551 Publikationen
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2025 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 3001606Towards Reliable Drift Detection and Explanation in Text DataPUB | DOI | WoS
Feldhans, Robert, Towards Reliable Drift Detection and Explanation in Text Data. Intelligent Data Engineering and Automated Learning – IDEAL 2024, PT I 15346 (). Cham, 2025 -
2025 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 3001658Development of a digital twin for data-driven modeling of punch-bending processes using a graphical modeling notationPUB | DOI | WoS
Peters, Henning, Development of a digital twin for data-driven modeling of punch-bending processes using a graphical modeling notation. at - Automatisierungstechnik 73 (3). , 2025 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2989164FashionFail: Addressing Failure Cases in Fashion Object Detection and SegmentationPUB | DOI | WoS | arXiv
Velioglu, Riza, FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation. 2024 International Joint Conference on Neural Networks (IJCNN) (). New York, 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 3001615Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Benard ConvectionPUB | DOI | WoS
Markmann, Thorben, Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Benard Convection. 2024 International Joint Conference on Neural Networks (IJCNN) (). New York, 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 3001626Federated Loss Exploration for Improved Convergence on Non-IID DataPUB | DOI | WoS
Internò, Christian, Federated Loss Exploration for Improved Convergence on Non-IID Data. 2024 International Joint Conference on Neural Networks (IJCNN) (). New York, 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993740Localizing of Anomalies in Critical Infrastructure using Model-Based Drift ExplanationsPUB | DOI | WoS
Vaquet, Valerie, Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations. 2024 International Joint Conference on Neural Networks (IJCNN) (). , 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992441The SAME score: Improved cosine based measure for semantic biasPUB | DOI | WoS
Schroeder, Sarah, The SAME score: Improved cosine based measure for semantic bias. 2024 International Joint Conference on Neural Networks (IJCNN) (). , 2024 -
2024 | Konferenzbeitrag | PUB-ID: 3000176KernelSHAP-IQ: Weighted Least Square Optimization for Shapley InteractionsPUB
Fumagalli, Fabian, KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. Proceedings of the 41st International Conference on Machine Learning 235 (). , 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993714
Visualizing and Improving 3D Mesh Segmentation with DeepViewPUB | PDF | DOI | Download (ext.)
Mazur, Andreas, Visualizing and Improving 3D Mesh Segmentation with DeepView. ESANN 2024 proceedings (). Louvain-la-Neuve (Belgium), 2024 -
2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2993739Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution NetworksPUB | DOI | WoS
Vaquet, Valerie, Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks. Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX (). Cham, 2024 -
2024 | Preprint | PUB-ID: 2999454TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion ModelsPUB | arXiv
Velioglu, Riza, TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models. arXiv:2411.18350 (). , 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2994141Similarity-Based Zero-Shot Domain Adaptation for WearablesPUB | DOI
Vieth, Markus, Similarity-Based Zero-Shot Domain Adaptation for Wearables. ESANN 2024 proceedings (). Louvain-la-Neuve (Belgium), 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2994158Explaining Neural Networks - Deep and ShallowPUB | DOI | WoS
Hammer, Barbara, Explaining Neural Networks - Deep and Shallow. Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond (WSOM+ 2024) 1087 (). Cham, 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2991394SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through StratificationPUB | WoS | arXiv
Kolpaczki, Patrick, SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain 238 (). San Diego, 2024 -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2994227EPyT-Flow: A Toolkit for Generating Water DistributionNetwork DataPUB | DOI
Artelt, André, EPyT-Flow: A Toolkit for Generating Water DistributionNetwork Data. Journal of Open Source Software 9 (103). , 2024 -
2024 | Konferenzbeitrag | PUB-ID: 2992095FairGLVQ: Fairness in Partition-Based ClassificationPUB | DOI | Download (ext.) | WoS
Störck, Felix, FairGLVQ: Fairness in Partition-Based Classification. Proceedings of the 15th International Workshop on Self-Organizing Maps (WSOM 2024) (). Cham, 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993721Novel approach for data-driven modelling of multi-stage straightening and bending processesPUB | DOI
Peters, Henning, Novel approach for data-driven modelling of multi-stage straightening and bending processes. Material Forming: ESAFORM 2024 41 (). , 2024 -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2993652Image restoration in frequency space using complex-valued CNNsPUB | DOI | WoS | PubMed | Europe PMC
Shah, Zafran Hussain, Image restoration in frequency space using complex-valued CNNs. Frontiers in Artificial Intelligence 7 (). , 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993852Noise Robust One-Class Intrusion Detection on Dynamic GraphsPUB | DOI
Liuliakov, Aleksei, Noise Robust One-Class Intrusion Detection on Dynamic Graphs. ESANN 2024 proceedings (). Louvain-la-Neuve (Belgium), 2024 -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2991468
One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept driftPUB | PDF | DOI | WoS | PubMed | Europe PMC
Hinder, Fabian, 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 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993744Self-Supervised Learning from Incrementally Drifting Data StreamsPUB | DOI
Vaquet, Valerie, Self-Supervised Learning from Incrementally Drifting Data Streams. ESANN 2024 proceesdings (). Louvain-la-Neuve (Belgium), 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993743On the Fine Structure of Drifting FeaturesPUB | DOI
Hinder, Fabian, On the Fine Structure of Drifting Features. ESANN 2024 proceesdings (). Louvain-la-Neuve (Belgium), 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993741Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic UncertaintyPUB | DOI
Brinkrolf, Johannes, Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty. ESANN 2024 proceesdings (). Louvain-la-Neuve (Belgium), 2024 -
2024 | Report | Veröffentlicht | PUB-ID: 2992602
Sustainable Life-Cycle of Intelligent Socio-Technical SystemsPUB | Dateien verfügbar | DOI
Hammer, Barbara, Sustainable Life-Cycle of Intelligent Socio-Technical Systems. (). , 2024 -
2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2988509A Remark on Concept Drift for Dependent DataPUB | DOI | WoS
Hinder, Fabian, A Remark on Concept Drift for Dependent Data. Advances in Intelligent Data Analysis XXII. 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part I (). Cham, 2024 -
2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2992700Fairness in KI-SystemenPUB | DOI | arXiv
Strotherm, Janine, Fairness in KI-Systemen. Vertrauen in Künstliche Intelligenz. Eine multi-perspektivische Betrachtung (). Wiesbaden, 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992337
A Water Futures Approach on Water Demand Forecasting with Online Ensemble LearningPUB | PDF | DOI
Zanutto, Dennis, A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning. The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024) (). Basel Switzerland, 2024 -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2991444Feature-based analyses of concept driftPUB | DOI | WoS
Hinder, Fabian, Feature-based analyses of concept drift. Neurocomputing 600 (). , 2024 -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2991310
One or two things we know about concept drift-a survey on monitoring in evolving environments. Part A: detecting concept driftPUB | PDF | DOI | WoS | PubMed | Europe PMC
Hinder, Fabian, 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 (). , 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572Semantic Properties of Cosine Based Bias Scores for Word EmbeddingsPUB | DOI
Schroeder, Sarah, Semantic Properties of Cosine Based Bias Scores for Word Embeddings. Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1 (). Setúbal, Portugal, 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987573Predicting the Level of Co-Activation of One Muscle Head from the Other Muscle Head of the Biceps Brachii Muscle by Linear Regression and Shallow Feedforward Neural NetworksPUB | DOI
Grimmelsmann, Nils, 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. Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (). Setúbal, Portugal, 2024 -
2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988165Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree EnsemblesPUB | DOI
Muschalik, Maximilian, Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. Proceedings of the AAAI Conference on Artificial Intelligence 38 (13). , 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2988098Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution NetworksPUB | DOI
Vaquet, Valerie, Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods ICPRAM. Volume 1 (). , 2024 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984049Spatial Graph Convolution Neural Networks for Water Distribution SystemsPUB | DOI
Ashraf, Muhammad Inaam, Spatial Graph Convolution Neural Networks for Water Distribution Systems. Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings (). Cham, 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983942iPDP: On Partial Dependence Plots in Dynamic Modeling ScenariosPUB | DOI | WoS
Muschalik, Maximilian, iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I (). Cham, 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983795For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAIPUB | DOI | WoS
Kuhl, Ulrike, For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAI. Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part III (). Cham, 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987580SHAP-IQ: Unified Approximation of any-order Shapley InteractionsPUB | Download (ext.) | WoS | arXiv
Fumagalli, Fabian, SHAP-IQ: Unified Approximation of any-order Shapley Interactions. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (). , 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980429
Metric Learning with Self-Adjusting Memory for Explaining Feature DriftPUB | PDF | DOI
Kummert, Johannes, Metric Learning with Self-Adjusting Memory for Explaining Feature Drift. SN Computer Science 4 (4). , 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979703AutoML technologies for the identification of sparse classification and outlier detection modelsPUB | DOI | WoS
Liuliakov, Aleksei, AutoML technologies for the identification of sparse classification and outlier detection models. Applied Soft Computing 133 (). , 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979026Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data StreamsPUB | DOI | WoS
Jakob, Jonathan, Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams. Applied Artificial Intelligence 37 (1). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985684Generating Cardiovascular Data to Improve Training of Assistive Heart DevicesPUB | DOI
Kummert, Johannes, Generating Cardiovascular Data to Improve Training of Assistive Heart Devices. 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (). , 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969734
Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learningPUB | PDF | DOI | Download (ext.) | WoS | arXiv
Kuhl, Ulrike, 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 (). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985683Data Augmentation for Cardiovascular Time Series Data Using WaveNetPUB | DOI
Feldhans, Robert, Data Augmentation for Cardiovascular Time Series Data Using WaveNet. 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980971Fairness-Enhancing Ensemble Classification in Water Distribution NetworksPUB | DOI | Download (ext.)
