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Barbara Hammer

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

260

Venues

45

Active years

1997–2026

Best venue rank

A*

Where they publish

Papers

260 indexed papers, newest first.

YearVenueTitleAuthors
2026ESANNReal vs. Virtual Drift: Creating Realistic Stream Learning Benchmarks.Fabian Hinder, Johannes Brinkrolf, Kathrin Lammers, Barbara Hammer
2026ESANNDrift Localization using Conformal Predictions.Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2026ESANNReliable Counterfactuals for Machine Learning Models - Current Aspects and Perspectives.Marika Kaden, Benjamin Paassen, Barbara Hammer, Ronny Schubert, Thomas Villmann
2026ESANNDrift-Aware Evaluation of Fair Stream Learning.Kathrin Lammers, Fabian Hinder, Barbara Hammer, Valerie Vaquet
2026ESANNA Possible Human-Centered Embedding Space Search in Degenerate Clifford Algebras.Isaac Roberts, Louis Mozart Kamdem Teyou, Alexander Schulz, N'Dah Jean Kouagou, Axel-Cyrille Ngonga Ngomo, Barbara Hammer
2026ESANNBut Are These Images Conceptually Similar?Isaac Roberts, Riza Velioglu, Inaam Ashraf, Luca Hermes, Barbara Hammer
2026ESANNLinearity of Sensitive Concepts in Language Models.Sarah Schrder, Valerie Vaquet, Barbara Hammer
2026GECCOAnalysis of Search Heuristics in the Multi-Armed Bandit Setting.Jasmin Brandt, Barbara Hammer, Timo Ktzing, Jurek Sander
2025AISTATSUnifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory.Fabian Fumagalli, Maximilian Muschalik, Eyke Hllermeier, Barbara Hammer, Julia Herbinger
2025EMNLPInvestigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions.Meghdut Sengupta, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hllermeier, Debanjan Ghosh, Henning Wachsmuth
2025ESANNDon't drift away: Advances and Applications of Streaming and Continual Learning.Andrea Cossu, Davide Bacciu, Alessio Bernardo, Emanuele Della Valle, Alexander Gepperth, Federico Giannini, Barbara Hammer, Giacomo Ziffer
2025ESANNAdversarial Attacks for Drift Detection.Fabian Hinder, Valerie Vaquet, Barbara Hammer
2025ESANNJEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning.Tristan Kenneweg, Philip Kenneweg, Barbara Hammer
2025ESANNConceptualizing Concept Drift.Isaac Roberts, Fabian Hinder, Valerie Vaquet, Alexander Schulz, Barbara Hammer
2025ESANNEvaluating Concept Discovery Methods for Sensitive Attributes in Language Models.Sarah Schrder, Alexander Schulz, Barbara Hammer
2025ESANNSolving Turbulent Rayleigh-Bnard Convection using Fourier Neural Operators.Michiel Straat, Thorben Markmann, Barbara Hammer
2025ESANNCompression-basedValerie Vaquet, Jonas Vaquet, Fabian Hinder, Barbara Hammer
2025ESANNExplaining Outliers using Isolation Forest and Shapley Interactions.Roel Visser, Fabian Fumagalli, Maximilian Muschalik, Eyke Hllermeier, Barbara Hammer
2025GITo Pump or Not to Pump - Sensor-based Reinforcement Learning for an Optimal Scheduler.Alissa Mller, Paul Stahlhofen, Barbara Hammer
2025ICANNContinuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced Data.Kathrin Lammers, Valerie Vaquet, Barbara Hammer
2025ICANNStudying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals.Andreas Mazur, Henning Peters, Andr Artelt, Lukas Koller, Christoph Hartmann, Ansgar Trchtler, Barbara Hammer
2025ICCVMGT: Extending Virtual Try-Off to Multi-Garment Scenarios.Riza Velioglu, Petra Bevandic, Robin Chan, Barbara Hammer
2025ICLRExact Computation of Any-Order Shapley Interactions for Graph Neural Networks.Maximilian Muschalik, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hllermeier, Barbara Hammer
2025IJCNNScalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems.Inaam Ashraf, Andr Artelt, Barbara Hammer
2025IJCNNEnergy Efficient Online Stream Classification under Concept Drift on FPGAs for Edge Computing.Jonas Vaquet, Florian Porrmann, Sarah Pilz, Valerie Vaquet, Jens Hagemeyer, Ulrich Rckert, Barbara Hammer
2025IJCNNRobust Individual Sensor Placement by Means of Domain-informed Adversarial Training.Markus Vieth, Barbara Hammer
