545 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2994158Hammer B (2024)PUB | DOI | WoS
Explaining Neural Networks - Deep and Shallow.
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: 2991394Kolpaczki P, Muschalik M, Fumagalli F, Hammer B, Hüllermeier E (2024)PUB | WoS | arXiv
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification.
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. -
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2024 | Konferenzbeitrag | PUB-ID: 2992095Störck F, Hinder F, Brinkrolf J, Paaßen B, Vaquet V, Hammer B (2024)PUB | DOI | Download (ext.) | WoS
FairGLVQ: Fairness in Partition-Based Classification.
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: 2993721Peters H, Djakow E, Rostek T, Mazur A, Trächtler A, Homberg W, Hammer B (2024)PUB | DOI
Novel approach for data-driven modelling of multi-stage straightening and bending processes.
In: Material Forming: ESAFORM 2024. Materials Research Proceedings, 41. Materials Research Forum LLC: 2289-2298. -
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2993652Shah ZH, Müller M, Hübner W, Ortkraß H, Hammer B, Huser T, Schenck W (2024)PUB | DOI | WoS | PubMed | Europe PMC
Image restoration in frequency space using complex-valued CNNs.
Frontiers in Artificial Intelligence 7: 1353873. -
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2991468
Hinder F, Vaquet V, Hammer B (2024)PUB | PDF | DOI | WoS | PubMed | Europe PMC
One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift.
Frontiers in Artificial Intelligence 7. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993744Vaquet V, Vaquet J, Hinder F, Malialis K, Panayiotou C, Polycarpou M, Hammer B (2024)PUB | DOI
Self-Supervised Learning from Incrementally Drifting Data Streams.
In: ESANN 2024 proceesdings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 431-436. -
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2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2993739Vaquet V, Hinder F, Artelt A, Ashraf I, Strotherm J, Vaquet J, Brinkrolf J, Hammer B (2024)PUB | DOI
Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks.
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 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993740Vaquet V, Hinder F, Vaquet J, Lammers K, Quakernack L, Hammer B (2024)PUB | DOI
Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations.
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8. -
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2024 | Report | Veröffentlicht | PUB-ID: 2992602
Hammer B, Alaçam Ö, Arlinghaus CS, Brinkmann M, Dörksen H, Hoeken S, Jungeblut T, Knaup J, Leite D, Lohweg V, Maier GW, Ngonga Ngomo A-C, Othman A, Peitz S, Platzner M, Pütz O, Röcker C, Röder M, Schenck W, Schneider A, Schwandt S, Spliethoff S, Straat M, Sürmeli BG, Vollmer A-L, Zarrieß S (2024)PUB | Dateien verfügbar | DOI
Sustainable Life-Cycle of Intelligent Socio-Technical Systems. -
2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2988509Hinder F, Vaquet V, Hammer B (2024)PUB | DOI | WoS
A Remark on Concept Drift for Dependent Data.
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. -
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992337
Zanutto D, Michalopoulos C, Chatzistefanou G-A, Vamvakeridou-Lyroudia L, Tsiami L, Glynis K, Samartzis P, Hermes L, Hinder F, Vaquet J, Vaquet V, Eliades D, Polycarpou M, Koundouri P, Hammer B, Savić D (2024)PUB | PDF | DOI
A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning.
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 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2988175Ashraf MI, Strotherm J, Hermes L, Hammer B (2024)PUB | WoS
Physics-Informed Graph Neural Networks for Water Distribution Systems.
In: THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 20. Palo alto: Assoc Advancement Artificial Intelligence. -
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2991310
Hinder F, Vaquet V, Hammer B (2024)PUB | PDF | DOI | WoS | PubMed | Europe PMC
One or two things we know about concept drift-a survey on monitoring in evolving environments. Part A: detecting concept drift.
Frontiers in Artificial Intelligence 7: 1330257. -
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572Schroeder S, Schulz A, Hinder F, Hammer B (2024)PUB | DOI
Semantic Properties of Cosine Based Bias Scores for Word Embeddings.
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: 2987573Grimmelsmann N, Mechtenberg M, Vieth M, Schulz A, Hammer B, Schneider A (2024)PUB | DOI
Predicting 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 Networks.
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: 2988165Muschalik M, Fumagalli F, Hammer B, Hüllermeier E (2024)PUB | DOI
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.
Proceedings of the AAAI Conference on Artificial Intelligence 38(13): 14388-14396. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2988098Vaquet V, Hinder F, Hammer B (2024)PUB | DOI
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks.
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: 2983942Muschalik M, Fumagalli F, Jagtani R, Hammer B, Hüllermeier E (2023)PUB | DOI | WoS
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.
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: 2983795Kuhl U, Artelt A, Hammer B (2023)PUB | DOI | WoS
For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAI.
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: 2987580Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B (2023)PUB | Download (ext.) | WoS | arXiv
SHAP-IQ: Unified Approximation of any-order Shapley Interactions.
In: Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Advances in Neural Information Processing Systems, . -
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985684Kummert J, Schulz A, Feldhans R, Habigt M, Stemmler M, Kohler C, Abel D, Rossaint R, Hammer B (2023)PUB | DOI
Generating Cardiovascular Data to Improve Training of Assistive Heart Devices.
In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 1292-1297. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969734
Kuhl U, Artelt A, Hammer B (2023)PUB | PDF | DOI | Download (ext.) | WoS | arXiv
Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning.
Frontiers in Computer Science 5: 1087929. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985683Feldhans R, Schulz A, Kummert J, Habigt M, Stemmler M, Kohler C, Abel D, Rossaint R, Hammer B (2023)PUB | DOI
Data Augmentation for Cardiovascular Time Series Data Using WaveNet.
In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 836-841. -
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980971Strotherm J, Hammer B (2023)PUB | DOI | Download (ext.)
Fairness-Enhancing Ensemble Classification in Water Distribution Networks.
Presented at the International Work-Conference on Artificial Neural Networks (IWANN) 2023, Ponta Delgada. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982167Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)PUB | DOI
On the Hardness and Necessity of Supervised Concept Drift Detection.
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 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2977934Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)PUB | DOI
On the Change of Decision Boundary and Loss in Learning with Concept Drift.
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: 2969381Schroeder S, Schulz A, Kenneweg P, Hammer B (2023)PUB | DOI
So Can We Use Intrinsic Bias Measures or Not?
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: 2969382Kenneweg P, Schroeder S, Schulz A, Hammer B (2023)PUB | DOI
Debiasing Sentence Embedders Through Contrastive Word Pairs.
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: 2969383Artelt A, Schulz A, Hammer B (2023)PUB | DOI | arXiv
"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction.
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 27-38. -
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983250Vieth M, Schulz A, Hammer B (2023)PUB | DOI
Extending Drift Detection Methods to Identify When Exactly the Change Happened.
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: 2983455Liuliakov A, Schulz A, Hermes L, Hammer B (2023)PUB | DOI
One-Class Intrusion Detection with Dynamic Graphs.
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: 2983943Muschalik M, Fumagalli F, Hammer B, Hüllermeier E (2023)PUB | DOI
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.
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: 2981289Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)PUB | DOI | Download (ext.) | WoS
Model-based explanations of concept drift.
Neurocomputing: 126640. -
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982830Hinder F, Hammer B (2023)PUB
Feature Selection for Concept Drift Detection.
In: ESANN 2023 Proceedings. Verleysen M (Ed);. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983759Koundouri P, Hammer B, Kuhl U, Velias A (2023)PUB | DOI | Download (ext.) | WoS
Behavioral Economics and Neuroeconomics of Environmental Values.
Annual Review of Resource Economics 15(1): 153-176. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984049Ashraf I, Hermes L, Artelt A, Hammer B (2023)PUB | DOI
Spatial Graph Convolution Neural Networks for Water Distribution Systems.
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 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984048Schulte-Schüren C, Wagner S, Runge A, Bariamis D, Hammer B, Yoneki E, Nardi L (2023)PUB | DOI
Best of both, Structured and Unstructured Sparsity in Neural Networks.
In: Proceedings of the 3rd Workshop on Machine Learning and Systems. New York, NY, USA: ACM: 104-108. -
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983457Schroeder S, Schulz A, Tarakanov I, Feldhans R, Hammer B (2023)PUB | DOI
Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation.
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: 2983406Stahlhofen P, Artelt A, Hermes L, Hammer B (2023)PUB | DOI | Preprint
Adversarial Attacks on Leakage Detectors in Water Distribution Networks.
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. -
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2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962746
Artelt A, Hinder F, Vaquet V, Feldhans R, Hammer B (2022)PUB | PDF | DOI | Download (ext.) | WoS
Contrasting Explanations for Understanding and Regularizing Model Adaptations.
Neural Processing Letters 55: 5273–5297. -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2967683
Kenneweg P, Stallmann D, Hammer B (2022)PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
Novel transfer learning schemes based on Siamese networks and synthetic data.
Neural Computing and Applications 35: 8423–8436. -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982135Jakob J, Hasenjäger M, Hammer B (2022)PUB | DOI
Reject Options for Incremental Regression Scenarios.
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: 2969736Kuhl U, Artelt A, Hammer B (2022)PUB | DOI | Download (ext.)
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting.
In: 2022 ACM Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM: 2125-2137. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969235Castellani A, Schmitt S, Hammer B (2022)PUB | DOI | Download (ext.)
Stream-Based Active Learning with Verification Latency in Non-stationary Environments.
