551 Publikationen
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2025 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 3001606Towards Reliable Drift Detection and Explanation in Text DataPUB | DOI | WoS
Feldhans R, Hammer B (2025)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2024, PT I. Lecture Notes in Computer Science, 15346. Cham: Springer : 301-312. -
2025 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 3001658Development of a digital twin for data-driven modeling of punch-bending processes using a graphical modeling notationPUB | DOI | WoS
Peters H, Mazur A, Pandey AK, Trächtler A, Hammer B, Homberg W (2025)
at - Automatisierungstechnik 73(3): 173-184. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2989164FashionFail: Addressing Failure Cases in Fashion Object Detection and SegmentationPUB | DOI | WoS | arXiv
Velioglu R, Chan RK-W, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN). New York: Institute of Electrical and Electronics Engineers (IEEE). -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 3001615Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Benard ConvectionPUB | DOI | WoS
Markmann T, Straat M, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN). New York: Institute of Electrical and Electronics Engineers (IEEE). -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 3001626Federated Loss Exploration for Improved Convergence on Non-IID DataPUB | DOI | WoS
Internò C, Olhofer M, Jin Y, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN). New York: Institute of Electrical and Electronics Engineers (IEEE). -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993740Localizing of Anomalies in Critical Infrastructure using Model-Based Drift ExplanationsPUB | DOI | WoS
Vaquet V, Hinder F, Vaquet J, Lammers K, Quakernack L, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992441The SAME score: Improved cosine based measure for semantic biasPUB | DOI | WoS
Schroeder S, Schulz A, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8. -
2024 | Konferenzbeitrag | PUB-ID: 3000176KernelSHAP-IQ: Weighted Least Square Optimization for Shapley InteractionsPUB
Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B (2024)
In: Proceedings of the 41st International Conference on Machine Learning. Salakhutdinov R, Kolter Z, Heller K, Weller A, Oliver N, Scarlett J, Berkenkamp F (Eds); Proceedings of Machine Learning Research, 235. PMLR: 14308-14342. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993714
Visualizing and Improving 3D Mesh Segmentation with DeepViewPUB | PDF | DOI | Download (ext.)
Mazur A, Roberts J (I), Leins D, Schulz A, Hammer B (2024)
In: ESANN 2024 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 649-654. -
2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2993739Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution NetworksPUB | DOI | WoS
Vaquet V, Hinder F, Artelt A, Ashraf I, Strotherm J, Vaquet J, Brinkrolf J, Hammer B (2024)
In: Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX. Wand M, Malinovská K, Schmidhuber J, Tetko IV (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 155-170. -
2024 | Preprint | PUB-ID: 2999454TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion ModelsPUB | arXiv
Velioglu R, Bevandic P, Chan R, Hammer B (2024)
arXiv:2411.18350. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2994141Similarity-Based Zero-Shot Domain Adaptation for WearablesPUB | DOI
Vieth M, Grimmelsmann N, Schneider A, Hammer B (2024)
In: ESANN 2024 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 221-226. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2994158Explaining Neural Networks - Deep and ShallowPUB | DOI | WoS
Hammer B (2024)
In: Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond (WSOM+ 2024) . Villmann T, Kaden M, Geweniger T, Schleif F-M (Eds); Lecture Notes in Networks and Systems, 1087. Cham: Springer : 139-140. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2991394SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through StratificationPUB | WoS | arXiv
Kolpaczki P, Muschalik M, Fumagalli F, Hammer B, Hüllermeier E (2024)
In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain. Dasgupta S, Mandt S, Li Y (Eds); Proceedings of Machine Learning Research, 238. San Diego: PMLR: 3520-3528. -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2994227EPyT-Flow: A Toolkit for Generating Water DistributionNetwork DataPUB | DOI
Artelt A, Kyriakou MS, Vrachimis SG, Eliades DG, Hammer B, Polycarpou MM (2024)
Journal of Open Source Software 9(103): 7104. -
2024 | Konferenzbeitrag | PUB-ID: 2992095FairGLVQ: Fairness in Partition-Based ClassificationPUB | DOI | Download (ext.) | WoS
Störck F, Hinder F, Brinkrolf J, Paaßen B, Vaquet V, Hammer B (2024)
In: Proceedings of the 15th International Workshop on Self-Organizing Maps (WSOM 2024). Villmann T, Kaden M, Geweniger T, Schleif F-M (Eds); Cham: Springer Nature Switzerland: 141-151. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993721Novel approach for data-driven modelling of multi-stage straightening and bending processesPUB | DOI
Peters H, Djakow E, Rostek T, Mazur A, Trächtler A, Homberg W, Hammer B (2024)
In: Material Forming: ESAFORM 2024. Materials Research Proceedings, 41. Materials Research Forum LLC: 2289-2298. -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2993652Image restoration in frequency space using complex-valued CNNsPUB | DOI | WoS | PubMed | Europe PMC
Shah ZH, Müller M, Hübner W, Ortkraß H, Hammer B, Huser T, Schenck W (2024)
Frontiers in Artificial Intelligence 7: 1353873. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993852Noise Robust One-Class Intrusion Detection on Dynamic GraphsPUB | DOI
Liuliakov A, Schulz A, Hermes L, Hammer B (2024)
In: ESANN 2024 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 363-368. -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2991468
One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept driftPUB | PDF | DOI | WoS | PubMed | Europe PMC
Hinder F, Vaquet V, Hammer B (2024)
Frontiers in Artificial Intelligence 7. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993744Self-Supervised Learning from Incrementally Drifting Data StreamsPUB | DOI
Vaquet V, Vaquet J, Hinder F, Malialis K, Panayiotou C, Polycarpou M, Hammer B (2024)
In: ESANN 2024 proceesdings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 431-436. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993743On the Fine Structure of Drifting FeaturesPUB | DOI
Hinder F, Vaquet V, Hammer B (2024)
In: ESANN 2024 proceesdings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 63-68. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993741Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic UncertaintyPUB | DOI
Brinkrolf J, Vaquet V, Hinder F, Hammer B (2024)
In: ESANN 2024 proceesdings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 191-196. -
2024 | Report | Veröffentlicht | PUB-ID: 2992602
Sustainable Life-Cycle of Intelligent Socio-Technical SystemsPUB | Dateien verfügbar | DOI
Hammer B, Alaçam Ö, Arlinghaus CS, Brinkmann M, Dörksen H, Hoeken S, Jungeblut T, Knaup J, Leite D, Lohweg V, Maier GW, et al. (2024) . -
2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2988509A Remark on Concept Drift for Dependent DataPUB | DOI | WoS
Hinder F, Vaquet V, Hammer B (2024)
In: Advances in Intelligent Data Analysis XXII. 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part I. Miliou I, Piatkowski N, Papapetrou P (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 77-89. -
2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2992700Fairness in KI-SystemenPUB | DOI | arXiv
Strotherm J, Müller A, Hammer B, Paaßen B (2024)
In: Vertrauen in Künstliche Intelligenz. Eine multi-perspektivische Betrachtung. Schork S (Ed); Wiesbaden: Springer Fachmedien Wiesbaden: 163-183. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992337
A Water Futures Approach on Water Demand Forecasting with Online Ensemble LearningPUB | PDF | DOI
Zanutto D, Michalopoulos C, Chatzistefanou G-A, Vamvakeridou-Lyroudia L, Tsiami L, Glynis K, Samartzis P, Hermes L, Hinder F, Vaquet J, Vaquet V, et al. (2024)
In: The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024). Basel Switzerland: MDPI: 60. -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2991444Feature-based analyses of concept driftPUB | DOI | WoS
Hinder F, Vaquet V, Hammer B (2024)
Neurocomputing 600: 127968. -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2991310
One or two things we know about concept drift-a survey on monitoring in evolving environments. Part A: detecting concept driftPUB | PDF | DOI | WoS | PubMed | Europe PMC
Hinder F, Vaquet V, Hammer B (2024)
Frontiers in Artificial Intelligence 7: 1330257. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572Semantic Properties of Cosine Based Bias Scores for Word EmbeddingsPUB | DOI
Schroeder S, Schulz A, Hinder F, Hammer B (2024)
In: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 160-168. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987573Predicting the Level of Co-Activation of One Muscle Head from the Other Muscle Head of the Biceps Brachii Muscle by Linear Regression and Shallow Feedforward Neural NetworksPUB | DOI
Grimmelsmann N, Mechtenberg M, Vieth M, Schulz A, Hammer B, Schneider A (2024)
In: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 611-621. -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988165Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree EnsemblesPUB | DOI
Muschalik M, Fumagalli F, Hammer B, Hüllermeier E (2024)
Proceedings of the AAAI Conference on Artificial Intelligence 38(13): 14388-14396. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2988098Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution NetworksPUB | DOI
Vaquet V, Hinder F, Hammer B (2024)
In: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods ICPRAM. Volume 1. SCITEPRESS - Science and Technology Publications: 296-303. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984049Spatial Graph Convolution Neural Networks for Water Distribution SystemsPUB | DOI
Ashraf MI, Hermes L, Artelt A, Hammer B (2023)
In: Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Crémilleux B, Hess S, Nijssen S (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 29-41. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983942iPDP: On Partial Dependence Plots in Dynamic Modeling ScenariosPUB | DOI | WoS
Muschalik M, Fumagalli F, Jagtani R, Hammer B, Hüllermeier E (2023)
In: Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I. Longo L (Ed); Communications in Computer and Information Science. Cham: Springer Nature Switzerland: 177-194. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983795For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAIPUB | DOI | WoS
Kuhl U, Artelt A, Hammer B (2023)
In: Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part III. Longo L (Ed); Communications in Computer and Information Science. Cham: Springer Nature Switzerland: 280-300. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987580SHAP-IQ: Unified Approximation of any-order Shapley InteractionsPUB | Download (ext.) | WoS | arXiv
Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B (2023)
In: Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Advances in Neural Information Processing Systems. . -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980429
Metric Learning with Self-Adjusting Memory for Explaining Feature DriftPUB | PDF | DOI
Kummert J, Schulz A, Hammer B (2023)
SN Computer Science 4(4): 376. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979703AutoML technologies for the identification of sparse classification and outlier detection modelsPUB | DOI | WoS
Liuliakov A, Hermes L, Hammer B (2023)
Applied Soft Computing 133: 109942. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979026Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data StreamsPUB | DOI | WoS
Jakob J, Artelt A, Hasenjäger M, Hammer B (2023)
Applied Artificial Intelligence 37(1): 2198846. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985684Generating Cardiovascular Data to Improve Training of Assistive Heart DevicesPUB | DOI
Kummert J, Schulz A, Feldhans R, Habigt M, Stemmler M, Kohler C, Abel D, Rossaint R, Hammer B (2023)
In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 1292-1297. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969734
Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learningPUB | PDF | DOI | Download (ext.) | WoS | arXiv
Kuhl U, Artelt A, Hammer B (2023)
Frontiers in Computer Science 5: 1087929. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985683Data Augmentation for Cardiovascular Time Series Data Using WaveNetPUB | DOI
Feldhans R, Schulz A, Kummert J, Habigt M, Stemmler M, Kohler C, Abel D, Rossaint R, Hammer B (2023)
In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 836-841. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980971Fairness-Enhancing Ensemble Classification in Water Distribution NetworksPUB | DOI | Download (ext.)
Strotherm J, Hammer B (2023)
Presented at the International Work-Conference on Artificial Neural Networks (IWANN) 2023, Ponta Delgada. -
2023 | Konferenzbeitrag | Angenommen | PUB-ID: 2982899
Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor ShiftsPUB | PDF
Vaquet V, Brinkrolf J, Hammer B (Accepted) . -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2977934On the Change of Decision Boundary and Loss in Learning with Concept DriftPUB | DOI
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)
In: Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Crémilleux B, Hess S, Nijssen S (Eds); Lecture Notes in Computer Science, 13876. Cham: Springer : 182-194. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982167On the Hardness and Necessity of Supervised Concept Drift DetectionPUB | DOI
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods ICPRAM. Vol. 1. De Marsico M, Sanniti di Baja G, Fred A (Eds); Setúbal: SCITEPRESS - Science and Technology Publications: 164-175. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381So Can We Use Intrinsic Bias Measures or Not?PUB | DOI
Schroeder S, Schulz A, Kenneweg P, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 403-410. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382Debiasing Sentence Embedders Through Contrastive Word PairsPUB | DOI
Kenneweg P, Schroeder S, Schulz A, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 205-212. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969383"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality ReductionPUB | DOI | arXiv
Artelt A, Schulz A, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 27-38. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983756On Feature Removal for Explainability in Dynamic EnvironmentsPUB | DOI
Fumagalli F, Muschalik M, Hüllermeier E, Hammer B (2023)
In: ESANN 2023 proceedings. 83-88. -
2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983727Incremental permutation feature importance (iPFI): towards online explanations on data streamsPUB | DOI | WoS
Fumagalli F, Muschalik M, Hüllermeier E, Hammer B (2023)
Machine Learning . -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983250Extending Drift Detection Methods to Identify When Exactly the Change HappenedPUB | DOI
Vieth M, Schulz A, Hammer B (2023)
In: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 92-104. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983455One-Class Intrusion Detection with Dynamic GraphsPUB | DOI
Liuliakov A, Schulz A, Hermes L, Hammer B (2023)
In: Artificial Neural Networks and Machine Learning – ICANN 2023. 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part IV. Iliadis L, Papaleonidas A, Angelov P, Jayne C (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 537-549. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983943iSAGE: An Incremental Version of SAGE for Online Explanation on Data StreamsPUB | DOI
Muschalik M, Fumagalli F, Hammer B, Hüllermeier E (2023)
In: Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part III. Koutra D, Plant C, Gomez Rodriguez M, Baralis E, Bonchi F (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 428-445. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981289Model-based explanations of concept driftPUB | DOI | Download (ext.) | WoS
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)
Neurocomputing: 126640. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985571Unsupervised Unlearning of Concept Drift with AutoencodersPUB | DOI
Artelt A, Malialis K, Panayiotou CG, Polycarpou MM, Hammer B (2023)
In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 703-710. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982830Feature Selection for Concept Drift DetectionPUB
Hinder F, Hammer B (2023)
In: ESANN 2023 Proceedings. Verleysen M (Ed); . -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983759Behavioral Economics and Neuroeconomics of Environmental ValuesPUB | DOI | Download (ext.) | WoS
Koundouri P, Hammer B, Kuhl U, Velias A (2023)
Annual Review of Resource Economics 15(1): 153-176. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984048Best of both, Structured and Unstructured Sparsity in Neural NetworksPUB | DOI
Schulte-Schüren C, Wagner S, Runge A, Bariamis D, Hammer B, Yoneki E, Nardi L (2023)
In: Proceedings of the 3rd Workshop on Machine Learning and Systems. New York, NY, USA: ACM: 104-108. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984047Faster Convergence for Transformer Fine-tuning with Line Search MethodsPUB | DOI
Kenneweg P, Galli L, Kenneweg T, Hammer B (2023)
In: 2023 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983728"I do not know! but why?"- Local model-agnostic example-based explanations of rejectPUB | DOI | WoS
Artelt A, Visser R, Hammer B (2023)
Neurocomputing 558: 126722. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983457Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness EvaluationPUB | DOI
Schroeder S, Schulz A, Tarakanov I, Feldhans R, Hammer B (2023)
In: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 134-145. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983406Adversarial Attacks on Leakage Detectors in Water Distribution NetworksPUB | DOI | Preprint
Stahlhofen P, Artelt A, Hermes L, Hammer B (2023)
In: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 451-463. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978162
Unsupervised Cyclic Siamese Networks Automating Cell Imagery AnalysisPUB | PDF | DOI | WoS
Stallmann D, Hammer B (2023)
Algorithms 16(4): 205. -
2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2968921Modularity in Nervous Systems-a Key to Efficient Adaptivity for Deep Reinforcement LearningPUB | DOI | WoS
Schilling M, Hammer B, Ohl FW, Ritter H, Wiskott L (2023)
Cognitive Computation. -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962746
Contrasting Explanations for Understanding and Regularizing Model AdaptationsPUB | PDF | DOI | Download (ext.) | WoS
Artelt A, Hinder F, Vaquet V, Feldhans R, Hammer B (2022)
Neural Processing Letters 55: 5273–5297. -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2967683
Novel transfer learning schemes based on Siamese networks and synthetic dataPUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
Kenneweg P, Stallmann D, Hammer B (2022)
Neural Computing and Applications 35: 8423–8436. -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982135Reject Options for Incremental Regression ScenariosPUB | DOI
Jakob J, Hasenjäger M, Hammer B (2022)
In: Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV. Pimenidis E, Angelov P, Jayne C, Papaleonidas A, Aydin M (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 248-259. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969736Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract SettingPUB | DOI | Download (ext.)