Strotherm, Janine, Fairness-Enhancing Ensemble Classification in Water Distribution Networks. (). , 2023 -
2023 | Konferenzbeitrag | Angenommen | PUB-ID: 2982899
Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor ShiftsPUB | PDF
Vaquet, Valerie, Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts. (). , 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2977934On the Change of Decision Boundary and Loss in Learning with Concept DriftPUB | DOI
Hinder, Fabian, On the Change of Decision Boundary and Loss in Learning with Concept Drift. Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings 13876 (). Cham, 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982167On the Hardness and Necessity of Supervised Concept Drift DetectionPUB | DOI
Hinder, Fabian, On the Hardness and Necessity of Supervised Concept Drift Detection. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods ICPRAM. Vol. 1 (). Setúbal, 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969381So Can We Use Intrinsic Bias Measures or Not?PUB | DOI
Schroeder, Sarah, So Can We Use Intrinsic Bias Measures or Not?. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (). Setúbal, Portugal, 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969382Debiasing Sentence Embedders Through Contrastive Word PairsPUB | DOI
Kenneweg, Philip, Debiasing Sentence Embedders Through Contrastive Word Pairs. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (). Setúbal, Portugal, 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969383"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality ReductionPUB | DOI | arXiv
Artelt, André, "Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (). Setúbal, Portugal, 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983756On Feature Removal for Explainability in Dynamic EnvironmentsPUB | DOI
Fumagalli, Fabian, On Feature Removal for Explainability in Dynamic Environments. ESANN 2023 proceedings (). , 2023 -
2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983727Incremental permutation feature importance (iPFI): towards online explanations on data streamsPUB | DOI | WoS
Fumagalli, Fabian, Incremental permutation feature importance (iPFI): towards online explanations on data streams. Machine Learning (). , 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983250Extending Drift Detection Methods to Identify When Exactly the Change HappenedPUB | DOI
Vieth, Markus, Extending Drift Detection Methods to Identify When Exactly the Change Happened. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I (). Cham, 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983455One-Class Intrusion Detection with Dynamic GraphsPUB | DOI
Liuliakov, Aleksei, One-Class Intrusion Detection with Dynamic Graphs. 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 (). Cham, 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983943iSAGE: An Incremental Version of SAGE for Online Explanation on Data StreamsPUB | DOI
Muschalik, Maximilian, iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part III (). Cham, 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981289Model-based explanations of concept driftPUB | DOI | Download (ext.) | WoS
Hinder, Fabian, Model-based explanations of concept drift. Neurocomputing (). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985571Unsupervised Unlearning of Concept Drift with AutoencodersPUB | DOI
Artelt, André, Unsupervised Unlearning of Concept Drift with Autoencoders. 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982830Feature Selection for Concept Drift DetectionPUB
Hinder, Fabian, Feature Selection for Concept Drift Detection. ESANN 2023 Proceedings (). , 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983759Behavioral Economics and Neuroeconomics of Environmental ValuesPUB | DOI | Download (ext.) | WoS
Koundouri, Phoebe, Behavioral Economics and Neuroeconomics of Environmental Values. Annual Review of Resource Economics 15 (1). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984048Best of both, Structured and Unstructured Sparsity in Neural NetworksPUB | DOI
Schulte-Schüren, Christopher, Best of both, Structured and Unstructured Sparsity in Neural Networks. Proceedings of the 3rd Workshop on Machine Learning and Systems (). New York, NY, USA, 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984047Faster Convergence for Transformer Fine-tuning with Line Search MethodsPUB | DOI
Kenneweg, Philip, Faster Convergence for Transformer Fine-tuning with Line Search Methods. 2023 International Joint Conference on Neural Networks (IJCNN) (). , 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983728"I do not know! but why?"- Local model-agnostic example-based explanations of rejectPUB | DOI | WoS
Artelt, André, "I do not know! but why?"- Local model-agnostic example-based explanations of reject. Neurocomputing 558 (). , 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983457Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness EvaluationPUB | DOI
Schroeder, Sarah, Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I (). Cham, 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983406Adversarial Attacks on Leakage Detectors in Water Distribution NetworksPUB | DOI | Preprint
Stahlhofen, Paul, Adversarial Attacks on Leakage Detectors in Water Distribution Networks. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II (). Cham, 2023 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2978162
Unsupervised Cyclic Siamese Networks Automating Cell Imagery AnalysisPUB | PDF | DOI | WoS
Stallmann, Dominik, Unsupervised Cyclic Siamese Networks Automating Cell Imagery Analysis. Algorithms 16 (4). , 2023 -
2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2968921Modularity in Nervous Systems-a Key to Efficient Adaptivity for Deep Reinforcement LearningPUB | DOI | WoS
Schilling, Malte, Modularity in Nervous Systems-a Key to Efficient Adaptivity for Deep Reinforcement Learning. Cognitive Computation (). , 2023 -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962746
Contrasting Explanations for Understanding and Regularizing Model AdaptationsPUB | PDF | DOI | Download (ext.) | WoS
Artelt, André, Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Processing Letters 55 (). , 2022 -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2967683
Novel transfer learning schemes based on Siamese networks and synthetic dataPUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
Kenneweg, Philip, Novel transfer learning schemes based on Siamese networks and synthetic data. Neural Computing and Applications 35 (). , 2022 -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982135Reject Options for Incremental Regression ScenariosPUB | DOI
Jakob, Jonathan, Reject Options for Incremental Regression Scenarios. Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV (). Cham, 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969736Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract SettingPUB | DOI | Download (ext.)
Kuhl, Ulrike, Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. 2022 ACM Conference on Fairness, Accountability, and Transparency (). New York, NY, USA, 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969235Stream-Based Active Learning with Verification Latency in Non-stationary EnvironmentsPUB | DOI | Download (ext.)
Castellani, Andrea, Stream-Based Active Learning with Verification Latency in Non-stationary Environments. Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV 13532 (). Cham, 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969461“Even if …” – Diverse Semifactual Explanations of RejectPUB | DOI
Artelt, André, “Even if …” – Diverse Semifactual Explanations of Reject. 2022 IEEE Symposium Series on Computational Intelligence (SSCI) (). Piscataway, NJ, 2022 -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296Explainable Artificial Intelligence for Improved Modeling of ProcessesPUB | DOI
Velioglu, Riza, Explainable Artificial Intelligence for Improved Modeling of Processes. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings 13756 (). Cham, 2022 -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2969459SAM-kNN Regressor for Online Learning in Water Distribution NetworksPUB | DOI
Jakob, Jonathan, SAM-kNN Regressor for Online Learning in Water Distribution Networks. Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part III 13531 (). Cham, 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969460Explaining Reject Options of Learning Vector Quantization ClassifiersPUB | DOI
Artelt, André, Explaining Reject Options of Learning Vector Quantization Classifiers. Proceedings of the 14th International Joint Conference on Computational Intelligence (). , 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088Localization of Concept Drift: Identifying the Drifting DatapointsPUB | DOI | Download (ext.)
Hinder, Fabian, Localization of Concept Drift: Identifying the Drifting Datapoints. 2022 International Joint Conference on Neural Networks (IJCNN) (). , 2022 -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967410Efficient Sensor Selection for Individualized Prediction Based on BiosignalsPUB | DOI | Download (ext.)
Vieth, Markus, Efficient Sensor Selection for Individualized Prediction Based on Biosignals. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings 13756 (). Cham, 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966600Neural Architecture Search for Sentence Classification with BERTPUB | DOI
Kenneweg, Philip, Neural Architecture Search for Sentence Classification with BERT. ESANN 2022 proceedings (). Louvain-la-Neuve (Belgium), 2022 -
2022 | Konferenzbeitrag | Angenommen | PUB-ID: 2964534Federated learning vector quantization for dealing with drift between nodesPUB
Vaquet, Valerie, Federated learning vector quantization for dealing with drift between nodes. (). , 2022 -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2964421Agnostic Explanation of Model Change based on Feature ImportancePUB | DOI | Download (ext.) | WoS
Muschalik, Maximilian, Agnostic Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz (). , 2022 -
2022 | Report | Veröffentlicht | PUB-ID: 2965286Faire Algorithmen und die Fairness von Erklärungen: Informatische, rechtliche und ethische PerspektivenPUB | DOI | Download (ext.)
Artelt, André, Faire Algorithmen und die Fairness von Erklärungen: Informatische, rechtliche und ethische Perspektiven. (). , 2022 -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962928Investigating Intensity and Transversal Drift in Hyperspectral Imaging DataPUB | DOI | WoS
Vaquet, Valerie, Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. Neurocomputing (). , 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962650
Taking care of our drinking water: Dealing with Sensor Faults in Water Distribution NetworksPUB | PDF
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2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861Localization of Concept Drift: Identifying the Drifting DatapointsPUB
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2022 | Preprint | PUB-ID: 2962919
One Explanation to Rule them All — Ensemble Consistent ExplanationsPUB | PDF | Download (ext.) | arXiv
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967096Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in TransformersPUB | DOI
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987492Long-Term Transitioning of Water Distribution Systems: ERC Water-Futures ProjectPUB | DOI
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2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984050Suitability of Different Metric Choices for Concept Drift DetectionPUB | DOI
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2022 | Zeitschriftenaufsatz | PUB-ID: 2978998Reservoir Memory Machines as Neural ComputersPUB | DOI | Download (ext.) | arXiv
Paaßen, Benjamin, Reservoir Memory Machines as Neural Computers. IEEE Transactions on Neural Networks and Learning Systems 33 (6). , 2022 -
2022 | Report | Veröffentlicht | PUB-ID: 2965622
Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen LernensPUB | PDF | DOI
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964829BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based ModelsPUB | DOI | arXiv
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961873Interpretable locally adaptive nearest neighborsPUB | DOI | WoS
Göpfert, Jan Philip, Interpretable locally adaptive nearest neighbors. Neurocomputing 470 (). , 2022 -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958662Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement LearningPUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
Schilling, Malte, Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. Neural Networks 144 (). , 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982134Task-Sensitive Concept Drift Detector with Constraint EmbeddingPUB | DOI
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982136On the suitability of incremental learning for regression tasks in exoskeleton controlPUB | DOI
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2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982165AutoML Technologies for the Identification of Sparse ModelsPUB | DOI
Liuliakov, Aleksei, AutoML Technologies for the Identification of Sparse Models. Intelligent Data Engineering and Automated Learning – IDEAL 2021. 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings 13113 (). Cham, 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969237Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label NoisePUB | DOI | Download (ext.)
Castellani, Andrea, Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise. Machine Learning and Knowledge Discovery in Databases. Research Track. European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I 12975 (). Cham, 2021 -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957340Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiersPUB | DOI | Download (ext.) | WoS
Artelt, André, Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers. Neurocomputing 470 (VSI: ESANN 2020). , 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957373Contrastive Explanations for Explaining Model AdaptationsPUB | DOI
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2021 | Preprint | PUB-ID: 2959899Convex optimization for actionable & plausible counterfactual explanationsPUB | Download (ext.) | arXiv
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2021 | Konferenzbeitrag | PUB-ID: 2959428Fast Non-Parametric Conditional Density Estimation using Moment TreesPUB
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960754A Shape-Based Method for Concept Drift Detection and Signal DenoisingPUB | DOI
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960755Fast Non-Parametric Conditional Density Estimation using Moment TreesPUB | DOI
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960685Investigating Intensity and Transversal Drift in Hyperspectral Imaging DataPUB | DOI
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960687Online Learning on Non-Stationary Data Streams for Image Recognition using Deep EmbeddingsPUB | DOI
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747Evaluating Robustness of Counterfactual ExplanationsPUB | DOI
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2021 | Report | Veröffentlicht | PUB-ID: 2954239Können Kinder aufgeklärte Nutzer* innen von Sprachassistenten sein? Rechtliche, psychologische, ethische und informatische PerspektivenPUB | DOI
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957588Efficient computation of contrastive explanationsPUB | DOI | Download (ext.)
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2949334
Explanation as a social practice: Toward a conceptual framework for the social design of AI systemsPUB | PDF | DOI | WoS
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954542Reservoir Stack MachinesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen, Benjamin, Reservoir Stack Machines. Neurocomputing 470 (). , 2021 -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959418Intuitiveness in Active TeachingPUB | DOI | WoS
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2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2956229Reservoir Memory Machines as Neural ComputersPUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC | arXiv
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2021 | Zeitschriftenaufsatz | Angenommen | PUB-ID: 2955245Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivationPUB | DOI | WoS | PubMed | Europe PMC
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2021 | Konferenzbeitrag | PUB-ID: 2958664Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion ForecastingPUB | arXiv
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2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2956774Concept Drift Segmentation via Kolmogorov TreesPUB
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2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2955948Federated Learning Vector QuantizationPUB
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2952937
Efficient Reject Options for Particle Filter Object Tracking in Medical ApplicationsPUB | PDF | DOI | WoS | PubMed | Europe PMC
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2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2955115Supervised learning in the presence of concept drift: a modelling frameworkPUB | DOI | WoS
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2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958328Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced DataPUB | DOI
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2020 | Konferenzbeitrag | PUB-ID: 2946488Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)PUB | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946685Efficient computation of counterfactual explanations of LVQ modelsPUB | Download (ext.)
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2946761Convex Density Constraints for Computing Plausible Counterfactual ExplanationsPUB | DOI | Download (ext.)