2025ISVCUncertainty-Aware Remaining Lifespan Prediction from Images.Tristan Kenneweg, Philip Kenneweg, Barbara Hammer
2025NAACLAdaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection.Maximilian Spliethver, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik, Barbara Hammer, Eyke Hllermeier, Henning Wachsmuth
2024AAAIPhysics-Informed Graph Neural Networks for Water Distribution Systems.Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer
2024AAAIBeyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hllermeier
2024AISTATSSVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification.Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hllermeier
2024ESANNTrust in Artificial Intelligence: Beyond Interpretability.Tassadit Bouadi, Benot Frnay, Luis Galrraga, Pierre Geurts, Barbara Hammer, Gilles Perrouin
2024ESANNCauses of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty.Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Barbara Hammer
2024ESANNOn the Fine Structure of Drifting Features.Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024ESANNNoise Robust One-Class Intrusion Detection on Dynamic Graphs.Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer
2024ESANNVisualizing and Improving 3D Mesh Segmentation with DeepView.Andreas Mazur, Isaac Roberts, David P. Leins, Alexander Schulz, Barbara Hammer
2024ESANNMachine learning in distributed, federated and non-stationary environments - recent trends.Mirko Polato, Barbara Hammer, Frank-Michael Schleif
2024ESANNSelf-Supervised Learning from Incrementally Drifting Data Streams.Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
2024ESANNSimilarity-Based Zero-Shot Domain Adaptation for Wearables.Markus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer
2024ICANNChallenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks.Valerie Vaquet, Fabian Hinder, Andr Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2024ICMLKernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hllermeier, Barbara Hammer
2024IJCNNFederated Loss Exploration for Improved Convergence on Non-IID Data.Christian Intern, Markus Olhofer, Yaochu Jin, Barbara Hammer
2024ICPRAMSemantic Properties of Cosine Based Bias Scores for Word Embeddings.Sarah Schrder, Alexander Schulz, Fabian Hinder, Barbara Hammer
2024ICPRAMInvestigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks.Valerie Vaquet, Fabian Hinder, Barbara Hammer
2024IJCNNNo learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation.Philip Kenneweg, Tristan Kenneweg, Fabian Fumagalli, Barbara Hammer
2024IJCNNKoopman-Based Surrogate Modelling of Turbulent Rayleigh-Bnard Convection.Thorben Markmann, Michiel Straat, Barbara Hammer
2024IJCNNThe SAME score: Improved cosine based measure for semantic bias.Sarah Schrder, Alexander Schulz, Barbara Hammer
2024IJCNNLocalizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations.Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Kathrin Lammers, Lars Quakernack, Barbara Hammer
2024IJCNNFashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation.Riza Velioglu, Robin Chan, Barbara Hammer
2024IDAA Remark on Concept Drift for Dependent Data.Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024IDEALTowards Reliable Drift Detection and Explanation in Text Data.Robert Feldhans, Barbara Hammer
2023ESANNOn Feature Removal for Explainability in Dynamic Environments.Fabian Fumagalli, Maximilian Muschalik, Eyke Hllermeier, Barbara Hammer
2023ESANNFeature Selection for Concept Drift Detection.Fabian Hinder, Barbara Hammer
2023ESANNRobust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts.Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023EuroSysBest of both, Structured and Unstructured Sparsity in Neural Networks.Christoph Schulte, Sven Wagner, Armin Runge, Dimitrios Bariamis, Barbara Hammer
2023ICANNOne-Class Intrusion Detection with Dynamic Graphs.Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer
2023ICPRAM"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction.Andr Artelt, Alexander Schulz, Barbara Hammer