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. -
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2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2969459Jakob J, Artelt A, Hasenjäger M, Hammer B (2022)PUB | DOI
SAM-kNN Regressor for Online Learning in Water Distribution Networks.
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: 2969460Artelt A, Brinkrolf J, Visser R, Hammer B (2022)PUB | DOI
Explaining Reject Options of Learning Vector Quantization Classifiers.
In: Proceedings of the 14th International Joint Conference on Computational Intelligence. SCITEPRESS - Science and Technology Publications: 249-261. -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296Velioglu R, Göpfert JP, Artelt A, Hammer B (2022)PUB | DOI
Explainable Artificial Intelligence for Improved Modeling of Processes.
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 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022)PUB | DOI | Download (ext.)
Localization of Concept Drift: Identifying the Drifting Datapoints.
In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-9. -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967410Vieth M, Grimmelsmann N, Schneider A, Hammer B (2022)PUB | DOI | Download (ext.)
Efficient Sensor Selection for Individualized Prediction Based on Biosignals.
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. -
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2022 | Konferenzbeitrag | Angenommen | PUB-ID: 2964534Vaquet V, Hinder F, Brinkrolf J, Menz P, Seiffert U, Hammer B (Accepted)PUB
Federated learning vector quantization for dealing with drift between nodes.
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: 2964421Muschalik M, Fumagalli F, Hammer B, Hüllermeier E (2022)PUB | DOI | Download (ext.) | WoS
Agnostic Explanation of Model Change based on Feature Importance.
KI - Künstliche Intelligenz. -
2022 | Report | Veröffentlicht | PUB-ID: 2965286Artelt A, Geminn C, Hammer B, Manzeschke A, Mavrina L, Weber C (2022)PUB | DOI | Download (ext.)
Faire Algorithmen und die Fairness von Erklärungen: Informatische, rechtliche und ethische Perspektiven.
DuEPublico: Duisburg-Essen Publications online, University of Duisburg-Essen, Germany. -
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2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022)PUB
Localization of Concept Drift: Identifying the Drifting Datapoints. -
2022 | Preprint | PUB-ID: 2962919
Artelt A, Vrachimis S, Eliades D, Polycarpou M, Hammer B (2022)PUB | PDF | Download (ext.) | arXiv
One Explanation to Rule them All — Ensemble Consistent Explanations.
ArXiv:2205.08974 . -
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096Kenneweg P, Schulz A, Schroeder S, Hammer B (2022)PUB | DOI
Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers.
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: 2987492Savic D, Hammer B, Koundouri P, Polycarpou M (2022)PUB | DOI
Long-Term Transitioning of Water Distribution Systems: ERC Water-Futures Project.
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: 2984050Hinder F, Vaquet V, Hammer B (2022)PUB | DOI
Suitability of Different Metric Choices for Concept Drift Detection.
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: 2978998Paaßen B, Schulz A, C. Stewart T, Hammer B (2022)PUB | DOI | Download (ext.) | arXiv
Reservoir Memory Machines as Neural Computers.
IEEE Transactions on Neural Networks and Learning Systems 33(6): 2575–2585. -
2022 | Report | Veröffentlicht | PUB-ID: 2965622
Hammer B, Hüllermeier E, Lohweg V, Schneider A, Schenck W, Kuhl U, Braun M, Pfeifer A, Holst C-A, Schmidt M, Schomaker G, Tornede T (2022)PUB | PDF | DOI
Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens.
Bielefeld: Univ. Bielefeld, Forschungsinstitut für Kognition und Robotik. -
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958662Schilling M, Melnik A, Ohl FW, Ritter H, Hammer B (2021)PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning.
Neural Networks 144: 699-725. -
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2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982165Liuliakov A, Hammer B (2021)PUB | DOI
AutoML Technologies for the Identification of Sparse Models.
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: 2969237Castellani A, Schmitt S, Hammer B (2021)PUB | DOI | Download (ext.)
Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise.
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: 2957340Artelt A, Hammer B (2021)PUB | DOI | Download (ext.) | WoS
Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers.
Neurocomputing 470(VSI: ESANN 2020): 304-317. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957373Artelt A, Hinder F, Vaquet V, Feldhans R, Hammer B (2021)PUB | DOI
Contrastive Explanations for Explaining Model Adaptations.
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 | Konferenzbeitrag | PUB-ID: 2959428Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)PUB
Fast Non-Parametric Conditional Density Estimation using Moment Trees.
IEEE Computational Intelligence Magazine. -
2021 | Preprint | PUB-ID: 2959899Artelt A, Hammer B (2021)PUB | Download (ext.) | arXiv
Convex optimization for actionable & plausible counterfactual explanations.
arXiv: 2105.07630v1. -
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747Artelt A, Vaquet V, Velioglu R, Hinder F, Brinkrolf J, Schilling M, Hammer B (2021)PUB | DOI
Evaluating Robustness of Counterfactual Explanations.
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE: 01-09. -
2021 | Report | Veröffentlicht | PUB-ID: 2954239Szczuka J, Artelt A, Geminn C, Hammer B, Kopp S, Manzeschke A, Rossnagel A, Slawik P, Strathmann C, Szymczyk N, Varonina L, Weber C (2021)PUB | DOI
Können Kinder aufgeklärte Nutzer* innen von Sprachassistenten sein? Rechtliche, psychologische, ethische und informatische Perspektiven.
Essen: Universität Duisburg-Essen, Universitätsbibliothek. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957588Artelt A, Hammer B (2021)PUB | DOI | Download (ext.)
Efficient computation of contrastive explanations.
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
Rohlfing K, Cimiano P, Scharlau I, Matzner T, Buhl HM, Buschmeier H, Esposito E, Grimminger A, Hammer B, Häb-Umbach R, Horwath I, Hüllermeier E, Kern F, Kopp S, Thommes K, Ngonga Ngomo A-C, Schulte C, Wachsmuth H, Wagner P, Wrede B (2021)PUB | PDF | DOI | WoS
Explanation as a social practice: Toward a conceptual framework for the social design of AI systems.
IEEE Transactions on Cognitive and Developmental Systems 13(3): 717--728. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954542Paaßen B, Schulz A, Hammer B (2021)PUB | DOI | Download (ext.) | WoS | arXiv
Reservoir Stack Machines.
Neurocomputing 470: 352-364. -
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2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2956229Paassen B, Schulz A, Stewart TC, Hammer B (2021)PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC | arXiv
Reservoir Memory Machines as Neural Computers.
IEEE Transactions on Neural Networks and Learning Systems: 1-11. -
2021 | Zeitschriftenaufsatz | Angenommen | PUB-ID: 2955245Stallmann D, Göpfert JP, Schmitz J, Grünberger A, Hammer B (Accepted)PUB | DOI | WoS | PubMed | Europe PMC
Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation.
Bioinformatics . -
2021 | Konferenzbeitrag | PUB-ID: 2958664Hermes L, Hammer B, Schilling M (2021)PUB | arXiv
Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting.
In: ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. . 111-116. -
2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2956774Hinder F, Hammer B (Accepted)PUB
Concept Drift Segmentation via Kolmogorov Trees.
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: 2955948Brinkrolf J, Hammer B (Accepted)PUB
Federated Learning Vector Quantization.
In: Proceedings of the ESANN, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed);. -
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2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958328Vaquet V, Hammer B (2020)PUB | DOI
Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data.
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: 2946488Hinder F, Artelt A, Hammer B (2020)PUB | Download (ext.)
Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD).
In: Proceedings of the 37th International Conference on Machine Learning. . -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946685Artelt A, Hammer B (2020)PUB | Download (ext.)
Efficient computation of counterfactual explanations of LVQ models.
In: ESANN 2020 - proceedings. Verleysen M (Ed); Louvain-la-Neuve: Ciaco : 19-24. -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946761Artelt A, Hammer B (2020)PUB | DOI | Download (ext.)
Convex Density Constraints for Computing Plausible Counterfactual Explanations.
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: 2957814Krämer N, Szczuka J, Rossnagel A, Geminn C, Kopp S, Hammer B, Mavrina L, Artelt A, Manzeschke A, Weber C (2020)PUB
Improving and Evaluating Conversational User Interfaces for Children.
In: IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces. New York: Association for Computing Machinery. -
2020 | Konferenzbeitrag | PUB-ID: 2943260Schulz A, Hinder F, Hammer B (2020)PUB | DOI | Download (ext.) | arXiv
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction.
In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}. . -
2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982081Biehl M, Abadi F, Göpfert C, Hammer B (2020)PUB | DOI
Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling Framework.
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: 2940666Brinkrolf J, Hammer B (2020)PUB
Sparse Metric Learning in Prototype-based Classification.
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: 2939517Pfannschmidt L, Jakob J, Hinder F, Biehl M, Tino P, Hammer B (2020)PUB | DOI | Download (ext.) | WoS | arXiv
Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information.
Neurocomputing. -
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2019 | Preprint | PUB-ID: 2959898Artelt A, Hammer B (2019)PUB | Download (ext.) | arXiv
On the computation of counterfactual explanations - A survey.
arXiv: 1911.07749v1. -
2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982085Göpfert JP, Wersing H, Hammer B (2019)PUB | DOI
Recovering Localized Adversarial Attacks.
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: 2982084Losing V, Yoshikawa T, Hasenjaeger M, Hammer B, Wersing H (2019)PUB | DOI
Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units.
In: 2019 International Conference on Robotics and Automation (ICRA). IEEE: 9530-9536. -
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2019 | Monographie | PUB-ID: 2935200
Paaßen B, Artelt A, Hammer B (2019)PUB | Dateien verfügbar
Lecture Notes on Applied Optimization.