Artelt, André, Convex Density Constraints for Computing Plausible Counterfactual Explanations. Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part {I} 12396 (). Cham, 2020 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957814Improving and Evaluating Conversational User Interfaces for ChildrenPUB
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2020 | Konferenzbeitrag | PUB-ID: 2943260DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionPUB | DOI | Download (ext.) | arXiv
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2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982081Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling FrameworkPUB | DOI
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2940666Sparse Metric Learning in Prototype-based ClassificationPUB
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939517Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged InformationPUB | DOI | Download (ext.) | WoS | arXiv
Pfannschmidt, Lukas, Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information. Neurocomputing (). , 2020 -
2020 | Report | Veröffentlicht | PUB-ID: 2946614
Sustainability and Trust for Artificial Intelligence TechnologiesPUB | PDF | DOI
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2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2942892Brain-inspired computing and machine learningPUB | DOI | WoS
Iliadis, Lazaros S., Brain-inspired computing and machine learning. NEURAL COMPUTING & APPLICATIONS (). , 2020 -
2020 | Preprint | Entwurf | PUB-ID: 2942271
Sequential Feature Classification in the Context of RedundanciesPUB | PDF | arXiv
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2019 | Preprint | PUB-ID: 2959898On the computation of counterfactual explanations - A surveyPUB | Download (ext.) | arXiv
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2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982085Recovering Localized Adversarial AttacksPUB | DOI
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982084Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement UnitsPUB | DOI
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982082Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation LearningPUB | DOI
Hosseini, Babak, Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. 2019 International Joint Conference on Neural Networks (IJCNN) (). , 2019 -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982083On the Identification of Decision Boundaries for Anomaly Detection in CPPSPUB | DOI
Li, Peng, On the Identification of Decision Boundaries for Anomaly Detection in CPPS. 2019 IEEE International Conference on Industrial Technology (ICIT) (). , 2019 -
2019 | Monographie | PUB-ID: 2935200
Lecture Notes on Applied OptimizationPUB | Dateien verfügbar
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2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2934458
Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer LearningPUB | PDF | DOI | WoS | PubMed | Europe PMC
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933893Feature Relevance Bounds for Ordinal RegressionPUB | Download (ext.) | arXiv
Pfannschmidt, Lukas, Feature Relevance Bounds for Ordinal Regression. Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019) (). Louvain-la-Neuve, 2019 -
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937842
Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and SegmentationPUB | Datei | arXiv
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2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937841
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature SelectionPUB | Datei | arXiv
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2019 | Report | Veröffentlicht | PUB-ID: 2937888KI-basierte Sprachassistenten im Alltag: Forschungsbedarf aus informatischer, psychologischer, ethischer und rechtlicher SichtPUB | DOI | Download (ext.)
Krämer, Nicole, KI-basierte Sprachassistenten im Alltag: Forschungsbedarf aus informatischer, psychologischer, ethischer und rechtlicher Sicht. (). , 2019 -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937839
Interpretable Discriminative Dimensionality Reduction and Feature Selection on the ManifoldPUB | Datei | arXiv
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935456
FRI - Feature Relevance Intervals for Interpretable and Interactive Data ExplorationPUB | PDF | DOI | arXiv
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2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2933715
Differential privacy for learning vector quantizationPUB | PDF | DOI | WoS
Brinkrolf, Johannes, Differential privacy for learning vector quantization. Neurocomputing 342 (). , 2019 -
2019 | Konferenzbeitrag | PUB-ID: 2930303Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-seriesPUB | arXiv
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2019 | Konferenzbeitrag | PUB-ID: 2934192Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation LearningPUB | arXiv
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2019 | Preprint | Veröffentlicht | PUB-ID: 2934181Adversarial attacks hidden in plain sightPUB | DOI | arXiv
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932914Time integration and reject options for probabilistic output of pairwise LVQPUB | DOI | WoS
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2931283
Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child AffettoPUB | PDF
Queißer, Jeffrey, Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto. (). , 2018 -
2018 | Datenpublikation | PUB-ID: 2930611
Classification of motor errors to provide real-time feedback for sports coaching in virtual reality - A case study in squats and Tai Chi pushes (Data)PUB | Dateien verfügbar | DOI
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2930862Classification of motor errors to provide real-time feedback for sports coaching in virtual reality — A case study in squats and Tai Chi pushesPUB | DOI | Download (ext.) | WoS
Hülsmann, Felix, 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 (). , 2018 -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982092Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child AffettoPUB | DOI
Queisser, Jeffrey Frederic, Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto. 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) (). , 2018 -
2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982090Non-negative Local Sparse Coding for Subspace ClusteringPUB | DOI
Hosseini, Babak, Non-negative Local Sparse Coding for Subspace Clustering. Advances in Intelligent Data Analysis XVII. 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings (). Cham, 2018 -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982089Generation of Adversarial Examples to Prevent Misclassification of Deep Neural Network based Condition Monitoring Systems for Cyber-Physical Production SystemsPUB | DOI
Specht, Felix, Generation of Adversarial Examples to Prevent Misclassification of Deep Neural Network based Condition Monitoring Systems for Cyber-Physical Production Systems. 2018 IEEE 16th International Conference on Industrial Informatics (INDIN) (). , 2018 -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982088Enhancing Very Fast Decision Trees with Local Split-Time PredictionsPUB | DOI
Losing, Viktor, Enhancing Very Fast Decision Trees with Local Split-Time Predictions. 2018 IEEE International Conference on Data Mining (ICDM) (). , 2018 -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982087Confident Kernel Sparse Coding and Dictionary LearningPUB | DOI
Hosseini, Babak, Confident Kernel Sparse Coding and Dictionary Learning. 2018 IEEE International Conference on Data Mining (ICDM) (). , 2018 -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982086A Geometric Approach to Clustering Based Anomaly Detection for Industrial ApplicationsPUB | DOI
Li, Peng, A Geometric Approach to Clustering Based Anomaly Detection for Industrial Applications. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society (). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932412Statistical Mechanics of On-Line Learning Under Concept DriftPUB | DOI | WoS | PubMed | Europe PMC
Straat, Michiel, Statistical Mechanics of On-Line Learning Under Concept Drift. ENTROPY 20 (10). , 2018 -
2018 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2917896flowLearn: Fast and precise identification and quality checking of cell populations in flow cytometryPUB | DOI | WoS | PubMed | Europe PMC
Lux, Markus, flowLearn: Fast and precise identification and quality checking of cell populations in flow cytometry. Bioinformatics 34 (13). , 2018 -
2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2933557Inferring Temporal Structure from Predictability in Bumblebee Learning FlightPUB | DOI
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918254Differential private relevance learningPUB | Download (ext.)
Brinkrolf, Johannes, Differential private relevance learning. Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018) (). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900Time Series Prediction for Graphs in Kernel and Dissimilarity SpacesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen, Benjamin, Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces. Neural Processing Letters 48 (2). , 2018 -
2018 | Preprint | Veröffentlicht | PUB-ID: 2921209
Non-Negative Local Sparse Coding for Subspace ClusteringPUB | Datei | Download (ext.) | arXiv
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2018 | Konferenzbeitrag | Im Druck | PUB-ID: 2932116
Confident Kernel Sparse Coding and Dictionary LearningPUB | Datei | arXiv
Hosseini, Babak, Confident Kernel Sparse Coding and Dictionary Learning. 2018 IEEE International Conference on Data Mining (ICDM) (). , 2018 -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919598Feasibility Based Large Margin Nearest Neighbor Metric LearningPUB | arXiv
Hosseini, Babak, Feasibility Based Large Margin Nearest Neighbor Metric Learning. ESANN 2018. Proceedings of 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914505Expectation maximization transfer learning and its application for bionic hand prosthesesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen, Benjamin, Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing 298 (). , 2018 -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2921316
Mitigating Concept Drift via RejectionPUB | PDF | DOI
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2917201Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM)PUB | DOI | WoS
Losing, Viktor, Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). KNOWLEDGE AND INFORMATION SYSTEMS 54 (1). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2915273
Interpretation of Linear Classifiers by Means of Feature Relevance BoundsPUB | PDF | DOI | WoS
Göpfert, Christina, Interpretation of Linear Classifiers by Means of Feature Relevance Bounds. Neurocomputing 298 (). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913389The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance SpacesPUB | Download (ext.) | arXiv
Paaßen, Benjamin, The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces. Journal of Educational Data Mining 10 (1). , 2018 -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844Tree Edit Distance Learning via Adaptive Symbol EmbeddingsPUB | Download (ext.) | arXiv
Paaßen, Benjamin, Tree Edit Distance Learning via Adaptive Symbol Embeddings. Proceedings of the 35th International Conference on Machine Learning (ICML 2018) 80 (). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914730
Incremental on-line learning: A review and comparison of state of the art algorithmsPUB | PDF | DOI | WoS
Losing, Viktor, Incremental on-line learning: A review and comparison of state of the art algorithms. Neurocomputing 275 (). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918244Interpretable Machine Learning with Reject OptionPUB | DOI | WoS
Brinkrolf, Johannes, Interpretable Machine Learning with Reject Option. at - Automatisierungstechnik 66 (4). , 2018 -
2018 | Konferenzbeitrag | PUB-ID: 2916318Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor ClassifierPUB | DOI
Berger, Kolja, Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier. (). , 2018 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982095Label-noise-tolerant classification for streaming dataPUB | DOI
Frenay, Benoit, Label-noise-tolerant classification for streaming data. 2017 International Joint Conference on Neural Networks (IJCNN) (). , 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982091Personalized maneuver prediction at intersectionsPUB | DOI
Losing, Viktor, Personalized maneuver prediction at intersections. 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) (). , 2017 -
2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2919987
Non-negative Kernel Sparse Coding Frameworks for Efficient Analysis of Motion DataPUB | PDF
Hosseini, Babak, Non-negative Kernel Sparse Coding Frameworks for Efficient Analysis of Motion Data. (). , 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909369
An EM transfer learning algorithm with applications in bionic hand prosthesesPUB | PDF
Paaßen, Benjamin, An EM transfer learning algorithm with applications in bionic hand prostheses. Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017) (). Bruges, 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914945Probabilistic extension and reject options for pairwise LVQPUB | DOI
Brinkrolf, Johannes, Probabilistic extension and reject options for pairwise LVQ. 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM) (). Piscataway, NJ, 2017 -
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372
Efficient Kernelization of Discriminative Dimensionality ReductionPUB | PDF | DOI | WoS
Schulz, Alexander, Efficient Kernelization of Discriminative Dimensionality Reduction. Neurocomputing 268 (SI). , 2017 -
2017 | Konferenzbeitrag | PUB-ID: 2909371Prototype based models for the supervised learning of classificaton schemesPUB
Biehl, Michael, Prototype based models for the supervised learning of classificaton schemes. Proc. of the IAU Symposium 325 on Astroinformatics, Sorrento/Italy, October 2016 (). , 2017 -
2017 | Konferenzbeitrag | PUB-ID: 2914950Differential Privacy for Learning Vector QuantizationPUB
Brinkrolf, Johannes, Differential Privacy for Learning Vector Quantization. New Challenges in Neural Computation (). , 2017 -
2017 | Konferenzbeitrag | PUB-ID: 2914734
Self-Adjusting Memory: How to Deal with Diverse Drift TypesPUB | PDF | DOI
Losing, Viktor, Self-Adjusting Memory: How to Deal with Diverse Drift Types. (). , 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908201
Feature Relevance Bounds for Linear ClassificationPUB | Dateien verfügbar | Download (ext.)