2023ICPRAMOn the Hardness and Necessity of Supervised Concept Drift Detection.Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023ICPRAMDebiasing Sentence Embedders Through Contrastive Word Pairs.Philip Kenneweg, Sarah Schrder, Alexander Schulz, Barbara Hammer
2023ICPRAMSo Can We Use Intrinsic Bias Measures or Not?Sarah Schrder, Alexander Schulz, Philip Kenneweg, Barbara Hammer
2023IJCNNFaster Convergence for Transformer Fine-tuning with Line Search Methods.Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer
2023IDASpatial Graph Convolution Neural Networks for Water Distribution Systems.Inaam Ashraf, Luca Hermes, Andr Artelt, Barbara Hammer
2023IDAOn the Change of Decision Boundary and Loss in Learning with Concept Drift.Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023IWANNMeasuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation.Sarah Schrder, Alexander Schulz, Ivan Tarakanov, Robert Feldhans, Barbara Hammer
2023IWANNAdversarial Attacks on Leakage Detectors in Water Distribution Networks.Paul Stahlhofen, Andr Artelt, Luca Hermes, Barbara Hammer
2023IWANNFairness-Enhancing Ensemble Classification in Water Distribution Networks.Janine Strotherm, Barbara Hammer
2023IWANNExtending Drift Detection Methods to Identify When Exactly the Change Happened.Markus Vieth, Alexander Schulz, Barbara Hammer
2022ESANNModel Agnostic Local Explanations of Reject.Andr Artelt, Roel Visser, Barbara Hammer
2022ESANNFederated learning vector quantization for dealing with drift between nodes.Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer
2022ESANNContrasting Explanation of Concept Drift.Fabian Hinder, Andr Artelt, Valerie Vaquet, Barbara Hammer
2022ESANNNeural Architecture Search for Sentence Classification with BERT.Philip Kenneweg, Sarah Schrder, Barbara Hammer
2022ESANNImproving Zorro Explanations for Sparse Observations with Dense Proxy Data.Andreas Mazur, Andr Artelt, Barbara Hammer
2022ESANNFrom hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer.Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert
2022ICANNStream-Based Active Learning with Verification Latency in Non-stationary Environments.Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2022ICANNFeature Selection for Trustworthy Regression Using Higher Moments.Fabian Hinder, Johannes Brinkrolf, Barbara Hammer
2022ICANNSAM-kNN Regressor for Online Learning in Water Distribution Networks.Jonathan Jakob, Andr Artelt, Martina Hasenjger, Barbara Hammer
2022ICANNReject Options for Incremental Regression Scenarios.Jonathan Jakob, Martina Hasenjger, Barbara Hammer
2022ICANNTaking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks.Valerie Vaquet, Andr Artelt, Johannes Brinkrolf, Barbara Hammer
2022IJCCIExplaining Reject Options of Learning Vector Quantization Classifiers.Andr Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer
2022IJCNNA Graph-based U-Net Model for Predicting Traffic in unseen Cities.Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling
2022IJCNNLocalization of Concept Drift: Identifying the Drifting Datapoints.Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Andr Artelt, Barbara Hammer
2022ICPRAMSingle-step Adversarial Training for Semantic Segmentation.Daniel Wiens, Barbara Hammer
2022IJCNNImpact of different loss functions on denoising of microscopic images.Zafran Hussain Shah, Marcel Mller, Barbara Hammer, Thomas Huser, Wolfram Schenck
2022IDASuitability of Different Metric Choices for Concept Drift Detection.Fabian Hinder, Valerie Vaquet, Barbara Hammer
2022IDEALIntelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers.Philip Kenneweg, Alexander Schulz, Sarah Schrder, Barbara Hammer
2022IDEALExplainable Artificial Intelligence for Improved Modeling of Processes.Riza Velioglu, Jan Philip Gpfert, Andr Artelt, Barbara Hammer
2022IDEALEfficient Sensor Selection for Individualized Prediction Based on Biosignals.Markus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer
2021ESANNFederated Learning Vector Quantization.Johannes Brinkrolf, Barbara Hammer