Faculty of Technology, Bielefeld University. -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458
Prahm C, Schulz A, Paaßen B, Schoisswohl J, Kaniusas E, Dorffner G, Hammer B, Aszmann O (2019)PUB | PDF | DOI | WoS | PubMed | Europe PMC
Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning.
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27(5): 956-962. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933893Pfannschmidt L, Jakob J, Biehl M, Tino P, Hammer B (2019)PUB | Download (ext.) | arXiv
Feature Relevance Bounds for Ordinal Regression.
In: Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Verleysen M (Ed); Louvain-la-Neuve: i6doc. -
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2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937841
Hosseini B, Hammer B (Accepted)PUB | Datei | arXiv
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection.
Presented at the The 28th ACM International Conference on Information and Knowledge Management (CIKM) , Beijing. -
2019 | Report | Veröffentlicht | PUB-ID: 2937888Krämer N, Artelt A, Geminn C, Hammer B, Kopp S, Manzeschke A, Rossnagel A, Slawik P, Szczuka J, Varonina L, Weber C (2019)PUB | DOI | Download (ext.)
KI-basierte Sprachassistenten im Alltag: Forschungsbedarf aus informatischer, psychologischer, ethischer und rechtlicher Sicht.
Universität Duisburg-Essen, Universitätsbibliothek. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937839
Hosseini B, Hammer B (2019)PUB | Datei | arXiv
Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold.
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
Pfannschmidt L, Göpfert C, Neumann U, Heider D, Hammer B (2019)PUB | PDF | DOI | arXiv
FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration.
Presented at the 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, Certosa di Pontignano, Siena - Tuscany, Italy. -
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2931283
Queißer J, Ishihara H, Hammer B, Steil JJ, Asada M (2018)PUB | PDF
Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto.
Presented at the International Conference on Development and Learning and on Epigenetic Robotics 2018 (ICDL-EPIROB2018), Tokyo . -
2018 | Datenpublikation | PUB-ID: 2930611
Hülsmann F, Göpfert JP, Hammer B, Kopp S, Botsch M (2018)PUB | Dateien verfügbar | DOI
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).
Bielefeld University. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2930862Hülsmann F, Göpfert JP, Hammer B, Kopp S, Botsch M (2018)PUB | DOI | Download (ext.) | WoS
Classification of motor errors to provide real-time feedback for sports coaching in virtual reality — A case study in squats and Tai Chi pushes.
Computers & Graphics 76: 47-59. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982092Queisser JF, Hammer B, Ishihara H, Asada M, Steil JJ (2018)PUB | DOI
Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto.
In: 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE: 39-45. -
2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982090Hosseini B, Hammer B (2018)PUB | DOI
Non-negative Local Sparse Coding for Subspace Clustering.
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: 2982089Specht F, Otto J, Niggemann O, Hammer B (2018)PUB | DOI
Generation of Adversarial Examples to Prevent Misclassification of Deep Neural Network based Condition Monitoring Systems for Cyber-Physical Production Systems.
In: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN). IEEE: 760-765. -
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932412Straat M, Abadi F, Göpfert C, Hammer B, Biehl M (2018)PUB | DOI | WoS | PubMed | Europe PMC
Statistical Mechanics of On-Line Learning Under Concept Drift.
ENTROPY 20(10): 775. -
2018 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2917896Lux M, Brinkman RR, Chauve C, Laing A, Lorenc A, Abeler-Dörner L, Hammer B (2018)PUB | DOI | WoS | PubMed | Europe PMC
flowLearn: Fast and precise identification and quality checking of cell populations in flow cytometry.
Bioinformatics 34(13): 2245-2253. -
2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2933557Meyer S, Bertrand O, Egelhaaf M, Hammer B (2018)PUB | DOI
Inferring Temporal Structure from Predictability in Bumblebee Learning Flight.
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: 2918254Brinkrolf J, Berger K, Hammer B (2018)PUB | Download (ext.)
Differential private relevance learning.
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: 2911900Paaßen B, Göpfert C, Hammer B (2018)PUB | DOI | Download (ext.) | WoS | arXiv
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces.
Neural Processing Letters 48(2): 669-689. -
2018 | Preprint | Veröffentlicht | PUB-ID: 2921209
Hosseini B, Hammer B (2018)PUB | Datei | Download (ext.) | arXiv
Non-Negative Local Sparse Coding for Subspace Clustering.
Advances in Intelligent Data Analysis XVII. IDA 2018. -
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919598Hosseini B, Hammer B (2018)PUB | arXiv
Feasibility Based Large Margin Nearest Neighbor Metric Learning.
In: ESANN 2018. Proceedings of 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 219-224. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505Paaßen B, Schulz A, Hahne J, Hammer B (2018)PUB | DOI | Download (ext.) | WoS | arXiv
Expectation maximization transfer learning and its application for bionic hand prostheses.
Neurocomputing 298: 122-133. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2921316
Göpfert JP, Hammer B, Wersing H (2018)PUB | PDF | DOI
Mitigating Concept Drift via Rejection.
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. -
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913389Paaßen B, Hammer B, Price T, Barnes T, Gross S, Pinkwart N (2018)PUB | Download (ext.) | arXiv
The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces.
Journal of Educational Data Mining 10(1): 1-35. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844Paaßen B, Gallicchio C, Micheli A, Hammer B (2018)PUB | Download (ext.) | arXiv
Tree Edit Distance Learning via Adaptive Symbol Embeddings.
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. -
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369
Paaßen B, Schulz A, Hahne J, Hammer B (2017)PUB | PDF
An EM transfer learning algorithm with applications in bionic hand prostheses.
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: 2914945Brinkrolf J, Hammer B (2017)PUB | DOI
Probabilistic extension and reject options for pairwise LVQ.
In: 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM). Piscataway, NJ: IEEE. -
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2017 | Konferenzbeitrag | PUB-ID: 2909371Biehl M, Hammer B, Villmann T (2017)PUB
Prototype based models for the supervised learning of classificaton schemes.
In: Proc. of the IAU Symposium 325 on Astroinformatics, Sorrento/Italy, October 2016. in press. -
2017 | Konferenzbeitrag | PUB-ID: 2914950Brinkrolf J, Berger K, Hammer B (2017)PUB
Differential Privacy for Learning Vector Quantization.
In: New Challenges in Neural Computation. . -
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908201
Göpfert C, Pfannschmidt L, Hammer B (2017)PUB | Dateien verfügbar | Download (ext.)
Feature Relevance Bounds for Linear Classification.
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. -
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913752
Göpfert JP, Göpfert C, Botsch M, Hammer B (2017)PUB | PDF | DOI
Effects of Variability in Synthetic Training Data on Convolutional Neural Networks for 3D Head Reconstruction.
In: 2017 SSCI Proceedings. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE. -
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2017 | Konferenzbeitrag | PUB-ID: 2909370Frenay B, Hammer B (2017)PUB
Label-Noise-Tolerant Classification for Streaming Data.
In: IEEE International Joint Conference on Neural Neworks. . -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914141
Aswolinskiy W, Hammer B (2017)PUB | PDF
Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First Results.
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
Prahm C, Schulz A, Paaßen B, Aszmann O, Hammer B, Dorffner G (2017)PUB | Dateien verfügbar | DOI
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control.
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
Göpfert C, Göpfert JP, Hammer B (2017)PUB | PDF
Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals.
In: Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments. . -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904469Hosseini B, Hülsmann F, Botsch M, Hammer B (2016)PUB | PDF | DOI | Download (ext.) | arXiv
Non-Negative Kernel Sparse Coding for the Analysis of Motion Data.
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. -
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2907633
Lux M, Krüger J, Rinke C, Maus I, Schlüter A, Woyke T, Sczyrba A, Hammer B (2016)PUB | PDF | DOI | WoS | PubMed | Europe PMC
acdc – Automated Contamination Detection and Confidence estimation for single-cell genome data.
BMC Bioinformatics 17(1): 543. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367Kummert J, Paaßen B, Jensen J, Göpfert C, Hammer B (2016)PUB | DOI
Local Reject Option for Deterministic Multi-class SVM.
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. -
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676
Paaßen B, Göpfert C, Hammer B (2016)PUB | PDF
Gaussian process prediction for time series of structured data.
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 | Veröffentlicht | PUB-ID: 2904509Paaßen B, Jensen J, Hammer B (2016)PUB | Download (ext.)
Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming.
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 | E-Veröff. vor dem Druck | PUB-ID: 2904909
Schulz A, Hammer B (2016)PUB | PDF
Discriminative Dimensionality Reduction in Kernel Space.
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: 2909365Brinkrolf J, Mittag T, Joppen R, Dr\ A, Pietsch K-H, Hammer B (2016)PUB
Virtual optimisation for improved production planning.
In: New Challenges in Neural Computation. . -
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729
Göpfert C, Paaßen B, Hammer B (2016)PUB | PDF | DOI
Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning.
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
Losing V, Hammer B, Wersing H (2016)PUB | PDF
Dedicated Memory Models for Continual Learning in the Presence of Concept Drift.
Presented at the Continual Learning Workshop of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855Paaßen B, Schulz A, Hammer B (2016)PUB | Download (ext.)
Linear Supervised Transfer Learning for Generalized Matrix LVQ.
In: Proceedings of the Workshop New Challenges in Neural Computation 2016. Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports, 11-18. -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2903457Schleif F-M, Hammer B, Gonzalez Monroy J, Gonzalez Jimenez J, Blanco-Claraco J-L, Biehl M, Petkov N (2016)PUB | DOI | WoS
Odor recognition in robotics applications by discriminative time-series modeling.
