Barbara Hammer

639 papers A* 16A 4B 135C 38Misc 7Journal 286Unranked 131

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Practical Guide to Streaming Continual Learning. CoRR Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Emanuele Della Valle, Barbara Hammer, Davide Bacciu
2026	J	`jnl`	A practical guide to streaming continual learning. Neurocomputing Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Emanuele Della Valle, Barbara Hammer, Davide Bacciu
2026	J	`jnl`	DGPO: RL-Steered Graph Diffusion for Neural Architecture Generation. CoRR Aleksei Liuliakov, Luca Hermes, Barbara Hammer
2026	J	`jnl`	Drift Localization using Conformal Predictions. CoRR Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2026	J	`jnl`	Evaluating automatic label noise detection in 3D segmentation with realistic label noise. Neurocomputing Andreas Mazur, Isaac Roberts, David P. Leins, Alexander Schulz, Barbara Hammer
2026	J	`jnl`	FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios. CoRR Andrea Moleri, Christian Internò, Ali Raza, Markus Olhofer, David A. Klindt, Fabio Stella, Barbara Hammer
2026	J	`jnl`	Fourier neural operators as data-driven surrogates for two- and three-dimensional Rayleigh-bénard convection. Neurocomputing Thorben Markmann, Michiel Straat, Sebastian Peitz, Barbara Hammer
2026	J	`jnl`	Interpretable event diagnosis in water distribution networks. Intell. Syst. Appl. André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Ulrike Kuhl, Barbara Hammer, Marios M. Polycarpou
2026	J	`jnl`	Learning in federated and dynamic environments: A tutorial on challenges, trends, and practical strategies. Neurocomputing Mirko Polato, Barbara Hammer, Manuel Röder, Frank-Michael Schleif
2026	J	`jnl`	Modular Memory is the Key to Continual Learning Agents. CoRR Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M. van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, Rahaf Aljundi
2026	—	`conf`	SLAMDUNKS: A Vision-Based Approach for Uncovering Semantic Relations in Dataset Collections. VISAPP (1) Petra Bevandic, Barbara Hammer
2026	J	`jnl`	The Observer Effect in World Models: Invasive Adaptation Corrupts Latent Physics. CoRR Christian Internò, Jumpei Yamaguchi, Loren Amdahl-Culleton, Markus Olhofer, David A. Klindt, Barbara Hammer
2026	J	`jnl`	The effect of data poisoning on counterfactual explanations. Inf. Fusion André Artelt, Shubham Sharma, Freddy Lécué, Barbara Hammer
2025	J	`jnl`	A Benchmark for Physics-informed Machine Learning of Chlorine Concentration States in Water Distribution Networks. SN Comput. Sci. Luca Hermes, André Artelt, Stelios G. Vrachimis, Marios M. Polycarpou, Barbara Hammer
2025	J	`jnl`	AI-Generated Video Detection via Perceptual Straightening. CoRR Christian Internò, Robert Geirhos, Markus Olhofer, Sunny Liu, Barbara Hammer, David A. Klindt
2025	—	`conf`	Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. NAACL (Long Papers) Maximilian Spliethöver, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik, Barbara Hammer, Eyke Hüllermeier, Henning Wachsmuth
2025	J	`jnl`	Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. CoRR Maximilian Spliethöver, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik, Barbara Hammer, Eyke Hüllermeier, Henning Wachsmuth
2025	J	`jnl`	Causal Explanation of Concept Drift - A Truly Actionable Approach. CoRR David Komnick, Kathrin Lammers, Barbara Hammer, Valerie Vaquet, Fabian Hinder
2025	J	`jnl`	Conceptualizing Uncertainty. CoRR Isaac Roberts, Alexander Schulz, Sarah Schröder, Fabian Hinder, Barbara Hammer
2025	—	`conf`	Continuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced Data. ICANN (1) Kathrin Lammers, Valerie Vaquet, Barbara Hammer
2025	J	`jnl`	Continuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced Data. CoRR Kathrin Lammers, Valerie Vaquet, Barbara Hammer
2025	J	`jnl`	Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime. CoRR Thorben Markmann, Michiel Straat, Sebastian Peitz, Barbara Hammer
2025	J	`jnl`	Development of a digital twin for data-driven modeling of punch-bending processes using a graphical modeling notation. Autom. Henning Peters, Andreas Mazur, Ankit Kumar Pandey, Ansgar Trächtler, Barbara Hammer, Werner Homberg
2025	J	`jnl`	Editorial: Computer vision and AI in real-world applications: robustness, generalization, and engineering. Frontiers Comput. Sci. Alessandro Bruno, Pier Luigi Mazzeo, Nicola Strisciuglio, Barbara Hammer, Mingliang Gao
2025	B	`conf`	Energy Efficient Online Stream Classification under Concept Drift on FPGAs for Edge Computing. IJCNN Jonas Vaquet, Florian Porrmann, Sarah Pilz, Valerie Vaquet, Jens Hagemeyer, Ulrich Rückert, Barbara Hammer
2025	J	`jnl`	Enhancing Person-to-Person Virtual Try-On with Multi-Garment Virtual Try-Off. CoRR Riza Velioglu, Petra Bevandic, Robin Chan, Barbara Hammer
2025	—	`conf`	Evaluating and Mitigating Fairness Risks in Machine Learning under Structured Missing Data. AEQUITAS@ECAI Tim Kochs, Andrea Castellani, Felix Lanfermann, Barbara Hammer
2025	A*	`conf`	Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. ICLR Maximilian Muschalik, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, Barbara Hammer
2025	J	`jnl`	Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. CoRR Fabian Fumagalli, Maximilian Muschalik, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, Barbara Hammer
2025	J	`jnl`	Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions. CoRR Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Przemyslaw Biecek