2021ESANNMachine Learning for Measuring and Analyzing Online Social Communications.Chris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer
2021ESANNApplication of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting.Luca Hermes, Barbara Hammer, Malte Schilling
2021ESANNConcept Drift Segmentation via Kolmogorov-Trees.Fabian Hinder, Barbara Hammer
2021ESANNInvestigating Intensity and Transversal Drift in Hyperspectral Imaging Data.Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
2021ICLRGraph Edit Networks.Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer
2021IJCCIMachine Learning in Non-Stationary Environments.Barbara Hammer
2021IJCNNEfficient computation of contrastive explanations.Andr Artelt, Barbara Hammer
2021IDEALDrift Detection in Text Data with Document Embeddings.Robert Feldhans, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, Eyke Hllermeier
2021IDEALAutoML Technologies for the Identification of Sparse Models.Aleksei Liuliakov, Barbara Hammer
2021IWANNContrastive Explanations for Explaining Model Adaptations.Andr Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
2021IWANNVoxel-Based Three-Dimensional Neural Style Transfer.Timo Friedrich, Barbara Hammer, Stefan Menzel
2020ESANNEfficient computation of counterfactual explanations of LVQ models.Andr Artelt, Barbara Hammer
2020ESANNSparse Metric Learning in Prototype-based Classification.Johannes Brinkrolf, Barbara Hammer
2020ESANNLocally Adaptive Nearest Neighbors.Jan Philip Gpfert, Heiko Wersing, Barbara Hammer
2020ICANNConvex Density Constraints for Computing Plausible Counterfactual Explanations.Andr Artelt, Barbara Hammer
2020ICANNExplaining Concept Drift by Mean of Direction.Fabian Hinder, Johannes Kummert, Barbara Hammer
2020ICANNBalanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data.Valerie Vaquet, Barbara Hammer
2020ICMLTowards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD).Fabian Hinder, Andr Artelt, Barbara Hammer
2020IJCAIDeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction.Alexander Schulz, Fabian Hinder, Barbara Hammer
2020IJCNNRandomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift.Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet
2020IDAAdversarial Attacks Hidden in Plain Sight.Jan Philip Gpfert, Andr Artelt, Heiko Wersing, Barbara Hammer
2019CIBCBFRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration.Lukas Pfannschmidt, Christina Gpfert, Ursula Neumann, Dominik Heider, Barbara Hammer
2019CIKMInterpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection.Babak Hosseini, Barbara Hammer
2019ESANNRecent trends in streaming data analysis, concept drift and analysis of dynamic data sets.Albert Bifet, Barbara Hammer, Frank-Michael Schleif
2019ESANNMultiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series.Babak Hosseini, Barbara Hammer
2019ESANNFeature relevance bounds for ordinal regression.Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tio, Barbara Hammer
2019ICANNRecovering Localized Adversarial Attacks.Jan Philip Gpfert, Heiko Wersing, Barbara Hammer
2019ICDMDeep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation.Babak Hosseini, Romain Montagn, Barbara Hammer
2019IJCNNLarge-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning.Babak Hosseini, Barbara Hammer
2019ICRAPersonalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units.Viktor Losing, Taizo Yoshikawa, Martina Hasenjger, Barbara Hammer, Heiko Wersing
2018ESANNDifferential private relevance learning.Johannes Brinkrolf, Kolja Berger, Barbara Hammer
2018ESANNFeasibility based Large Margin Nearest Neighbor metric learning.Babak Hosseini, Barbara Hammer
2018ICANNMitigating Concept Drift via Rejection.Jan Philip Gpfert, Barbara Hammer, Heiko Wersing
2018ICDMConfident Kernel Sparse Coding and Dictionary Learning.Babak Hosseini, Barbara Hammer
2018ICDMEnhancing Very Fast Decision Trees with Local Split-Time Predictions.Viktor Losing, Heiko Wersing, Barbara Hammer