Göpfert, Christina, Feature Relevance Bounds for Linear Classification. Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Louvain-la-Neuve, 2017 -
2017 | Konferenzbeitrag | PUB-ID: 2914732
Personalized Maneuver Prediction at IntersectionsPUB | PDF
Losing, Viktor, Personalized Maneuver Prediction at Intersections. (). , 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913752
Effects of Variability in Synthetic Training Data on Convolutional Neural Networks for 3D Head ReconstructionPUB | PDF | DOI
Göpfert, Jan Philip, Effects of Variability in Synthetic Training Data on Convolutional Neural Networks for 3D Head Reconstruction. 2017 SSCI Proceedings. 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (). Piscataway, NJ, 2017 -
2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2919990
Task-Driven Sparse Coding for Classification of Motion DataPUB | PDF
Hosseini, Babak, Task-Driven Sparse Coding for Classification of Motion Data. (). , 2017 -
2017 | Konferenzbeitrag | PUB-ID: 2909370Label-Noise-Tolerant Classification for Streaming DataPUB
Frenay, Benoit, Label-Noise-Tolerant Classification for Streaming Data. IEEE International Joint Conference on Neural Neworks (). , 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914141
Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First ResultsPUB | PDF
Aswolinskiy, Witali, Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First Results. Proceedings of the Workshop on New Challenges in Neural Computation (NC2) 03/2017 (). Bielefeld, 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909037
Echo State Networks as Novel Approach for Low-Cost Myoelectric ControlPUB | Dateien verfügbar | DOI
Prahm, Cosima, Echo State Networks as Novel Approach for Low-Cost Myoelectric Control. Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017) 10259 (). , 2017 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2915274
Analyzing Feature Relevance for Linear Reject Option SVM using Relevance IntervalsPUB | PDF
Göpfert, Christina, Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals. Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments (). , 2017 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904469Non-Negative Kernel Sparse Coding for the Analysis of Motion DataPUB | PDF | DOI | Download (ext.) | arXiv
Hosseini, Babak, Non-Negative Kernel Sparse Coding for the Analysis of Motion Data. Artificial Neural Networks and Machine Learning – ICANN 2016 9887 (). Cham, 2016 -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982097Prototype-based Models for the Supervised Learning of Classification SchemesPUB | DOI
Biehl, Michael, Prototype-based Models for the Supervised Learning of Classification Schemes. Proceedings of the International Astronomical Union 12 (S325). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982096Online metric learning for an adaptation to confidence driftPUB | DOI
Fischer, Lydia, Online metric learning for an adaptation to confidence drift. 2016 International Joint Conference on Neural Networks (IJCNN) (). , 2016 -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2907633
acdc – Automated Contamination Detection and Confidence estimation for single-cell genome dataPUB | PDF | DOI | WoS | PubMed | Europe PMC
Lux, Markus, acdc – Automated Contamination Detection and Confidence estimation for single-cell genome data. BMC Bioinformatics 17 (1). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367Local Reject Option for Deterministic Multi-class SVMPUB | DOI
Kummert, Johannes, Local Reject Option for Deterministic Multi-class SVM. Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II 9887 (). Cham, 2016 -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224
Adaptive structure metrics for automated feedback provision in intelligent tutoring systemsPUB | PDF | DOI | WoS
Paaßen, Benjamin, Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing 192 (SI). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904509Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for ProgrammingPUB | Download (ext.)
Paaßen, Benjamin, Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming. Proceedings of the 9th International Conference on Educational Data Mining (). Raleigh, North Carolina, USA, 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676
Gaussian process prediction for time series of structured dataPUB | PDF
Paaßen, Benjamin, Gaussian process prediction for time series of structured data. Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Louvain-la-Neuve, 2016 -
2016 | Konferenzbeitrag | E-Veröff. vor dem Druck | PUB-ID: 2904909
Discriminative Dimensionality Reduction in Kernel SpacePUB | PDF
Schulz, Alexander, Discriminative Dimensionality Reduction in Kernel Space. ESANN2016 Proceedings. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium,27-29 April 2016 (). , 2016 -
2016 | Konferenzbeitrag | PUB-ID: 2909365Virtual optimisation for improved production planningPUB
Brinkrolf, Johannes, Virtual optimisation for improved production planning. New Challenges in Neural Computation (). , 2016 -
2016 | Konferenzbeitrag | PUB-ID: 2907624
Choosing the Best Algorithm for an Incremental On-line Learning TaskPUB | PDF
Losing, Viktor, Choosing the Best Algorithm for an Incremental On-line Learning Task. (). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729
Convergence of Multi-pass Large Margin Nearest Neighbor Metric LearningPUB | PDF | DOI
Göpfert, Christina, Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning. Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II 9887 (). Cham, 2016 -
2016 | Konferenzbeitrag | PUB-ID: 2908455
Dedicated Memory Models for Continual Learning in the Presence of Concept DriftPUB | PDF
Losing, Viktor, Dedicated Memory Models for Continual Learning in the Presence of Concept Drift. (). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905855Linear Supervised Transfer Learning for Generalized Matrix LVQPUB | Download (ext.)
Paaßen, Benjamin, Linear Supervised Transfer Learning for Generalized Matrix LVQ. Proceedings of the Workshop New Challenges in Neural Computation 2016 (4). , 2016 -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2903457Odor recognition in robotics applications by discriminative time-series modelingPUB | DOI | WoS
Schleif, Frank-Michael, Odor recognition in robotics applications by discriminative time-series modeling. PATTERN ANALYSIS AND APPLICATIONS 19 (1). , 2016 -
2016 | Konferenzbeitrag | PUB-ID: 2909368Incremental learning algorithms and applicationsPUB
Geppert, er, Incremental learning algorithms and applications. ESANN (). , 2016 -
2016 | Konferenzbeitrag | PUB-ID: 2905195Online Metric Learning for an Adaptation to Confidence DriftPUB
Fischer, Lydia, Online Metric Learning for an Adaptation to Confidence Drift. Proceedings of International Joint Conference on Neural Networks (IJCNN) (). Vancouver, 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904178
Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode ShiftPUB | PDF | DOI | Download (ext.)
Prahm, Cosima, Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis after Electrode Shift. Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016) (). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907622
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept DriftPUB | PDF | DOI
Losing, Viktor, KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. 2016 IEEE 16th International Conference on Data Mining (ICDM) (). Piscataway, NJ, 2016 -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2910957Prototype-based models in machine learningPUB | DOI | WoS | PubMed | Europe PMC
Biehl, Michael, Prototype-based models in machine learning. Wiley Interdisciplinary Reviews: Cognitive Science 7 (2). , 2016 -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909366Self-Adjusting Reject Options in Prototype Based ClassificationPUB | DOI
Villmann, Thomas, Self-Adjusting Reject Options in Prototype Based Classification. Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016 428 (). Cham, 2016 -
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2905193Optimal local rejection for classifiersPUB | DOI | WoS
Fischer, Lydia, Optimal local rejection for classifiers. Neurocomputing 214 (). , 2016 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982098Combining offline and online classifiers for life-long learningPUB | DOI
Fischer, Lydia, Combining offline and online classifiers for life-long learning. 2015 International Joint Conference on Neural Networks (IJCNN) (). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752948
Learning Feedback in Intelligent Tutoring Systems. Report of the FIT Project, Conducted from December 2011 to March 2015PUB | PDF | DOI | Download (ext.) | WoS
Gross, Sebastian, Learning Feedback in Intelligent Tutoring Systems. Report of the FIT Project, Conducted from December 2011 to March 2015. KI - Künstliche Intelligenz 29 (4). , 2015 -
2015 | Preprint | Veröffentlicht | PUB-ID: 2901613Automated Contamination Detection in Single-Cell SequencingPUB
Lux, Markus, Automated Contamination Detection in Single-Cell Sequencing. bioRxiv (). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2671047
Parametric nonlinear dimensionality reduction using kernel t-SNEPUB | PDF | DOI | WoS
Gisbrecht, Andrej, Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing 147 (). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909226Data visualization by nonlinear dimensionality reductionPUB | DOI | WoS
Gisbrecht, Andrej, Data visualization by nonlinear dimensionality reduction. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (2). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2759763Sparse conformal prediction for dissimilarity dataPUB | DOI | WoS
Schleif, Frank-Michael, Sparse conformal prediction for dissimilarity data. Annals of Mathematics and Artificial Intelligence 74 (1-2). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783165Efficient Metric Learning for the Analysis of Motion DataPUB | DOI | Download (ext.) | arXiv
Hosseini, Babak, Efficient Metric Learning for the Analysis of Motion Data. 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA) (). Piscataway, NJ, 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777
Inferring Feature Relevances From Metric LearningPUB | PDF | DOI
Schulz, Alexander, Inferring Feature Relevances From Metric Learning. 2015 IEEE Symposium Series on Computational Intelligence (). Piscataway, NJ, 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156
Adaptive structure metrics for automated feedback provision in Java programmingPUB | PDF
Paaßen, Benjamin, Adaptive structure metrics for automated feedback provision in Java programming. Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031
Metric learning for sequences in relational LVQPUB | PDF | DOI | Download (ext.) | WoS
Mokbel, Bassam, Metric learning for sequences in relational LVQ. Neurocomputing 169 (SI). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2766822
Using Discriminative Dimensionality Reduction to Visualize ClassifiersPUB | PDF | DOI | WoS
Schulz, Alexander, Using Discriminative Dimensionality Reduction to Visualize Classifiers. Neural Processing Letters 42 (1). , 2015 -
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900303
Visualization of Regression Models Using Discriminative Dimensionality ReductionPUB | PDF | DOI
Schulz, Alexander, Visualization of Regression Models Using Discriminative Dimensionality Reduction. Computer Analysis of Images and Patterns 9257 (). Cham, 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900325
Unsupervised Dimensionality Reduction for Transfer LearningPUB | PDF
Blöbaum, Patrick, Unsupervised Dimensionality Reduction for Transfer Learning. Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Louvain-la-Neuve, 2015 -
2015 | Zeitschriftenaufsatz | PUB-ID: 2909364Special Issue on Autonomous LearningPUB | DOI | WoS
Hammer, Barbara, Special Issue on Autonomous Learning. {KI} 29 (4). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900319Discriminative dimensionality reduction for regression problems using the Fisher metricPUB | DOI
Schulz, Alexander, Discriminative dimensionality reduction for regression problems using the Fisher metric. 2015 International Joint Conference on Neural Networks (IJCNN) (). , 2015 -
2015 | Preprint | PUB-ID: 2774656Optimum Reject Options for Prototype-based ClassificationPUB | arXiv
Fischer, Lydia, Optimum Reject Options for Prototype-based Classification. (). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774707Certainty-based Prototype Insertion/Deletion for Classification with Metric AdaptationPUB
Fischer, Lydia, Certainty-based Prototype Insertion/Deletion for Classification with Metric Adaptation. ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). , 2015 -
2015 | Konferenzbeitrag | PUB-ID: 2774721Combining Offline and Online Classifiers for Life-long LearningPUB
Fischer, Lydia, Combining Offline and Online Classifiers for Life-long Learning. IJCNN, International Joint Conference on Neural Networks (). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772407Median variants of learning vector quantization for learning of dissimilarity dataPUB | DOI | WoS
Nebel, David, Median variants of learning vector quantization for learning of dissimilarity data. Neurocomputing 169 (SI). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring SystemsPUB | Download (ext.)