2025	J	`jnl`	Extending Fair Null-Space Projections for Continuous Attributes to Kernel Methods. CoRR Felix Störck, Fabian Hinder, Barbara Hammer
2025	J	`jnl`	Federated Loss Exploration for Improved Convergence on Non-IID Data. CoRR Christian Internò, Markus Olhofer, Yaochu Jin, Barbara Hammer
2025	J	`jnl`	Generalization of Video-Based Heart Rate Estimation Methods To Low Illumination and Elevated Heart Rates. CoRR Bhargav Acharya, William Saakyan, Barbara Hammer, Hanna Drimalla
2025	J	`jnl`	Generating synthetic genotypes using diffusion models. Bioinform. Philip Kenneweg, Raghuram Dandinasivara, Xiao Luo, Barbara Hammer, Alexander Schönhuth
2025	—	`conf`	Go with the Flow: Leveraging Physics-Informed Gradients to Solve Real-World Problems in Water Distribution Systems. ECML/PKDD (10) Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer
2025	J	`jnl`	Improving the Plausibility of Pressure Distributions Synthesized from Depth through Generative Modeling. CoRR Neevkumar Manavar, Hanno Gerd Meyer, Joachim Waßmuth, Barbara Hammer, Axel Schneider
2025	J	`jnl`	Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning. CoRR Michiel Straat, Thorben Markmann, Sebastian Peitz, Barbara Hammer
2025	J	`jnl`	Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation. CoRR Christian Internò, Andrea Castellani, Sebastian Schmitt, Fabio Stella, Barbara Hammer
2025	J	`jnl`	Interpretable Event Diagnosis in Water Distribution Networks. CoRR André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Ulrike Kuhl, Barbara Hammer, Marios M. Polycarpou
2025	—	`conf`	Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions. EMNLP (Findings) Meghdut Sengupta, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Debanjan Ghosh, Henning Wachsmuth
2025	J	`jnl`	JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning. CoRR Tristan Kenneweg, Philip Kenneweg, Barbara Hammer
2025	—	`conf`	MGT: Extending Virtual Try-Off to Multi-Garment Scenarios. ICCVW Riza Velioglu, Petra Bevandic, Robin Chan, Barbara Hammer
2025	—	`conf`	Neural Surrogate Model in an Extended Kalman Filter for Chlorine Concentration State Estimation in Water Distribution Systems. SysTol André Artelt, Janine Strotherm, Luca Hermes, Barbara Hammer
2025	J	`jnl`	Noise Robust One-Class Intrusion Detection on Dynamic Graphs. CoRR Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer
2025	J	`jnl`	One-Class Intrusion Detection with Dynamic Graphs. CoRR Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer
2025	B	`conf`	Robust Individual Sensor Placement by Means of Domain-informed Adversarial Training. IJCNN Markus Vieth, Barbara Hammer
2025	B	`conf`	Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems. IJCNN Inaam Ashraf, André Artelt, Barbara Hammer
2025	J	`jnl`	Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems. CoRR Inaam Ashraf, André Artelt, Barbara Hammer
2025	J	`jnl`	Solving Turbulent Rayleigh-Bénard Convection using Fourier Neural Operators. CoRR Michiel Straat, Thorben Markmann, Barbara Hammer
2025	—	`conf`	Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals. ICANN (4) Andreas Mazur, Henning Peters, André Artelt, Lukas Koller, Christoph Hartmann, Ansgar Trächtler, Barbara Hammer
2025	J	`jnl`	The Battle of the Water Futures. CoRR Dennis Zanutto, Christos Michalopoulos, Lydia Tsiami, André Artelt, Jasmin Brandt, Demetrios G. Eliades, Stelios G. Vrachimis, Stefano Alvisi, Valentina Marsili, Filippo Mazzoni, Panagiotis Smartzis, Barbara Hammer, Phoebe Koundouri, Marios M. Polycarpou, Dragan Savic
2025	J	`jnl`	The reliability of remote photoplethysmography under low illumination and elevated heart rates. npj Digit. Medicine Bhargav Acharya, William Saakyan, Barbara Hammer, Hanna Drimalla
2025	—	`conf`	To Pump or Not to Pump - Sensor-based Reinforcement Learning for an Optimal Scheduler. INFORMATIK Alissa Müller, Paul Stahlhofen, Barbara Hammer
2025	J	`jnl`	Trust, distrust, and appropriate reliance in (X)AI: A conceptual clarification of user trust and survey of its empirical evaluation. Cogn. Syst. Res. Roel Visser, Tobias M. Peters, Ingrid Scharlau, Barbara Hammer
2025	—	`conf`	Uncertainty-Aware Remaining Lifespan Prediction from Images. ISVC (2) Tristan Kenneweg, Philip Kenneweg, Barbara Hammer
2025	J	`jnl`	Uncertainty-Aware Remaining Lifespan Prediction from Images. CoRR Tristan Kenneweg, Philip Kenneweg, Barbara Hammer
2025	A	`conf`	Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. AISTATS Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, Julia Herbinger
2025	J	`jnl`	Who Has The Final Say? Conformity Dynamics in ChatGPT's Selections. CoRR Clarissa Sabrina Arlinghaus, Tristan Kenneweg, Barbara Hammer, Günter W. Maier
2024	—	`conf`	A Remark on Concept Drift for Dependent Data. IDA (1) Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	A Toolbox for Supporting Research on AI in Water Distribution Networks. CoRR André Artelt, Marios S. Kyriakou, Stelios G. Vrachimis, Demetrios G. Eliades, Barbara Hammer, Marios M. Polycarpou
2024	J	`jnl`	Adversarial Attacks for Drift Detection. CoRR Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	Aligning Generalisation Between Humans and Machines. CoRR Filip Ilievski, Barbara Hammer, Frank van Harmelen, Benjamin Paassen, Sascha Saralajew, Ute Schmid, Michael Biehl, Marianna Bolognesi, Xin Luna Dong, Kiril Gashteovski, Pascal Hitzler, Giuseppe Marra, Pasquale Minervini, Martin Mundt, Axel-Cyrille Ngonga Ngomo, Alessandro Oltramari, Gabriella Pasi, Zeynep G. Saribatur, Luciano Serafini, John Shawe-Taylor, Vered Shwartz, Gabriella Skitalinskaya, Clemens Stachl, Gido M. van de Ven, Thomas Villmann