PATTERN ANALYSIS AND APPLICATIONS 19(1): 207-220. -
2016 | Konferenzbeitrag | PUB-ID: 2909368Geppert er, Hammer B (2016)PUB
Incremental learning algorithms and applications.
In: ESANN. . -
2016 | Konferenzbeitrag | PUB-ID: 2905195Fischer L, Hammer B, Wersing H (2016)PUB
Online Metric Learning for an Adaptation to Confidence Drift.
In: Proceedings of International Joint Conference on Neural Networks (IJCNN). Vancouver: IEEE: 748-755. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178
Prahm C, Paaßen B, Schulz A, Hammer B, Aszmann O (2016)PUB | PDF | DOI | Download (ext.)
Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift.
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. -
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2910957Biehl M, Hammer B, Villmann T (2016)PUB | DOI | WoS | PubMed | Europe PMC
Prototype-based models in machine learning.
Wiley Interdisciplinary Reviews: Cognitive Science 7(2): 92-111. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909366Villmann T, Kaden M, Bohnsack A, Villmann JM, Drogies T, Saralajew S, Hammer B (2016)PUB | DOI
Self-Adjusting Reject Options in Prototype Based Classification.
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. -
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752948
Gross S, Mokbel B, Hammer B, Pinkwart N (2015)PUB | PDF | DOI | Download (ext.) | WoS
Learning Feedback in Intelligent Tutoring Systems. Report of the FIT Project, Conducted from December 2011 to March 2015.
KI - Künstliche Intelligenz 29(4): 413-418. -
2015 | Preprint | Veröffentlicht | PUB-ID: 2901613Lux M, Hammer B, Sczyrba A (2015)PUB
Automated Contamination Detection in Single-Cell Sequencing.
bioRxiv. -
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783165Hosseini B, Hammer B (2015)PUB | DOI | Download (ext.) | arXiv
Efficient Metric Learning for the Analysis of Motion Data.
In: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA). Piscataway, NJ: IEEE. -
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156
Paaßen B, Mokbel B, Hammer B (2015)PUB | PDF
Adaptive structure metrics for automated feedback provision in Java programming.
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
Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)PUB | PDF | DOI | Download (ext.) | WoS
Metric learning for sequences in relational LVQ.
Neurocomputing 169(SI): 306-322. -
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303
Schulz A, Hammer B (2015)PUB | PDF | DOI
Visualization of Regression Models Using Discriminative Dimensionality Reduction.
In: Computer Analysis of Images and Patterns. Lecture Notes in Computer Science, 9257. Cham: Springer Science + Business Media: 437-449. -
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325
Blöbaum P, Schulz A, Hammer B (2015)PUB | PDF
Unsupervised Dimensionality Reduction for Transfer Learning.
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: 2900319Schulz A, Hammer B (2015)PUB | DOI
Discriminative dimensionality reduction for regression problems using the Fisher metric.
In: 2015 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical & Electronics Engineers (IEEE): 1-8. -
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774707Fischer L, Hammer B, Wersing H (2015)PUB
Certainty-based Prototype Insertion/Deletion for Classification with Metric Adaptation.
In: ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 7-12. -
2015 | Konferenzbeitrag | PUB-ID: 2774721Fischer L, Hammer B, Wersing H (2015)PUB
Combining Offline and Online Classifiers for Life-long Learning.
In: IJCNN, International Joint Conference on Neural Networks. 2808-2815. -
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087Paaßen B, Mokbel B, Hammer B (2015)PUB | Download (ext.)
A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems.
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, Desmarais M (Eds); International Educational Datamining Society: 632-632. -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955
Walter O, Häb-Umbach R, Mokbel B, Paaßen B, Hammer B (2015)PUB | PDF | DOI | Download (ext.) | WoS
Autonomous Learning of Representations.
KI - Künstliche Intelligenz 29(4): 339–351. -
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2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982100Gross S, Mokbel B, Hammer B, Pinkwart N (2014)PUB | DOI
How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning.
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: 2982099Biehl M, Hammer B, Villmann T (2014)PUB | DOI
Distance Measures for Prototype Based Classification.
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
Frenay B, Hofmann D, Schulz A, Biehl M, Hammer B (2014)PUB | PDF | DOI
Valid interpretation of feature relevance for linear data mappings.
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: 2678214Hofmann D, Schleif F-M, Paaßen B, Hammer B (2014)PUB | DOI | Download (ext.) | WoS
Learning interpretable kernelized prototype-based models.
Neurocomputing 141: 84-96. -
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2014 | Konferenzbeitrag | PUB-ID: 2909360Gross S, Mokbel B, Hammer B, Pinkwart N (2014)PUB
How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning.
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. -
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774643Fischer L, Nebel D, Villmann T, Hammer B, Wersing H (2014)PUB | DOI
Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches.
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: 2673548Fischer L, Hammer B, Wersing H (2014)PUB
Rejection strategies for learning vector quantization.
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: 2774498Fischer L, Hammer B, Wersing H (2014)PUB | DOI
Local Rejection Strategies for Learning Vector Quantization.
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
Mokbel B, Paaßen B, Hammer B (2014)PUB | PDF
Adaptive distance measures for sequential data.
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: 2673559Hammer B, He H, Martinetz T (2014)PUB
Learning and modeling big data.
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: 2734058Gross S, Mokbel B, Paaßen B, Hammer B, Pinkwart N (2014)PUB | DOI | Download (ext.)
Example-based feedback provision using structured solution spaces.
International Journal of Learning Technology 9(3): 248-280. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067
Mokbel B, Paaßen B, Hammer B (2014)PUB | PDF | DOI | Download (ext.)
Efficient Adaptation of Structure Metrics in Prototype-Based Classification.
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 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324Gisbrecht A, Schulz A, Hammer B (2014)PUB | DOI
Discriminative Dimensionality Reduction for the Visualization of Classifiers.
In: Pattern Recognition Applications and Methods. Advances in Intelligent Systems and Computing, 318. Cham: Springer Science + Business Media: 39-56. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673545Nebel D, Hammer B, Villmann T (2014)PUB
Supervised Generative Models for Learning Dissimilarity Data.
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: 2673557Schulz A, Gisbrecht A, Hammer B (2014)PUB
Relevance learning for dimensionality reduction.
In: ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges, Belgium: i6doc.com: 165-170. -
2014 | Konferenzbeitrag | PUB-ID: 2909361Hammer B, Nebel D, Riedel M, Villmann T (2014)PUB | DOI
Generative versus Discriminative Prototype Based Classification.
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: 2982105Schleif F-M, Zhu X, Hammer B (2013)PUB | DOI
Sparse Prototype Representation by Core Sets.
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: 2982104Strickert M, Hammer B, Villmann T, Biehl M (2013)PUB | DOI
Regularization and improved interpretation of linear data mappings and adaptive distance measures.
In: 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). IEEE: 10-17. -
2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982102Hofmann D, Gisbrecht A, Hammer B (2013)PUB | DOI
Efficient Approximations of Kernel Robust Soft LVQ.
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: 2982101Nebel D, Hammer B, Villmann T (2013)PUB | DOI
A Median Variant of Generalized Learning Vector Quantization.
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: 2623500Gisbrecht A, Hammer B, Mokbel B, Sczyrba A (2013)PUB | DOI
Nonlinear dimensionality reduction for cluster identification in metagenomic samples.
In: 17th International Conference on Information Visualisation IV 2013. Banissi E (Ed); Piscataway, NJ: IEEE: 174-179. -
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185Mokbel B, Gross S, Paaßen B, Pinkwart N, Hammer B (2013)PUB | Download (ext.)
Domain-Independent Proximity Measures in Intelligent Tutoring Systems.
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: 2909358Strickert M, Hammer B, Villmann T, Biehl M (2013)PUB
Regularization and Improved Interpretation of Linear Data Mappings and Adaptive Distance Measures.
In: IEEE SSCI CIDM 2013. IEEE Computational Intelligence Society: 10-17. -
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456Schulz A, Gisbrecht A, Hammer B (2013)PUB | DOI | WoS
Using Nonlinear Dimensionality Reduction to Visualize Classifiers.
In: Advances in computational intelligence. Proceedings. Vol 1. Rojas I, Joya G, Gabestany J (Eds); Lecture Notes in Computer Science, 7902. Springer: 59-68. -
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622467Schulz A, Gisbrecht A, Hammer B (2013)PUB
Classifier inspection based on different discriminative dimensionality reductions.
In: Workshop NC^2 2013. TR Machine Learning Reports: 77-86. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625194Gisbrecht A, Miche Y, Hammer B, Lendasse A (2013)PUB
Visualizing Dependencies of Spectral Features using Mutual Information.
In: ESANN, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 573-578. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625199Hofmann D, Hammer B (2013)PUB
Sparse approximations for kernel learning vector quantization.
In: ESANN. . -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625202Schleif F-M, Zhu X, Hammer B (2013)PUB
Sparse prototype representation by core sets.
In: IDEAL 2013. Hujun Yin et.al (Ed);. -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625207Gross S, Mokbel B, Hammer B, Pinkwart N (2013)PUB
Towards Providing Feedback to Students in Absence of Formalized Domain Models.
In: AIED. 644-648. -
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2615701Zhu X, Schleif F-M, Hammer B (2013)PUB
Semi-Supervised Vector Quantization for proximity data.