Kuhl U, Artelt A, Hammer B (2022)
In: 2022 ACM Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM: 2125-2137. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969235Stream-Based Active Learning with Verification Latency in Non-stationary EnvironmentsPUB | DOI | Download (ext.)
Castellani A, Schmitt S, Hammer B (2022)
In: Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV. Pimenidis E, Angelov P, Jayne C, Papaleonidas A, Aydin M (Eds); Lecture Notes in Computer Science, 13532. Cham: Springer Nature Switzerland: 260-272. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969461“Even if …” – Diverse Semifactual Explanations of RejectPUB | DOI
Artelt A, Hammer B (2022)
In: 2022 IEEE Symposium Series on Computational Intelligence (SSCI). Ishibuchi H (Ed); Piscataway, NJ: IEEE: 854-859. -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296Explainable Artificial Intelligence for Improved Modeling of ProcessesPUB | DOI
Velioglu R, Göpfert JP, Artelt A, Hammer B (2022)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 13756. Cham: Springer International Publishing: 313-325. -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2969459SAM-kNN Regressor for Online Learning in Water Distribution NetworksPUB | DOI
Jakob J, Artelt A, Hasenjäger M, Hammer B (2022)
In: Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part III. Pimenidis E, Angelov P, Jayne C, Papaleonidas A, Aydin M (Eds); Lecture Notes in Computer Science, 13531. Cham: Springer Nature : 752-762. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969460Explaining Reject Options of Learning Vector Quantization ClassifiersPUB | DOI
Artelt A, Brinkrolf J, Visser R, Hammer B (2022)
In: Proceedings of the 14th International Joint Conference on Computational Intelligence. SCITEPRESS - Science and Technology Publications: 249-261. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088Localization of Concept Drift: Identifying the Drifting DatapointsPUB | DOI | Download (ext.)
Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022)
In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-9. -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967410Efficient Sensor Selection for Individualized Prediction Based on BiosignalsPUB | DOI | Download (ext.)
Vieth M, Grimmelsmann N, Schneider A, Hammer B (2022)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 13756. Cham: Springer International Publishing: 326-337. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966600Neural Architecture Search for Sentence Classification with BERTPUB | DOI
Kenneweg P, Schroeder S, Hammer B (2022)
In: ESANN 2022 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 417-422. -
2022 | Konferenzbeitrag | Angenommen | PUB-ID: 2964534Federated learning vector quantization for dealing with drift between nodesPUB
Vaquet V, Hinder F, Brinkrolf J, Menz P, Seiffert U, Hammer B (Accepted)
Presented at the 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges. -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2964421Agnostic Explanation of Model Change based on Feature ImportancePUB | DOI | Download (ext.) | WoS
Muschalik M, Fumagalli F, Hammer B, Hüllermeier E (2022)
KI - Künstliche Intelligenz. -
2022 | Report | Veröffentlicht | PUB-ID: 2965286Faire Algorithmen und die Fairness von Erklärungen: Informatische, rechtliche und ethische PerspektivenPUB | DOI | Download (ext.)
Artelt A, Geminn C, Hammer B, Manzeschke A, Mavrina L, Weber C (2022)
DuEPublico: Duisburg-Essen Publications online, University of Duisburg-Essen, Germany. -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962928Investigating Intensity and Transversal Drift in Hyperspectral Imaging DataPUB | DOI | WoS
Vaquet V, Menz P, Seiffert U, Hammer B (2022)
Neurocomputing. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962650
Taking care of our drinking water: Dealing with Sensor Faults in Water Distribution NetworksPUB | PDF
Vaquet V, Artelt A, Brinkrolf J, Hammer B (2022)
Presented at the 31st International Conference on Artificial Neural Networks, Bristol. -
2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861Localization of Concept Drift: Identifying the Drifting DatapointsPUB
Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022) . -
2022 | Preprint | PUB-ID: 2962919
One Explanation to Rule them All — Ensemble Consistent ExplanationsPUB | PDF | Download (ext.) | arXiv
Artelt A, Vrachimis S, Eliades D, Polycarpou M, Hammer B (2022)
ArXiv:2205.08974 . -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in TransformersPUB | DOI
Kenneweg P, Schulz A, Schroeder S, Hammer B (2022)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 13756. Cham: Springer International Publishing: 252-261. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987492Long-Term Transitioning of Water Distribution Systems: ERC Water-Futures ProjectPUB | DOI
Savic D, Hammer B, Koundouri P, Polycarpou M (2022)
In: Proceedings - 2nd International Join Conference on Water Distribution System Analysis (WDSA)& Computing and Control in the Water Industry (CCWI). València: Editorial Universitat Politècnica de València. -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984050Suitability of Different Metric Choices for Concept Drift DetectionPUB | DOI
Hinder F, Vaquet V, Hammer B (2022)
In: Advances in Intelligent Data Analysis XX. 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20–22, 2022, Proceedings. Bouadi T, Fromont E, Hüllermeier E (Eds); Lecture Notes in Computer Science. Cham: Springer International Publishing: 157-170. -
2022 | Zeitschriftenaufsatz | PUB-ID: 2978998Reservoir Memory Machines as Neural ComputersPUB | DOI | Download (ext.) | arXiv
Paaßen B, Schulz A, C. Stewart T, Hammer B (2022)
IEEE Transactions on Neural Networks and Learning Systems 33(6): 2575–2585. -
2022 | Report | Veröffentlicht | PUB-ID: 2965622
Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen LernensPUB | PDF | DOI
Hammer B, Hüllermeier E, Lohweg V, Schneider A, Schenck W, Kuhl U, Braun M, Pfeifer A, Holst C-A, Schmidt M, Schomaker G, et al. (2022)
Bielefeld: Univ. Bielefeld, Forschungsinstitut für Kognition und Robotik. -
2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964829BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based ModelsPUB | DOI | arXiv
Langnickel L, Schulz A, Hammer B, Fluck J (2022)
arXiv. -
2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961873Interpretable locally adaptive nearest neighborsPUB | DOI | WoS
Göpfert JP, Wersing H, Hammer B (2022)
Neurocomputing 470: 344-351. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958662Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement LearningPUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
Schilling M, Melnik A, Ohl FW, Ritter H, Hammer B (2021)
Neural Networks 144: 699-725. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982134Task-Sensitive Concept Drift Detector with Constraint EmbeddingPUB | DOI
Castellani A, Schmitt S, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 01-08. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982136On the suitability of incremental learning for regression tasks in exoskeleton controlPUB | DOI
Jakob J, Hasenjäger M, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 1-8. -
2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982165AutoML Technologies for the Identification of Sparse ModelsPUB | DOI
Liuliakov A, Hammer B (2021)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2021. 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings. Yin H, Camacho D, Tino P, Allmendinger R, Tallón-Ballesteros AJ, Tang K, Cho S-B, Novais P, Nascimento S (Eds); Lecture Notes in Computer Science, 13113. Cham: Springer : 65-75. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969237Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label NoisePUB | DOI | Download (ext.)
Castellani A, Schmitt S, Hammer B (2021)
In: Machine Learning and Knowledge Discovery in Databases. Research Track. European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I. Oliver N, Pérez-Cruz F, Kramer S, Read J, Lozano JA (Eds); Lecture Notes in Computer Science, 12975. Cham: Springer International Publishing: 469-484. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957340Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiersPUB | DOI | Download (ext.) | WoS
Artelt A, Hammer B (2021)
Neurocomputing 470(VSI: ESANN 2020): 304-317. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957373Contrastive Explanations for Explaining Model AdaptationsPUB | DOI
Artelt A, Hinder F, Vaquet V, Feldhans R, Hammer B (2021)
In: Advances in Computational Intelligence. 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science. Cham: Springer : 101-112. -
2021 | Preprint | PUB-ID: 2959899Convex optimization for actionable & plausible counterfactual explanationsPUB | Download (ext.) | arXiv
Artelt A, Hammer B (2021)
arXiv: 2105.07630v1. -
2021 | Konferenzbeitrag | PUB-ID: 2959428Fast Non-Parametric Conditional Density Estimation using Moment TreesPUB
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)
IEEE Computational Intelligence Magazine. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960754A Shape-Based Method for Concept Drift Detection and Signal DenoisingPUB | DOI
Hinder F, Brinkrolf J, Vaquet V, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE: 01-08. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960755Fast Non-Parametric Conditional Density Estimation using Moment TreesPUB | DOI
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE: 1-7. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960685Investigating Intensity and Transversal Drift in Hyperspectral Imaging DataPUB | DOI
Vaquet V, Menz P, Seiffert U, Hammer B (2021)
In: ESANN 2021 proceedings. Verleysen M (Ed); Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 47-52. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960687Online Learning on Non-Stationary Data Streams for Image Recognition using Deep EmbeddingsPUB | DOI
Vaquet V, Hinder F, Vaquet J, Brinkrolf J, Hammer B (2021)
IEEE Symposium Series on Computational Intelligence: 1-7. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747Evaluating Robustness of Counterfactual ExplanationsPUB | DOI
Artelt A, Vaquet V, Velioglu R, Hinder F, Brinkrolf J, Schilling M, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE: 01-09. -
2021 | Report | Veröffentlicht | PUB-ID: 2954239Können Kinder aufgeklärte Nutzer* innen von Sprachassistenten sein? Rechtliche, psychologische, ethische und informatische PerspektivenPUB | DOI
Szczuka J, Artelt A, Geminn C, Hammer B, Kopp S, Manzeschke A, Rossnagel A, Slawik P, Strathmann C, Szymczyk N, Varonina L, et al. (2021)
Essen: Universität Duisburg-Essen, Universitätsbibliothek. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957588Efficient computation of contrastive explanationsPUB | DOI | Download (ext.)
Artelt A, Hammer B (2021)
In: 2021 International Joint Conference on Neural Networks (IJCNN). New York: Institute of Electrical and Electronics Engineers (IEEE): 1-9. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2949334
Explanation as a social practice: Toward a conceptual framework for the social design of AI systemsPUB | PDF | DOI | WoS
Rohlfing K, Cimiano P, Scharlau I, Matzner T, Buhl HM, Buschmeier H, Esposito E, Grimminger A, Hammer B, Häb-Umbach R, Horwath I, et al. (2021)
IEEE Transactions on Cognitive and Developmental Systems 13(3): 717--728. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954542 PUB | DOI | Download (ext.) | WoS | arXiv
-
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959418Intuitiveness in Active TeachingPUB | DOI | WoS
Göpfert JP, Kuhl U, Hindemith L, Wersing H, Hammer B (2021)
IEEE Transactions on Human-Machine Systems: 1-10. -
2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2956229Reservoir Memory Machines as Neural ComputersPUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC | arXiv
Paassen B, Schulz A, Stewart TC, Hammer B (2021)
IEEE Transactions on Neural Networks and Learning Systems: 1-11. -
2021 | Zeitschriftenaufsatz | Angenommen | PUB-ID: 2955245Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivationPUB | DOI | WoS | PubMed | Europe PMC
Stallmann D, Göpfert JP, Schmitz J, Grünberger A, Hammer B (Accepted)
Bioinformatics . -
2021 | Konferenzbeitrag | PUB-ID: 2958664Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion ForecastingPUB | arXiv
Hermes L, Hammer B, Schilling M (2021)
In: ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. . 111-116. -
2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2956774Concept Drift Segmentation via Kolmogorov TreesPUB
Hinder F, Hammer B (Accepted)
In: Proceedings of the ESANN, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); . -
2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2955948Federated Learning Vector QuantizationPUB
Brinkrolf J, Hammer B (Accepted)
In: Proceedings of the ESANN, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); . -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2952937
Efficient Reject Options for Particle Filter Object Tracking in Medical ApplicationsPUB | PDF | DOI | WoS | PubMed | Europe PMC
Kummert J, Schulz A, Redick T, Ayoub N, Modabber A, Abel D, Hammer B (2021)
Sensors 21(6): 2114. -
2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2955115Supervised learning in the presence of concept drift: a modelling frameworkPUB | DOI | WoS
Straat M, Abadi F, Kan Z, Göpfert C, Hammer B, Biehl M (2021)
Neural Computing and Applications. -
2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958328Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced DataPUB | DOI
Vaquet V, Hammer B (2020)
In: Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II. Farkaš I, Masulli P, Wermter S (Eds); Lecture Notes in Computer Science, 12397. Cham: Springer: 850-862. -
2020 | Konferenzbeitrag | PUB-ID: 2946488Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)PUB | Download (ext.)
Hinder F, Artelt A, Hammer B (2020)
In: Proceedings of the 37th International Conference on Machine Learning. -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946685Efficient computation of counterfactual explanations of LVQ modelsPUB | Download (ext.)
Artelt A, Hammer B (2020)
In: ESANN 2020 - proceedings. Verleysen M (Ed); Louvain-la-Neuve: Ciaco : 19-24. -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946761Convex Density Constraints for Computing Plausible Counterfactual ExplanationsPUB | DOI | Download (ext.)
Artelt A, Hammer B (2020)
In: Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part {I}. Farkas I, Masulli P, Wermter S (Eds); Lecture Notes in Computer Science, 12396. Cham: Springer: 353-365. -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957814Improving and Evaluating Conversational User Interfaces for ChildrenPUB
Krämer N, Szczuka J, Rossnagel A, Geminn C, Kopp S, Hammer B, Mavrina L, Artelt A, Manzeschke A, Weber C (2020)
In: IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces. New York: Association for Computing Machinery. -
2020 | Konferenzbeitrag | PUB-ID: 2943260DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionPUB | DOI | Download (ext.) | arXiv
Schulz A, Hinder F, Hammer B (2020)
In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}. -
2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982081Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling FrameworkPUB | DOI
Biehl M, Abadi F, Göpfert C, Hammer B (2020)
In: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019. Vellido A, Gibert K, Angulo C, Martín Guerrero JD (Eds); Advances in Intelligent Systems and Computing. Cham: Springer International Publishing: 210-221. -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2940666Sparse Metric Learning in Prototype-based ClassificationPUB
Brinkrolf J, Hammer B (2020)
In: Proceedings of the ESANN, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); 375-380. -
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939517Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged InformationPUB | DOI | Download (ext.) | WoS | arXiv
Pfannschmidt L, Jakob J, Hinder F, Biehl M, Tino P, Hammer B (2020)
Neurocomputing. -
2020 | Report | Veröffentlicht | PUB-ID: 2946614
Sustainability and Trust for Artificial Intelligence TechnologiesPUB | PDF | DOI
Hammer B, van der Aalst W, Bauckhage C, Behnke S, Holz T, Krämer N, Morik K, Ngonga Ngomo A-C (2020) . -
2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2942892Brain-inspired computing and machine learningPUB | DOI | WoS
Iliadis LS, Kurkova V, Hammer B (2020)
NEURAL COMPUTING & APPLICATIONS. -
2020 | Preprint | Entwurf | PUB-ID: 2942271
Sequential Feature Classification in the Context of RedundanciesPUB | PDF | arXiv
Pfannschmidt L, Hammer B (Draft) . -
2019 | Preprint | PUB-ID: 2959898On the computation of counterfactual explanations - A surveyPUB | Download (ext.) | arXiv
Artelt A, Hammer B (2019)
arXiv: 1911.07749v1. -
2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982085Recovering Localized Adversarial AttacksPUB | DOI
Göpfert JP, Wersing H, Hammer B (2019)
In: Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I. Tetko IV, Kůrková V, Karpov P, Theis F (Eds); Lecture Notes in Computer Science. Cham: Springer International Publishing: 302-311. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982084Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement UnitsPUB | DOI
Losing V, Yoshikawa T, Hasenjaeger M, Hammer B, Wersing H (2019)
In: 2019 International Conference on Robotics and Automation (ICRA). IEEE: 9530-9536. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982082Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation LearningPUB | DOI
Hosseini B, Hammer B (2019)
In: 2019 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982083On the Identification of Decision Boundaries for Anomaly Detection in CPPSPUB | DOI
Li P, Niggemann O, Hammer B (2019)
In: 2019 IEEE International Conference on Industrial Technology (ICIT). IEEE: 1311-1316. -
2019 | Monographie | PUB-ID: 2935200
Lecture Notes on Applied OptimizationPUB | Dateien verfügbar
Paaßen B, Artelt A, Hammer B (2019)
Faculty of Technology, Bielefeld University. -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458
Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer LearningPUB | PDF | DOI | WoS | PubMed | Europe PMC
Prahm C, Schulz A, Paaßen B, Schoisswohl J, Kaniusas E, Dorffner G, Hammer B, Aszmann O (2019)
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27(5): 956-962. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933893Feature Relevance Bounds for Ordinal RegressionPUB | Download (ext.) | arXiv
Pfannschmidt L, Jakob J, Biehl M, Tino P, Hammer B (2019)
In: Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Verleysen M (Ed); Louvain-la-Neuve: i6doc. -
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937842
Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and SegmentationPUB | Datei | arXiv
Hosseini B, Hammer B (Accepted)
Presented at the 2019 IEEE International Conference on Data Mining (ICDM), Beijing. -
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937841
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature SelectionPUB | Datei | arXiv
Hosseini B, Hammer B (Accepted)
Presented at the The 28th ACM International Conference on Information and Knowledge Management (CIKM) , Beijing. -
2019 | Report | Veröffentlicht | PUB-ID: 2937888KI-basierte Sprachassistenten im Alltag: Forschungsbedarf aus informatischer, psychologischer, ethischer und rechtlicher SichtPUB | DOI | Download (ext.)