2024	J	`jnl`	An Algorithm-Centered Approach To Model Streaming Data. CoRR Fabian Hinder, Valerie Vaquet, David Komnick, Barbara Hammer
2024	J	`jnl`	Analyzing the Influence of Training Samples on Explanations. CoRR André Artelt, Barbara Hammer
2024	J	`jnl`	Automated Federated Learning via Informed Pruning. CoRR Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer
2024	A*	`conf`	Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. AAAI Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2024	J	`jnl`	Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. CoRR Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2024	B	`conf`	Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty. ESANN Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Barbara Hammer
2024	J	`jnl`	Challenges, Methods, Data - a Survey of Machine Learning in Water Distribution Networks. CoRR Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2024	—	`conf`	Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks. ICANN (9) Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2024	J	`jnl`	Debiasing Sentence Embedders through Contrastive Word Pairs. CoRR Philip Kenneweg, Sarah Schröder, Alexander Schulz, Barbara Hammer
2024	J	`jnl`	EPyT-Flow: A Toolkit for Generating Water Distribution Network Data. J. Open Source Softw. André Artelt, Marios S. Kyriakou, Stelios G. Vrachimis, Demetrios G. Eliades, Barbara Hammer, Marios M. Polycarpou
2024	—	`conf`	Explaining Change in Models and Data with Global Feature Importance and Effects. TempXAI@PKDD/ECML Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2024	—	`conf`	Explaining Neural Networks - Deep and Shallow. WSOM+ Barbara Hammer
2024	—	`conf`	FairGLVQ: Fairness in Partition-Based Classification. WSOM+ Felix Störck, Fabian Hinder, Johannes Brinkrolf, Benjamin Paassen, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	FairGLVQ: Fairness in Partition-Based Classification. CoRR Felix Störck, Fabian Hinder, Johannes Brinkrolf, Benjamin Paassen, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	Fairness-Enhancing Ensemble Classification in Water Distribution Networks. CoRR Janine Strotherm, Barbara Hammer
2024	J	`jnl`	Fairness-enhancing classification methods for non-binary sensitive features - PeerJ Comput. Sci. Janine Strotherm, Inaam Ashraf, Barbara Hammer
2024	B	`conf`	FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation. IJCNN Riza Velioglu, Robin Chan, Barbara Hammer
2024	J	`jnl`	FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation. CoRR Riza Velioglu, Robin Chan, Barbara Hammer
2024	J	`jnl`	Faster Convergence for Transformer Fine-tuning with Line Search Methods. CoRR Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer
2024	J	`jnl`	Feature-based analyses of concept drift. Neurocomputing Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	B	`conf`	Federated Loss Exploration for Improved Convergence on Non-IID Data. IJCNN Christian Internò, Markus Olhofer, Yaochu Jin, Barbara Hammer
2024	J	`jnl`	Generalization by People and Machines (Dagstuhl Seminar 24192). Dagstuhl Reports Barbara Hammer, Filip Ilievski, Sascha Saralajew, Frank van Harmelen
2024	J	`jnl`	Generating Synthetic Genotypes using Diffusion Models. CoRR Philip Kenneweg, Raghuram Dandinasivara, Xiao Luo, Barbara Hammer, Alexander Schönhuth
2024	J	`jnl`	Image restoration in frequency space using complex-valued CNNs. Frontiers Artif. Intell. Zafran Hussain Shah, Marcel Müller, Wolfgang Hübner, Henning Ortkrass, Barbara Hammer, Thomas Huser, Wolfram Schenck
2024	J	`jnl`	Improving Line Search Methods for Large Scale Neural Network Training. CoRR Philip Kenneweg, Tristan Kenneweg, Barbara Hammer
2024	J	`jnl`	Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers. CoRR Philip Kenneweg, Alexander Schulz, Sarah Schröder, Barbara Hammer
2024	C	`conf`	Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. ICPRAM Valerie Vaquet, Fabian Hinder, Barbara Hammer
2024	J	`jnl`	Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. CoRR Valerie Vaquet, Fabian Hinder, Barbara Hammer
2024	A*	`conf`	KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. ICML Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
2024	J	`jnl`	KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions. CoRR Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
2024	B	`conf`	Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Bénard Convection. IJCNN Thorben Markmann, Michiel Straat, Barbara Hammer
2024	J	`jnl`	Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Bénard Convection. CoRR Thorben Markmann, Michiel Straat, Barbara Hammer
2024	B	`conf`	Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations. IJCNN Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Kathrin Lammers, Lars Quakernack, Barbara Hammer
2024	B	`conf`	Machine learning in distributed, federated and non-stationary environments - recent trends. ESANN Mirko Polato, Barbara Hammer, Frank-Michael Schleif
2024	J	`jnl`	Modularity in Nervous Systems - a Key to Efficient Adaptivity for Deep Reinforcement Learning. Cogn. Comput. Malte Schilling, Barbara Hammer, Frank W. Ohl, Helge J. Ritter, Laurenz Wiskott
2024	J	`jnl`	Neural Architecture Search for Sentence Classification with BERT. CoRR Philip Kenneweg, Sarah Schröder, Barbara Hammer
2024	B	`conf`	No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. IJCNN Philip Kenneweg, Tristan Kenneweg, Fabian Fumagalli, Barbara Hammer