In: Proceedings of ESANN 2013. 89-94. -
2013 | Konferenzbeitrag | PUB-ID: 2909359Nebel D, Hammer B, Villmann T (2013)PUB
A Median Variant of Generalized Learning Vector Quantization.
In: ICONIP (2). 19-26. -
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2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982106Gisbrecht A, Hofmann D, Hammer B (2012)PUB | DOI
Discriminative Dimensionality Reduction Mappings.
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: 2982107Hofmann D, Hammer B (2012)PUB | DOI
Kernel Robust Soft Learning Vector Quantization.
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: 2625232Gisbrecht A, Mokbel B, Schleif F-M, Zhu X, Hammer B (2012)PUB | DOI | WoS | PubMed | Europe PMC
Linear Time Relational Prototype Based Learning.
International Journal of Neural Systems 22(05): 1250021. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622449Schulz A, Gisbrecht A, Bunte K, Hammer B (2012)PUB
How to visualize a classifier?
In: Proceedings of the Workshop - New Challenges in Neural Computation 2012. Machine Learning Reports: 73-83. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625260Gisbrecht A, Lueks W, Mokbel B, Hammer B (2012)PUB
Out-of-sample kernel extensions for nonparametric dimensionality reduction.
In: ESANN 2012. 531-536. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625265Gisbrecht A, Sovilj D, Hammer B, Lendasse A (2012)PUB
Relevance learning for time series inspection.
In: ESANN 2012. Verleysen M (Ed); 489-494. -
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536426
Mokbel B, Gross S, Lux M, Pinkwart N, Hammer B (2012)PUB | PDF | DOI
How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?
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: 2671172Hofmann D, Gisbrecht A, Hammer B (2012)PUB
Discriminative probabilistic prototype based models in kernel space.
In: Workshop NC^2 2012. TR Machine Learning Reports. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625238Hofmann D, Gisbrecht A, Hammer B (2012)PUB
Efficient Approximations of Kernel Robust Soft LVQ.
In: WSOM. . -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625271Bouveyron C, Hammer B, Villmann T (2012)PUB
Recent developments in clustering algorithms.
In: ESANN 2012. Verleysen M (Ed); 447-458. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625276Gisbrecht A, Mokbel B, Hammer B (2012)PUB
Linear Basis-Function t-SNE for Fast Nonlinear Dimensionality Reduction.
In: IJCNN. . -
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625242Gross S, Mokbel B, Hammer B, Pinkwart N (2012)PUB
Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces.
In: DeLFI. 27-38. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625247Gisbrecht A, Hofmann D, Hammer B (2012)PUB
Discriminative Dimensionality Reduction Mappings.
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: 2625254Hofmann D, Hammer B (2012)PUB
Kernel Robust Soft Learning Vector Quantization.
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: 2615750Schleif F-M, Zhu X, Gisbrecht A, Hammer B (2012)PUB
Fast approximated relational and kernel clustering.
In: Proceedings of ICPR 2012. IEEE: 1229-1232. -
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536437
Gross S, Zhu X, Hammer B, Pinkwart N (2012)PUB | PDF | DOI | Download (ext.)
Cluster based feedback provision strategies in intelligent tutoring systems.
In: Proceedings of the 11th international conference on Intelligent Tutoring Systems. Berlin, Heidelberg: Springer-Verlag: 699-700. -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536444
Gross S, Mokbel B, Hammer B, Pinkwart N (2012)PUB | PDF
Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces.
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. -
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877Schleif F-M, Mokbel B, Gisbrecht A, Theunissen L, Dürr V, Hammer B (2012)PUB | DOI
Learning Relevant Time Points for Time-Series Data in the Life Sciences.
In: ICANN (2). Lecture Notes in Computer Science, 7553. Berlin, Heidelberg: Springer Berlin Heidelberg: 531-539. -
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2489405Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2012)PUB | DOI | WoS | PubMed | Europe PMC
Limited Rank Matrix Learning, discriminative dimension reduction and visualization.
Neural Networks 26: 159-173. -
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2012 | Konferenzbeitrag | PUB-ID: 2909356Mokbel B, Lueks W, Gisbrecht A, Biehl M, Hammer B (2012)PUB
Visualizing the quality of dimensionality reduction.
In: ESANN 2012. Verleysen M (Ed); 179--184. -
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534905Schleif F-M, Gisbrecht A, Hammer B (2012)PUB | DOI
Relevance learning for short high-dimensional time series in the life sciences.
In: IJCNN. IEEE Computational Intelligence Society, Institute of Electrical and Electronics Engineers (Eds); Piscataway, NJ: IEEE: 1-8. -
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X (2011)PUB | DOI
Topographic Mapping of Dissimilarity Data.
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: 2982112Hammer B, Schleif F-M, Zhu X (2011)PUB | DOI
Relational Extensions of Learning Vector Quantization.
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: 2982111Hammer B, Mokbel B, Schleif F-M, Zhu X (2011)PUB | DOI
Prototype-Based Classification of Dissimilarity Data.
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: 2982110Schleif F-M, Gisbrecht A, Hammer B (2011)PUB | DOI
Accelerating Kernel Neural Gas.
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: 2982109Hammer B, Biehl M, Bunte K, Mokbel B (2011)PUB | DOI
A General Framework for Dimensionality Reduction for Large Data Sets.
In: Advances in Self-Organizing Maps. Laaksonen J, Honkela T (Eds); Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg: 277-287. -
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276480Gisbrecht A, Schleif F-M, Zhu X, Hammer B (2011)PUB | DOI
Linear time heuristics for topographic mapping of dissimilarity data.
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: 2276485Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X (2011)PUB
Topographic Mapping of Dissimilarity Data.
In: WSOM'11. . -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276492Schleif F-M, Gisbrecht A, Hammer B (2011)PUB
Accelerating Kernel Neural Gas.
In: ICANN'2011. Kaski S, Honkela T, Gitolami M, Dutch W (Eds);. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276500Kaestner M, Hammer B, Biehl M, Villmann T (2011)PUB
Generalized Functional Relevance Learning Vector Quantization.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D side: pp. 93-98. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276512Hammer B, Biehl M, Bunte K, Mokbel B (2011)PUB
A general framework for dimensionality reduction for large data sets.
In: WSOM'11. . -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276517Bunte K, Biehl M, Hammer B (2011)PUB
Supervised dimension reduction mappings.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D side: pp. 281-286. -
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2309980Schleif F-M, Villmann T, Hammer B, Schneider P (2011)PUB | DOI | WoS | PubMed | Europe PMC
Efficient Kernelized Prototype-based Classification.
International Journal of Neural Systems 21(06): 443-457. -
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276522Gisbrecht A, Hammer B, Schleif F-M, Zhu X (2011)PUB
Accelerating dissimilarity clustering for biomedical data analysis.
In: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. pp.154-161. -
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2091665Zhu X, Hammer B (2011)PUB
Patch Affinity Propagation.
Presented at the 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium. -
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2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982117Gisbrecht A, Mokbel B, Hasenfuss A, Hammer B (2010)PUB | DOI
Visualizing Dissimilarity Data Using Generative Topographic Mapping.
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: 2982116Villmann T, Haase S, Schleif F-M, Hammer B, Biehl M (2010)PUB | DOI
The Mathematics of Divergence Based Online Learning in Vector Quantization.
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: 2982115Arnonkijpanich B, Hammer B (2010)PUB | DOI
Global Coordination Based on Matrix Neural Gas for Dynamic Texture Synthesis.
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. -
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276543Gisbrecht A, Mokbel B, Hammer B (2010)PUB
The Nystrom approximation for relational generative topographic mappings.
In: NIPS workshop on challenges of Data Visualization. . -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994127Villmann T, Haase S, Schleif F-M, Hammer B (2010)PUB | DOI
Divergence Based Online Learning in Vector Quantization.
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: 1796018Arnonkijpanich B, Hasenfuss A, Hammer B (2010)PUB | DOI | WoS | PubMed | Europe PMC
Local matrix learning in clustering and applications for manifold visualization.
Neural Networks 23(4): 476-486. -
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993273Arnonkijpanich B, Hammer B (2010)PUB
Global Coordination based on Matrix Neural Gas for Dynamic Texture Synthesis.
In: ANNPR'2010. Lecture Notes in Artificial Intelligence, 5998. El Gayar N, Schwenker F (Eds); Springer: 84-95. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993367Bunte K, Hammer B, Villmann T, Biehl M, Wismüller A (2010)PUB
Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization.
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: 1929672Witoelar AW, Ghosh A, de Vries JJG, Hammer B, Biehl M (2010)PUB | DOI | WoS | PubMed | Europe PMC
Window-Based Example Selection in Learning Vector Quantization.
Neural Computing 22(11): 2924-2961. -
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2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1794373Hammer B, Hasenfuss A (2010)PUB | DOI | WoS | PubMed | Europe PMC
Topographic Mapping of Large Dissimilarity Data Sets.
Neural Computation 22(9): 2229-2284. -
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1795962Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M (2010)PUB | DOI | WoS | PubMed | Europe PMC
Regularization in Matrix Relevance Learning.
IEEE Transactions on Neural Networks 21(5): 831-840. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993978Schleif F-M, Villmann T, Hammer B, Schneider P, Biehl M (2010)PUB | DOI
Generalized derivative based Kernelized learning vector quantization.
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. -
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993536Hammer B, Hasenfuss A (2010)PUB | DOI
Clustering very large dissimilarity data sets.