Krämer N, Artelt A, Geminn C, Hammer B, Kopp S, Manzeschke A, Rossnagel A, Slawik P, Szczuka J, Varonina L, Weber C (2019)
Universität Duisburg-Essen, Universitätsbibliothek. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937839
Interpretable Discriminative Dimensionality Reduction and Feature Selection on the ManifoldPUB | Datei | arXiv
Hosseini B, Hammer B (2019)
Presented at the 2019 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML), Würzburg. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935456
FRI - Feature Relevance Intervals for Interpretable and Interactive Data ExplorationPUB | PDF | DOI | arXiv
Pfannschmidt L, Göpfert C, Neumann U, Heider D, Hammer B (2019)
Presented at the 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, Certosa di Pontignano, Siena - Tuscany, Italy. -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2933715
Differential privacy for learning vector quantizationPUB | PDF | DOI | WoS
Brinkrolf J, Göpfert C, Hammer B (2019)
Neurocomputing 342: 125-136. -
2019 | Konferenzbeitrag | PUB-ID: 2930303Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-seriesPUB | arXiv
Hosseini B, Hammer B (2019)
In: Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Verleysen M (Ed); . -
2019 | Konferenzbeitrag | PUB-ID: 2934192Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation LearningPUB | arXiv
Hosseini B, Hammer B (2019)
Presented at the The 2019 International Joint Conference on Neural Networks (IJCNN), Budapest. -
2019 | Preprint | Veröffentlicht | PUB-ID: 2934181Adversarial attacks hidden in plain sightPUB | DOI | arXiv
Göpfert JP, Wersing H, Hammer B (2019) . -
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932914Time integration and reject options for probabilistic output of pairwise LVQPUB | DOI | WoS
Brinkrolf J, Hammer B (2019)
Neural Computing and Applications. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2931283
Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child AffettoPUB | PDF
Queißer J, Ishihara H, Hammer B, Steil JJ, Asada M (2018)
Presented at the International Conference on Development and Learning and on Epigenetic Robotics 2018 (ICDL-EPIROB2018), Tokyo . -
2018 | Datenpublikation | PUB-ID: 2930611
Classification of motor errors to provide real-time feedback for sports coaching in virtual reality - A case study in squats and Tai Chi pushes (Data)PUB | Dateien verfügbar | DOI
Hülsmann F, Göpfert JP, Hammer B, Kopp S, Botsch M (2018)
Bielefeld University. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2930862Classification of motor errors to provide real-time feedback for sports coaching in virtual reality — A case study in squats and Tai Chi pushesPUB | DOI | Download (ext.) | WoS
Hülsmann F, Göpfert JP, Hammer B, Kopp S, Botsch M (2018)
Computers & Graphics 76: 47-59. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982092Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child AffettoPUB | DOI
Queisser JF, Hammer B, Ishihara H, Asada M, Steil JJ (2018)
In: 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE: 39-45. -
2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982090Non-negative Local Sparse Coding for Subspace ClusteringPUB | DOI
Hosseini B, Hammer B (2018)
In: Advances in Intelligent Data Analysis XVII. 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings. Duivesteijn W, Siebes A, Ukkonen A (Eds); Lecture Notes in Computer Science. Cham: Springer International Publishing: 137-150. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982089Generation of Adversarial Examples to Prevent Misclassification of Deep Neural Network based Condition Monitoring Systems for Cyber-Physical Production SystemsPUB | DOI
Specht F, Otto J, Niggemann O, Hammer B (2018)
In: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN). IEEE: 760-765. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982088Enhancing Very Fast Decision Trees with Local Split-Time PredictionsPUB | DOI
Losing V, Wersing H, Hammer B (2018)
In: 2018 IEEE International Conference on Data Mining (ICDM). IEEE: 287-296. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982087Confident Kernel Sparse Coding and Dictionary LearningPUB | DOI
Hosseini B, Hammer B (2018)
In: 2018 IEEE International Conference on Data Mining (ICDM). IEEE: 1031-1036. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982086A Geometric Approach to Clustering Based Anomaly Detection for Industrial ApplicationsPUB | DOI
Li P, Niggemann O, Hammer B (2018)
In: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IEEE: 5345-5352. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932412Statistical Mechanics of On-Line Learning Under Concept DriftPUB | DOI | WoS | PubMed | Europe PMC
Straat M, Abadi F, Göpfert C, Hammer B, Biehl M (2018)
ENTROPY 20(10): 775. -
2018 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2917896flowLearn: Fast and precise identification and quality checking of cell populations in flow cytometryPUB | DOI | WoS | PubMed | Europe PMC
Lux M, Brinkman RR, Chauve C, Laing A, Lorenc A, Abeler-Dörner L, Hammer B (2018)
Bioinformatics 34(13): 2245-2253. -
2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2933557Inferring Temporal Structure from Predictability in Bumblebee Learning FlightPUB | DOI
Meyer S, Bertrand O, Egelhaaf M, Hammer B (2018)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2018. Yin H, Camacho D, Novais P, Tallón-Ballesteros AJ (Eds); Lecture Notes in Computer Science, 11314. Cham: Springer International Publishing: 508-519. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918254Differential private relevance learningPUB | Download (ext.)
Brinkrolf J, Berger K, Hammer B (2018)
In: Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018). Verleysen M (Ed); 555-560. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900Time Series Prediction for Graphs in Kernel and Dissimilarity SpacesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen B, Göpfert C, Hammer B (2018)
Neural Processing Letters 48(2): 669-689. -
2018 | Preprint | Veröffentlicht | PUB-ID: 2921209
Non-Negative Local Sparse Coding for Subspace ClusteringPUB | Datei | Download (ext.) | arXiv
Hosseini B, Hammer B (2018)
Advances in Intelligent Data Analysis XVII. IDA 2018. -
2018 | Konferenzbeitrag | Im Druck | PUB-ID: 2932116
Confident Kernel Sparse Coding and Dictionary LearningPUB | Datei | arXiv
Hosseini B, Hammer B (In Press)
In: 2018 IEEE International Conference on Data Mining (ICDM). -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919598Feasibility Based Large Margin Nearest Neighbor Metric LearningPUB | arXiv
Hosseini B, Hammer B (2018)
In: ESANN 2018. Proceedings of 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 219-224. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505Expectation maximization transfer learning and its application for bionic hand prosthesesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen B, Schulz A, Hahne J, Hammer B (2018)
Neurocomputing 298: 122-133. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2921316
Mitigating Concept Drift via RejectionPUB | PDF | DOI
Göpfert JP, Hammer B, Wersing H (2018)
In: Artificial Neural Networks and Machine Learning – ICANN 2018. Proceedings, Part I. Kurkova V, Manolopoulos Y, Hammer B, Iliadis L, Maglogiannis I (Eds); Lecture Notes in Computer Science, 11139. Cham: Springer. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2917201Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM)PUB | DOI | WoS
Losing V, Hammer B, Wersing H (2018)
KNOWLEDGE AND INFORMATION SYSTEMS 54(1): 171-201. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2915273
Interpretation of Linear Classifiers by Means of Feature Relevance BoundsPUB | PDF | DOI | WoS
Göpfert C, Pfannschmidt L, Göpfert JP, Hammer B (2018)
Neurocomputing 298: 69-79. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913389The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance SpacesPUB | Download (ext.) | arXiv
Paaßen B, Hammer B, Price T, Barnes T, Gross S, Pinkwart N (2018)
Journal of Educational Data Mining 10(1): 1-35. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844Tree Edit Distance Learning via Adaptive Symbol EmbeddingsPUB | Download (ext.) | arXiv
Paaßen B, Gallicchio C, Micheli A, Hammer B (2018)
In: Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Dy J, Krause A (Eds); Proceedings of Machine Learning Research, 80. 3973-3982. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914730
Incremental on-line learning: A review and comparison of state of the art algorithmsPUB | PDF | DOI | WoS
Losing V, Hammer B, Wersing H (2018)
Neurocomputing 275: 1261-1274. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918244Interpretable Machine Learning with Reject OptionPUB | DOI | WoS
Brinkrolf J, Hammer B (2018)
at - Automatisierungstechnik 66(4): 283-290. -
2018 | Konferenzbeitrag | PUB-ID: 2916318Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor ClassifierPUB | DOI
Berger K, Schulz A, Paaßen B, Hammer B (2018)
Presented at the SSCI CIDM 2017. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982095Label-noise-tolerant classification for streaming dataPUB | DOI
Frenay B, Hammer B (2017)
In: 2017 International Joint Conference on Neural Networks (IJCNN). IEEE: 1748-1755. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982091Personalized maneuver prediction at intersectionsPUB | DOI
Losing V, Hammer B, Wersing H (2017)
In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). IEEE: 1-6. -
2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2919987
Non-negative Kernel Sparse Coding Frameworks for Efficient Analysis of Motion DataPUB | PDF
Hosseini B, Hammer B (2017)
Presented at the BMVA Symposium on Human Activity Recognition and Monitoring, London. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369
An EM transfer learning algorithm with applications in bionic hand prosthesesPUB | PDF
Paaßen B, Schulz A, Hahne J, Hammer B (2017)
In: Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017). Verleysen M (Ed); Bruges: i6doc.com: 129-134. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914945Probabilistic extension and reject options for pairwise LVQPUB | DOI
Brinkrolf J, Hammer B (2017)
In: 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM). Piscataway, NJ: IEEE. -
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372
Efficient Kernelization of Discriminative Dimensionality ReductionPUB | PDF | DOI | WoS
Schulz A, Brinkrolf J, Hammer B (2017)
Neurocomputing 268(SI): 34-41. -
2017 | Konferenzbeitrag | PUB-ID: 2909371Prototype based models for the supervised learning of classificaton schemesPUB
Biehl M, Hammer B, Villmann T (2017)
In: Proc. of the IAU Symposium 325 on Astroinformatics, Sorrento/Italy, October 2016. in press. -
2017 | Konferenzbeitrag | PUB-ID: 2914950Differential Privacy for Learning Vector QuantizationPUB
Brinkrolf J, Berger K, Hammer B (2017)
In: New Challenges in Neural Computation. -
2017 | Konferenzbeitrag | PUB-ID: 2914734
Self-Adjusting Memory: How to Deal with Diverse Drift TypesPUB | PDF | DOI
Losing V, Hammer B, Wersing H (2017)
Presented at the International Joint Conference on Artificial Intelligence (IJCAI) 2017, Melbourne. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908201
Feature Relevance Bounds for Linear ClassificationPUB | Dateien verfügbar | Download (ext.)
Göpfert C, Pfannschmidt L, Hammer B (2017)
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 187--192. -
2017 | Konferenzbeitrag | PUB-ID: 2914732
Personalized Maneuver Prediction at IntersectionsPUB | PDF
Losing V, Hammer B, Wersing H (2017)
Presented at the IEEE Intelligent Transportation Systems Conference 2017, Yokohama. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913752
Effects of Variability in Synthetic Training Data on Convolutional Neural Networks for 3D Head ReconstructionPUB | PDF | DOI
Göpfert JP, Göpfert C, Botsch M, Hammer B (2017)
In: 2017 SSCI Proceedings. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE. -
2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2919990
Task-Driven Sparse Coding for Classification of Motion DataPUB | PDF
Hosseini B, Hammer B (2017)
Presented at the Ninth Mittweida Workshop on Computational Intelligence (MiWoCI 2017), Mittweida. -
2017 | Konferenzbeitrag | PUB-ID: 2909370Label-Noise-Tolerant Classification for Streaming DataPUB
Frenay B, Hammer B (2017)
In: IEEE International Joint Conference on Neural Neworks. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914141
Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First ResultsPUB | PDF
Aswolinskiy W, Hammer B (2017)
In: Proceedings of the Workshop on New Challenges in Neural Computation (NC2). Machine Learning Reports, 03/2017. Bielefeld: Universität Bielefeld, CITEC. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037
Echo State Networks as Novel Approach for Low-Cost Myoelectric ControlPUB | Dateien verfügbar | DOI
Prahm C, Schulz A, Paaßen B, Aszmann O, Hammer B, Dorffner G (2017)
In: Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017). ten Telje A, Popow C, Holmes JH, Sacchi L (Eds); Lecture Notes in Computer Science, 10259. Springer: 338--342. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2915274
Analyzing Feature Relevance for Linear Reject Option SVM using Relevance IntervalsPUB | PDF
Göpfert C, Göpfert JP, Hammer B (2017)
In: Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904469Non-Negative Kernel Sparse Coding for the Analysis of Motion DataPUB | PDF | DOI | Download (ext.) | arXiv
Hosseini B, Hülsmann F, Botsch M, Hammer B (2016)
In: Artificial Neural Networks and Machine Learning – ICANN 2016. E.P. Villa A, Masulli P, Javier Pons Rivero A (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer: 506-514. -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982097Prototype-based Models for the Supervised Learning of Classification SchemesPUB | DOI
Biehl M, Hammer B, Villmann T (2016)
Proceedings of the International Astronomical Union 12(S325): 129-138. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982096Online metric learning for an adaptation to confidence driftPUB | DOI
Fischer L, Hammer B, Wersing H (2016)
In: 2016 International Joint Conference on Neural Networks (IJCNN). IEEE: 748-755. -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2907633
acdc – Automated Contamination Detection and Confidence estimation for single-cell genome dataPUB | PDF | DOI | WoS | PubMed | Europe PMC
Lux M, Krüger J, Rinke C, Maus I, Schlüter A, Woyke T, Sczyrba A, Hammer B (2016)
BMC Bioinformatics 17(1): 543. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367Local Reject Option for Deterministic Multi-class SVMPUB | DOI
Kummert J, Paaßen B, Jensen J, Göpfert C, Hammer B (2016)
In: Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. E.P. Villa A, Masulli P, Pons Rivero AJ (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer Nature: 251--258. -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224
Adaptive structure metrics for automated feedback provision in intelligent tutoring systemsPUB | PDF | DOI | WoS
Paaßen B, Mokbel B, Hammer B (2016)
Neurocomputing 192(SI): 3-13. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904509Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for ProgrammingPUB | Download (ext.)