2018ICMLTree Edit Distance Learning via Adaptive Symbol Embeddings.Benjamin Paaen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
2018INDINGeneration of Adversarial Examples to Prevent Misclassification of Deep Neural Network based Condition Monitoring Systems for Cyber-Physical Production Systems.Felix Specht, Jens Otto, Oliver Niggemann, Barbara Hammer
2018IDANon-negative Local Sparse Coding for Subspace Clustering.Babak Hosseini, Barbara Hammer
2018IDEALInferring Temporal Structure from Predictability in Bumblebee Learning Flight.Stefan Meyer, Olivier J. N. Bertrand, Martin Egelhaaf, Barbara Hammer
2018IECONA Geometric Approach to Clustering Based Anomaly Detection for Industrial Applications.Peng Li, Oliver Niggemann, Barbara Hammer
2017AIMEEcho State Networks as Novel Approach for Low-Cost Myoelectric Control.Cosima Prahm, Alexander Schulz, Benjamin Paaen, Oskar Aszmann, Barbara Hammer, Georg Dorffner
2017ESANNFeature Relevance Bounds for Linear Classification.Christina Gpfert, Lukas Pfannschmidt, Barbara Hammer
2017ESANNAn EM transfer learning algorithm with applications in bionic hand prostheses.Benjamin Paassen, Alexander Schulz, Janne Hahne, Barbara Hammer
2017IJCAISelf-Adjusting Memory: How to Deal with Diverse Drift Types.Viktor Losing, Barbara Hammer, Heiko Wersing
2017IJCNNLabel-noise-tolerant classification for streaming data.Benot Frnay, Barbara Hammer
2016EDMExecution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming.Benjamin Paaen, Joris Jensen, Barbara Hammer
2016ESANNDiscriminative dimensionality reduction in kernel space.Alexander Schulz, Barbara Hammer
2016ESANNIncremental learning algorithms and applications.Alexander Gepperth, Barbara Hammer
2016ESANNChoosing the best algorithm for an incremental on-line learning task.Viktor Losing, Barbara Hammer, Heiko Wersing
2016ESANNGaussian process prediction for time series of structured data.Benjamin Paassen, Christina Gpfert, Barbara Hammer
2016ICANNConvergence of Multi-pass Large Margin Nearest Neighbor Metric Learning.Christina Gpfert, Benjamin Paassen, Barbara Hammer
2016ICANNNon-negative Kernel Sparse Coding for the Analysis of Motion Data.Babak Hosseini, Felix Hlsmann, Mario Botsch, Barbara Hammer
2016ICANNLocal Reject Option for Deterministic Multi-class SVM.Johannes Kummert, Benjamin Paassen, Joris Jensen, Christina Gpfert, Barbara Hammer
2016ICDMKNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift.Viktor Losing, Barbara Hammer, Heiko Wersing
2016IJCNNOnline metric learning for an adaptation to confidence drift.Lydia Fischer, Barbara Hammer, Heiko Wersing
2015CAIPVisualization of Regression Models Using Discriminative Dimensionality Reduction.Alexander Schulz, Barbara Hammer
2015DSAAEfficient metric learning for the analysis of motion data.Babak Hosseini, Barbara Hammer
2015EDMA Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems.Benjamin Paaen, Bassam Mokbel, Barbara Hammer
2015ESANNUnsupervised Dimensionality Reduction for Transfer Learning.Patrick Blbaum, Alexander Schulz, Barbara Hammer
2015ESANNCertainty-based prototype insertion/deletion for classification with metric adaptation.Lydia Fischer, Barbara Hammer, Heiko Wersing
2015ESANNAdaptive structure metrics for automated feedback provision in Java programming.Benjamin Paassen, Bassam Mokbel, Barbara Hammer
2015IJCNNStationarity of Matrix Relevance LVQ.Michael Biehl, Barbara Hammer, Frank-Michael Schleif, Petra Schneider, Thomas Villmann
2015IJCNNCombining offline and online classifiers for life-long learning.Lydia Fischer, Barbara Hammer, Heiko Wersing
2015ICPRAMMetric Learning in Dimensionality Reduction.Alexander Schulz, Barbara Hammer
2015IJCNNInteractive online learning for obstacle classification on a mobile robot.Viktor Losing, Barbara Hammer, Heiko Wersing
2015IJCNNAutomatic discovery of metagenomic structure.Markus Lux, Alexander Sczyrba, Barbara Hammer
2015IJCNNDiscriminative dimensionality reduction for regression problems using the Fisher metric.Alexander Schulz, Barbara Hammer