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: 2276535Hammer B, Hitzler P, Maass W, Toussaint M (Eds) (2010)PUB
Learning paradigms in dynamic environments, 25.07.10-30.07.20.; 10302.
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276547Mokbel B, Gisbrecht A, Hammer B (2010)PUB
On the effect of clustering on quality assessment measures for dimensionality reduction.
In: NIPS workshop on Challenges of Data Visualization. . -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993448Gisbrecht A, Hammer B (2010)PUB
Relevance learning in generative topographic maps.
In: ESANN'10. Verleysen M (Ed); Evere: D side: 387-392. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993452Gisbrecht A, Mokbel B, Hammer B (2010)PUB
Relational Generative Topographic Map.
In: ESANN'10. Verleysen M (Ed); Evere: D side: 277-282. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993457Gisbrecht A, Mokbel B, Hasenfuss A, Hammer B (2010)PUB
Visualizing Dissimilarity Data using generative topographic mapping.
In: KI'2010. Dillmann R, Beyerer J, Hanebeck UD, Schulz T (Eds); 227-237. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994138Villmann T, Haase S, Schleif F-M, Hammer B, Biehl M (2010)PUB
The Mathematics of Divergence Based Online Learning in Vector Quanitzation.
In: ANNPR'2010. El Gayar N, Schwenker F (Eds); Berlin, Heidelberg: Springer: 108-119. -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994227Villmann T, Schleif F-M, Hammer B (2010)PUB
Sparse representation of data.
In: ESANN'10. Verleysen M (Ed); D side: 225-234. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982118Villmann T, Hammer B (2009)PUB | DOI
Functional Principal Component Learning Using Oja’s Method and Sobolev Norms.
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: 1993679Hammer B, Schrauwen B, Steil JJ (2009)PUB
Recent advances in efficient learning of recurrent networks.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brugge: d-facto: 213-226. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993984Schleif F-M, Villmann T, Kostrzewa M, Hammer B, Gammerman A (2009)PUB | DOI | WoS | PubMed | Europe PMC
Cancer Informatics by Prototype-networks in Mass Spectrometry.
Artificial Intelligence in Medicine 45(2-3): 215-228. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994160Villmann T, Hammer B, Biehl M (2009)PUB | DOI
Some theoretical aspects of the neural gas vector quantizer.
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: 1994305Witolaer A, Biehl M, Hammer B (2009)PUB
Equilibrium properties of offline LVQ.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); d-side publications: 535-540. -
2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993326Biehl M, Hammer B, Schneider P, Villmann T (2009)PUB | DOI
Metric learning for prototype based classification.
In: Innovations in Neural Information – Paradigms and Applications. Bianchini M, Maggini M, Scarselli F (Eds); Studies in Computational Intelligence, 247, Berlin: Springer: 183-199. -
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993994Schneider P, Biehl M, Hammer B (2009)PUB
Hyperparameter Learning in robust soft LVQ.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); d-side publications: 517-522. -
2009 | Konferenzband | Veröffentlicht | PUB-ID: 1994310Biehl M, Hammer B, Hochreiter S, Kremer SC, Villmann T (Eds) (2009)PUB
Similarity-based learning on structures.; 9081.
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany. -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994008Schneider P, Biehl M, Hammer B (2009)PUB | DOI | WoS | PubMed | Europe PMC
Distance learning in discriminative vector quantization.
Neural Computation 21(10): 2942-2969. -
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993555Hammer B, Hasenfuss A, Rossi F (2009)PUB | DOI
Median topographic maps for biological data sets.
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: 1993316Biehl M, Hammer B, Schleif F-M, Schneider P, Villmann T (2009)PUB
Stationarity of Matrix Relevance Learning Vector Quantization. Machine Learning Reports.
Leipzig: Universität Leipzig. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993361Bunte K, Hammer B, Biehl M (2009)PUB | DOI
Nonlinear dimension reduction and visualization of labeled data.
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: 1993429Geweniger T, Zühlke D, Hammer B, Villmann T (2009)PUB
Median variant of fuzzy-c-means.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); Evere: d-side publications: 523-528. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993835Mokbel B, Hasenfuss A, Hammer B (2009)PUB | DOI
Graph-based Representation of Symbolic Musical Data.
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: 1994004Schneider P, Biehl M, Hammer B (2009)PUB | DOI | WoS | PubMed | Europe PMC
Adaptive relevance matrices in learning vector quantization.
Neural Computation 21(12): 3532-3561. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993356Bunte K, Biehl M, Hammer B (2009)PUB
Nonlinear discriminative data visualization.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); Evere: d-side publications: 65-70. -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994152Villmann T, Hammer B (2009)PUB
Functional principal component learning using Oja's method and Sobolev norms.
In: Advances in Self-Organizing Maps. Principe JC, Miikkulainen R (Eds); 325-333. -
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2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982119Arnonkijpanich B, Hammer B, Hasenfuss A, Lursinsap C (2008)PUB | DOI
Matrix Learning for Topographic Neural Maps.
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: 1993939Schleif F-M, Villmann T, Hammer B (2008)PUB
Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics.
In: Encyclopedia of Artificial Intelligence. Dopico JR-n R-al, Dorado J, Pazos A (Eds); IGI Global: 1337-1342. -
2008 | Konferenzband | Veröffentlicht | PUB-ID: 1994329de Raedt L, Hammer B, Hitzler P, Maass W (Eds) (2008)PUB
Recurrent Neural Networks - Models, Capacities, and Applications.; 8041.
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI). -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993282Arnonkijpanich B, Hammer B, Hasenfuss A, Lursinsap C (2008)PUB
Matrix Learning for Topographic Neural Maps.
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: 1993261Alex N, Hammer B (2008)PUB
Parallelizing single pass patch clustering.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); Evere, Belgium: d-side publications: 227-232. -
2008 | Report | Veröffentlicht | PUB-ID: 1993278Arnonkijpanich B, Hammer B, Hasenfuss A (2008)PUB
Local Matrix Adaptation in Topographic Neural Maps. IfI-08-07.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2008 | Report | Veröffentlicht | PUB-ID: 1993379Bunte K, Schneider P, Hammer B, Schleif F-M, Villmann T, Biehl M (2008)PUB
Discriminative Visualization by Limited Rank Matrix Learning. Machine Learning Reports.
Leipzig: Universität Leipzig. -
2008 | Report | Veröffentlicht | PUB-ID: 1994012Schneider P, Biehl M, Hammer B (2008)PUB
Matrix Adaptation in Discriminative Vector Quantization. IfI Technical Report Seriess.
Clausthal-Zellerfeld: Clausthal University of Technology. -
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993788Hasenfuss A, Hammer B (2008)PUB
Single Pass Clustering and Classification of Large Dissimilarity Datasets.
In: Artificial Intelligence and Pattern Recognition. Prasad B, Sinha P, Ram A, Kerre EE (Eds); ISRST: 219-223. -
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994072Strickert M, Schneider P, Keilwagen J, Villmann T, Biehl M, Hammer B (2008)PUB | DOI
Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics.
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: 1994089Strickert M, Sreenivasulu N, Villmann T, Hammer B (2008)PUB
Robust Centroid-Based Clustering using Derivatives of Pearson Correlation.
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: 1994281Winkler T, Drieseberg J, Hasenfuß A, Hammer B, Hormann K (2008)PUB
Thinning Mesh Animations.
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: 1993804Hasenfuss A, Hammer B, Rossi F (2008)PUB | DOI
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets.
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: 1993900Schleif F-M, Hammer B, Villmann T (2008)PUB | DOI
Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers.
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: 1993798Hasenfuss A, Hammer B, Geweniger T, Villmann T (2008)PUB
Magnification Control in Relational Neural Gas.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels: d-side publications: 325-330. -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994253Villmann T, Schleif F-M, Kostrzewa M, Walch A, Hammer B (2008)PUB | DOI | WoS | PubMed | Europe PMC
Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods.
Briefings in Bioinformatics 9(2): 129-143. -
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001836Geweniger T, Schleif F-M, Hasenfuss A, Hammer B, Villmann T (2008)PUB | DOI
Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity.
In: ICONIP 2008. Köppen M, Kasabov NK, Coghill GG (Eds); Berlin, Heidelberg: Springer: 61-69. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993848
Rossi F, Hasenfuß A, Hammer B (2007)PUB | PDF | DOI
Accelerating Relational Clustering Algorithms With Sparse Prototype Representation.
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994016
Schneider P, Biehl M, Schleif F-M, Hammer B (2007)PUB | PDF | DOI
Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data.
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994267
Villmann T, Schleif F-M, Merenyi E, Strickert M, Hammer B (2007)PUB | PDF | DOI
Class imaging of hyperspectral satellite remote sensing data using FLSOM.
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994295
Witoelar A, Biehl M, Hammer B (2007)PUB | PDF | DOI
Learning Vector Quantization: generalization ability and dynamics of competing prototypes.
In: Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University. -
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993782Hasenfuss A, Hammer B (2007)PUB | DOI
Relational topographic maps.
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: 1993922Schleif F-M, Hasenfuss A, Hammer B (2007)PUB
Aggregation of multiple peak lists by use of an improved neural gas network.
Leipzig: Universität Leipzig. -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993297Biehl M, Ghosh A, Hammer B (2007)PUB
Dynamics and generalization ability of LVQ algorithms.
Journal of Machine Learning Research 8: 323-360. -
2007 | Report | Veröffentlicht | PUB-ID: 1993533Hammer B, Hasenfuss A (2007)PUB
Relational topographic Maps. IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2007 | Report | Veröffentlicht | PUB-ID: 1993831Melato M, Hammer B, Hormann K (2007)PUB
Neural Gas for Surface Reconstruction. IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993970Schleif F-M, Villmann T, Hammer B (2007)PUB | DOI
Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-Maps.