Paaßen, Benjamin, A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. Proceedings of the 8th International Conference on Educational Data Mining (). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955
Autonomous Learning of RepresentationsPUB | PDF | DOI | Download (ext.) | WoS
Walter, Oliver, Autonomous Learning of Representations. KI - Künstliche Intelligenz 29 (4). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2695196Efficient approximations of robust soft learning vector quantization for non-vectorial dataPUB | DOI | WoS
Hofmann, Daniela, Efficient approximations of robust soft learning vector quantization for non-vectorial data. Neurocomputing 147 (). , 2015 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2772413Efficient rejection strategies for prototype-based classificationPUB | DOI | WoS
Fischer, Lydia, Efficient rejection strategies for prototype-based classification. Neurocomputing 169 (SI). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2901612Automatic discovery of metagenomic structurePUB | DOI
Lux, Markus, Automatic discovery of metagenomic structure. 2015 International Joint Conference on Neural Networks (IJCNN) (). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900318Metric Learning in Dimensionality ReductionPUB | DOI
Schulz, Alexander, Metric Learning in Dimensionality Reduction. Proceedings of the International Conference on Pattern Recognition Applications and Methods (). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2776021
Interactive Online Learning for Obstacle Classification on a Mobile RobotPUB | PDF | DOI
Losing, Viktor, Interactive Online Learning for Obstacle Classification on a Mobile Robot. (). , 2015 -
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2910954Stationarity of Matrix Relevance LVQPUB | DOI
Biehl, Michael, Stationarity of Matrix Relevance LVQ. 2015 International Joint Conference on Neural Networks (IJCNN) (). , 2015 -
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982100How to Select an Example? A Comparison of Selection Strategies in Example-Based LearningPUB | DOI
Gross, Sebastian, How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning. Intelligent Tutoring Systems (). Cham, 2014 -
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982099Distance Measures for Prototype Based ClassificationPUB | DOI
Biehl, Michael, Distance Measures for Prototype Based Classification. Brain-Inspired Computing. International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers (). Cham, 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320
Valid interpretation of feature relevance for linear data mappingsPUB | PDF | DOI
Frenay, Benoit, Valid interpretation of feature relevance for linear data mappings. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) (). Piscataway, NJ, 2014 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214Learning interpretable kernelized prototype-based modelsPUB | DOI | Download (ext.) | WoS
Hofmann, Daniela, Learning interpretable kernelized prototype-based models. Neurocomputing 141 (). , 2014 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2672504Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity DataPUB | DOI | WoS
Zhu, Xibin, Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Letters 49 (). , 2014 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730Learning vector quantization for (dis-)similaritiesPUB | DOI | WoS
Hammer, Barbara, Learning vector quantization for (dis-)similarities. NeuroComputing 131 (). , 2014 -
2014 | Konferenzbeitrag | PUB-ID: 2909360How to Select an Example? A Comparison of Selection Strategies in Example-Based LearningPUB
Gross, Sebastian, How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning. Intelligent Tutoring Systems 8474 (). , 2014 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2694967Computational Intelligence in Big DataPUB | DOI | WoS
Jin, Yaochu, Computational Intelligence in Big Data. IEEE Computational Intelligence Magazine 9 (3). , 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774643Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic ApproachesPUB | DOI
Fischer, Lydia, Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches. Advances in Self-Organizing Maps and Learning Vector Quantization 295 (). Cham, 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673548Rejection strategies for learning vector quantizationPUB
Fischer, Lydia, Rejection strategies for learning vector quantization. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Bruges, Belgium, 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2774498Local Rejection Strategies for Learning Vector QuantizationPUB | DOI
Fischer, Lydia, Local Rejection Strategies for Learning Vector Quantization. Artificial Neural Networks and Machine Learning – ICANN 2014 8681 (). Cham, 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554
Adaptive distance measures for sequential dataPUB | PDF
Mokbel, Bassam, Adaptive distance measures for sequential data. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Bruges, Belgium, 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673559Learning and modeling big dataPUB
Hammer, Barbara, Learning and modeling big data. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Bruges, Belgium, 2014 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058Example-based feedback provision using structured solution spacesPUB | DOI | Download (ext.)
Gross, Sebastian, Example-based feedback provision using structured solution spaces. International Journal of Learning Technology 9 (3). , 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067
Efficient Adaptation of Structure Metrics in Prototype-Based ClassificationPUB | PDF | DOI | Download (ext.)
Mokbel, Bassam, Efficient Adaptation of Structure Metrics in Prototype-Based Classification. Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings 8681 (). , 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673545Supervised Generative Models for Learning Dissimilarity DataPUB
Nebel, David, Supervised Generative Models for Learning Dissimilarity Data. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Bruges, Belgium, 2014 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673557Relevance learning for dimensionality reductionPUB
Schulz, Alexander, Relevance learning for dimensionality reduction. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). Bruges, Belgium, 2014 -
2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2900324Discriminative Dimensionality Reduction for the Visualization of ClassifiersPUB | DOI
Gisbrecht, Andrej, Discriminative Dimensionality Reduction for the Visualization of Classifiers. Pattern Recognition Applications and Methods 318 (). Cham, 2014 -
2014 | Konferenzbeitrag | PUB-ID: 2909361Generative versus Discriminative Prototype Based ClassificationPUB | DOI
Hammer, Barbara, Generative versus Discriminative Prototype Based Classification. Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, {WSOM} 2014, Mittweida, Germany, July, 2-4, 2014 (). Cham, 2014 -
2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982105Sparse Prototype Representation by Core SetsPUB | DOI
Schleif, Frank-Michael, Sparse Prototype Representation by Core Sets. Intelligent Data Engineering and Automated Learning – IDEAL 2013 (). Berlin, Heidelberg, 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982104Regularization and improved interpretation of linear data mappings and adaptive distance measuresPUB | DOI
Strickert, Marc, Regularization and improved interpretation of linear data mappings and adaptive distance measures. 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) (). , 2013 -
2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982102Efficient Approximations of Kernel Robust Soft LVQPUB | DOI
Hofmann, Daniela, Efficient Approximations of Kernel Robust Soft LVQ. Advances in Self-Organizing Maps (). Berlin, Heidelberg, 2013 -
2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982101A Median Variant of Generalized Learning Vector QuantizationPUB | DOI
Nebel, David, A Median Variant of Generalized Learning Vector Quantization. Neural Information Processing (). Berlin, Heidelberg, 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2623500Nonlinear dimensionality reduction for cluster identification in metagenomic samplesPUB | DOI
Gisbrecht, Andrej, Nonlinear dimensionality reduction for cluster identification in metagenomic samples. 17th International Conference on Information Visualisation IV 2013 (). Piscataway, NJ, 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622454Applications of discriminative dimensionality reductionPUB | DOI
Hammer, Barbara, Applications of discriminative dimensionality reduction. Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (). , 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185Domain-Independent Proximity Measures in Intelligent Tutoring SystemsPUB | Download (ext.)
Mokbel, Bassam, Domain-Independent Proximity Measures in Intelligent Tutoring Systems. Proceedings of the 6th International Conference on Educational Data Mining (EDM) (). , 2013 -
2013 | Konferenzbeitrag | PUB-ID: 2909358Regularization and Improved Interpretation of Linear Data Mappings and Adaptive Distance MeasuresPUB
Strickert, M., Regularization and Improved Interpretation of Linear Data Mappings and Adaptive Distance Measures. IEEE SSCI CIDM 2013 (). , 2013 -
2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612736Visualizing the quality of dimensionality reductionPUB | DOI | WoS
Mokbel, Bassam, Visualizing the quality of dimensionality reduction. Neurocomputing 112 (). , 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622456Using Nonlinear Dimensionality Reduction to Visualize ClassifiersPUB | DOI | WoS
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113Topographic Mapping of Dissimilarity DataPUB | DOI
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994152Functional principal component learning using Oja's method and Sobolev normsPUB
Villmann, T., Functional principal component learning using Oja's method and Sobolev norms. Advances in Self-Organizing Maps (). , 2009 -
2009 | Herausgeber*in Sammelwerk | Veröffentlicht | PUB-ID: 1994316Similarity Based ClusteringPUB | DOI
Biehl, Michael, Similarity Based Clustering. (). Berlin, Heidelberg, 2009 -
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982119Matrix Learning for Topographic Neural MapsPUB | DOI
Arnonkijpanich, Banchar, Matrix Learning for Topographic Neural Maps. Artificial Neural Networks - ICANN 2008 (). Berlin, Heidelberg, 2008 -
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993939Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in BioinformaticsPUB
Schleif, Frank-Michael, Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics. Encyclopedia of Artificial Intelligence (). , 2008 -
2008 | Konferenzband | Veröffentlicht | PUB-ID: 1994329Recurrent Neural Networks - Models, Capacities, and ApplicationsPUB
de Raedt, Luc, Recurrent Neural Networks - Models, Capacities, and Applications. 8041 (). , 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993282Matrix Learning for Topographic Neural MapsPUB
Arnonkijpanich, Banchar, Matrix Learning for Topographic Neural Maps. ICANN (1). Lecture Notes in Computer Science, 5163 (). Berlin, 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993261Parallelizing single pass patch clusteringPUB
Alex, N., Parallelizing single pass patch clustering. European Symposium on Artificial Neural Networks (). Evere, Belgium, 2008 -
2008 | Report | Veröffentlicht | PUB-ID: 1993278Local Matrix Adaptation in Topographic Neural MapsPUB
Arnonkijpanich, B., Local Matrix Adaptation in Topographic Neural Maps. (). Clausthal-Zellerfeld, 2008 -
2008 | Report | Veröffentlicht | PUB-ID: 1993379Discriminative Visualization by Limited Rank Matrix LearningPUB
Bunte, K., Discriminative Visualization by Limited Rank Matrix Learning. (). Leipzig, 2008 -
2008 | Report | Veröffentlicht | PUB-ID: 1994012Matrix Adaptation in Discriminative Vector QuantizationPUB
Schneider, P., Matrix Adaptation in Discriminative Vector Quantization. (). Clausthal-Zellerfeld, 2008 -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994290Learning dynamics and robustness of vector quantization and neural gasPUB | DOI | WoS
Witoelar, A., Learning dynamics and robustness of vector quantization and neural gas. Neurocomputing 71 (7-9). , 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993776Topographic processing of very large text datasetsPUB | DOI
Hasenfuss, A., Topographic processing of very large text datasets. Smart Systems Engineering: Computational Intelligence in Architecting Systes (ANNIE 2008) (). , 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993788Single Pass Clustering and Classification of Large Dissimilarity DatasetsPUB
Hasenfuss, Alexander, Single Pass Clustering and Classification of Large Dissimilarity Datasets. Artificial Intelligence and Pattern Recognition (). , 2008 -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993966Prototype based Fuzzy Classification in Clinical ProteomicsPUB | DOI | WoS
Schleif, Frank-Michael, Prototype based Fuzzy Classification in Clinical Proteomics. International Journal of Approximate Reasoning 47 (1). , 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994072Discriminatory Data Mapping by Matrix-Based Supervised Learning MetricsPUB | DOI
Strickert, Marc, Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop. Proceedings (). Berlin, 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994089Robust Centroid-Based Clustering using Derivatives of Pearson CorrelationPUB
Strickert, Marc, Robust Centroid-Based Clustering using Derivatives of Pearson Correlation. BIOSIGNALS (2) (). , 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994281Thinning Mesh AnimationsPUB