2014CIDMValid interpretation of feature relevance for linear data mappings.Benot Frnay, Daniela Hofmann, Alexander Schulz, Michael Biehl, Barbara Hammer
2014ESANNRejection strategies for learning vector quantization.Lydia Fischer, Barbara Hammer, Heiko Wersing
2014ESANNLearning and modeling big data.Barbara Hammer, Haibo He, Thomas Martinetz
2014ESANNAdaptive distance measures for sequential data.Bassam Mokbel, Benjamin Paaen, Barbara Hammer
2014ESANNSupervised Generative Models for Learning Dissimilarity Data.David Nebel, Barbara Hammer, Thomas Villmann
2014ESANNRelevance Learning for Dimensionality Reduction.Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
2014ICANNLocal Rejection Strategies for Learning Vector Quantization.Lydia Fischer, Barbara Hammer, Heiko Wersing
2014ICANNEfficient Adaptation of Structure Metrics in Prototype-Based Classification.Bassam Mokbel, Benjamin Paaen, Barbara Hammer
2014ITSHow to Select an Example? A Comparison of Selection Strategies in Example-Based Learning.Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2013AIEDTowards Providing Feedback to Students in Absence of Formalized Domain Models.Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2013CIDMRegularization and improved interpretation of linear data mappings and adaptive distance measures.Marc Strickert, Barbara Hammer, Thomas Villmann, Michael Biehl
2013EDMDomain-Independent Proximity Measures in Intelligent Tutoring Systems.Bassam Mokbel, Sebastian Gross, Benjamin Paaen, Niels Pinkwart, Barbara Hammer
2013ESANNVisualizing dependencies of spectral features using mutual information.Andrej Gisbrecht, Yoan Mich, Barbara Hammer, Amaury Lendasse
2013ESANNSparse approximations for kernel learning vector quantization.Daniela Hofmann, Barbara Hammer
2013ESANNSemi-Supervised Vector Quantization for proximity data.Xibin Zhu, Frank-Michael Schleif, Barbara Hammer
2013ICALTTowards a Domain-Independent ITS Middleware Architecture.Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2013ICONIPA Median Variant of Generalized Learning Vector Quantization.David Nebel, Barbara Hammer, Thomas Villmann
2013ICPRAMDiscriminative Dimensionality Reduction for the Visualization of Classifiers.Andrej Gisbrecht, Alexander Schulz, Barbara Hammer
2013ICPRAMApplications of Discriminative Dimensionality Reduction.Barbara Hammer, Andrej Gisbrecht, Alexander Schulz
2013IDEALSparse Prototype Representation by Core Sets.Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2013IVNonlinear Dimensionality Reduction for Cluster Identification in Metagenomic Samples.Andrej Gisbrecht, Barbara Hammer, Bassam Mokbel, Alexander Sczyrba
2013IWANNUsing Nonlinear Dimensionality Reduction to Visualize Classifiers.Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
2013IWANNSecure Semi-supervised Vector Quantization for Dissimilarity Data.Xibin Zhu, Frank-Michael Schleif, Barbara Hammer
2012ADBISSoft Competitive Learning for Large Data Sets.Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2012ESANNRecent developments in clustering algorithms.Charles Bouveyron, Barbara Hammer, Thomas Villmann
2012ESANNOut-of-sample kernel extensions for nonparametric dimensionality reduction.Andrej Gisbrecht, Wouter Lueks, Bassam Mokbel, Barbara Hammer
2012ESANNRelevance learning for time series inspection.Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse
2012ESANNVisualizing the quality of dimensionality reduction.Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Michael Biehl, Barbara Hammer
2012HAISWhite Box Classification of Dissimilarity Data.Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
2012ICANNLearning Relevant Time Points for Time-Series Data in the Life Sciences.Frank-Michael Schleif, Bassam Mokbel, Andrej Gisbrecht, Leslie Theunissen, Volker Drr, Barbara Hammer
2012IJCNNLinear basis-function t-SNE for fast nonlinear dimensionality reduction.Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
2012ICPRFast approximated relational and kernel clustering.Frank-Michael Schleif, Xibin Zhu, Andrej Gisbrecht, Barbara Hammer