Paaßen B, Jensen J, Hammer B (2016)
In: Proceedings of the 9th International Conference on Educational Data Mining. Barnes T, Chi M, Feng M (Eds); Raleigh, North Carolina, USA: International Educational Datamining Society: 183-190. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676
Gaussian process prediction for time series of structured dataPUB | PDF
Paaßen B, Göpfert C, Hammer B (2016)
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 41--46. -
2016 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2904909
Discriminative Dimensionality Reduction in Kernel SpacePUB | PDF
Schulz A, Hammer B (2016)
In: ESANN2016 Proceedings. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium,27-29 April 2016. i6doc.com. -
2016 | Konferenzbeitrag | PUB-ID: 2909365Virtual optimisation for improved production planningPUB
Brinkrolf J, Mittag T, Joppen R, Dr\ A, Pietsch K-H, Hammer B (2016)
In: New Challenges in Neural Computation. -
2016 | Konferenzbeitrag | PUB-ID: 2907624
Choosing the Best Algorithm for an Incremental On-line Learning TaskPUB | PDF
Losing V, Hammer B, Wersing H (2016)
Presented at the European Symposium on Artificial Neural Networks, Brügge. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729
Convergence of Multi-pass Large Margin Nearest Neighbor Metric LearningPUB | PDF | DOI
Göpfert C, Paaßen B, Hammer B (2016)
In: Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. E.P. Villa A, Masulli P, Pons Rivero AJ (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer Nature: 510-517. -
2016 | Konferenzbeitrag | PUB-ID: 2908455
Dedicated Memory Models for Continual Learning in the Presence of Concept DriftPUB | PDF
Losing V, Hammer B, Wersing H (2016)
Presented at the Continual Learning Workshop of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855Linear Supervised Transfer Learning for Generalized Matrix LVQPUB | Download (ext.)
Paaßen B, Schulz A, Hammer B (2016)
In: Proceedings of the Workshop New Challenges in Neural Computation 2016. Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports(4). 11-18. -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2903457Odor recognition in robotics applications by discriminative time-series modelingPUB | DOI | WoS
Schleif F-M, Hammer B, Gonzalez Monroy J, Gonzalez Jimenez J, Blanco-Claraco J-L, Biehl M, Petkov N (2016)
PATTERN ANALYSIS AND APPLICATIONS 19(1): 207-220. -
2016 | Konferenzbeitrag | PUB-ID: 2909368 PUB
-
2016 | Konferenzbeitrag | PUB-ID: 2905195Online Metric Learning for an Adaptation to Confidence DriftPUB
Fischer L, Hammer B, Wersing H (2016)
In: Proceedings of International Joint Conference on Neural Networks (IJCNN). Vancouver: IEEE: 748-755. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178
Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode ShiftPUB | PDF | DOI | Download (ext.)
Prahm C, Paaßen B, Schulz A, Hammer B, Aszmann O (2016)
In: Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016). Ibáñez J, Gonzáles-Vargas J, Azorín JM, Akay M, Pons JL (Eds); Springer: 153--157. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907622
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept DriftPUB | PDF | DOI
Losing V, Hammer B, Wersing H (2016)
In: 2016 IEEE 16th International Conference on Data Mining (ICDM). Piscataway, NJ: IEEE: 291-300. -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2910957Prototype-based models in machine learningPUB | DOI | WoS | PubMed | Europe PMC
Biehl M, Hammer B, Villmann T (2016)
Wiley Interdisciplinary Reviews: Cognitive Science 7(2): 92-111. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909366Self-Adjusting Reject Options in Prototype Based ClassificationPUB | DOI
Villmann T, Kaden M, Bohnsack A, Villmann JM, Drogies T, Saralajew S, Hammer B (2016)
In: Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016. Merényi E, Mendenhall MJ, O'Driscoll P (Eds); Advances in Intelligent Systems and Computing, 428. Cham: Springer International Publishing: 269-279. -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905193Optimal local rejection for classifiersPUB | DOI | WoS
Fischer L, Hammer B, Wersing H (2016)
Neurocomputing 214: 445-457. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982098Combining offline and online classifiers for life-long learningPUB | DOI
Fischer L, Hammer B, Wersing H (2015)
In: 2015 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752948
Learning Feedback in Intelligent Tutoring Systems. Report of the FIT Project, Conducted from December 2011 to March 2015PUB | PDF | DOI | Download (ext.) | WoS
Gross S, Mokbel B, Hammer B, Pinkwart N (2015)
KI - Künstliche Intelligenz 29(4): 413-418. -
2015 | Preprint | Veröffentlicht | PUB-ID: 2901613Automated Contamination Detection in Single-Cell SequencingPUB
Lux M, Hammer B, Sczyrba A (2015)
bioRxiv. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671047
Parametric nonlinear dimensionality reduction using kernel t-SNEPUB | PDF | DOI | WoS
Gisbrecht A, Schulz A, Hammer B (2015)
Neurocomputing 147: 71-82. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909226Data visualization by nonlinear dimensionality reductionPUB | DOI | WoS
Gisbrecht A, Hammer B (2015)
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5(2): 51-73. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759763Sparse conformal prediction for dissimilarity dataPUB | DOI | WoS
Schleif F-M, Zhu X, Hammer B (2015)
Annals of Mathematics and Artificial Intelligence 74(1-2): 95-116. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783165Efficient Metric Learning for the Analysis of Motion DataPUB | DOI | Download (ext.) | arXiv
Hosseini B, Hammer B (2015)
In: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA). Piscataway, NJ: IEEE. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777
Inferring Feature Relevances From Metric LearningPUB | PDF | DOI
Schulz A, Mokbel B, Biehl M, Hammer B (2015)
In: 2015 IEEE Symposium Series on Computational Intelligence. Piscataway, NJ: IEEE. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156
Adaptive structure metrics for automated feedback provision in Java programmingPUB | PDF
Paaßen B, Mokbel B, Hammer B (2015)
In: Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); 307-312. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031
Metric learning for sequences in relational LVQPUB | PDF | DOI | Download (ext.) | WoS
Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)
Neurocomputing 169(SI): 306-322. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2766822
Using Discriminative Dimensionality Reduction to Visualize ClassifiersPUB | PDF | DOI | WoS
Schulz A, Gisbrecht A, Hammer B (2015)
Neural Processing Letters 42(1): 27-54. -
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303
Visualization of Regression Models Using Discriminative Dimensionality ReductionPUB | PDF | DOI
Schulz A, Hammer B (2015)
In: Computer Analysis of Images and Patterns. Lecture Notes in Computer Science, 9257. Cham: Springer Science + Business Media: 437-449. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325
Unsupervised Dimensionality Reduction for Transfer LearningPUB | PDF
Blöbaum P, Schulz A, Hammer B (2015)
In: Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco: 507-512. -
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900319Discriminative dimensionality reduction for regression problems using the Fisher metricPUB | DOI
Schulz A, Hammer B (2015)
In: 2015 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical & Electronics Engineers (IEEE): 1-8. -
2015 | Preprint | PUB-ID: 2774656Optimum Reject Options for Prototype-based ClassificationPUB | arXiv
Fischer L, Hammer B, Wersing H (2015) . -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774707Certainty-based Prototype Insertion/Deletion for Classification with Metric AdaptationPUB
Fischer L, Hammer B, Wersing H (2015)
In: ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 7-12. -
2015 | Konferenzbeitrag | PUB-ID: 2774721Combining Offline and Online Classifiers for Life-long LearningPUB
Fischer L, Hammer B, Wersing H (2015)
In: IJCNN, International Joint Conference on Neural Networks. 2808-2815. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772407Median variants of learning vector quantization for learning of dissimilarity dataPUB | DOI | WoS
Nebel D, Hammer B, Frohberg K, Villmann T (2015)
Neurocomputing 169(SI): 295-305. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring SystemsPUB | Download (ext.)
Paaßen B, Mokbel B, Hammer B (2015)
In: Proceedings of the 8th International Conference on Educational Data Mining. Santos OC, Boticario JG, Romero C, Pechenizkiy M, Merceron A, Mitros P, Luna JM, Mihaescu C, Moreno P, Hershkovitz A, Ventura S, et al. (Eds); International Educational Datamining Society: 632-632. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955
Autonomous Learning of RepresentationsPUB | PDF | DOI | Download (ext.) | WoS
Walter O, Häb-Umbach R, Mokbel B, Paaßen B, Hammer B (2015)
KI - Künstliche Intelligenz 29(4): 339–351. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2695196Efficient approximations of robust soft learning vector quantization for non-vectorial dataPUB | DOI | WoS
Hofmann D, Gisbrecht A, Hammer B (2015)
Neurocomputing 147: 96-106. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772413Efficient rejection strategies for prototype-based classificationPUB | DOI | WoS
Fischer L, Hammer B, Wersing H (2015)
Neurocomputing 169(SI): 334-342. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2901612Automatic discovery of metagenomic structurePUB | DOI
Lux M, Sczyrba A, Hammer B (2015)
In: 2015 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical & Electronics Engineers (IEEE). -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900318Metric Learning in Dimensionality ReductionPUB | DOI
Schulz A, Hammer B (2015)
In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. Scitepress: 232-239. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2776021
Interactive Online Learning for Obstacle Classification on a Mobile RobotPUB | PDF | DOI
Losing V, Hammer B, Wersing H (2015)
Presented at the International Joint Conference on Neural Networks, Killarney, Ireland. -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910954Stationarity of Matrix Relevance LVQPUB | DOI
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T (2015)
In: 2015 International Joint Conference on Neural Networks (IJCNN). IEEE. -
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982100How to Select an Example? A Comparison of Selection Strategies in Example-Based LearningPUB | DOI
Gross S, Mokbel B, Hammer B, Pinkwart N (2014)
In: Intelligent Tutoring Systems. Trausan-Matu S, Boyer KE, Crosby M, Panourgia K (Eds); Lecture Notes in Computer Science. Cham: Springer International Publishing: 340-347. -
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982099Distance Measures for Prototype Based ClassificationPUB | DOI
Biehl M, Hammer B, Villmann T (2014)
In: Brain-Inspired Computing. International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers. Grandinetti L, Lippert T, Petkov N (Eds); Lecture Notes in Computer Science. Cham: Springer International Publishing: 100-116. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320
Valid interpretation of feature relevance for linear data mappingsPUB | PDF | DOI
Frenay B, Hofmann D, Schulz A, Biehl M, Hammer B (2014)
In: 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). Piscataway, NJ: Institute of Electrical & Electronics Engineers (IEEE): 149-156. -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214Learning interpretable kernelized prototype-based modelsPUB | DOI | Download (ext.) | WoS
Hofmann D, Schleif F-M, Paaßen B, Hammer B (2014)
Neurocomputing 141: 84-96. -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2672504Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity DataPUB | DOI | WoS
Zhu X, Schleif F-M, Hammer B (2014)
Pattern Recognition Letters 49: 138-145. -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730Learning vector quantization for (dis-)similaritiesPUB | DOI | WoS
Hammer B, Hofmann D, Schleif F-M, Zhu X (2014)
NeuroComputing 131: 43-51. -
2014 | Konferenzbeitrag | PUB-ID: 2909360How to Select an Example? A Comparison of Selection Strategies in Example-Based LearningPUB
Gross S, Mokbel B, Hammer B, Pinkwart N (2014)
In: Intelligent Tutoring Systems. Trausan-Matu S, Elizabeth Boyer K, E. Crosby M, Panourgia K (Eds); Lecture Notes in Computer Science, 8474. Springer: 340-347. -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2694967Computational Intelligence in Big DataPUB | DOI | WoS
Jin Y, Hammer B (2014)
IEEE Computational Intelligence Magazine 9(3): 12-13. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774643Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic ApproachesPUB | DOI
Fischer L, Nebel D, Villmann T, Hammer B, Wersing H (2014)
In: Advances in Self-Organizing Maps and Learning Vector Quantization. Villmann T, Schleif F-M, Kaden M, Lange M (Eds); Advances in Intelligent Systems and Computing, 295. Cham: Springer International Publishing: 109-118. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548Rejection strategies for learning vector quantizationPUB
Fischer L, Hammer B, Wersing H (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 41-46. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774498Local Rejection Strategies for Learning Vector QuantizationPUB | DOI
Fischer L, Hammer B, Wersing H (2014)
In: Artificial Neural Networks and Machine Learning – ICANN 2014. Wermter S, Weber C, Duch W, Honkela T, Koprinkova-Hristova P, Magg S, Palm G, Villa AEP (Eds); Lecture Notes in Computer Science, 8681. Cham: Springer International Publishing: 563-570. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554
Adaptive distance measures for sequential dataPUB | PDF
Mokbel B, Paaßen B, Hammer B (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 265-270. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673559Learning and modeling big dataPUB
Hammer B, He H, Martinetz T (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 343-352. -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058Example-based feedback provision using structured solution spacesPUB | DOI | Download (ext.)
Gross S, Mokbel B, Paaßen B, Hammer B, Pinkwart N (2014)
International Journal of Learning Technology 9(3): 248-280. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067
Efficient Adaptation of Structure Metrics in Prototype-Based ClassificationPUB | PDF | DOI | Download (ext.)
Mokbel B, Paaßen B, Hammer B (2014)
In: Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Wermter S, Weber C, Duch W, Honkela T, Koprinkova-Hristova P, Magg S, Palm G, Villa A (Eds); Lecture Notes in Computer Science, 8681. Springer: 571-578. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673545Supervised Generative Models for Learning Dissimilarity DataPUB
Nebel D, Hammer B, Villmann T (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 35-40. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557Relevance learning for dimensionality reductionPUB
Schulz A, Gisbrecht A, Hammer B (2014)
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 165-170. -
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324Discriminative Dimensionality Reduction for the Visualization of ClassifiersPUB | DOI
Gisbrecht A, Schulz A, Hammer B (2014)
In: Pattern Recognition Applications and Methods. Advances in Intelligent Systems and Computing, 318. Cham: Springer Science + Business Media: 39-56. -
2014 | Konferenzbeitrag | PUB-ID: 2909361Generative versus Discriminative Prototype Based ClassificationPUB | DOI
Hammer B, Nebel D, Riedel M, Villmann T (2014)
In: Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, {WSOM} 2014, Mittweida, Germany, July, 2-4, 2014. Cham: Springer International Publishing: 123--132. -
2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982105Sparse Prototype Representation by Core SetsPUB | DOI
Schleif F-M, Zhu X, Hammer B (2013)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2013. Yin H, Tang K, Gao Y, Klawonn F, Lee M, Weise T, Li B, Yao X (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 302-309. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982104Regularization and improved interpretation of linear data mappings and adaptive distance measuresPUB | DOI
Strickert M, Hammer B, Villmann T, Biehl M (2013)
In: 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). IEEE: 10-17. -
2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982102Efficient Approximations of Kernel Robust Soft LVQPUB | DOI
Hofmann D, Gisbrecht A, Hammer B (2013)
In: Advances in Self-Organizing Maps. Estévez PA, Príncipe JC, Zegers P (Eds); Advances in Intelligent Systems and Computing. Berlin, Heidelberg: Springer Berlin Heidelberg: 183-192. -
2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982101A Median Variant of Generalized Learning Vector QuantizationPUB | DOI
Nebel D, Hammer B, Villmann T (2013)
In: Neural Information Processing. Lee M, Hirose A, Hou Z-G, Kil RM (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 19-26. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2623500Nonlinear dimensionality reduction for cluster identification in metagenomic samplesPUB | DOI
Gisbrecht A, Hammer B, Mokbel B, Sczyrba A (2013)
In: 17th International Conference on Information Visualisation IV 2013. Banissi E (Ed); Piscataway, NJ: IEEE: 174-179. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622454Applications of discriminative dimensionality reductionPUB | DOI
Hammer B, Gisbrecht A, Schulz A (2013)
In: Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods. SCITEPRESS: 33-41. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185Domain-Independent Proximity Measures in Intelligent Tutoring SystemsPUB | Download (ext.)