2024	J	`jnl`	No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. CoRR Philip Kenneweg, Tristan Kenneweg, Fabian Fumagalli, Barbara Hammer
2024	B	`conf`	Noise Robust One-Class Intrusion Detection on Dynamic Graphs. ESANN Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer
2024	B	`conf`	On the Fine Structure of Drifting Features. ESANN Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	One or two things we know about concept drift - a survey on monitoring in evolving environments. Part A: detecting concept drift. Frontiers Artif. Intell. Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	J	`jnl`	One or two things we know about concept drift - a survey on monitoring in evolving environments. Part B: locating and explaining concept drift. Frontiers Artif. Intell. Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024	A*	`conf`	Physics-Informed Graph Neural Networks for Water Distribution Systems. AAAI Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer
2024	J	`jnl`	Physics-Informed Graph Neural Networks for Water Distribution Systems. CoRR Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer
2024	—	`conf`	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. BIOSTEC (1) Nils Grimmelsmann, Malte Mechtenberg, Markus Vieth, Alexander Schulz, Barbara Hammer, Axel Schneider
2024	—	`ed.`	Proceedings of the Workshop on Explainable AI for Time Series and Data Streams (TempXAI 2024) co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, September 9th, 2024. TempXAI@PKDD/ECML Zahraa S. Abdallah, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Matthias Jakobs, Emmanuel Müller, Maximilian Muschalik, Panagiotis Papapetrou, Amal Saadallah, George Tzagkarakis
2024	—	`conf`	RAGVAL: Automatic Dataset Creation and Evaluation for RAG Systems. FLLM Tristan Kenneweg, Philip Kenneweg, Barbara Hammer
2024	J	`jnl`	Retrieval Augmented Generation Systems: Automatic Dataset Creation, Evaluation and Boolean Agent Setup. CoRR Tristan Kenneweg, Philip Kenneweg, Barbara Hammer
2024	A	`conf`	SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. AISTATS Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2024	J	`jnl`	SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. CoRR Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2024	B	`conf`	Self-Supervised Learning from Incrementally Drifting Data Streams. ESANN Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
2024	C	`conf`	Semantic Properties of Cosine Based Bias Scores for Word Embeddings. ICPRAM Sarah Schröder, Alexander Schulz, Fabian Hinder, Barbara Hammer
2024	J	`jnl`	Semantic Properties of cosine based bias scores for word embeddings. CoRR Sarah Schröder, Alexander Schulz, Fabian Hinder, Barbara Hammer
2024	B	`conf`	Similarity-Based Zero-Shot Domain Adaptation for Wearables. ESANN Markus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer
2024	J	`jnl`	Targeted Visualization of the Backbone of Encoder LLMs. CoRR Isaac Roberts, Alexander Schulz, Luca Hermes, Barbara Hammer
2024	J	`jnl`	The Effect of Data Poisoning on Counterfactual Explanations. CoRR André Artelt, Shubham Sharma, Freddy Lécué, Barbara Hammer
2024	B	`conf`	The SAME score: Improved cosine based measure for semantic bias. IJCNN Sarah Schröder, Alexander Schulz, Barbara Hammer
2024	—	`conf`	Towards Reliable Drift Detection and Explanation in Text Data. IDEAL (1) Robert Feldhans, Barbara Hammer
2024	B	`conf`	Trust in Artificial Intelligence: Beyond Interpretability. ESANN Tassadit Bouadi, Benoît Frénay, Luis Galárraga, Pierre Geurts, Barbara Hammer, Gilles Perrouin
2024	J	`jnl`	TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models. CoRR Riza Velioglu, Petra Bevandic, Robin Chan, Barbara Hammer
2024	J	`jnl`	Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. CoRR Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, Julia Herbinger
2024	B	`conf`	Visualizing and Improving 3D Mesh Segmentation with DeepView. ESANN Andreas Mazur, Isaac Roberts, David P. Leins, Alexander Schulz, Barbara Hammer
2024	—	`conf`	When to Inject? Investigating Different Metrics for Conditional Context Injection in LLMs. FLLM Tristan Kenneweg, Philip Kenneweg, Barbara Hammer
2024	A*	`conf`	shapiq: Shapley Interactions for Machine Learning. NeurIPS Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier
2024	J	`jnl`	shapiq: Shapley Interactions for Machine Learning. CoRR Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier
2023	J	`jnl`	"I do not know! but why?" - Local model-agnostic example-based explanations of reject. Neurocomputing André Artelt, Roel Visser, Barbara Hammer
2023	C	`conf`	"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. ICPRAM André Artelt, Alexander Schulz, Barbara Hammer
2023	J	`jnl`	A Remark on Concept Drift for Dependent Data. CoRR Fabian Hinder, Valerie Vaquet, Barbara Hammer
2023	—	`conf`	A Sensor Fault Detection and Imputation Framework for Electrical Distribution Grids. ISGT EUROPE Lars Quakernack, Valerie Vaquet, Barbara Hammer, Jens Haubrock
2023	—	`conf`	Adversarial Attacks on Leakage Detectors in Water Distribution Networks. IWANN (2) Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer
2023	J	`jnl`	Adversarial Attacks on Leakage Detectors in Water Distribution Networks. CoRR Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer
2023	J	`jnl`	AutoML technologies for the identification of sparse classification and outlier detection models. Appl. Soft Comput. Aleksei Liuliakov, Luca Hermes, Barbara Hammer