2012IJCNNRelevance learning for short high-dimensional time series in the life sciences.Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
2012IDADiscriminative Dimensionality Reduction Mappings.Andrej Gisbrecht, Daniela Hofmann, Barbara Hammer
2012ISNNPatch Processing for Relational Learning Vector Quantization.Xibin Zhu, Frank-Michael Schleif, Barbara Hammer
2012ITSCluster Based Feedback Provision Strategies in Intelligent Tutoring Systems.Sebastian Gross, Xibin Zhu, Barbara Hammer, Niels Pinkwart
2011CIBCBAccelerating kernel clustering for biomedical data analysis.Andrej Gisbrecht, Barbara Hammer, Frank-Michael Schleif, Xibin Zhu
2011CIDMDimensionality reduction mappings.Kerstin Bunte, Michael Biehl, Barbara Hammer
2011ESANNSupervised dimension reduction mappings.Kerstin Bunte, Michael Biehl, Barbara Hammer
2011ESANNGeneralized functional relevance learning vector quantization.Marika Kstner, Barbara Hammer, Michael Biehl, Thomas Villmann
2011ESANNPatch Affinity Propagation.Xibin Zhu, Barbara Hammer
2011ICANNAccelerating Kernel Neural Gas.Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
2011ICONIPRelational Extensions of Learning Vector Quantization.Barbara Hammer, Frank-Michael Schleif, Xibin Zhu
2011IDAPrototype-Based Classification of Dissimilarity Data.Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
2011IDEALLinear Time Heuristics for Topographic Mapping of Dissimilarity Data.Andrej Gisbrecht, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2010ESANNExploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization.Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismller
2010ESANNRelevance learning in generative topographic maps.Andrej Gisbrecht, Barbara Hammer
2010ESANNRelational Generative Topographic Map.Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
2010ESANNSparse representation of data.Thomas Villmann, Frank-Michael Schleif, Barbara Hammer
2010ICAISCDivergence Based Online Learning in Vector Quantization.Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer
2010IDEALGeneralized Derivative Based Kernelized Learning Vector Quantization.Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider, Michael Biehl
2010KIVisualizing Dissimilarity Data Using Generative Topographic Mapping.Andrej Gisbrecht, Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer
2009CAIPNonlinear Dimension Reduction and Visualization of Labeled Data.Kerstin Bunte, Barbara Hammer, Michael Biehl
2009ESANNNonlinear Discriminative Data Visualization.Kerstin Bunte, Barbara Hammer, Petra Schneider, Michael Biehl
2009ESANNMedian Variant of Fuzzy c-Means.Tina Geweniger, Dietlind Zhlke, Barbara Hammer, Thomas Villmann
2009ESANNRecent advances in efficient learning of recurrent networks.Barbara Hammer, Benjamin Schrauwen, Jochen J. Steil
2009ESANNHyperparameter Learning in Robust Soft LVQ.Petra Schneider, Michael Biehl, Barbara Hammer
2009ESANNEquilibrium properties of off-line LVQ.Aree Witoelar, Michael Biehl, Barbara Hammer
2008ESANNParallelizing single patch pass clustering.Nikolai Alex, Barbara Hammer
2008ESANNMagnification Control in Relational Neural Gas.Alexander Hasenfuss, Barbara Hammer, Tina Geweniger, Thomas Villmann
2008ICANNMatrix Learning for Topographic Neural Maps.Banchar Arnonkijpanich, Barbara Hammer, Alexander Hasenfuss, Chidchanok Lursinsap
2008ICONIPComparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity.Tina Geweniger, Frank-Michael Schleif, Alexander Hasenfuss, Barbara Hammer, Thomas Villmann
2007ESANNHow to process uncertainty in machine learning?.Barbara Hammer, Thomas Villmann
2007ESANNRelevance matrices in LVQ.Petra Schneider, Michael Biehl, Barbara Hammer
2007ESANNOn the dynamics of Vector Quantization and Neural Gas.Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbara Hammer
2007IJCNNIntuitive Clustering of Biological Data.Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert
2007IDARelational Topographic Maps.Alexander Hasenfuss, Barbara Hammer