Mokbel B, Gross S, Paaßen B, Pinkwart N, Hammer B (2013)
In: Proceedings of the 6th International Conference on Educational Data Mining (EDM). D'Mello SK, Calvo RA, Olney A (Eds); 334-335. -
2013 | Konferenzbeitrag | PUB-ID: 2909358Regularization and Improved Interpretation of Linear Data Mappings and Adaptive Distance MeasuresPUB
Strickert M, Hammer B, Villmann T, Biehl M (2013)
In: IEEE SSCI CIDM 2013. IEEE Computational Intelligence Society: 10-17. -
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612736Visualizing the quality of dimensionality reductionPUB | DOI | WoS
Mokbel B, Lueks W, Gisbrecht A, Hammer B (2013)
Neurocomputing 112: 109-123. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456Using Nonlinear Dimensionality Reduction to Visualize ClassifiersPUB | DOI | WoS
Schulz A, Gisbrecht A, Hammer B (2013)
In: Advances in computational intelligence. Proceedings. Vol 1. Rojas I, Joya G, Gabestany J (Eds); Lecture Notes in Computer Science, 7902. Springer: 59-68. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2670686Towards a Domain-Independent ITS Middleware ArchitecturePUB | DOI | WoS
Gross S, Mokbel B, Hammer B, Pinkwart N (2013)
In: 2013 IEEE 13th International Conference on Advanced Learning Technologies. IEEE: 408-409. -
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2607146Preface: Intelligent interactive data visualizationPUB | DOI | WoS
Hammer B, Keim D, Lawrence N, Lebanon G (2013)
Data Mining and Knowledge Discovery 27(1): 1-3. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467Classifier inspection based on different discriminative dimensionality reductionsPUB
Schulz A, Gisbrecht A, Hammer B (2013)
In: Workshop NC^2 2013. TR Machine Learning Reports: 77-86. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625194Visualizing Dependencies of Spectral Features using Mutual InformationPUB
Gisbrecht A, Miche Y, Hammer B, Lendasse A (2013)
In: ESANN, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 573-578. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625199 PUB
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202Sparse prototype representation by core setsPUB
Schleif F-M, Zhu X, Hammer B (2013)
In: IDEAL 2013. Hujun Yin et.al (Ed); . -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625207Towards Providing Feedback to Students in Absence of Formalized Domain ModelsPUB
Gross S, Mokbel B, Hammer B, Pinkwart N (2013)
In: AIED. 644-648. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615717Secure Semi-supervised Vector Quantization for Dissimilarity DataPUB | DOI
Zhu X, Schleif F-M, Hammer B (2013)
In: IWANN (1). Rojas I, Joya G, Cabestany J (Eds); Lecture Notes in Computer Science, 7902. Springer: 347-356. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701Semi-Supervised Vector Quantization for proximity dataPUB
Zhu X, Schleif F-M, Hammer B (2013)
In: Proceedings of ESANN 2013. 89-94. -
2013 | Konferenzbeitrag | PUB-ID: 2909359A Median Variant of Generalized Learning Vector QuantizationPUB
Nebel D, Hammer B, Villmann T (2013)
In: ICONIP (2). 19-26. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982108Linear basis-function t-SNE for fast nonlinear dimensionality reductionPUB | DOI
Gisbrecht A, Mokbel B, Hammer B (2012)
In: The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8. -
2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982106Discriminative Dimensionality Reduction MappingsPUB | DOI
Gisbrecht A, Hofmann D, Hammer B (2012)
In: Advances in Intelligent Data Analysis XI. Hollmén J, Klawonn F, Tucker A (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 126-138. -
2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982107Kernel Robust Soft Learning Vector QuantizationPUB | DOI
Hofmann D, Hammer B (2012)
In: Artificial Neural Networks in Pattern Recognition. Mana N, Schwenker F, Trentin E (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 14-23. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232Linear Time Relational Prototype Based LearningPUB | DOI | WoS | PubMed | Europe PMC
Gisbrecht A, Mokbel B, Schleif F-M, Zhu X, Hammer B (2012)
International Journal of Neural Systems 22(05): 1250021. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449How to visualize a classifier?PUB
Schulz A, Gisbrecht A, Bunte K, Hammer B (2012)
In: Proceedings of the Workshop - New Challenges in Neural Computation 2012. Machine Learning Reports: 73-83. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625260Out-of-sample kernel extensions for nonparametric dimensionality reductionPUB
Gisbrecht A, Lueks W, Mokbel B, Hammer B (2012)
In: ESANN 2012. 531-536. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625265Relevance learning for time series inspectionPUB
Gisbrecht A, Sovilj D, Hammer B, Lendasse A (2012)
In: ESANN 2012. Verleysen M (Ed); 489-494. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625225Special Issue on Neural Learning ParadigmsPUB | DOI
Hammer B (2012)
Künstliche Intelligenz :KI 26(4): 329-332. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509858Functional relevance learning in generalized learning vector quantizationPUB | DOI | WoS
Kaestner M, Hammer B, Biehl M, Villmann T (2012)
Neurocomputing 90: 85-95. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2671172Discriminative probabilistic prototype based models in kernel spacePUB
Hofmann D, Gisbrecht A, Hammer B (2012)
In: Workshop NC^2 2012. TR Machine Learning Reports. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536426
How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?PUB | PDF | DOI
Mokbel B, Gross S, Lux M, Pinkwart N, Hammer B (2012)
In: Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings. Mana N, Schwenker F, Trentin E (Eds); Lecture Notes in Artificial Intelligence, 7477. Springer Berlin Heidelberg: 1-13. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625238Efficient Approximations of Kernel Robust Soft LVQPUB
Hofmann D, Gisbrecht A, Hammer B (2012)
In: WSOM. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625271Recent developments in clustering algorithmsPUB
Bouveyron C, Hammer B, Villmann T (2012)
In: ESANN 2012. Verleysen M (Ed); 447-458. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625276Linear Basis-Function t-SNE for Fast Nonlinear Dimensionality ReductionPUB
Gisbrecht A, Mokbel B, Hammer B (2012)
In: IJCNN. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622453How to Visualize Large Data Sets?PUB | DOI
Hammer B, Gisbrecht A, Schulz A (2012)
Presented at the Workshop Advances in Self-Organizing Maps (WSOM), Santiago, Chile. -
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625242Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution SpacesPUB
Gross S, Mokbel B, Hammer B, Pinkwart N (2012)
In: DeLFI. 27-38. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625247Discriminative Dimensionality Reduction MappingsPUB
Gisbrecht A, Hofmann D, Hammer B (2012)
In: Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings. Hollmén J, Klawonn F, Tucker A (Eds); Lecture Notes in Computer Science, 7619. Springer: 126-138. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625254Kernel Robust Soft Learning Vector QuantizationPUB
Hofmann D, Hammer B (2012)
In: Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings. Mana N, Schwenker F, Trentin E (Eds); Lecture Notes in Computer Science, 7477. Springer: 14-23. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615750Fast approximated relational and kernel clusteringPUB
Schleif F-M, Zhu X, Gisbrecht A, Hammer B (2012)
In: Proceedings of ICPR 2012. IEEE: 1229-1232. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671281Special issue on new challenges in neural computation 2012PUB | DOI | WoS
Hammer B, Villmann T (2012)
Neurocomputing 131: 1. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536437
Cluster based feedback provision strategies in intelligent tutoring systemsPUB | PDF | DOI | Download (ext.)
Gross S, Zhu X, Hammer B, Pinkwart N (2012)
In: Proceedings of the 11th international conference on Intelligent Tutoring Systems. Berlin, Heidelberg: Springer-Verlag: 699-700. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536444
Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution SpacesPUB | PDF
Gross S, Mokbel B, Hammer B, Pinkwart N (2012)
In: DeLFI 2012: Die 10. e-Learning Fachtagung Informatik. Desel J, Haake JM, Spannagel C, Gesellschaft für Informatik (Eds); GI-Edition : Proceedings, 207. Hagen, Germany: Köllen: 27-38. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615756Soft Competitive Learning for large data setsPUB | DOI
Schleif F-M, Zhu X, Hammer B (2012)
In: Proceedings of MCSD 2012. Berlin, Heidelberg: Springer Berlin Heidelberg: 141-151. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877Learning Relevant Time Points for Time-Series Data in the Life SciencesPUB | DOI
Schleif F-M, Mokbel B, Gisbrecht A, Theunissen L, Dürr V, Hammer B (2012)
In: ICANN (2). Lecture Notes in Computer Science, 7553. Berlin, Heidelberg: Springer Berlin Heidelberg: 531-539. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2489405Limited Rank Matrix Learning, discriminative dimension reduction and visualizationPUB | DOI | WoS | PubMed | Europe PMC
Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2012)
Neural Networks 26: 159-173. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2474292A General Framework for Dimensionality-Reducing Data Visualization MappingPUB | DOI | WoS
Bunte K, Biehl M, Hammer B (2012)
Neural Computation 24(3): 771-804. -
2012 | Konferenzbeitrag | PUB-ID: 2909356Visualizing the quality of dimensionality reductionPUB
Mokbel B, Lueks W, Gisbrecht A, Biehl M, Hammer B (2012)
In: ESANN 2012. Verleysen M (Ed); 179--184. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534888A Conformal Classifier for Dissimilarity DataPUB | DOI
Schleif F-M, Zhu X, Hammer B (2012)
In: AIAI (2). Berlin, Heidelberg: Springer Berlin Heidelberg: 234-243. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534910Patch Processing for Relational Learning Vector QuantizationPUB | DOI
Zhu X, Schleif F-M, Hammer B (2012)
In: ISNN (1). Berlin, Heidelberg: Springer Berlin Heidelberg: 55-63. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534868White Box Classification of Dissimilarity DataPUB | DOI | WoS
Hammer B, Mokbel B, Schleif F-M, Zhu X (2012)
In: HAIS (1). Berlin, Heidelberg: Springer Berlin Heidelberg: 309-321. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905Relevance learning for short high-dimensional time series in the life sciencesPUB | DOI
Schleif F-M, Gisbrecht A, Hammer B (2012)
In: IJCNN. IEEE Computational Intelligence Society, Institute of Electrical and Electronics Engineers (Eds); Piscataway, NJ: IEEE: 1-8. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852Approximation techniques for clustering dissimilarity dataPUB | DOI | WoS
Zhu X, Gisbrecht A, Schleif F-M, Hammer B (2012)
Neurocomputing 90: 72-84. -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113Topographic Mapping of Dissimilarity DataPUB | DOI
Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X (2011)
In: Advances in Self-Organizing Maps. Laaksonen J, Honkela T (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 1-15. -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982112Relational Extensions of Learning Vector QuantizationPUB | DOI
Hammer B, Schleif F-M, Zhu X (2011)
In: Neural Information Processing. Lu B-L, Zhang L, Kwok J (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 481-489. -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982111Prototype-Based Classification of Dissimilarity DataPUB | DOI
Hammer B, Mokbel B, Schleif F-M, Zhu X (2011)
In: Advances in Intelligent Data Analysis X. Gama J, Bradley E, Hollmén J (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 185-197. -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982110Accelerating Kernel Neural GasPUB | DOI
Schleif F-M, Gisbrecht A, Hammer B (2011)
In: Artificial Neural Networks and Machine Learning – ICANN 2011. Honkela T, Duch W, Girolami M, Kaski S (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 150-158. -
2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982109A General Framework for Dimensionality Reduction for Large Data SetsPUB | DOI
Hammer B, Biehl M, Bunte K, Mokbel B (2011)
In: Advances in Self-Organizing Maps. Laaksonen J, Honkela T (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 277-287. -
2011 | Preprint | Veröffentlicht | PUB-ID: 2534994Supervised learning of short and high-dimensional temporal sequences for life science measurementsPUB | arXiv
Schleif F-M, Gisbrecht A, Hammer B (2011) . -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480Linear time heuristics for topographic mapping of dissimilarity dataPUB | DOI
Gisbrecht A, Schleif F-M, Zhu X, Hammer B (2011)
In: Intelligent Data Engineering and Automated Learning - IDEAL 2011: IDEAL 2011, 12th international conference, Norwich, UK, September 7 - 9, 2011 ; proceedings. Lecture Notes in Computer Science, 6936. Berlin, Heidelberg: Springer: 25-33. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485Topographic Mapping of Dissimilarity DataPUB
Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X (2011)
In: WSOM'11. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492Accelerating Kernel Neural GasPUB
Schleif F-M, Gisbrecht A, Hammer B (2011)
In: ICANN'2011. Kaski S, Honkela T, Gitolami M, Dutch W (Eds); . -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276500Generalized Functional Relevance Learning Vector QuantizationPUB
Kaestner M, Hammer B, Biehl M, Villmann T (2011)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D side: pp. 93-98. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276512A general framework for dimensionality reduction for large data setsPUB
Hammer B, Biehl M, Bunte K, Mokbel B (2011)
In: WSOM'11. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276517Supervised dimension reduction mappingsPUB
Bunte K, Biehl M, Hammer B (2011)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D side: pp. 281-286. -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2276531Relational Generative Topographic MappingPUB | DOI | WoS
Gisbrecht A, Mokbel B, Hammer B (2011)
Neurocomputing 74(9): 1359-1371. -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2276506Neighbor embedding XOM for dimension reduction and visualizationPUB | DOI | WoS
Bunte K, Hammer B, Villmann T, Biehl M, Wismueller A (2011)
Neurocomputing 74(9): 1340-1350. -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2309980Efficient Kernelized Prototype-based ClassificationPUB | DOI | WoS | PubMed | Europe PMC
Schleif F-M, Villmann T, Hammer B, Schneider P (2011)
International Journal of Neural Systems 21(06): 443-457. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522Accelerating dissimilarity clustering for biomedical data analysisPUB
Gisbrecht A, Hammer B, Schleif F-M, Zhu X (2011)
In: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. pp.154-161. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276527Dimensionality Reduction MappingsPUB | DOI
Bunte K, Biehl M, Hammer B (2011)
In: IEEE Symposium on Computational Intelligence and Data Mining. IEEE Computational Intelligence Society (Ed); Piscataway, NJ: IEEE: pp. 349-356. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2091665Patch Affinity PropagationPUB
Zhu X, Hammer B (2011)
Presented at the 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium. -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993288Local matrix adaptation in topographic neural mapsPUB | DOI | WoS
Arnonkijpanich B, Hasenfuss A, Hammer B (2011)
Neurocomputing 74(4): 522-539. -
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2276540Relevance learning in generative topographic mappingPUB | DOI | WoS
Gisbrecht A, Hammer B (2011)
Neurocomputing 74(9): 1351-1358. -
2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982117Visualizing Dissimilarity Data Using Generative Topographic MappingPUB | DOI
Gisbrecht A, Mokbel B, Hasenfuss A, Hammer B (2010)
In: KI 2010: Advances in Artificial Intelligence. Dillmann R, Beyerer J, Hanebeck UD, Schultz T (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 227-237. -
2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982116The Mathematics of Divergence Based Online Learning in Vector QuantizationPUB | DOI
Villmann T, Haase S, Schleif F-M, Hammer B, Biehl M (2010)
In: Artificial Neural Networks in Pattern Recognition. Schwenker F, El Gayar N (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 108-119. -
2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982115Global Coordination Based on Matrix Neural Gas for Dynamic Texture SynthesisPUB | DOI
Arnonkijpanich B, Hammer B (2010)
In: Artificial Neural Networks in Pattern Recognition. 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010. Proceedings. Schwenker F, El Gayar N (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 84-95. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982114Automated generation of classifier based monitoring functions and its application to automotive steering controlPUB | DOI
Haupt A, Wolf F, Bohn C, Hammer B (2010)
IFAC Proceedings Volumes 43(7): 721-726. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276543The Nystrom approximation for relational generative topographic mappingsPUB
Gisbrecht A, Mokbel B, Hammer B (2010)
In: NIPS workshop on challenges of Data Visualization. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994127Divergence Based Online Learning in Vector QuantizationPUB | DOI
Villmann T, Haase S, Schleif F-M, Hammer B (2010)
In: Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, 6113. Rutkowski L, Scherer R, Tadeusiewicz R, Zadeh L, Zurada J (Eds); Berlin, Heidelberg: Springer: 479-486. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1796018Local matrix learning in clustering and applications for manifold visualizationPUB | DOI | WoS | PubMed | Europe PMC
Arnonkijpanich B, Hasenfuss A, Hammer B (2010)
Neural Networks 23(4): 476-486. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1796195Hyperparameter learning in probabilistic prototype-based modelsPUB | DOI | WoS
Schneider P, Biehl M, Hammer B (2010)
Neurocomputing 73(7-9): 1117-1124. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993273Global Coordination based on Matrix Neural Gas for Dynamic Texture SynthesisPUB
Arnonkijpanich B, Hammer B (2010)
In: ANNPR'2010. Lecture Notes in Artificial Intelligence, 5998. El Gayar N, Schwenker F (Eds); Springer: 84-95. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993367Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and VisualizationPUB
Bunte K, Hammer B, Villmann T, Biehl M, Wismüller A (2010)
In: ESANN'10. Proceedings of the 18th European Symposium on Artificial Neural Networks. Verleysen M (Ed); Evere: D side: 87-92. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1929672Window-Based Example Selection in Learning Vector QuantizationPUB | DOI | WoS | PubMed | Europe PMC
Witoelar AW, Ghosh A, de Vries JJG, Hammer B, Biehl M (2010)
Neural Computing 22(11): 2924-2961. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1796189Adaptive local dissimilarity measures for discriminative dimension reduction of labeled dataPUB | DOI | WoS
Bunte K, Hammer B, Wismueller A, Biehl M (2010)
Neurocomputing 73(7-9): 1074-1092. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1794373Topographic Mapping of Large Dissimilarity Data SetsPUB | DOI | WoS | PubMed | Europe PMC
Hammer B, Hasenfuss A (2010)
Neural Computation 22(9): 2229-2284. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1795962Regularization in Matrix Relevance LearningPUB | DOI | WoS | PubMed | Europe PMC
Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M (2010)
IEEE Transactions on Neural Networks 21(5): 831-840. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993978Generalized derivative based Kernelized learning vector quantizationPUB | DOI
Schleif F-M, Villmann T, Hammer B, Schneider P, Biehl M (2010)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2010 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings. Fyfe C, Tino P, Charles D, Garcia-Osorio C, Yin H (Eds); Berlin u.a.: Springer: 21-28. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994034Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprintsPUB | DOI | WoS
Simmuteit S, Schleif F-M, Villmann T, Hammer B (2010)
Knowledge and Information Systems 25(2): 327-343. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993435Median fuzzy-c-means for clustering dissimilarity dataPUB | DOI | WoS
Geweniger T, Zülke D, Hammer B, Villmann T (2010)
Neurocomputing 73(7-9): 1109-1116. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993466Perspectives and challenges for recurrent neural network trainingPUB | DOI | WoS
Gori M, Hammer B, Hitzler P, Palm G (2010)
Logic Journal of the IGPL 18(5): 617-619. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993536Clustering very large dissimilarity data setsPUB | DOI
Hammer B, Hasenfuss A (2010)
In: Artificial Neural Networks in Pattern Recognition (ANNPR 2010). Proceedings. Schwenker F, El Gayar N (Eds); Lecture Notes in Artificial Intelligence, 5998. Berlin: Springer: 259-273. -
2010 | Konferenzband | Veröffentlicht | PUB-ID: 2276535Learning paradigms in dynamic environments, 25.07.10-30.07.20PUB
Hammer B, Hitzler P, Maass W, Toussaint M (Eds) (2010) ; 10302.