2023	—	`conf`	Best of both, Structured and Unstructured Sparsity in Neural Networks. EuroMLSys@EuroSys Christoph Schulte, Sven Wagner, Armin Runge, Dimitrios Bariamis, Barbara Hammer
2023	J	`jnl`	Combining self-labeling and demand based active learning for non-stationary data streams. CoRR Valerie Vaquet, Fabian Hinder, Johannes Brinkrolf, Barbara Hammer
2023	J	`jnl`	Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Process. Lett. André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
2023	—	`conf`	Data Augmentation for Cardiovascular Time Series Data Using WaveNet. SSCI Robert Feldhans, Alexander Schulz, Johannes Kummert, Moriz Habigt, Maike Stemmler, Christina Kohler, Dirk Abel, Rolf Rossaint, Barbara Hammer
2023	C	`conf`	Debiasing Sentence Embedders Through Contrastive Word Pairs. ICPRAM Philip Kenneweg, Sarah Schröder, Alexander Schulz, Barbara Hammer
2023	—	`conf`	Extending Drift Detection Methods to Identify When Exactly the Change Happened. IWANN (1) Markus Vieth, Alexander Schulz, Barbara Hammer
2023	J	`jnl`	Fairness in KI-Systemen. CoRR Janine Strotherm, Alissa Müller, Barbara Hammer, Benjamin Paaßen
2023	—	`conf`	Fairness-Enhancing Ensemble Classification in Water Distribution Networks. IWANN (1) Janine Strotherm, Barbara Hammer
2023	B	`conf`	Faster Convergence for Transformer Fine-tuning with Line Search Methods. IJCNN Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer
2023	B	`conf`	Feature Selection for Concept Drift Detection. ESANN Fabian Hinder, Barbara Hammer
2023	—	`conf`	For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI. xAI (3) Ulrike Kuhl, André Artelt, Barbara Hammer
2023	J	`jnl`	For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI. CoRR Ulrike Kuhl, André Artelt, Barbara Hammer
2023	—	`conf`	Generating Cardiovascular Data to Improve Training of Assistive Heart Devices. SSCI Johannes Kummert, Alexander Schulz, Robert Feldhans, Moriz Habigt, Maike Stemmler, Christina Kohler, Dirk Abel, Rolf Rossaint, Barbara Hammer
2023	—	`conf`	Incremental Human Gait Prediction without Catastrophic Forgetting. SSCI Jonathan Jakob, Martina Hasenjäger, Barbara Hammer
2023	J	`jnl`	Incremental permutation feature importance (iPFI): towards online explanations on data streams. Mach. Learn. Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer
2023	J	`jnl`	Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams. Appl. Artif. Intell. Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
2023	J	`jnl`	Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning. Frontiers Comput. Sci. Ulrike Kuhl, André Artelt, Barbara Hammer
2023	J	`jnl`	Localization of Small Leakages in Water Distribution Networks using Concept Drift Explanation Methods. CoRR Valerie Vaquet, Fabian Hinder, Kathrin Lammers, Jonas Vaquet, Barbara Hammer
2023	—	`conf`	Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. IWANN (1) Sarah Schröder, Alexander Schulz, Ivan Tarakanov, Robert Feldhans, Barbara Hammer
2023	J	`jnl`	Metric Learning with Self-Adjusting Memory for Explaining Feature Drift. SN Comput. Sci. Johannes Kummert, Alexander Schulz, Barbara Hammer
2023	J	`jnl`	Model Based Explanations of Concept Drift. CoRR Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	J	`jnl`	Model-based explanations of concept drift. Neurocomputing Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	J	`jnl`	Novel transfer learning schemes based on Siamese networks and synthetic data. Neural Comput. Appl. Philip Kenneweg, Dominik Stallmann, Barbara Hammer
2023	B	`conf`	On Feature Removal for Explainability in Dynamic Environments. ESANN Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer
2023	B	`conf`	On the Change of Decision Boundary and Loss in Learning with Concept Drift. IDA Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	C	`conf`	On the Hardness and Necessity of Supervised Concept Drift Detection. ICPRAM Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	J	`jnl`	One or Two Things We know about Concept Drift - A Survey on Monitoring Evolving Environments. CoRR Fabian Hinder, Valerie Vaquet, Barbara Hammer
2023	—	`conf`	One-Class Intrusion Detection with Dynamic Graphs. ICANN (4) Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer
2023	—	`ed.`	Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), Torino, Italy, September 22nd, 2023. IAL@PKDD/ECML Mirko Bunse, Barbara Hammer, Georg Krempl, Vincent Lemaire, Alaa Tharwat, Amal Saadallah
2023	B	`conf`	Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts. ESANN Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023	A*	`conf`	SHAP-IQ: Unified Approximation of any-order Shapley Interactions. NeurIPS Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
2023	J	`jnl`	SHAP-IQ: Unified Approximation of any-order Shapley Interactions. CoRR Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
2023	C	`conf`	So Can We Use Intrinsic Bias Measures or Not? ICPRAM Sarah Schröder, Alexander Schulz, Philip Kenneweg, Barbara Hammer
2023	B	`conf`	Spatial Graph Convolution Neural Networks for Water Distribution Systems. IDA Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer
2023	J	`jnl`	Trust, distrust, and appropriate reliance in (X)AI: a survey of empirical evaluation of user trust. CoRR Roel Visser, Tobias M. Peters, Ingrid Scharlau, Barbara Hammer
2023	J	`jnl`	Unsupervised Cyclic Siamese Networks Automating Cell Imagery Analysis. Algorithms Dominik Stallmann, Barbara Hammer
2023	—	`conf`	Unsupervised Unlearning of Concept Drift with Autoencoders. SSCI André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