Winkler, T., Thinning Mesh Animations. Proceedings of Vision, Modeling, and Visualization 2008 (). Konstanz, Germany, 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993804Patch Relational Neural Gas - Clustering of Huge Dissimilarity DatasetsPUB | DOI
Hasenfuss, Alexander, Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets. Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop. Proceedings. Lecture Notes in Computer Science, 5064 (). Berlin, 2008 -
2008 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993900Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector QuantizersPUB | DOI
Schleif, Frank-Michael, Analysis of Spectral Data in Clinical Proteomics by use of Learning Vector Quantizers. Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications (). Berlin, 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993798Magnification Control in Relational Neural GasPUB
Hasenfuss, Alexander, Magnification Control in Relational Neural Gas. European Symposium on Artificial Neural Networks (). Brussels, 2008 -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994253Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methodsPUB | DOI | WoS | PubMed | Europe PMC
Villmann, Thomas, Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Briefings in Bioinformatics 9 (2). , 2008 -
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2017617Fuzzy Classification Using Information Theoretic Learning Vector QuantizationPUB | DOI | WoS
Villmann, Th., Fuzzy Classification Using Information Theoretic Learning Vector Quantization. Neurocomputing 71 (16-18). , 2008 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2001836Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexityPUB | DOI
Geweniger, T., Comparison of cluster algorithms for the analysis of text data using Kolmogorov complexity. ICONIP 2008 (). Berlin, Heidelberg, 2008 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993848
Accelerating Relational Clustering Algorithms With Sparse Prototype RepresentationPUB | PDF | DOI
Rossi, Fabrice, Accelerating Relational Clustering Algorithms With Sparse Prototype Representation. Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007) (). Bielefeld, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994016
Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry dataPUB | PDF | DOI
Schneider, Petra, Advanced metric adaptation in Generalized LVQ for classification of mass spectrometry data. Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007) (). Bielefeld, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994267
Class imaging of hyperspectral satellite remote sensing data using FLSOMPUB | PDF | DOI
Villmann, Thomas, Class imaging of hyperspectral satellite remote sensing data using FLSOM. Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007) (). Bielefeld, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994295
Learning Vector Quantization: generalization ability and dynamics of competing prototypesPUB | PDF | DOI
Witoelar, Aree, Learning Vector Quantization: generalization ability and dynamics of competing prototypes. Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007) (). Bielefeld, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993265
Single pass clustering for large data setsPUB | PDF | DOI
Alex, Nikolai, Single pass clustering for large data sets. Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007) (). Bielefeld, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993563
Topographic Processing of Relational DataPUB | PDF | DOI
Hammer, Barbara, Topographic Processing of Relational Data. Proceedings of 6th International Workshop on Self-Organizing Maps (WSOM 2007) (). Bielefeld, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993547Intuitive Clustering of Biological DataPUB | DOI
Hammer, Barbara, Intuitive Clustering of Biological Data. Proceedings of International Joint Conference on Neural Networks (). , 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993782Relational topographic mapsPUB | DOI
Hasenfuss, A., Relational topographic maps. Advances in Intelligent Data Analysis VII, Proceedings of the 7th International Symposium on Intelligent Data Analysis 4723 (). Berlin, 2007 -
2007 | Report | Veröffentlicht | PUB-ID: 1993922Aggregation of multiple peak lists by use of an improved neural gas networkPUB
Schleif, Frank-Michael, Aggregation of multiple peak lists by use of an improved neural gas network. (). Leipzig, 2007 -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993297Dynamics and generalization ability of LVQ algorithmsPUB
Biehl, M., Dynamics and generalization ability of LVQ algorithms. Journal of Machine Learning Research 8 (). , 2007 -
2007 | Report | Veröffentlicht | PUB-ID: 1993533Relational topographic MapsPUB
Hammer, Barbara, Relational topographic Maps. (). Clausthal-Zellerfeld, 2007 -
2007 | Report | Veröffentlicht | PUB-ID: 1993831Neural Gas for Surface ReconstructionPUB
Melato, Markus, Neural Gas for Surface Reconstruction. (). Clausthal-Zellerfeld, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993970Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-MapsPUB | DOI
Schleif, Frank-Michael, Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing-Maps. Application of Fuzzy Sets Theory. Proceedings of the 7th International Workshop on Fuzzy Logic and Applications. LNAI 4578 (). Berlin, Heidelberg, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993999Relevance matrices in LVQPUB
Schneider, P., Relevance matrices in LVQ. Proc. Of European Symposium on Artificial Neural Networks (). Brussels, Belgium, 2007 -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993911Margin based Active Learning for LVQ NetworksPUB | DOI | WoS
Schleif, Frank-Michael, Margin based Active Learning for LVQ Networks. Neurocomputing 70 (7-9). , 2007 -
2007 | Report | Veröffentlicht | PUB-ID: 1993334ICOLE-2007, German-Polish Workshop on Computational Biology, Scheduling and Machine Learning. Lessach, Austria, 27.05.-02.06.2007PUB
Blazewicz, Jacek, ICOLE-2007, German-Polish Workshop on Computational Biology, Scheduling and Machine Learning. Lessach, Austria, 27.05.-02.06.2007. (). Clausthal-Zellerfeld, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993746How to process uncertainty in machine learningPUB
Hammer, Barbara, How to process uncertainty in machine learning. Proc. Of European Symposium on Artificial Neural Networks (ESANN'2007) (). Brussels, Belgium, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993811Neural gas clustering for dissimilarity data with continuous prototypesPUB | DOI
Hasenfuss, A., Neural gas clustering for dissimilarity data with continuous prototypes. Computational and Ambient Intelligence – Proceedings of the 9th Work-conference on Artificial Neural Networks. LNCS 4507 (). Berlin, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994299On the dynamics of vector quantization and neural gasPUB
Witolaer, A., On the dynamics of vector quantization and neural gas. Proc. Of European Symposium on Artificial Neural Networks (ESANN'2007) (). Brussels, Belgium, 2007 -
2007 | Konferenzband | Veröffentlicht | PUB-ID: 1994321Similarity-based Clustering and its Application to Medicine and BiologyPUB
Biehl, Michael, Similarity-based Clustering and its Application to Medicine and Biology. 7131 (). , 2007 -
2007 | Herausgeber*in Sammelwerk | Veröffentlicht | PUB-ID: 1994326Perspectives of Neural-Symbolic IntegrationPUB | DOI
Hammer, Barbara, Perspectives of Neural-Symbolic Integration. (). Berlin, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993541Relational Neural GasPUB | DOI
Hammer, Barbara, Relational Neural Gas. KI 2007: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, 4667 (). Berlin, 2007 -
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993616Magnification control for batch neural gasPUB | DOI | WoS
Hammer, Barbara, Magnification control for batch neural gas. Neurocomputing 70 (7-9). , 2007 -
2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993630Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational PropertiesPUB | DOI
Hammer, Barbara, Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties. Perspectives of Neural-Symbolic Integration (). Berlin, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993820Neural gas clustering for sparse proximity dataPUB
Hasenfuss, A., Neural gas clustering for sparse proximity data. Proceedings of the 9th International Work-Conference on Artificial Neural Networks.LNCS 4507 (). Berlin, Heidelberg, Germany, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993907Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom SpectraPUB | DOI
Schleif, Frank-Michael, Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra. Computational and Ambient Intelligence. Proceedings of the 9th International Work-Conference on Artificial Neural Networks. LNCS, 4507 (). Berlin, Heidelberg, 2007 -
2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1994102Markovian Bias of Neural-based Architectures With Feedback ConnectionsPUB | DOI
Tino, P., Markovian Bias of Neural-based Architectures With Feedback Connections. Perspectives of Neural-Symbolic Integration (). Berlin, 2007 -
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994258Fuzzy Labeled Self Organizing Map for Clasification of SpectraPUB | DOI
Villmann, T., Fuzzy Labeled Self Organizing Map for Clasification of Spectra. Computational and Ambient Intelligence. Proceedings of the 9th Work-conference on Artificial Neural Networks. LNCS, 4507 (). Berlin, 2007 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993578Supervised Batch Neural GasPUB | DOI
Hammer, Barbara, Supervised Batch Neural Gas. Proceedings of Conference Artificial Neural Networks in Pattern Recognition (ANNPR) (). Berlin, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993895Margin based Active Learning for LVQ NetworksPUB
Schleif, Frank-Michael, Margin based Active Learning for LVQ Networks. Proc. Of European Symposium on Artificial Neural Networks (). Brussels, Belgium, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994184Prototype based classification using information theoretic learningPUB
Villmann, Th., Prototype based classification using information theoretic learning. Neural Information Processing, 13th International Conference. Proceedings Part II (). Berlin, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994273Fuzzy Labeled Self-Organizing Map with Label-Adjusted PrototypesPUB | DOI
Villmann, T., Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. Proceedings of Conference Artificial Neural Networks in Pattern Recognition (). Berlin, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993889Machine Learning and Soft-Computing in Bioinformatics. A Short JourneyPUB
Schleif, Frank-Michael, Machine Learning and Soft-Computing in Bioinformatics. A Short Journey. Proc. of FLINS 2006 (). , 2006 -
2006 | Report | Veröffentlicht | PUB-ID: 1993322Matrix Learning in Learning Vector QuantizationPUB
Biehl, M., Matrix Learning in Learning Vector Quantization. (). Clausthal-Zellerfeld, 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993391Batch and Median Neural GasPUB | DOI | WoS | PubMed | Europe PMC
Cottrell, M., Batch and Median Neural Gas. Neural Networks 19 (6-7). , 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993568Supervised median neural gasPUB
Hammer, Barbara, Supervised median neural gas. Smart Engineering System Design. Intelligent Engineering Systems Through Artificial Neural Networks, 16 (). , 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993594Supervised median clusteringPUB
Hammer, Barbara, Supervised median clustering. 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) (). New York, NY, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993878Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing MapsPUB | DOI
Schleif, Frank-Michael, Analysis and Visualization of Proteomic Data by Fuzzy labeled Self-Organizing Maps. 19th IEEE International Symposium on Computer- based Medical Systems (). Los Alamitos, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994028Neural Networks and Machine Learning in Bioinformatics - Theory and ApplicationsPUB
Seiffert, U., Neural Networks and Machine Learning in Bioinformatics - Theory and Applications. Proc. Of European Symposium on Artificial Neural Networks (). Brussels, Belgium, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994201Perspectives of Self-adapted Self-organizing Clustering in Organic ComputingPUB | DOI
Villmann, Thomas, Perspectives of Self-adapted Self-organizing Clustering in Organic Computing. Biologically Inspired Approaches to Advanced Information Technology, Second International Workshop. Proceedings. Lecture Notes in Computer Science, 3853 (). Berlin, 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994237Comparison of relevance learning vector quantization with other metric adaptive classification methodsPUB | DOI | WoS | PubMed | Europe PMC
Villmann, T., Comparison of relevance learning vector quantization with other metric adaptive classification methods. Neural Networks 19 (5). , 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993301Learning vector quantization: The dynamics of winner-takes-all algorithmsPUB | DOI | WoS
Biehl, Michael, Learning vector quantization: The dynamics of winner-takes-all algorithms. Neurocomputing 69 (7-9). , 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993440Performance analysis of LVQ algorithms: a statistical physics approachPUB | DOI | WoS | PubMed | Europe PMC
Ghosh, A., Performance analysis of LVQ algorithms: a statistical physics approach. Neural Networks 19 (6-7). , 2006 -
2006 | Report | Veröffentlicht | PUB-ID: 1993584Supervised median clusteringPUB