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276547On the effect of clustering on quality assessment measures for dimensionality reductionPUB
Mokbel B, Gisbrecht A, Hammer B (2010)
In: NIPS workshop on Challenges of Data Visualization. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993448Relevance learning in generative topographic mapsPUB
Gisbrecht A, Hammer B (2010)
In: ESANN'10. Verleysen M (Ed); Evere: D side: 387-392. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993452Relational Generative Topographic MapPUB
Gisbrecht A, Mokbel B, Hammer B (2010)
In: ESANN'10. Verleysen M (Ed); Evere: D side: 277-282. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993457Visualizing Dissimilarity Data using generative topographic mappingPUB
Gisbrecht A, Mokbel B, Hasenfuss A, Hammer B (2010)
In: KI'2010. Dillmann R, Beyerer J, Hanebeck UD, Schulz T (Eds); 227-237. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994138The Mathematics of Divergence Based Online Learning in Vector QuanitzationPUB
Villmann T, Haase S, Schleif F-M, Hammer B, Biehl M (2010)
In: ANNPR'2010. El Gayar N, Schwenker F (Eds); Berlin, Heidelberg: Springer: 108-119. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994227Sparse representation of dataPUB
Villmann T, Schleif F-M, Hammer B (2010)
In: ESANN'10. Verleysen M (Ed); D side: 225-234. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982118Functional Principal Component Learning Using Oja’s Method and Sobolev NormsPUB | DOI
Villmann T, Hammer B (2009)
In: Advances in Self-Organizing Maps. 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009. Proceedings. Príncipe JC, Miikkulainen R (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 325-333. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993679Recent advances in efficient learning of recurrent networksPUB
Hammer B, Schrauwen B, Steil JJ (2009)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brugge: d-facto: 213-226. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993984Cancer Informatics by Prototype-networks in Mass SpectrometryPUB | DOI | WoS | PubMed | Europe PMC
Schleif F-M, Villmann T, Kostrzewa M, Hammer B, Gammerman A (2009)
Artificial Intelligence in Medicine 45(2-3): 215-228. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994160Some theoretical aspects of the neural gas vector quantizerPUB | DOI
Villmann T, Hammer B, Biehl M (2009)
In: Similarity Based Clustering. Biehl M, Hammer B, Verleysen M, Villmann T (Eds); Lecture Notes Artificial Intelligence, 5400. Berlin, Heidelberg: Springer: 23-34. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994305Equilibrium properties of offline LVQPUB
Witolaer A, Biehl M, Hammer B (2009)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); d-side publications: 535-540. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993326Metric learning for prototype based classificationPUB | DOI
Biehl M, Hammer B, Schneider P, Villmann T (2009)
In: Innovations in Neural Information – Paradigms and Applications. Bianchini M, Maggini M, Scarselli F (Eds); Studies in Computational Intelligence, 247. Berlin: Springer: 183-199. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993422Fuzzy variant of affinity propagation in comparison to median fuzzy c-meansPUB | DOI
Geweniger T, Zühlke D, Hammer B, Villmann T (2009)
In: Advances in Self-Organizing Maps. Principe JC, Miikkulainen R (Eds); 72-79. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993994Hyperparameter Learning in robust soft LVQPUB
Schneider P, Biehl M, Hammer B (2009)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); d-side publications: 517-522. -
2009 | Konferenzband | Veröffentlicht | PUB-ID: 1994310Similarity-based learning on structuresPUB
Biehl M, Hammer B, Hochreiter S, Kremer SC, Villmann T (Eds) (2009) ; 9081.
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994008Distance learning in discriminative vector quantizationPUB | DOI | WoS | PubMed | Europe PMC
Schneider P, Biehl M, Hammer B (2009)
Neural Computation 21(10): 2942-2969. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993269Patch Clustering for Massive Data SetsPUB | DOI | WoS
Alex N, Hasenfuss A, Hammer B (2009)
Neurocomputing 72(7-9): 1455-1469. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993555Median topographic maps for biological data setsPUB | DOI
Hammer B, Hasenfuss A, Rossi F (2009)
In: Similarity Based Clustering. Biehl M, Hammer B, Verleysen M, Villmann T (Eds); Lecture Notes Artificial Intelligence, 5400. Berlin, Heidelberg: Springer: 92-117. -
2009 | Report | Veröffentlicht | PUB-ID: 1993316Stationarity of Matrix Relevance Learning Vector QuantizationPUB
Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T (2009) Machine Learning Reports.
Leipzig: Universität Leipzig. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993361Nonlinear dimension reduction and visualization of labeled dataPUB | DOI
Bunte K, Hammer B, Biehl M (2009)
In: International Conference on Computer Analysis of Images and Patterns. Jiang X, Petkov N (Eds); Lecture Notes in Computer Science, 5702, 5702. Berlin: Springer: 1162-1170. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993429Median variant of fuzzy-c-meansPUB
Geweniger T, Zühlke D, Hammer B, Villmann T (2009)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); Evere: d-side publications: 523-528. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993835Graph-based Representation of Symbolic Musical DataPUB | DOI
Mokbel B, Hasenfuss A, Hammer B (2009)
In: Graph-Based Representation in Pattern Recognition (GbRPR 2009). Lecture Notes in Computer Science, 5534. Torsello A, Escolano F, Brun L, International Association for Pattern Recognition. Technical Committee on Graph Based Representations (Eds); Lecture notes in computer science, 5534. Berlin: Springer: 42-51. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994004Adaptive relevance matrices in learning vector quantizationPUB | DOI | WoS | PubMed | Europe PMC
Schneider P, Biehl M, Hammer B (2009)
Neural Computation 21(12): 3532-3561. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993356Nonlinear discriminative data visualizationPUB
Bunte K, Biehl M, Hammer B (2009)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); Evere: d-side publications: 65-70. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994152Functional principal component learning using Oja's method and Sobolev normsPUB
Villmann T, Hammer B (2009)
In: Advances in Self-Organizing Maps. Principe JC, Miikkulainen R (Eds); 325-333. -
2009 | Herausgeber*in Sammelwerk | Veröffentlicht | PUB-ID: 1994316Similarity Based ClusteringPUB | DOI
Biehl M, Hammer B, Verleysen M, Villmann T (Eds) (2009) Springer Lecture Notes Artificial Intelligence, 5400.
Berlin, Heidelberg: Springer. -
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982119Matrix Learning for Topographic Neural MapsPUB | DOI
Arnonkijpanich B, Hammer B, Hasenfuss A, Lursinsap C (2008)
In: Artificial Neural Networks - ICANN 2008. Kůrková V, Neruda R, Koutník J (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 572-582. -
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993939Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in BioinformaticsPUB
Schleif F-M, Villmann T, Hammer B (2008)
In: Encyclopedia of Artificial Intelligence. Dopico JR-n R-al, Dorado J, Pazos A (Eds); IGI Global: 1337-1342. -
2008 | Konferenzband | Veröffentlicht | PUB-ID: 1994329Recurrent Neural Networks - Models, Capacities, and ApplicationsPUB
de Raedt L, Hammer B, Hitzler P, Maass W (Eds) (2008) ; 8041.
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI). -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993282Matrix Learning for Topographic Neural MapsPUB
Arnonkijpanich B, Hammer B, Hasenfuss A, Lursinsap C (2008)
In: ICANN (1). Lecture Notes in Computer Science, 5163. Kurková V, Neruda R, Koutn'ık J (Eds); Berlin: Springer: 572-582. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993261Parallelizing single pass patch clusteringPUB
Alex N, Hammer B (2008)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); Evere, Belgium: d-side publications: 227-232. -
2008 | Report | Veröffentlicht | PUB-ID: 1993278Local Matrix Adaptation in Topographic Neural MapsPUB
Arnonkijpanich B, Hammer B, Hasenfuss A (2008) IfI-08-07.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2008 | Report | Veröffentlicht | PUB-ID: 1993379Discriminative Visualization by Limited Rank Matrix LearningPUB
Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2008) Machine Learning Reports.
Leipzig: Universität Leipzig. -
2008 | Report | Veröffentlicht | PUB-ID: 1994012Matrix Adaptation in Discriminative Vector QuantizationPUB
Schneider P, Biehl M, Hammer B (2008) IfI Technical Report Seriess.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994290Learning dynamics and robustness of vector quantization and neural gasPUB | DOI | WoS
Witoelar A, Biehl M, Ghosh A, Hammer B (2008)
Neurocomputing 71(7-9): 1210-1219. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993776Topographic processing of very large text datasetsPUB | DOI
Hasenfuss A, Boerger W, Hammer B (2008)
In: Smart Systems Engineering: Computational Intelligence in Architecting Systes (ANNIE 2008). Daglie CH (Ed); ASME Press: 525-532. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993788Single Pass Clustering and Classification of Large Dissimilarity DatasetsPUB
Hasenfuss A, Hammer B (2008)
In: Artificial Intelligence and Pattern Recognition. Prasad B, Sinha P, Ram A, Kerre EE (Eds); ISRST: 219-223. -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993966Prototype based Fuzzy Classification in Clinical ProteomicsPUB | DOI | WoS
Schleif F-M, Villmann T, Hammer B (2008)
International Journal of Approximate Reasoning 47(1): 4-16. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994072Discriminatory Data Mapping by Matrix-Based Supervised Learning MetricsPUB | DOI
Strickert M, Schneider P, Keilwagen J, Villmann T, Biehl M, Hammer B (2008)
In: Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop. Proceedings. Prevost L, Marinai S, Schwenker F (Eds); Lecture Notes in Computer Science, 5064. Berlin: Springer: 78-89. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994089Robust Centroid-Based Clustering using Derivatives of Pearson CorrelationPUB
Strickert M, Sreenivasulu N, Villmann T, Hammer B (2008)
In: BIOSIGNALS (2). Encarnação P, Veloso A (Eds); INSTICC - Institute for Systems and Technologies of Information, Control and Communication: 197-203. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994281Thinning Mesh AnimationsPUB
Winkler T, Drieseberg J, Hasenfuß A, Hammer B, Hormann K (2008)
In: Proceedings of Vision, Modeling, and Visualization 2008. Deussen O, Keim D, Saupe D (Eds); Konstanz, Germany: Aka: 149-158. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993804Patch Relational Neural Gas - Clustering of Huge Dissimilarity DatasetsPUB | DOI
Hasenfuss A, Hammer B, Rossi F (2008)
In: Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop. Proceedings. Lecture Notes in Computer Science, 5064. Prevost L, Marinai S, Schwenker F (Eds); Berlin: Springer: 1-12. -
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993900Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector QuantizersPUB | DOI
Schleif F-M, Hammer B, Villmann T (2008)
In: Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications. Van de Werff M, Delder A, Tollenaar R (Eds); Berlin: Springer: 141-167. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993798Magnification Control in Relational Neural GasPUB
Hasenfuss A, Hammer B, Geweniger T, Villmann T (2008)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels: d-side publications: 325-330. -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994253Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methodsPUB | DOI | WoS | PubMed | Europe PMC
Villmann T, Schleif F-M, Kostrzewa M, Walch A, Hammer B (2008)
Briefings in Bioinformatics 9(2): 129-143. -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2017617Fuzzy Classification Using Information Theoretic Learning Vector QuantizationPUB | DOI | WoS
Villmann T, Hammer B, Schleif F-M, Hermann W, Cottrell M (2008)
Neurocomputing 71(16-18): 3070-3076. -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001836Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexityPUB | DOI
Geweniger T, Schleif F-M, Hasenfuss A, Hammer B, Villmann T (2008)
In: ICONIP 2008. Köppen M, Kasabov NK, Coghill GG (Eds); Berlin, Heidelberg: Springer: 61-69. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993848
Accelerating Relational Clustering Algorithms With Sparse Prototype RepresentationPUB | PDF | DOI
Rossi F, Hasenfuß A, Hammer B (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994016
Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry dataPUB | PDF | DOI
Schneider P, Biehl M, Schleif F-M, Hammer B (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994267
Class imaging of hyperspectral satellite remote sensing data using FLSOMPUB | PDF | DOI
Villmann T, Schleif F-M, Merenyi E, Strickert M, Hammer B (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994295
Learning Vector Quantization: generalization ability and dynamics of competing prototypesPUB | PDF | DOI
Witoelar A, Biehl M, Hammer B (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993265
Single pass clustering for large data setsPUB | PDF | DOI
Alex N, Hammer B, Klawonn F (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993563
Topographic Processing of Relational DataPUB | PDF | DOI
Hammer B, Hasenfuß A, Rossi F, Strickert M (2007)
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993547Intuitive Clustering of Biological DataPUB | DOI
Hammer B, Hasenfuss A, Schleif F-M, Villmann T, Strickert M, Seiffert U (2007)
In: Proceedings of International Joint Conference on Neural Networks. IEEE: 1877-1882. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993782Relational topographic mapsPUB | DOI
Hasenfuss A, Hammer B (2007)
In: Advances in Intelligent Data Analysis VII, Proceedings of the 7th International Symposium on Intelligent Data Analysis. Berthold MR, Shawe-Taylor J, Lavrac N (Eds); , 4723. Berlin: Springer: 93-105. -
2007 | Report | Veröffentlicht | PUB-ID: 1993922Aggregation of multiple peak lists by use of an improved neural gas networkPUB
Schleif F-M, Hasenfuss A, Hammer B (2007)
Leipzig: Universität Leipzig. -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993297Dynamics and generalization ability of LVQ algorithmsPUB
Biehl M, Ghosh A, Hammer B (2007)
Journal of Machine Learning Research 8: 323-360. -
2007 | Report | Veröffentlicht | PUB-ID: 1993533Relational topographic MapsPUB
Hammer B, Hasenfuss A (2007) IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2007 | Report | Veröffentlicht | PUB-ID: 1993831Neural Gas for Surface ReconstructionPUB
Melato M, Hammer B, Hormann K (2007) IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993970Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-MapsPUB | DOI
Schleif F-M, Villmann T, Hammer B (2007)
In: Application of Fuzzy Sets Theory. Proceedings of the 7th International Workshop on Fuzzy Logic and Applications. LNAI 4578. Masulli F, Mitra S, Pasi G (Eds); Berlin, Heidelberg: Springer: 563-570. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993999Relevance matrices in LVQPUB
Schneider P, Biehl M, Hammer B (2007)
In: Proc. Of European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels, Belgium: d-side publications: 37-42. -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993911Margin based Active Learning for LVQ NetworksPUB | DOI | WoS
Schleif F-M, Hammer B, Villmann T (2007)
Neurocomputing 70(7-9): 1215-1224. -
2007 | Report | Veröffentlicht | PUB-ID: 1993334ICOLE-2007, German-Polish Workshop on Computational Biology, Scheduling and Machine Learning. Lessach, Austria, 27.05.-02.06.2007PUB
Blazewicz J, Ecker K, Hammer B (2007)
Clausthal-Zellerfeld: Clausthal University of Technology. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993746How to process uncertainty in machine learningPUB
Hammer B, Villmann T (2007)
In: Proc. Of European Symposium on Artificial Neural Networks (ESANN'2007). Verleysen M (Ed); Brussels, Belgium: d-side publications: 79-90. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993811Neural gas clustering for dissimilarity data with continuous prototypesPUB | DOI
Hasenfuss A, Hammer B, Schleif F-M, Villmann T (2007)
In: Computational and Ambient Intelligence – Proceedings of the 9th Work-conference on Artificial Neural Networks. LNCS 4507. Sandoval F, Prieto A, Cabestany J, Grana M (Eds); Berlin: Springer: 539-546. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994299On the dynamics of vector quantization and neural gasPUB
Witolaer A, Biehl M, Ghosh A, Hammer B (2007)
In: Proc. Of European Symposium on Artificial Neural Networks (ESANN'2007). Verleysen M (Ed); Brussels, Belgium: d-side publications: 127-132. -
2007 | Konferenzband | Veröffentlicht | PUB-ID: 1994321Similarity-based Clustering and its Application to Medicine and BiologyPUB
Biehl M, Hammer B, Verleysen M, Villmann T (Eds) (2007) ; 7131.