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: 1993999Schneider P, Biehl M, Hammer B (2007)PUB
Relevance matrices in LVQ.
In: Proc. Of European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels, Belgium: d-side publications: 37-42. -
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2007 | Report | Veröffentlicht | PUB-ID: 1993334Blazewicz J, Ecker K, Hammer B (2007)PUB
ICOLE-2007, German-Polish Workshop on Computational Biology, Scheduling and Machine Learning. Lessach, Austria, 27.05.-02.06.2007.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993746Hammer B, Villmann T (2007)PUB
How to process uncertainty in machine learning.
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: 1993811Hasenfuss A, Hammer B, Schleif F-M, Villmann T (2007)PUB | DOI
Neural gas clustering for dissimilarity data with continuous prototypes.
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: 1994299Witolaer A, Biehl M, Ghosh A, Hammer B (2007)PUB
On the dynamics of vector quantization and neural gas.
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: 1994321Biehl M, Hammer B, Verleysen M, Villmann T (Eds) (2007)PUB
Similarity-based Clustering and its Application to Medicine and Biology.; 7131.
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI). -
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2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993630Hammer B, Micheli A, Sperduti A (2007)PUB | DOI
Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties.
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: 1993820Hasenfuss A, Hammer B, Schleif F-M, Villmann T (2007)PUB
Neural gas clustering for sparse proximity data.
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: 1993907Schleif F-M, Hammer B, Villmann T (2007)PUB | DOI
Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra.
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: 1994102Tino P, Hammer B, Boden M (2007)PUB | DOI
Markovian Bias of Neural-based Architectures With Feedback Connections.
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: 1994258Villmann T, Schleif F-M, Merenyi E, Hammer B (2007)PUB | DOI
Fuzzy Labeled Self Organizing Map for Clasification of Spectra.
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. -
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993895Schleif F-M, Hammer B, Villmann T (2006)PUB
Margin based Active Learning for LVQ Networks.
In: Proc. Of European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels, Belgium: d-side publications: 539-544. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994184Villmann T, Hammer B, Schleif F-M, Geweniger T, Fischer T, Cottrell M (2006)PUB
Prototype based classification using information theoretic learning.
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: 1994273Villmann T, Seiffert U, Schleif F-M, Brüß C, Geweniger T, Hammer B (2006)PUB | DOI
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes.
In: Proceedings of Conference Artificial Neural Networks in Pattern Recognition. Schwenker F (Ed); Berlin: Springer: 46-56. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993889Schleif F-M, Elssner T, Kostrzewa M, Villmann T, Hammer B (2006)PUB
Machine Learning and Soft-Computing in Bioinformatics. A Short Journey.
In: Proc. of FLINS 2006. World Scientific Press: 541-548. -
2006 | Report | Veröffentlicht | PUB-ID: 1993322Biehl M, Hammer B, Schneider P (2006)PUB
Matrix Learning in Learning Vector Quantization.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993391Cottrell M, Hammer B, Hasenfuss A, Villmann T (2006)PUB | DOI | WoS | PubMed | Europe PMC
Batch and Median Neural Gas.
Neural Networks 19(6-7): 762-771. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993568Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)PUB
Supervised median neural gas.
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: 1993594Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)PUB
Supervised median clustering.
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: 1993878Schleif F-M, Elssner T, Kostrzewa M, Villmann T, Hammer B (2006)PUB | DOI
Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing Maps.
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: 1994028Seiffert U, Hammer B, Kaski S, Villmann T (2006)PUB
Neural Networks and Machine Learning in Bioinformatics - Theory and Applications.
In: Proc. Of European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels, Belgium: d-side publications: 521-532. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994201Villmann T, Hammer B, Seiffert U (2006)PUB | DOI
Perspectives of Self-adapted Self-organizing Clustering in Organic Computing.
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: 1994237Villmann T, Schleif F-M, Hammer B (2006)PUB | DOI | WoS | PubMed | Europe PMC
Comparison of relevance learning vector quantization with other metric adaptive classification methods.
Neural Networks 19(5): 610-622. -
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993440Ghosh A, Biehl M, Hammer B (2006)PUB | DOI | WoS | PubMed | Europe PMC
Performance analysis of LVQ algorithms: a statistical physics approach.
Neural Networks 19(6-7): 817-829. -
2006 | Report | Veröffentlicht | PUB-ID: 1993584Hammer B, Hasenfuss A, Schleif F-M, Villmann T (2006)PUB
Supervised median clustering. IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993611Hammer B, Hasenfuss A, Villmann T (2006)PUB
Magnification Control for Batch Neural Gas.
In: Proc. Of European Symposium on Artificial Neural Networks. Verleysen M (Ed); Brussels: d-side publications: 7-12. -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993659Hammer B, Neubauer N (2006)PUB
On the capacity of unsupervised recursive neural networks for symbol processing.
In: Workshop proceedings of NeSy'06. d'Avila Garcez A, Hitzler P, Tamburrini G (Eds);. -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993762Hammer B, Villmann T (2006)PUB
Effizient Klassifizieren und Clustern: Lernparadigmen von Vektorquantisierern.
Künstliche Intelligenz 3(6): 5-11. -
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994195Villmann T, Hammer B, Schleif F-M, Geweniger T, Herrmann W (2006)PUB | DOI | WoS | PubMed | Europe PMC
Fuzzy Classification by Fuzzy Labeled Neural Gas.
Neural Networks 19(6-7): 772-779. -
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017225Hammer B, Villmann T, Schleif F-M, Albani C, Hermann W (2006)PUB | DOI
Learning vector quantization classification with local relevance determination for medical data.
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. -
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2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993624Hammer B, Micheli A, Neubauer N, Sperduti A, Strickert M (2005)PUB
Self Organizing Maps for Time Series.
In: Proceedings of WSOM 2005. 115-122. -
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2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994172Villmann T, Hammer B, Schleif F-M, Geweniger T (2005)PUB
Fuzzy Labeled Neural GAS for Fuzzy Classification.
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: 1993305Biehl M, Gosh A, Hammer B (2005)PUB
The dynamics of Learning Vector Quantization.
In: ESANN'05. Verleysen M (Ed); Evere: d-side publishing: 13-18. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993386Cottrell M, Hammer B, Hasenfuss A, Villmann T (2005)PUB
Batch NG.
In: Proceedings of WSOM 2005. 275-282. -
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2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993444Ghosh A, Biehl M, Hammer B (2005)PUB
Dynamical Analysis of LVQ type learning rules.
In: Proceedings of WSOM. 578-594. -
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2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993665Hammer B, Rechtien A, Strickert M, Villmann V (2005)PUB
Relevance learning for mental disease classification.
In: ESANN'05. Verleysen M (Ed); d-side publishing: 139-144. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994118Tluk von Toschanowitz K, Hammer B, Ritter H (2005)PUB
Relevance determination in reinforcement learning.
In: ESANN'05. Verleysen M (Ed); d-side publishing: 369-374. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994219Villmann T, Schleif F-M, Hammer B (2005)PUB
Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization.
In: International Workshop on Integrative Bioinformatics. . -
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2005 | Report | Veröffentlicht | PUB-ID: 1993675Hammer B, Schleif F-M, Villmann T (2005)PUB
On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination. IfI Technical reports.
Clausthal-Zellerfeld: Clausthal University of Technology. -
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2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993671Hammer B, Saunders C, Sperduti A (2005)PUB | DOI | WoS | PubMed | Europe PMC
Special issue on neural networks and kernel methods for structured domains.
Neural Networks 18(8): 1015-1018. -
2005 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993710Hammer B, Strickert M, Villmann T (2005)PUB
Prototype based recognition of splice sites.
In: Bioinformatics using computational intelligence paradigms. Seiffert U, Jain LC, Schweitzer P (Eds); Berlin: Springer: 25-55. -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993974Schleif F-M, Villmann T, Hammer B (2005)PUB | DOI
Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data.
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: 1994249Villmann T, Schleif F-M, Hammer B (2005)PUB
Fuzzy labeled soft nearest neighbor classification with relevance learning.
In: Proceedings of the International Conference of Machine Learning Applications. Wani MA, Cios KJ, Hafeez K (Eds); Los Angeles: IEEE Press: 11-15. -
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2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993750Hammer B, Villmann T (2005)PUB
Classification using non standard metrics.
In: ESANN'05. Verleysen M (Ed); Brussels: d-side publishing: 303-316. -
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2004 | Report | Veröffentlicht | PUB-ID: 1993732Hammer B, Tino P, Micheli A (2004)PUB
A mathematical characterization of the architectural bias of recursive models. Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994168Villmann T, Hammer B, Schleif F-M (2004)PUB
Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection.
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: 1994111Tluk von Toschanowitz K, Hammer B, Ritter H (2004)PUB
Mapping the Design Space of Reinforcement Learning Problems - a Case Study.
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: 1994212Villmann T, Schleif F-M, Hammer B (2004)PUB
Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection.
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: 1993620Hammer B, Jain BJ (2004)PUB
Neural methods for non-standard data.
In: European Symposium on Artificial Neural Networks'2004. Verleysen M (Ed); D-side publications: 281-292. -
2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993649Hammer B, Micheli A, Sperduti A, Strickert M (2004)PUB | DOI | WoS | PubMed | Europe PMC
Recursive self-organizing network models.