Hammer, Barbara, Supervised median clustering. (). Clausthal-Zellerfeld, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993611Magnification Control for Batch Neural GasPUB
Hammer, Barbara, Magnification Control for Batch Neural Gas. Proc. Of European Symposium on Artificial Neural Networks (). Brussels, 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993659On the capacity of unsupervised recursive neural networks for symbol processingPUB
Hammer, Barbara, On the capacity of unsupervised recursive neural networks for symbol processing. Workshop proceedings of NeSy'06 (). , 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993762Effizient Klassifizieren und Clustern: Lernparadigmen von VektorquantisierernPUB
Hammer, Barbara, Effizient Klassifizieren und Clustern: Lernparadigmen von Vektorquantisierern. Künstliche Intelligenz 3 (6). , 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994082Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysisPUB | DOI | WoS
Strickert, M., Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis. Neurocomputing 69 (7-9). , 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994195Fuzzy Classification by Fuzzy Labeled Neural GasPUB | DOI | WoS | PubMed | Europe PMC
Villmann, T., Fuzzy Classification by Fuzzy Labeled Neural Gas. Neural Networks 19 (6-7). , 2006 -
2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994241Prototype-based fuzzy classification with local relevance for proteomicsPUB | DOI | WoS
Villmann, T., Prototype-based fuzzy classification with local relevance for proteomics. Neurocomputing 69 (16-18). , 2006 -
2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2017225Learning vector quantization classification with local relevance determination for medical dataPUB | DOI
Hammer, Barbara, Learning vector quantization classification with local relevance determination for medical data. Artificial Intelligence and Soft-Computing - Proceedings of ICAISC 2006. LNAI, 4029 4029 (). Berlin, Heidelberg, 2006 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982120Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance LearningPUB | DOI
Villmann, T., Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning. Fourth International Conference on Machine Learning and Applications (ICMLA'05) (). , 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993624Self Organizing Maps for Time SeriesPUB
Hammer, Barbara, Self Organizing Maps for Time Series. Proceedings of WSOM 2005 (). , 2005 -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994057Merge SOM for temporal dataPUB | DOI | WoS
Strickert, M., Merge SOM for temporal data. Neurocomputing 64 (). , 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994172Fuzzy Labeled Neural GAS for Fuzzy ClassificationPUB
Villmann, Th., Fuzzy Labeled Neural GAS for Fuzzy Classification. Proceedings of the 5th Workshop on Self-Organizing Maps [on CD-ROM] (). Paris, France, 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993305The dynamics of Learning Vector QuantizationPUB
Biehl, M., The dynamics of Learning Vector Quantization. ESANN'05 (). Evere, 2005 -
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2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993406On approximate learning by multi-layered feedforward circuitsPUB | DOI | WoS
DasGupta, Bhaskar, On approximate learning by multi-layered feedforward circuits. Theoretical Computer Science 348 (1). , 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993444Dynamical Analysis of LVQ type learning rulesPUB
Ghosh, A., Dynamical Analysis of LVQ type learning rules. Proceedings of WSOM (). , 2005 -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993641Universal approximation capability of cascade correlation for structuresPUB | DOI | WoS
Hammer, Barbara, Universal approximation capability of cascade correlation for structures. Neural Computation 17 (5). , 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993665Relevance learning for mental disease classificationPUB
Hammer, Barbara, Relevance learning for mental disease classification. ESANN'05 (). , 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994118Relevance determination in reinforcement learningPUB
Tluk von Toschanowitz, Katharina, Relevance determination in reinforcement learning. ESANN'05 (). , 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994219Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector QuantizationPUB
Villmann, T., Fuzzy Classification for Classification of Mass Spectrometric Data Based on Learning Vector Quantization. International Workshop on Integrative Bioinformatics (). , 2005 -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993396New Aspects in Neurocomputing.PUB | DOI | WoS
Cottrell, Marie, New Aspects in Neurocomputing.. Neurocomputing 63 (). , 2005 -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993416Improving iterative repair strategies for scheduling with the SVMPUB | DOI | WoS
Gersmann, K., Improving iterative repair strategies for scheduling with the SVM. Neurocomputing 63 (). , 2005 -
2005 | Report | Veröffentlicht | PUB-ID: 1993675On the Generalization Ability of Prototype-Based Classifiers with Local Relevance DeterminationPUB
Hammer, Barbara, On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination. (). Clausthal-Zellerfeld, 2005 -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993721Supervised neural gas with general similarity measurePUB | DOI | WoS
Hammer, Barbara, Supervised neural gas with general similarity measure. Neural Processing Letters 21 (1). , 2005 -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993671Special issue on neural networks and kernel methods for structured domainsPUB | DOI | WoS | PubMed | Europe PMC
Hammer, Barbara, Special issue on neural networks and kernel methods for structured domains. Neural Networks 18 (8). , 2005 -
2005 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993710Prototype based recognition of splice sitesPUB
Hammer, Barbara, Prototype based recognition of splice sites. Bioinformatics using computational intelligence paradigms (). Berlin, 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993974Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic DataPUB | DOI
Schleif, Frank-Michael, Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data. Proceedings of the 6th Workshop on Fuzzy Logic and Applications (). Berlin, Heidelberg, 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994249Fuzzy labeled soft nearest neighbor classification with relevance learningPUB
Villmann, T., Fuzzy labeled soft nearest neighbor classification with relevance learning. Proceedings of the International Conference of Machine Learning Applications (). Los Angeles, 2005 -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993717On the generalization ability of GRLVQ networksPUB | DOI | WoS
Hammer, Barbara, On the generalization ability of GRLVQ networks. Neural Processing Letters 21 (2). , 2005 -
2005 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993750Classification using non standard metricsPUB
Hammer, Barbara, Classification using non standard metrics. ESANN'05 (). Brussels, 2005 -
2005 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994063Unsupervised recursive sequences processingPUB | DOI | WoS
Strickert, M., Unsupervised recursive sequences processing. Neurocomputing 63 (). , 2005 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982121A reinforcement learning algorithm to improve scheduling search heuristics with the SVMPUB | DOI
Gersmann, K., A reinforcement learning algorithm to improve scheduling search heuristics with the SVM. 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541) 3 (). , 2004 -
2004 | Report | Veröffentlicht | PUB-ID: 1993732A mathematical characterization of the architectural bias of recursive modelsPUB
Hammer, Barbara, A mathematical characterization of the architectural bias of recursive models. (). Osnabrück, 2004 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994168Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment DetectionPUB
Villmann, T., Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection. Proceedings of Selbstorganisation Von Adaptivem Verfahren. Fortschritts-Berichte VDI Reihe 10, Nr. 742 (). , 2004 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994111Mapping the Design Space of Reinforcement Learning Problems - a Case StudyPUB
Tluk von Toschanowitz, Katharina, Mapping the Design Space of Reinforcement Learning Problems - a Case Study. SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior (). , 2004 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994212Metric adaptation for optimal feature classification in learning vector quantization applied to environment detectionPUB
Villmann, T., Metric adaptation for optimal feature classification in learning vector quantization applied to environment detection. SOAVE 2004, 3rd Workshop on SelfOrganization of AdaptiVE Behavior (). , 2004 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993620Neural methods for non-standard dataPUB
Hammer, Barbara, Neural methods for non-standard data. European Symposium on Artificial Neural Networks'2004 (). , 2004 -
2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993649Recursive self-organizing network modelsPUB | DOI | WoS | PubMed | Europe PMC
Hammer, Barbara, Recursive self-organizing network models. Neural Networks 17 (8-9). , 2004 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993702Relevance LVQ versus SVMPUB
Hammer, Barbara, Relevance LVQ versus SVM. Artificial Intelligence and Softcomputing, Lecture Notes in Artificial Intelligence, 3070 (). Berlin, 2004 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993419A reinforcement learning algorithm to improve scheduling search heuristics with the SVMPUB
Gersmann, K., A reinforcement learning algorithm to improve scheduling search heuristics with the SVM. IJCNN (). , 2004 -
2004 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993654A general framework for unsupervised processing of structured dataPUB | DOI | WoS
Hammer, Barbara, A general framework for unsupervised processing of structured data. Neurocomputing 57 (). , 2004 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993870Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric DataPUB
Schleif, Frank-Michael, Supervised Relevance Neural Gas and Unified Maximum Separability Analysis for Classification of Mass Spectrometric Data. Proceedings of the 3rd International Conference on Machine Learning and Applications (ICMLA) 2004 (). Los Alamitos, CA, USA, 2004 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994049Self-organizing context learningPUB
Strickert, M., Self-organizing context learning. European Symposium on Artificial Neural Networks (). , 2004 -
2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994099On early stages of learning in connectionist models with feedback connectionsPUB
Tino, P., On early stages of learning in connectionist models with feedback connections. Compositional Connectionism in Cognitive Science (). , 2004 -
2003 | Preprint | PUB-ID: 2999891
Mathematical Aspects of Neural Netorks (Habilitation)PUB | PDF
Hammer, Barbara, Mathematical Aspects of Neural Netorks (Habilitation). Habilitationsschrift (kumulativ) (). , 2003 -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982124Recurrent Neural Networks with Small Weights Implement Definite Memory MachinesPUB | DOI
Hammer, Barbara, Recurrent Neural Networks with Small Weights Implement Definite Memory Machines. Neural Computation 15 (8). , 2003 -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982123Neural maps in remote sensing image analysisPUB | DOI
Villmann, Thomas, Neural maps in remote sensing image analysis. Neural Networks 16 (3-4). , 2003 -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982122Architectural Bias in Recurrent Neural Networks: Fractal AnalysisPUB | DOI
Tiňo, Peter, Architectural Bias in Recurrent Neural Networks: Fractal Analysis. Neural Computation 15 (8). , 2003 -
2003 | Report | Veröffentlicht | PUB-ID: 1993725On the generalization ability of GRLVQPUB
Hammer, Barbara, On the generalization ability of GRLVQ. (). Osnabrück, 2003 -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994108Architectural Bias in Recurrent Neural Networks: Fractal AnalysisPUB
Tiño, Peter, Architectural Bias in Recurrent Neural Networks: Fractal Analysis. Neural Computation 15 (8). , 2003 -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994223Supervised Neural Gas and Relevance Learning in Learning Vector QuantizationPUB
Villmann, Th., Supervised Neural Gas and Relevance Learning in Learning Vector Quantization. Proceedings of the 4th Workshop on Self Organizing Maps [on CD-ROM] (). Hibikino, Kitakyushu, Japan, 2003 -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993338Monitoring technical systems with prototype based clusteringPUB
Bojer, Thorsten, Monitoring technical systems with prototype based clustering. ESANN 2003, 10th European Symposium on Artificial Neural Network. Proceedings (). Evere, 2003 -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993530A Note on the Universal Approximation Capability of Support Vector MachinesPUB
Hammer, Barbara, A Note on the Universal Approximation Capability of Support Vector Machines. Neural Processing Letters 17 (1). , 2003 -
2003 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993487Perspectives on learning symbolic data with connectionistic systemsPUB
Hammer, Barbara, Perspectives on learning symbolic data with connectionistic systems. Adaptivity and Learning (). Berlin, 2003 -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993754Mathematical Aspects of Neural NetworksPUB