2007IWANNNeural Gas Clustering for Dissimilarity Data with Continuous Prototypes.Alexander Hasenfuss, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann
2007IWANNSupervised Neural Gas for Classification of Functional Data and Its Application to the Analysis of Clinical Proteom Spectra.Frank-Michael Schleif, Thomas Villmann, Barbara Hammer
2007IWANNFuzzy Labeled Self-Organizing Map for Classification of Spectra.Thomas Villmann, Frank-Michael Schleif, Erzsbet Mernyi, Barbara Hammer
2007KIRelational Neural Gas.Barbara Hammer, Alexander Hasenfuss
2006CBMSAnalysis and Visualization of Proteomic Data by Fuzzy Labeled Self-Organizing Maps.Frank-Michael Schleif, Thomas Elssner, Markus Kostrzewa, Thomas Villmann, Barbara Hammer
2006ESANNMagnification control for batch neural gas.Barbara Hammer, Alexander Hasenfuss, Thomas Villmann
2006ESANNMargin based Active Learning for LVQ Networks.Frank-Michael Schleif, Barbara Hammer, Thomas Villmann
2006ESANNNeural networks and machine learning in bioinformatics - theory and applications.Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann
2006ICAISCLearning Vector Quantization Classification with Local Relevance Determination for Medical Data.Barbara Hammer, Thomas Villmann, Frank-Michael Schleif, Cornelia Albani, Wieland Hermann
2006ICONIPPrototype Based Classification Using Information Theoretic Learning.Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell
2005ESANNThe dynamics of Learning Vector Quantization.Michael Biehl, Anarta Ghosh, Barbara Hammer
2005ESANNRelevance learning for mental disease classification.Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann
2005ESANNClassification using non-standard metrics.Barbara Hammer, Thomas Villmann
2005ESANNRelevance determination in reinforcement learning.Katharina Tluk von Toschanowitz, Barbara Hammer, Helge J. Ritter
2005ICMLAFuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning.Thomas Villmann, Frank-Michael Schleif, Barbara Hammer
2004ESANNNeural methods for non-standard data.Barbara Hammer, Brijnesh J. Jain
2004ESANNSelf-organizing context learning.Marc Strickert, Barbara Hammer
2004ICAISCRelevance LVQ versus SVM.Barbara Hammer, Marc Strickert, Thomas Villmann
2004ICMLASupervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data.Frank-Michael Schleif, U. Clauss, Thomas Villmann, Barbara Hammer
2004IJCNNA reinforcement learning algorithm to improve scheduling search heuristics with the SVM.Kai Gersmann, Barbara Hammer
2003ESANNImproving iterative repair strategies for scheduling with the SVM.Kai Gersmann, Barbara Hammer
2003ESANNMathematical Aspects of Neural Networks.Barbara Hammer, Thomas Villmann
2003ESANNUnsupervised Recursive Sequence Processing.Marc Strickert, Barbara Hammer
2002ESANNA general framework for unsupervised processing of structured data.Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2002ESANNPerspectives on learning with recurrent neural networks.Barbara Hammer, Jochen J. Steil
2002ESANNBatch-RLVQ.Barbara Hammer, Thomas Villmann
2002ICANNRule Extraction from Self-Organizing Networks.Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann
2002ICANNLearning Vector Quantization for Multimodal Data.Barbara Hammer, Marc Strickert, Thomas Villmann
2002ICANNArchitectural Bias in Recurrent Neural Networks - Fractal Analysis.Peter Tio, Barbara Hammer
2001ESANNRelevance determination in Learning Vector Quantization.Thorsten Bojer, Barbara Hammer, Daniel Schunk, Katharina Tluk von Toschanowitz
2001ESANNInput pruning for neural gas architectures.Barbara Hammer, Thomas Villmann
2001ICANNOn the Generalization Ability of Recurrent Networks.Barbara Hammer
2001ICANNGeneralized Relevance LVQ for Time Series.Marc Strickert, Thorsten Bojer, Barbara Hammer
2000ALTOn Approximate Learning by Multi-layered Feedforward Circuits.Bhaskar DasGupta, Barbara Hammer
2000ESANNLimitations of hybrid systems.Barbara Hammer
1999ESANNApproximation capabilities of folding networks.Barbara Hammer
1998ESANNTraining a sigmoidal network is difficult.Barbara Hammer
1997ICANNGeneralization of Elman Networks.Barbara Hammer