2023	—	`conf`	iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. xAI (1) Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, Eyke Hüllermeier
2023	J	`jnl`	iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. CoRR Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, Eyke Hüllermeier
2023	—	`conf`	iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. ECML/PKDD (3) Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2023	J	`jnl`	iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. CoRR Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2022	—	`conf`	"Even if ..." - Diverse Semifactual Explanations of Reject. SSCI André Artelt, Barbara Hammer
2022	J	`jnl`	"Even if ..." - Diverse Semifactual Explanations of Reject. CoRR André Artelt, Barbara Hammer
2022	J	`jnl`	"Explain it in the Same Way!" - Model-Agnostic Group Fairness of Counterfactual Explanations. CoRR André Artelt, Barbara Hammer
2022	J	`jnl`	"Why Here and Not There?" - Diverse Contrasting Explanations of Dimensionality Reduction. CoRR André Artelt, Alexander Schulz, Barbara Hammer
2022	B	`ed.`	9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022 DSAA Joshua Zhexue Huang, Yi Pan, Barbara Hammer, Muhammad Khurram Khan, Xing Xie, Laizhong Cui, Yulin He
2022	B	`conf`	A Graph-based U-Net Model for Predicting Traffic in unseen Cities. IJCNN Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling
2022	J	`jnl`	A Graph-based U-Net Model for Predicting Traffic in unseen Cities. CoRR Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling
2022	J	`jnl`	Agnostic Explanation of Model Change based on Feature Importance. Künstliche Intell. Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2022	J	`jnl`	BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based Models. CoRR Lisa Langnickel, Alexander Schulz, Barbara Hammer, Juliane Fluck
2022	B	`conf`	Contrasting Explanation of Concept Drift. ESANN Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
2022	C	`conf`	Efficient Sensor Selection for Individualized Prediction Based on Biosignals. IDEAL Markus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer
2022	J	`jnl`	Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers. Neurocomputing André Artelt, Barbara Hammer
2022	C	`conf`	Explainable Artificial Intelligence for Improved Modeling of Processes. IDEAL Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer
2022	J	`jnl`	Explainable Artificial Intelligence for Improved Modeling of Processes. CoRR Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer
2022	C	`conf`	Explaining Reject Options of Learning Vector Quantization Classifiers. IJCCI André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer
2022	J	`jnl`	Explaining Reject Options of Learning Vector Quantization Classifiers. CoRR André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer
2022	—	`conf`	Feature Selection for Trustworthy Regression Using Higher Moments. ICANN (4) Fabian Hinder, Johannes Brinkrolf, Barbara Hammer
2022	B	`conf`	Federated learning vector quantization for dealing with drift between nodes. ESANN Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer
2022	B	`conf`	From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. ESANN Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert
2022	B	`conf`	Impact of different loss functions on denoising of microscopic images. IJCNN Zafran Hussain Shah, Marcel Müller, Barbara Hammer, Thomas Huser, Wolfram Schenck
2022	B	`conf`	Improving Zorro Explanations for Sparse Observations with Dense Proxy Data. ESANN Andreas Mazur, André Artelt, Barbara Hammer
2022	J	`jnl`	Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams. CoRR Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer
2022	C	`conf`	Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. IDEAL Philip Kenneweg, Alexander Schulz, Sarah Schröder, Barbara Hammer
2022	J	`jnl`	Interpretable Locally Adaptive Nearest Neighbors. Neurocomputing Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2022	J	`jnl`	Intuitiveness in Active Teaching. IEEE Trans. Hum. Mach. Syst. Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer
2022	J	`jnl`	Investigating intensity and transversal drift in hyperspectral imaging data. Neurocomputing Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
2022	—	`conf`	Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. FAccT Ulrike Kuhl, André Artelt, Barbara Hammer
2022	J	`jnl`	Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. CoRR Ulrike Kuhl, André Artelt, Barbara Hammer
2022	J	`jnl`	Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning. CoRR Ulrike Kuhl, André Artelt, Barbara Hammer
2022	B	`conf`	Localization of Concept Drift: Identifying the Drifting Datapoints. IJCNN Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer
2022	B	`conf`	Model Agnostic Local Explanations of Reject. ESANN André Artelt, Roel Visser, Barbara Hammer
2022	J	`jnl`	Model Agnostic Local Explanations of Reject. CoRR André Artelt, Roel Visser, Barbara Hammer
2022	B	`conf`	Neural Architecture Search for Sentence Classification with BERT. ESANN Philip Kenneweg, Sarah Schröder, Barbara Hammer
2022	J	`jnl`	Novel transfer learning schemes based on Siamese networks and synthetic data. CoRR Dominik Stallmann, Philip Kenneweg, Barbara Hammer
2022	J	`jnl`	On the Change of Decision Boundaries and Loss in Learning with Concept Drift. CoRR Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2022	J	`jnl`	One Explanation to Rule them All - Ensemble Consistent Explanations. CoRR André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Marios M. Polycarpou, Barbara Hammer