Hammer, Barbara, Mathematical Aspects of Neural Networks. Proc. Of European Symposium on Artificial Neural Networks (ESANN'2003) (). Brussels, Belgium, 2003 -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994053Unsupervised recursive sequence processingPUB
Strickert, Marc, Unsupervised recursive sequence processing. 10th European Symposium on Artificial Neural Networks. Proceedings (). , 2003 -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994060Neural Gas for SequencesPUB
Strickert, M., Neural Gas for Sequences. WSOM'03 (). , 2003 -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993412Improving iterative repair strategies for scheduling with the SVMPUB
Gersmann, Kai, Improving iterative repair strategies for scheduling with the SVM. ESANN 2003, 10th European Symposium on Artificial Neural Networks. Proceedings (). Evere, 2003 -
2003 | Report | Veröffentlicht | PUB-ID: 1993645A general framework for self-organizing structure processing neural networksPUB
Hammer, Barbara, A general framework for self-organizing structure processing neural networks. (). Pisa, 2003 -
2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993349Determining Relevant Input Dimensions for the Self-Organizing MapPUB
Bojer, T., Determining Relevant Input Dimensions for the Self-Organizing Map. Neural Networks and Soft Computing (Proc. ICNNSC 2002) (). , 2003 -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993736Recurrent Neural Networks with Small Weights Implement Definite Memory MachinesPUB
Hammer, Barbara, Recurrent Neural Networks with Small Weights Implement Definite Memory Machines. Neural Computation 15 (8). , 2003 -
2003 | Report | Veröffentlicht | PUB-ID: 1994157Metric adaptation and relevance learning in learning vector quantizationPUB
Villmann, T., Metric adaptation and relevance learning in learning vector quantization. (). Osnabrück, 2003 -
2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994208Neural maps in remote sensing image analysisPUB
Villmann, Th., Neural maps in remote sensing image analysis. Neural Networks 16 (3-4). , 2003 -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982126Recurrent networks for structured data – A unifying approach and its propertiesPUB | DOI
Hammer, Barbara, Recurrent networks for structured data – A unifying approach and its properties. Cognitive Systems Research 3 (2). , 2002 -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982125Generalized relevance learning vector quantizationPUB | DOI
Hammer, Barbara, Generalized relevance learning vector quantization. Neural Networks 15 (8-9). , 2002 -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993636A general framework for unsupervised processing of structured dataPUB
Hammer, Barbara, A general framework for unsupervised processing of structured data. ESANN 2002, 10th European Symposium on Artificial Neural Network. Proceedings (). , 2002 -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994095Architectural bias in recurrent neural networks – fractal analysisPUB
Tino, P., Architectural bias in recurrent neural networks – fractal analysis. Proc. International Conf. on Artificial Neural Networks. Lecture Notes in Computer Science, 2415 (). Berlin, 2002 -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994146Supervised Neural Gas for Learning Vector QuantizationPUB
Villmann, Th., Supervised Neural Gas for Learning Vector Quantization. Proc. of the 5th German Workshop on Artificial Life (). Berlin, 2002 -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993688Perspectives on Learning with Recurrent Neural NetworksPUB
Hammer, Barbara, Perspectives on Learning with Recurrent Neural Networks. Proc. European Symposium Artificial Neural Networks (). , 2002 -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993758Batch-GRLVQPUB
Hammer, Barbara, Batch-GRLVQ. Proc. Of European Symposium on Artificial Neural Networks (ESANN'2002) (). Brussels, Belgium, 2002 -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993765Generalized Relevance Learning Vector QuantizationPUB
Hammer, Barbara, Generalized Relevance Learning Vector Quantization. Neural Networks 15 (8-9). , 2002 -
2002 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993471Compositionality in Neural SystemsPUB
Hammer, Barbara, Compositionality in Neural Systems. Handbook of Brain Theory and Neural Networks (). , 2002 -
2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993508Recurrent neural networks for structured data – a unifying approach and its propertiesPUB
Hammer, Barbara, Recurrent neural networks for structured data – a unifying approach and its properties. Cognitive Systems Research 3 (2). , 2002 -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993692Learning Vector Quantization for Multimodal DataPUB
Hammer, Barbara, Learning Vector Quantization for Multimodal Data. Proc. International Conf. on Artificial Neural Networks (ICANN). Lecture Notes in Computer Science, 2415 (). Berlin, 2002 -
2002 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993697Rule Extraction from Self-Organizing NetworksPUB
Hammer, Barbara, Rule Extraction from Self-Organizing Networks. Proc. International Conf. on Artificial Neural Networks (ICANN). Lecture Notes in Computer Science, 2415 (). Berlin, 2002 -
2002 | Report | Veröffentlicht | PUB-ID: 1993729Neural networks with small weights implement finite memory machinesPUB
Hammer, Barbara, Neural networks with small weights implement finite memory machines. (). Osnabrück, 2002 -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982130On the Generalization Ability of Recurrent NetworksPUB | DOI
Hammer, Barbara, On the Generalization Ability of Recurrent Networks. Artificial Neural Networks — ICANN 2001 2130 (). Berlin, Heidelberg, 2001 -
2001 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982129Generalized Relevance LVQ for Time SeriesPUB | DOI
Strickert, Marc, Generalized Relevance LVQ for Time Series. Artificial Neural Networks — ICANN 2001 (). Berlin, Heidelberg, 2001 -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982128Generalization ability of folding networksPUB | DOI
Hammer, Barbara, Generalization ability of folding networks. IEEE Transactions on Knowledge and Data Engineering 13 (2). , 2001 -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982127Closure properties of uniform convergence of empirical means and PAC learnability under a family of probability measuresPUB | DOI
Vidyasagar, M., Closure properties of uniform convergence of empirical means and PAC learnability under a family of probability measures. Systems & Control Letters 42 (2). , 2001 -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993768Input Pruning for Neural Gas ArchitecturesPUB
Hammer, Barbara, Input Pruning for Neural Gas Architectures. Proc. Of European Symposium on Artificial Neural Networks (ESANN'2001) (). Brussels, Belgium, 2001 -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993343Relevance determination in learning vector quantizationPUB
Bojer, T., Relevance determination in learning vector quantization. ESANN'2001 (). , 2001 -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1994123Closure properties of uniform convergence of empirical means and PAC learnability under a family of probability measuresPUB
Vidyasagar, M., Closure properties of uniform convergence of empirical means and PAC learnability under a family of probability measures. System and Control Letters 42 (). , 2001 -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993474On the Generalization Ability of Recurrent NetworksPUB
Hammer, Barbara, On the Generalization Ability of Recurrent Networks. Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130 (). Berlin, 2001 -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993739Estimating Relevant Input Dimensions for Self-Organizing AlgorithmsPUB
Hammer, Barbara, Estimating Relevant Input Dimensions for Self-Organizing Algorithms. Advances in Self-Organising Maps (). London, 2001 -
2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1994042Generalized Relevance LVQ for Time SeriesPUB
Strickert, Marc, Generalized Relevance LVQ for Time Series. Artificial Neural Networks. International Conference. Proceedings. Lecture Notes in Computer Science, 2130 (). Berlin, 2001 -
2001 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993510Generalization Ability of Folding Networks.PUB
Hammer, Barbara, Generalization Ability of Folding Networks.. IEEE Trans. Knowl. Data Eng. 13 (2). , 2001 -
2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982131On the approximation capability of recurrent neural networksPUB | DOI
Hammer, Barbara, On the approximation capability of recurrent neural networks. Neurocomputing 31 (1-4). , 2000 -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993499Limitations of hybrid systemsPUB
Hammer, Barbara, Limitations of hybrid systems. European Symposium on Artificial Neural Networks (). , 2000 -
2000 | Monographie | Veröffentlicht | PUB-ID: 1993514Learning with Recurrent Neural NetworksPUB
Hammer, Barbara, Learning with Recurrent Neural Networks. (). Berlin, 2000 -
2000 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993512On the approximation capability of recurrent neural networksPUB
Hammer, Barbara, On the approximation capability of recurrent neural networks. Neurocomputing 31 (1-4). , 2000 -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993400On Approximate Learning by Multi-layered Feedforward Circuits.PUB
DasGupta, Bhaskar, On Approximate Learning by Multi-layered Feedforward Circuits.. Algorithmic Learning Theory, 11th International Conference. Proceedings. Lecture Notes in Computer Science, 1968 (). Berlin, 2000 -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993479Approximation and generalization issues of recurrent networks dealing with structured dataPUB
Hammer, Barbara, Approximation and generalization issues of recurrent networks dealing with structured data. ECAI workshop: Foundations of connectionist-symbolic integration: representation, paradigms, and algorithms (). , 2000 -
2000 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993495Neural networks classifying symbolic dataPUB
Hammer, Barbara, Neural networks classifying symbolic data. ICML workshop on attribute-value and relational learning: crossing the boundaries (). , 2000 -
1999 | Dissertation | PUB-ID: 2999889
Learning with Recurrent Neural Networks (PhD thesis)PUB | PDF
Hammer, Barbara, Learning with Recurrent Neural Networks (PhD thesis). (). Universität Osnabrück, 1999 -
1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982132On the Learnability of Recursive DataPUB | DOI
Hammer, Barbara, On the Learnability of Recursive Data. Mathematics of Control, Signals, and Systems 12 (1). , 1999 -
1999 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1993516On the learnability of recursive dataPUB
Hammer, Barbara, On the learnability of recursive data. Mathematics of Control, Signals and Systems 12 (). , 1999 -
1999 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993502Approximation capabilities of folding networksPUB
Hammer, Barbara, Approximation capabilities of folding networks. European Symposium on Artificial Neural Networks (). , 1999 -
1999 | Report | Veröffentlicht | PUB-ID: 1993409Hardness of approximation of the loading problem for multi-layered feedforward neural networksPUB
DasGupta, B., Hardness of approximation of the loading problem for multi-layered feedforward neural networks. (). , 1999 -
1998 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993484On the Approximation Capability of Recurrent Neural NetworksPUB
Hammer, Barbara, On the Approximation Capability of Recurrent Neural Networks. Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998) (). , 1998 -
1998 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993505Training a sigmoidal network is difficultPUB
Hammer, Barbara, Training a sigmoidal network is difficult. European Symposium on Artificial Neural Networks (). , 1998 -
1998 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993518Some complexity results for perceptron networksPUB
Hammer, Barbara, Some complexity results for perceptron networks. International Conference on artificial Neural Networks (). , 1998 -
1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993526Generalization of Elman NetworksPUB
Hammer, Barbara, Generalization of Elman Networks. Artificial Neural Networks - ICANN '97, 7th International Conference. Proceedings. Lecture Notes in Computer Science, 1327 (). Berlin, 1997 -
1997 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993684Neural networks can approximate mappings on structured objectsPUB
Hammer, Barbara, Neural networks can approximate mappings on structured objects. International conference on Computational Intelligence and Neural Networks (). , 1997 -
1997 | Report | Veröffentlicht | PUB-ID: 1993524On the generalization ability of simple recurrent neural networksPUB
Hammer, Barbara, On the generalization ability of simple recurrent neural networks. (). Osnabrück, 1997 -
1997 | Report | Veröffentlicht | PUB-ID: 1993520Learning recursive data is intractablePUB
Hammer, Barbara, Learning recursive data is intractable. (). Osnabrück, 1997 -
1997 | Report | Veröffentlicht | PUB-ID: 1993522A NP-hardness result for a sigmoidal 3-node neural networkPUB
Hammer, Barbara, A NP-hardness result for a sigmoidal 3-node neural network. (). Osnabrück, 1997 -
1996 | Report | Veröffentlicht | PUB-ID: 1993528Universal approximation of mappings on structured objects using the folding architecturePUB
Hammer, Barbara, Universal approximation of mappings on structured objects using the folding architecture. (). Osnabrück, 1996 -
1996 | Monographie | Veröffentlicht | PUB-ID: 1994039Theoretische Informatik. Eine problemorientierte EinführungPUB
Sperschneider, V., Theoretische Informatik. Eine problemorientierte Einführung. (). erlin, 1996