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI). -
2007 | Herausgeber*in Sammelwerk | Veröffentlicht | PUB-ID: 1994326Perspectives of Neural-Symbolic IntegrationPUB | DOI
Hammer B, Hitzler P (Eds) (2007) Studies in Computational Intelligence, 77.
Berlin: Springer. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993541Relational Neural GasPUB | DOI
Hammer B, Hasenfuss A (2007)
In: KI 2007: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, 4667. Hertzberg J, Beetz M, Englert R (Eds); Berlin: Springer: 190-204. -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993616Magnification control for batch neural gasPUB | DOI | WoS
Hammer B, Hasenfuss A, Villmann T (2007)
Neurocomputing 70(7-9): 1225-1234. -
2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993630Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational PropertiesPUB | DOI
Hammer B, Micheli A, Sperduti A (2007)
In: Perspectives of Neural-Symbolic Integration. Hammer B, Hitzler P (Eds); Studies in computational Intelligence, 77. Berlin: Springer: 67-94. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993820Neural gas clustering for sparse proximity dataPUB
Hasenfuss A, Hammer B, Schleif F-M, Villmann T (2007)
In: Proceedings of the 9th International Work-Conference on Artificial Neural Networks.LNCS 4507. Sandoval F, Prieto A, Cabestany J, Grana M (Eds); Berlin, Heidelberg, Germany: Springer: 539-546. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993907Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom SpectraPUB | DOI
Schleif F-M, Hammer B, Villmann T (2007)
In: Computational and Ambient Intelligence. Proceedings of the 9th International Work-Conference on Artificial Neural Networks. LNCS, 4507. Sandoval F, Prieto A, Cabestany J, Grana M (Eds); Berlin, Heidelberg: Springer: 1036-1044. -
2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994102Markovian Bias of Neural-based Architectures With Feedback ConnectionsPUB | DOI
Tino P, Hammer B, Boden M (2007)
In: Perspectives of Neural-Symbolic Integration. Hammer B, Hitzler P (Eds); Studies in computational Intelligence, 77. Berlin: Springer: 95-134. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994258Fuzzy Labeled Self Organizing Map for Clasification of SpectraPUB | DOI
Villmann T, Schleif F-M, Merenyi E, Hammer B (2007)
In: Computational and Ambient Intelligence. Proceedings of the 9th Work-conference on Artificial Neural Networks. LNCS, 4507. Sandoval F, Prieto A, Cabestany J, Grana M (Eds); Berlin: Springer: 556-563. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993578Supervised Batch Neural GasPUB | DOI
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)
In: Proceedings of Conference Artificial Neural Networks in Pattern Recognition (ANNPR). Schwenker F (Ed); Berlin: Springer Verlag: 33-45. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993895Margin based Active Learning for LVQ NetworksPUB
Schleif F-M, Hammer B, Villmann T (2006)
In: Proc. Of European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels, Belgium: d-side publications: 539-544. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994184Prototype based classification using information theoretic learningPUB
Villmann T, Hammer B, Schleif F-M, Geweniger T, Fischer T, Cottrell M (2006)
In: Neural Information Processing, 13th International Conference. Proceedings. King I, Wang J, Chan L, Wang DLL (Eds); Lecture Notes in Computer Science, 4233, Part II. Berlin: Springer: 40-49. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994273Fuzzy Labeled Self-Organizing Map with Label-Adjusted PrototypesPUB | DOI
Villmann T, Seiffert U, Schleif F-M, Brüß C, Geweniger T, Hammer B (2006)
In: Proceedings of Conference Artificial Neural Networks in Pattern Recognition. Schwenker F (Ed); Berlin: Springer: 46-56. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993889Machine Learning and Soft-Computing in Bioinformatics. A Short JourneyPUB
Schleif F-M, Elssner T, Kostrzewa M, Villmann T, Hammer B (2006)
In: Proc. of FLINS 2006. World Scientific Press: 541-548. -
2006 | Report | Veröffentlicht | PUB-ID: 1993322Matrix Learning in Learning Vector QuantizationPUB
Biehl M, Hammer B, Schneider P (2006)
Clausthal-Zellerfeld: Clausthal University of Technology. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993391Batch and Median Neural GasPUB | DOI | WoS | PubMed | Europe PMC
Cottrell M, Hammer B, Hasenfuss A, Villmann T (2006)
Neural Networks 19(6-7): 762-771. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993568Supervised median neural gasPUB
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)
In: Smart Engineering System Design. Intelligent Engineering Systems Through Artificial Neural Networks, 16. Dagli C, Buczak A, Enke D, Embrechts A, Ersoy O (Eds); ASME Press: 623-633. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993594Supervised median clusteringPUB
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)
In: Smart systems engineering : infra-structure systems engineering, bio-informatics and computational biology and evolutionary computation : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2006). Dagli CH (Ed); ASME Press series on intelligent engineering systems through artificial neural networks, 16. New York, NY: ASME Press: 623-632. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993878Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing MapsPUB | DOI
Schleif F-M, Elssner T, Kostrzewa M, Villmann T, Hammer B (2006)
In: 19th IEEE International Symposium on Computer- based Medical Systems. Lee DJ, Nutter B, Antani S, Mitra S, Archibald J (Eds); Los Alamitos: IEEE Computer Society Press: 919-924. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994028Neural Networks and Machine Learning in Bioinformatics - Theory and ApplicationsPUB
Seiffert U, Hammer B, Kaski S, Villmann T (2006)
In: Proc. Of European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels, Belgium: d-side publications: 521-532. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994201Perspectives of Self-adapted Self-organizing Clustering in Organic ComputingPUB | DOI
Villmann T, Hammer B, Seiffert U (2006)
In: Biologically Inspired Approaches to Advanced Information Technology, Second International Workshop. Proceedings. Lecture Notes in Computer Science, 3853. Ijspeert AJ, Masuzawa T, Kusumoto S (Eds); Berlin: Springer: 141-159. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994237Comparison of relevance learning vector quantization with other metric adaptive classification methodsPUB | DOI | WoS | PubMed | Europe PMC
Villmann T, Schleif F-M, Hammer B (2006)
Neural Networks 19(5): 610-622. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993301Learning vector quantization: The dynamics of winner-takes-all algorithmsPUB | DOI | WoS
Biehl M, Ghosh A, Hammer B (2006)
Neurocomputing 69(7-9): 660-670. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993440Performance analysis of LVQ algorithms: a statistical physics approachPUB | DOI | WoS | PubMed | Europe PMC
Ghosh A, Biehl M, Hammer B (2006)
Neural Networks 19(6-7): 817-829. -
2006 | Report | Veröffentlicht | PUB-ID: 1993584Supervised median clusteringPUB
Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006) IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993611Magnification Control for Batch Neural GasPUB
Hammer B, Hasenfuss A, Villmann T (2006)
In: Proc. Of European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels: d-side publications: 7-12. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993659On the capacity of unsupervised recursive neural networks for symbol processingPUB
Hammer B, Neubauer N (2006)
In: Workshop proceedings of NeSy'06. d'Avila Garcez A, Hitzler P, Tamburrini G (Eds); . -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993762Effizient Klassifizieren und Clustern: Lernparadigmen von VektorquantisierernPUB
Hammer B, Villmann T (2006)
Künstliche Intelligenz 3(6): 5-11. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994082Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysisPUB | DOI | WoS
Strickert M, Seiffert U, Sreenivasulu N, Weschke W, Villmann T, Hammer B (2006)
Neurocomputing 69(7-9): 651-659. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994195Fuzzy Classification by Fuzzy Labeled Neural GasPUB | DOI | WoS | PubMed | Europe PMC
Villmann T, Hammer B, Schleif F-M, Geweniger T, Herrmann W (2006)
Neural Networks 19(6-7): 772-779. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994241Prototype-based fuzzy classification with local relevance for proteomicsPUB | DOI | WoS
Villmann T, Schleif F-M, Hammer B (2006)
Neurocomputing 69(16-18): 2425-2428. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017225Learning vector quantization classification with local relevance determination for medical dataPUB | DOI
Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W (2006)
In: Artificial Intelligence and Soft-Computing - Proceedings of ICAISC 2006. LNAI, 4029. Rutkowski L, Tadeusiewicz R, Zadeh LA, Zurada J (Eds); Lecture notes in computer science ; 4029 : Lecture notes in artificial intelligence, 4029. Berlin, Heidelberg: Springer: 603-612. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982120Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance LearningPUB | DOI
Villmann T, Schleif F-M, Hammer B (2005)
In: Fourth International Conference on Machine Learning and Applications (ICMLA'05). IEEE: 11-15. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993624Self Organizing Maps for Time SeriesPUB
Hammer B, Micheli A, Neubauer N, Sperduti A, Strickert M (2005)
In: Proceedings of WSOM 2005. 115-122. -
-
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994172Fuzzy Labeled Neural GAS for Fuzzy ClassificationPUB
Villmann T, Hammer B, Schleif F-M, Geweniger T (2005)
In: Proceedings of the 5th Workshop on Self-Organizing Maps [on CD-ROM]. Cottrell M (Ed); Paris, France: University Paris-1-Pantheon-Sorbonne: 283-290. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993305The dynamics of Learning Vector QuantizationPUB
Biehl M, Gosh A, Hammer B (2005)
In: ESANN'05. Verleysen M (Ed); Evere: d-side publishing: 13-18. -
-
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993406On approximate learning by multi-layered feedforward circuitsPUB | DOI | WoS
DasGupta B, Hammer B (2005)
Theoretical Computer Science 348(1): 95-127. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993444Dynamical Analysis of LVQ type learning rulesPUB
Ghosh A, Biehl M, Hammer B (2005)
In: Proceedings of WSOM. 578-594. -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993641Universal approximation capability of cascade correlation for structuresPUB | DOI | WoS
Hammer B, Micheli A, Sperduti A (2005)
Neural Computation 17(5): 1109-1159. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993665Relevance learning for mental disease classificationPUB
Hammer B, Rechtien A, Strickert M, Villmann V (2005)
In: ESANN'05. Verleysen M (Ed); d-side publishing: 139-144. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994118Relevance determination in reinforcement learningPUB
Tluk von Toschanowitz K, Hammer B, Ritter H (2005)
In: ESANN'05. Verleysen M (Ed); d-side publishing: 369-374. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994219Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector QuantizationPUB
Villmann T, Schleif F-M, Hammer B (2005)
In: International Workshop on Integrative Bioinformatics. -
-
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993416Improving iterative repair strategies for scheduling with the SVMPUB | DOI | WoS
Gersmann K, Hammer B (2005)
Neurocomputing 63: 271-292. -
2005 | Report | Veröffentlicht | PUB-ID: 1993675On the Generalization Ability of Prototype-Based Classifiers with Local Relevance DeterminationPUB
Hammer B, Schleif F-M, Villmann T (2005) IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993721Supervised neural gas with general similarity measurePUB | DOI | WoS
Hammer B, Strickert M, Villmann T (2005)
Neural Processing Letters 21(1): 21-44. -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993671Special issue on neural networks and kernel methods for structured domainsPUB | DOI | WoS | PubMed | Europe PMC
Hammer B, Saunders C, Sperduti A (2005)
Neural Networks 18(8): 1015-1018. -
2005 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993710Prototype based recognition of splice sitesPUB
Hammer B, Strickert M, Villmann T (2005)
In: Bioinformatics using computational intelligence paradigms. Seiffert U, Jain LC, Schweitzer P (Eds); Berlin: Springer: 25-55. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993974Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic DataPUB | DOI
Schleif F-M, Villmann T, Hammer B (2005)
In: Proceedings of the 6th Workshop on Fuzzy Logic and Applications. Bloch I, Petrosino A, Tettamanzi AGB (Eds); Berlin, Heidelberg: Springer: 290-296. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994249Fuzzy labeled soft nearest neighbor classification with relevance learningPUB
Villmann T, Schleif F-M, Hammer B (2005)
In: Proceedings of the International Conference of Machine Learning Applications. Wani MA, Cios KJ, Hafeez K (Eds); Los Angeles: IEEE Press: 11-15. -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993717On the generalization ability of GRLVQ networksPUB | DOI | WoS
Hammer B, Strickert M, Villmann T (2005)
Neural Processing Letters 21(2): 109-120. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993750Classification using non standard metricsPUB
Hammer B, Villmann T (2005)
In: ESANN'05. Verleysen M (Ed); Brussels: d-side publishing: 303-316. -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994063Unsupervised recursive sequences processingPUB | DOI | WoS
Strickert M, Hammer B, Blohm S (2005)
Neurocomputing 63: 69-97. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982121A reinforcement learning algorithm to improve scheduling search heuristics with the SVMPUB | DOI
Gersmann K, Hammer B (2004)
In: 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)., 3. IEEE: 1811-1816. -
2004 | Report | Veröffentlicht | PUB-ID: 1993732A mathematical characterization of the architectural bias of recursive modelsPUB
Hammer B, Tino P, Micheli A (2004) Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994168Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment DetectionPUB
Villmann T, Hammer B, Schleif F-M (2004)
In: Proceedings of Selbstorganisation Von Adaptivem Verfahren. Fortschritts-Berichte VDI Reihe 10, Nr. 742. Groß H-M, Debes K, Böhme H-J (Eds); VDI Verlag: 592-597. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994111Mapping the Design Space of Reinforcement Learning Problems - a Case StudyPUB
Tluk von Toschanowitz K, Hammer B, Ritter H (2004)
In: SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior. Gross H-M, Debes K, Böhme H-J (Eds); VDI Verlag: 251-261. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994212Metric adaptation for optimal feature classification in learning vector quantization applied to environment detectionPUB
Villmann T, Schleif F-M, Hammer B (2004)
In: SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior. Groß H-M, Debes K, Böhme H-J (Eds); VDI Verlag. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993620Neural methods for non-standard dataPUB
Hammer B, Jain BJ (2004)
In: European Symposium on Artificial Neural Networks'2004. Verleysen M (Ed); D-side publications: 281-292. -
2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993649Recursive self-organizing network modelsPUB | DOI | WoS | PubMed | Europe PMC
Hammer B, Micheli A, Sperduti A, Strickert M (2004)
Neural Networks 17(8-9): 1061-1085. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993702Relevance LVQ versus SVMPUB
Hammer B, Strickert M, Villmann T (2004)