2022	J	`jnl`	Precise Change Point Detection using Spectral Drift Detection. CoRR Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
2022	—	`ed.`	Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Spain, September 13, 2021. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Daniel Kottke, Andreas Holzinger, Barbara Hammer
2022	—	`ed.`	Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022), Grenoble, France, September 23, 2022. IAL@PKDD/ECML Daniel Kottke, Georg Krempl, Andreas Holzinger, Barbara Hammer
2022	—	`conf`	Reject Options for Incremental Regression Scenarios. ICANN (4) Jonathan Jakob, Martina Hasenjäger, Barbara Hammer
2022	J	`jnl`	Reservoir Memory Machines as Neural Computers. IEEE Trans. Neural Networks Learn. Syst. Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer
2022	J	`jnl`	Reservoir stack machines. Neurocomputing Benjamin Paaßen, Alexander Schulz, Barbara Hammer
2022	—	`conf`	SAM-kNN Regressor for Online Learning in Water Distribution Networks. ICANN (3) Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
2022	J	`jnl`	SAM-kNN Regressor for Online Learning in Water Distribution Networks. CoRR Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
2022	C	`conf`	Single-step Adversarial Training for Semantic Segmentation. ICPRAM Daniel Wiens, Barbara Hammer
2022	J	`jnl`	Spatial Graph Convolution Neural Networks for Water Distribution Systems. CoRR Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer
2022	—	`conf`	Stream-Based Active Learning with Verification Latency in Non-stationary Environments. ICANN (4) Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2022	J	`jnl`	Stream-based Active Learning with Verification Latency in Non-stationary Environments. CoRR Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2022	B	`conf`	Suitability of Different Metric Choices for Concept Drift Detection. IDA Fabian Hinder, Valerie Vaquet, Barbara Hammer
2022	J	`jnl`	Suitability of Different Metric Choices for Concept Drift Detection. CoRR Fabian Hinder, Valerie Vaquet, Barbara Hammer
2022	J	`jnl`	Supervised learning in the presence of concept drift: a modelling framework. Neural Comput. Appl. Michiel Straat, Fthi Abadi, Zhuoyun Kan, Christina Göpfert, Barbara Hammer, Michael Biehl
2022	—	`conf`	Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks. ICANN (2) Valerie Vaquet, André Artelt, Johannes Brinkrolf, Barbara Hammer
2022	J	`jnl`	The SAME score: Improved cosine based bias score for word embeddings. CoRR Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer
2022	J	`jnl`	Unsupervised Unlearning of Concept Drift with Autoencoders. CoRR André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
2021	—	`conf`	A Shape-Based Method for Concept Drift Detection and Signal Denoising. SSCI Fabian Hinder, Johannes Brinkrolf, Valerie Vaquet, Barbara Hammer
2021	B	`conf`	Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting. ESANN Luca Hermes, Barbara Hammer, Malte Schilling
2021	J	`jnl`	Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting. CoRR Luca Hermes, Barbara Hammer, Malte Schilling
2021	C	`conf`	AutoML Technologies for the Identification of Sparse Models. IDEAL Aleksei Liuliakov, Barbara Hammer
2021	J	`jnl`	Automating the optical identification of abrasive wear on electrical contact pins. Autom. Florian Buckermann, Nils Klement, Oliver Beyer, Andreas Hütten, Barbara Hammer
2021	B	`conf`	Concept Drift Segmentation via Kolmogorov-Trees. ESANN Fabian Hinder, Barbara Hammer
2021	—	`conf`	Contrastive Explanations for Explaining Model Adaptations. IWANN (1) André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
2021	J	`jnl`	Contrastive Explanations for Explaining Model Adaptations. CoRR André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
2021	J	`jnl`	Convex optimization for actionable \& plausible counterfactual explanations. CoRR André Artelt, Barbara Hammer
2021	J	`jnl`	Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. Neural Networks Malte Schilling, Andrew Melnik, Frank W. Ohl, Helge J. Ritter, Barbara Hammer
2021	C	`conf`	Drift Detection in Text Data with Document Embeddings. IDEAL Robert Feldhans, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, Eyke Hüllermeier
2021	J	`jnl`	Efficient Reject Options for Particle Filter Object Tracking in Medical Applications. Sensors Johannes Kummert, Alexander Schulz, Tim Redick, Nassim Ayoub, Ali Modabber, Dirk Abel, Barbara Hammer
2021	B	`conf`	Efficient computation of contrastive explanations. IJCNN André Artelt, Barbara Hammer
2021	—	`conf`	Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise. ECML/PKDD (1) Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2021	J	`jnl`	Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise. CoRR Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2021	J	`jnl`	Evaluating Metrics for Bias in Word Embeddings. CoRR Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer
2021	—	`conf`	Evaluating Robustness of Counterfactual Explanations. SSCI André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer
2021	J	`jnl`	Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Trans. Cogn. Dev. Syst. Katharina J. Rohlfing, Philipp Cimiano, Ingrid Scharlau, Tobias Matzner, Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, Angela Grimminger, Barbara Hammer, Reinhold Häb-Umbach, Ilona Horwath, Eyke Hüllermeier, Friederike Kern, Stefan Kopp, Kirsten Thommes, Axel-Cyrille Ngonga Ngomo, Carsten Schulte, Henning Wachsmuth, Petra Wagner, Britta Wrede