Neural Networks 17(8-9): 1061-1085. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993702Hammer B, Strickert M, Villmann T (2004)PUB
Relevance LVQ versus SVM.
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: 1993419Gersmann K, Hammer B (2004)PUB
A reinforcement learning algorithm to improve scheduling search heuristics with the SVM.
In: IJCNN. . -
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2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993870Schleif F-M, Clauss U, Villmann T, Hammer B (2004)PUB
Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric Data.
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: 1994049Strickert M, Hammer B (2004)PUB
Self-organizing context learning.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D-side publications: 39-44. -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994099Tino P, Hammer B (2004)PUB
On early stages of learning in connectionist models with feedback connections.
In: Compositional Connectionism in Cognitive Science. . -
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2003 | Report | Veröffentlicht | PUB-ID: 1993725Hammer B, Strickert M, Villmann T (2003)PUB
On the generalization ability of GRLVQ. Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994108Tiño P, Hammer B (2003)PUB
Architectural Bias in Recurrent Neural Networks: Fractal Analysis.
Neural Computation 15(8): 1931-1957. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994223Villmann T, Schleif F-M, Hammer B (2003)PUB
Supervised Neural Gas and Relevance Learning in Learning Vector Quantization.
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: 1993338Bojer T, Hammer B, Koeers C (2003)PUB
Monitoring technical systems with prototype based clustering.
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: 1993530Hammer B, Gersmann K (2003)PUB
A Note on the Universal Approximation Capability of Support Vector Machines.
Neural Processing Letters 17(1): 43-53. -
2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993487Hammer B (2003)PUB
Perspectives on learning symbolic data with connectionistic systems.
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: 1993754Hammer B, Villmann T (2003)PUB
Mathematical Aspects of Neural Networks.
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: 1994053Strickert M, Hammer B (2003)PUB
Unsupervised recursive sequence processing.
In: 10th European Symposium on Artificial Neural Networks. Proceedings. Verleysen M (Ed); D-side publication: 27-32. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994060Strickert M, Hammer B (2003)PUB
Neural Gas for Sequences.
In: WSOM'03. 53-57. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993412Gersmann K, Hammer B (2003)PUB
Improving iterative repair strategies for scheduling with the SVM.
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: 1993645Hammer B, Micheli a., Sperduti A (2003)PUB
A general framework for self-organizing structure processing neural networks.
Pisa: Universita di Pisa, Dipartimento die Informatica. -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993349Bojer T, Hammer B, Strickert M, Villmann T (2003)PUB
Determining Relevant Input Dimensions for the Self-Organizing Map.
In: Neural Networks and Soft Computing (Proc. ICNNSC 2002). Rutkowski L, Kacprzyk J (Eds); Physica-Verlag: 388-393. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993736Hammer B, Tiño P (2003)PUB
Recurrent Neural Networks with Small Weights Implement Definite Memory Machines.
Neural Computation 15(8): 1897-1929. -
2003 | Report | Veröffentlicht | PUB-ID: 1994157Villmann T, Hammer B (2003)PUB
Metric adaptation and relevance learning in learning vector quantization. Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994208Villmann T, Merényi E, Hammer B (2003)PUB
Neural maps in remote sensing image analysis.
Neural Networks 16(3-4): 389-403. -
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2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993636Hammer B, Micheli A, Sperduti A (2002)PUB
A general framework for unsupervised processing of structured data.
In: ESANN 2002, 10th European Symposium on Artificial Neural Network. Proceedings. Verleysen M (Ed); De-side publication: 389-394. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994095Tino P, Hammer B (2002)PUB
Architectural bias in recurrent neural networks – fractal analysis.
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: 1994146Villmann T, Hammer B (2002)PUB
Supervised Neural Gas for Learning Vector Quantization.
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: 1993688Hammer B, Steil JJ (2002)PUB
Perspectives on Learning with Recurrent Neural Networks.
In: Proc. European Symposium Artificial Neural Networks. Verleysen M (Ed); D-side publication: 357-368. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993758Hammer B, Villmann T (2002)PUB
Batch-GRLVQ.
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: 1993765Hammer B, Villmann T (2002)PUB
Generalized Relevance Learning Vector Quantization.
Neural Networks 15(8-9): 1059-1068. -
2002 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993471Hammer B (2002)PUB
Compositionality in Neural Systems.
In: Handbook of Brain Theory and Neural Networks. Arbib M (Ed); 2nd. MIT Press: 244-248. -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993508Hammer B (2002)PUB
Recurrent neural networks for structured data – a unifying approach and its properties.
Cognitive Systems Research 3(2): 145-165. -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993692Hammer B, Strickert M, Villmann T (2002)PUB
Learning Vector Quantization for Multimodal Data.
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: 1993697Hammer B, Strickert M, Villmann T (2002)PUB
Rule Extraction from Self-Organizing Networks.
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: 1993729Hammer B, Tino P (2002)PUB
Neural networks with small weights implement finite memory machines. Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982130Hammer B (2001)PUB | DOI
On the Generalization Ability of Recurrent Networks.
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: 2982129Strickert M, Bojer T, Hammer B (2001)PUB | DOI
Generalized Relevance LVQ for Time Series.
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. -
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2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993768Hammer B, Villmann T (2001)PUB
Input Pruning for Neural Gas Architectures.
In: Proc. Of European Symposium on Artificial Neural Networks (ESANN'2001). Brussels, Belgium: D facto publications: 283-288. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993343Bojer T, Hammer B, Schunk D, Tluk von Toschanowitz K (2001)PUB
Relevance determination in learning vector quantization.
In: ESANN'2001. Verleysen M (Ed); D-facto publications: 271-276. -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994123Vidyasagar M, Balaji S, Hammer B (2001)PUB
Closure properties of uniform convergence of empirical means and PAC learnability under a family of probability measures.
System and Control Letters 42: 151-157. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993474Hammer B (2001)PUB
On the Generalization Ability of Recurrent Networks.
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: 1993739Hammer B, Villmann T (2001)PUB
Estimating Relevant Input Dimensions for Self-Organizing Algorithms.
In: Advances in Self-Organising Maps. Allinson NM, Yin H, Allinson L, Slack J (Eds); London: Springer: 173-180. -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994042Strickert M, Bojer T, Hammer B (2001)PUB
Generalized Relevance LVQ for Time Series.
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: 1993510Hammer B (2001)PUB
Generalization Ability of Folding Networks.
IEEE Trans. Knowl. Data Eng. 13(2): 196-206. -
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2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993499Hammer B (2000)PUB
Limitations of hybrid systems.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D-facto publications: 213-218. -
2000 | Monographie | Veröffentlicht | PUB-ID: 1993514Hammer B (2000)PUB
Learning with Recurrent Neural Networks. Lecture Notes in Control and Information Sciences, 254.
Berlin: Springer. -
2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993512Hammer B (2000)PUB
On the approximation capability of recurrent neural networks.
Neurocomputing 31(1-4): 107-123. -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993400DasGupta B, Hammer B (2000)PUB
On Approximate Learning by Multi-layered Feedforward Circuits.
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: 1993479Hammer B (2000)PUB
Approximation and generalization issues of recurrent networks dealing with structured data.
In: ECAI workshop: Foundations of connectionist-symbolic integration: representation, paradigms, and algorithms. Frasconi P, Sperduti A, Gori M (Eds);. -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993495Hammer B (2000)PUB
Neural networks classifying symbolic data.
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: 1993516Hammer B (1999)PUB
On the learnability of recursive data.
Mathematics of Control, Signals and Systems 12: 62-79. -
1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993502Hammer B (1999)PUB
Approximation capabilities of folding networks.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D-facto publications: 33-38. -
1999 | Report | Veröffentlicht | PUB-ID: 1993409DasGupta B, Hammer B (1999)PUB
Hardness of approximation of the loading problem for multi-layered feedforward neural networks.
DIMACS Center, Rutgers University. -
1998 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993484Hammer B (1998)PUB
On the Approximation Capability of Recurrent Neural Networks.
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: 1993505Hammer B (1998)PUB
Training a sigmoidal network is difficult.
In: European Symposium on Artificial Neural Networks. Verleysen M (Ed); D-facto publications: 255-260. -
1998 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993518Hammer B (1998)PUB
Some complexity results for perceptron networks.
In: International Conference on artificial Neural Networks. 639-644. -
1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993526Hammer B (1997)PUB
Generalization of Elman Networks.
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: 1993684Hammer B, Sperschneider V (1997)PUB
Neural networks can approximate mappings on structured objects.
In: International conference on Computational Intelligence and Neural Networks. Wang PP (Ed); 211-214. -
1997 | Report | Veröffentlicht | PUB-ID: 1993524Hammer B (1997)PUB
On the generalization ability of simple recurrent neural networks. Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
1997 | Report | Veröffentlicht | PUB-ID: 1993520Hammer B (1997)PUB
Learning recursive data is intractable. Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
1997 | Report | Veröffentlicht | PUB-ID: 1993522Hammer B (1997)PUB
A NP-hardness result for a sigmoidal 3-node neural network. Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
1996 | Report | Veröffentlicht | PUB-ID: 1993528Hammer B (1996)PUB
Universal approximation of mappings on structured objects using the folding architecture. Osnabrücker Schriften zur Mathematik.
Osnabrück: Universität Osnabrück. -
1996 | Monographie | Veröffentlicht | PUB-ID: 1994039Sperschneider V, Hammer B (1996)PUB
Theoretische Informatik. Eine problemorientierte Einführung.
erlin: Springer.