In: Artificial Intelligence and Softcomputing, Lecture Notes in Artificial Intelligence, 3070. Rutkowski L, Siekmann J, Tadeusiewicz R, Zadeh LA (Eds); Berlin: Springer: 592-597. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993419A reinforcement learning algorithm to improve scheduling search heuristics with the SVMPUB
Gersmann K, Hammer B (2004)
In: IJCNN. -
2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993654A general framework for unsupervised processing of structured dataPUB | DOI | WoS
Hammer B, Micheli A, Sperduti A, Strickert M (2004)
Neurocomputing 57: 3-35. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993870Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric DataPUB
Schleif F-M, Clauss U, Villmann T, Hammer B (2004)
In: Proceedings of the 3rd International Conference on Machine Learning and Applications (ICMLA) 2004. Wani MA, Cios KJ, Hafeez K (Eds); Los Alamitos, CA, USA: IEEE Press: 374-379. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994049Self-organizing context learningPUB
Strickert M, Hammer B (2004)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D-side publications: 39-44. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994099On early stages of learning in connectionist models with feedback connectionsPUB
Tino P, Hammer B (2004)
In: Compositional Connectionism in Cognitive Science. -
2003 | Preprint | PUB-ID: 2999891
Mathematical Aspects of Neural Netorks (Habilitation)PUB | PDF
Hammer B (2003)
Habilitationsschrift (kumulativ). -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982124Recurrent Neural Networks with Small Weights Implement Definite Memory MachinesPUB | DOI
Hammer B, Tiňo P (2003)
Neural Computation 15(8): 1897-1929. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982123Neural maps in remote sensing image analysisPUB | DOI
Villmann T, Merényi E, Hammer B (2003)
Neural Networks 16(3-4): 389-403. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982122Architectural Bias in Recurrent Neural Networks: Fractal AnalysisPUB | DOI
Tiňo P, Hammer B (2003)
Neural Computation 15(8): 1931-1957. -
2003 | Report | Veröffentlicht | PUB-ID: 1993725On the generalization ability of GRLVQPUB
Hammer B, Strickert M, Villmann T (2003) Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994108Architectural Bias in Recurrent Neural Networks: Fractal AnalysisPUB
Tiño P, Hammer B (2003)
Neural Computation 15(8): 1931-1957. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994223Supervised Neural Gas and Relevance Learning in Learning Vector QuantizationPUB
Villmann T, Schleif F-M, Hammer B (2003)
In: Proceedings of the 4th Workshop on Self Organizing Maps [on CD-ROM]. Yamakawa T (Ed); Hibikino, Kitakyushu, Japan: Kyushu Institute of Technology: 47-52. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993338Monitoring technical systems with prototype based clusteringPUB
Bojer T, Hammer B, Koeers C (2003)
In: ESANN 2003, 10th European Symposium on Artificial Neural Network. Proceedings. Verleysen M (Ed); Evere: D-side publication: 433-439. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993530A Note on the Universal Approximation Capability of Support Vector MachinesPUB
Hammer B, Gersmann K (2003)
Neural Processing Letters 17(1): 43-53. -
2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993487Perspectives on learning symbolic data with connectionistic systemsPUB
Hammer B (2003)
In: Adaptivity and Learning. Kühn R, Menzel R, Menzel W, Ratsch U, Richter MM, Stamatescu I (Eds); Berlin: Springer: 141-160. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993754Mathematical Aspects of Neural NetworksPUB
Hammer B, Villmann T (2003)
In: Proc. Of European Symposium on Artificial Neural Networks (ESANN'2003). Verleysen M (Ed); Brussels, Belgium: d-side: 59-72. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994053Unsupervised recursive sequence processingPUB
Strickert M, Hammer B (2003)
In: 10th European Symposium on Artificial Neural Networks. Proceedings. Verleysen M (Ed); D-side publication: 27-32. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994060 PUB
-
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993412Improving iterative repair strategies for scheduling with the SVMPUB
Gersmann K, Hammer B (2003)
In: ESANN 2003, 10th European Symposium on Artificial Neural Networks. Proceedings. Verleysen M (Ed); Evere: D-side publication: 235-240. -
2003 | Report | Veröffentlicht | PUB-ID: 1993645A general framework for self-organizing structure processing neural networksPUB
Hammer B, Micheli a., Sperduti A (2003)
Pisa: Universita di Pisa, Dipartimento die Informatica. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993349Determining Relevant Input Dimensions for the Self-Organizing MapPUB
Bojer T, Hammer B, Strickert M, Villmann T (2003)
In: Neural Networks and Soft Computing (Proc. ICNNSC 2002). Rutkowski L, Kacprzyk J (Eds); Physica-Verlag: 388-393. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993736Recurrent Neural Networks with Small Weights Implement Definite Memory MachinesPUB
Hammer B, Tiño P (2003)
Neural Computation 15(8): 1897-1929. -
2003 | Report | Veröffentlicht | PUB-ID: 1994157Metric adaptation and relevance learning in learning vector quantizationPUB
Villmann T, Hammer B (2003) Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994208Neural maps in remote sensing image analysisPUB
Villmann T, Merényi E, Hammer B (2003)
Neural Networks 16(3-4): 389-403. -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982126Recurrent networks for structured data – A unifying approach and its propertiesPUB | DOI
Hammer B (2002)
Cognitive Systems Research 3(2): 145-165. -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982125Generalized relevance learning vector quantizationPUB | DOI
Hammer B, Villmann T (2002)
Neural Networks 15(8-9): 1059-1068. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993636A general framework for unsupervised processing of structured dataPUB
Hammer B, Micheli A, Sperduti A (2002)
In: ESANN 2002, 10th European Symposium on Artificial Neural Network. Proceedings. Verleysen M (Ed); De-side publication: 389-394. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994095Architectural bias in recurrent neural networks – fractal analysisPUB
Tino P, Hammer B (2002)
In: Proc. International Conf. on Artificial Neural Networks. Lecture Notes in Computer Science, 2415. Dorronsoro JR (Ed); Berlin: Springer: 370-376. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994146Supervised Neural Gas for Learning Vector QuantizationPUB
Villmann T, Hammer B (2002)
In: Proc. of the 5th German Workshop on Artificial Life. Polani D, Kim J, Martinetz T (Eds); Berlin: Akademische Verlagsgesellschaft - infix - IOS Press: 9-16. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993688Perspectives on Learning with Recurrent Neural NetworksPUB
Hammer B, Steil JJ (2002)
In: Proc. European Symposium Artificial Neural Networks. Verleysen M (Ed); D-side publication: 357-368. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993758Batch-GRLVQPUB
Hammer B, Villmann T (2002)
In: Proc. Of European Symposium on Artificial Neural Networks (ESANN'2002). Verleysen M (Ed); Brussels, Belgium: d-side: 295-300. -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993765Generalized Relevance Learning Vector QuantizationPUB
Hammer B, Villmann T (2002)
Neural Networks 15(8-9): 1059-1068. -
2002 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993471Compositionality in Neural SystemsPUB
Hammer B (2002)
In: Handbook of Brain Theory and Neural Networks. Arbib M (Ed); 2nd. MIT Press: 244-248. -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993508Recurrent neural networks for structured data – a unifying approach and its propertiesPUB
Hammer B (2002)
Cognitive Systems Research 3(2): 145-165. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993692Learning Vector Quantization for Multimodal DataPUB
Hammer B, Strickert M, Villmann T (2002)
In: Proc. International Conf. on Artificial Neural Networks (ICANN). Lecture Notes in Computer Science, 2415. Dorronsoro JR (Ed); Berlin: Springer Verlag: 370-376. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993697Rule Extraction from Self-Organizing NetworksPUB
Hammer B, Strickert M, Villmann T (2002)
In: Proc. International Conf. on Artificial Neural Networks (ICANN). Lecture Notes in Computer Science, 2415. Dorronsoro JR (Ed); Berlin: Springer Verlag: 877-883. -
2002 | Report | Veröffentlicht | PUB-ID: 1993729Neural networks with small weights implement finite memory machinesPUB
Hammer B, Tino P (2002) Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982130On the Generalization Ability of Recurrent NetworksPUB | DOI
Hammer B (2001)
In: Artificial Neural Networks — ICANN 2001. Dorffner G, Bischof H, Hornik K (Eds); Lecture Notes in Computer Science, 2130. Berlin, Heidelberg: Springer Berlin Heidelberg: 731-736. -
2001 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982129Generalized Relevance LVQ for Time SeriesPUB | DOI
Strickert M, Bojer T, Hammer B (2001)
In: Artificial Neural Networks — ICANN 2001. Dorffner G, Bischof H, Hornik K (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 677-683. -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982128Generalization ability of folding networksPUB | DOI
Hammer B (2001)
IEEE Transactions on Knowledge and Data Engineering 13(2): 196-206. -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982127Closure properties of uniform convergence of empirical means and PAC learnability under a family of probability measuresPUB | DOI
Vidyasagar M, Balaji S, Hammer B (2001)
Systems & Control Letters 42(2): 151-157. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993768Input Pruning for Neural Gas ArchitecturesPUB
Hammer B, Villmann T (2001)
In: Proc. Of European Symposium on Artificial Neural Networks (ESANN'2001). Brussels, Belgium: D facto publications: 283-288. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993343Relevance determination in learning vector quantizationPUB
Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K (2001)
In: ESANN'2001. Verleysen M (Ed); D-facto publications: 271-276. -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994123Closure properties of uniform convergence of empirical means and PAC learnability under a family of probability measuresPUB
Vidyasagar M, Balaji S, Hammer B (2001)
System and Control Letters 42: 151-157. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993474On the Generalization Ability of Recurrent NetworksPUB
Hammer B (2001)
In: Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130. Dorffner G, Bischof H, Hornik K (Eds); Berlin: Springer: 731-736. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993739Estimating Relevant Input Dimensions for Self-Organizing AlgorithmsPUB
Hammer B, Villmann T (2001)
In: Advances in Self-Organising Maps. Allinson NM, Yin H, Allinson L, Slack J (Eds); London: Springer: 173-180. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994042Generalized Relevance LVQ for Time SeriesPUB
Strickert M, Bojer T, Hammer B (2001)
In: Artificial Neural Networks. International Conference. Proceedings. Lecture Notes in Computer Science, 2130. Dorffner G, Bischof H, Hornik K (Eds); Berlin: Springer: 677-683. -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993510Generalization Ability of Folding Networks.PUB
Hammer B (2001)
IEEE Trans. Knowl. Data Eng. 13(2): 196-206. -
2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982131On the approximation capability of recurrent neural networksPUB | DOI
Hammer B (2000)
Neurocomputing 31(1-4): 107-123. -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993499Limitations of hybrid systemsPUB
Hammer B (2000)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D-facto publications: 213-218. -
2000 | Monographie | Veröffentlicht | PUB-ID: 1993514Learning with Recurrent Neural NetworksPUB
Hammer B (2000) Lecture Notes in Control and Information Sciences, 254.
Berlin: Springer. -
2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993512On the approximation capability of recurrent neural networksPUB
Hammer B (2000)
Neurocomputing 31(1-4): 107-123. -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993400On Approximate Learning by Multi-layered Feedforward Circuits.PUB
DasGupta B, Hammer B (2000)
In: Algorithmic Learning Theory, 11th International Conference. Proceedings. Lecture Notes in Computer Science, 1968. Arimura H, Jain S, Sharma A (Eds); Berlin: Springer: 264-278. -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993479Approximation and generalization issues of recurrent networks dealing with structured dataPUB
Hammer B (2000)
In: ECAI workshop: Foundations of connectionist-symbolic integration: representation, paradigms, and algorithms. Frasconi P, Sperduti A, Gori M (Eds); . -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993495Neural networks classifying symbolic dataPUB
Hammer B (2000)
In: ICML workshop on attribute-value and relational learning: crossing the boundaries. de Raedt L, Kramer S (Eds); 61-65. -
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1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982132On the Learnability of Recursive DataPUB | DOI
Hammer B (1999)
Mathematics of Control, Signals, and Systems 12(1): 62-79. -
1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993516On the learnability of recursive dataPUB
Hammer B (1999)
Mathematics of Control, Signals and Systems 12: 62-79. -
1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993502Approximation capabilities of folding networksPUB
Hammer B (1999)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D-facto publications: 33-38. -
1999 | Report | Veröffentlicht | PUB-ID: 1993409Hardness of approximation of the loading problem for multi-layered feedforward neural networksPUB
DasGupta B, Hammer B (1999)
DIMACS Center, Rutgers University. -
1998 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993484On the Approximation Capability of Recurrent Neural NetworksPUB
Hammer B (1998)
In: Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998). Heiss M (Ed); ICSC Academic Press: 512-518. -
1998 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993505Training a sigmoidal network is difficultPUB
Hammer B (1998)
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D-facto publications: 255-260. -
1998 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993518Some complexity results for perceptron networksPUB
Hammer B (1998)
In: International Conference on artificial Neural Networks. 639-644. -
1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993526Generalization of Elman NetworksPUB
Hammer B (1997)
In: Artificial Neural Networks - ICANN '97, 7th International Conference. Proceedings. Lecture Notes in Computer Science, 1327. Berlin: Springer: 409-414. -
1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993684Neural networks can approximate mappings on structured objectsPUB
Hammer B, Sperschneider V (1997)
In: International conference on Computational Intelligence and Neural Networks. Wang PP (Ed); 211-214. -
1997 | Report | Veröffentlicht | PUB-ID: 1993524On the generalization ability of simple recurrent neural networksPUB
Hammer B (1997) Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
1997 | Report | Veröffentlicht | PUB-ID: 1993520Learning recursive data is intractablePUB
Hammer B (1997) Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
1997 | Report | Veröffentlicht | PUB-ID: 1993522A NP-hardness result for a sigmoidal 3-node neural networkPUB
Hammer B (1997) Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
1996 | Report | Veröffentlicht | PUB-ID: 1993528Universal approximation of mappings on structured objects using the folding architecturePUB
Hammer B (1996) Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
1996 | Monographie | Veröffentlicht | PUB-ID: 1994039Theoretische Informatik. Eine problemorientierte EinführungPUB
Sperschneider V, Hammer B (1996)
erlin: Springer.