2021	J	`jnl`	Fairness and Robustness of Contrasting Explanations. CoRR André Artelt, Barbara Hammer
2021	—	`conf`	Fast Non-Parametric Conditional Density Estimation using Moment Trees. SSCI Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2021	B	`conf`	Federated Learning Vector Quantization. ESANN Johannes Brinkrolf, Barbara Hammer
2021	A*	`conf`	Graph Edit Networks. ICLR Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer
2021	B	`conf`	Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. ESANN Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part IV ECML/PKDD (4) Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part V ECML/PKDD (5) Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano
2021	B	`conf`	Machine Learning for Measuring and Analyzing Online Social Communications. ESANN Chris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer
2021	C	`conf`	Machine Learning in Non-Stationary Environments. IJCCI Barbara Hammer
2021	—	`conf`	On the suitability of incremental learning for regression tasks in exoskeleton control. SSCI Jonathan Jakob, Martina Hasenjäger, Barbara Hammer
2021	—	`conf`	Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings. SSCI Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer
2021	J	`jnl`	Reservoir Stack Machines. CoRR Benjamin Paaßen, Alexander Schulz, Barbara Hammer
2021	J	`jnl`	Single-Step Adversarial Training for Semantic Segmentation. CoRR Daniel Wiens, Barbara Hammer
2021	—	`conf`	Task-Sensitive Concept Drift Detector with Constraint Embedding. SSCI Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2021	J	`jnl`	Task-Sensitive Concept Drift Detector with Constraint Embedding. CoRR Andrea Castellani, Sebastian Schmitt, Barbara Hammer
2021	J	`jnl`	Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation. Bioinform. Dominik Stallmann, Jan Philip Göpfert, Julian Schmitz, Alexander Grünberger, Barbara Hammer
2021	—	`conf`	Voxel-Based Three-Dimensional Neural Style Transfer. IWANN (1) Timo Friedrich, Barbara Hammer, Stefan Menzel
2020	B	`conf`	Adversarial Attacks Hidden in Plain Sight. IDA Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer
2020	J	`jnl`	Analysis of Drifting Features. CoRR Fabian Hinder, Jonathan Jakob, Barbara Hammer
2020	—	`conf`	Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data. ICANN (2) Valerie Vaquet, Barbara Hammer
2020	J	`jnl`	Brain-inspired computing and machine learning. Neural Comput. Appl. Lazaros S. Iliadis, Vera Kurková, Barbara Hammer
2020	—	`conf`	Convex Density Constraints for Computing Plausible Counterfactual Explanations. ICANN (1) André Artelt, Barbara Hammer
2020	J	`jnl`	Convex Density Constraints for Computing Plausible Counterfactual Explanations. CoRR André Artelt, Barbara Hammer
2020	J	`jnl`	Counterfactual Explanations of Concept Drift. CoRR Fabian Hinder, Barbara Hammer
2020	J	`jnl`	Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation. Data Sci. Eng. Babak Hosseini, Romain Montagné, Barbara Hammer
2020	A*	`conf`	DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. IJCAI Alexander Schulz, Fabian Hinder, Barbara Hammer
2020	J	`jnl`	Efficient computation of contrastive explanations. CoRR André Artelt, Barbara Hammer
2020	B	`conf`	Efficient computation of counterfactual explanations of LVQ models. ESANN André Artelt, Barbara Hammer
2020	—	`conf`	Explaining Concept Drift by Mean of Direction. ICANN (1) Fabian Hinder, Johannes Kummert, Barbara Hammer
2020	J	`jnl`	Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information. Neurocomputing Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer
2020	J	`jnl`	Intuitiveness in Active Teaching. CoRR Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer
2020	B	`conf`	Locally Adaptive Nearest Neighbors. ESANN Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2020	J	`jnl`	Locally Adaptive Nearest Neighbors. CoRR Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2020	B	`conf`	Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. IJCNN Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet
2020	J	`jnl`	Reservoir Memory Machines as Neural Computers. CoRR Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer
2020	J	`jnl`	Sequential Feature Classification in the Context of Redundancies. CoRR Lukas Pfannschmidt, Barbara Hammer
2020	B	`conf`	Sparse Metric Learning in Prototype-based Classification. ESANN Johannes Brinkrolf, Barbara Hammer
2020	J	`jnl`	Supervised Learning in the Presence of Concept Drift: A modelling framework. CoRR Michiel Straat, Fthi Abadi, Zhuoyun Kan, Christina Göpfert, Barbara Hammer, Michael Biehl
2020	J	`jnl`	Time integration and reject options for probabilistic output of pairwise LVQ. Neural Comput. Appl. Johannes Brinkrolf, Barbara Hammer
2020	A*	`conf`	Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). ICML Fabian Hinder, André Artelt, Barbara Hammer
2020	J	`jnl`	Towards an Automatic Analysis of CHO-K1 Suspension Growth in Microfluidic Single-cell Cultivation. CoRR Dominik Stallmann, Jan Philip Göpfert, Julian Schmitz, Alexander Grünberger, Barbara Hammer
2019	J	`jnl`	A probability theoretic approach to drifting data in continuous time domains. CoRR Fabian Hinder, André Artelt, Barbara Hammer
2019	—	`conf`	Adversarial Robustness Curves. PKDD/ECML Workshops (1) Christina Göpfert, Jan Philip Göpfert, Barbara Hammer
2019	J	`jnl`	Adversarial Robustness Curves. CoRR Christina Göpfert, Jan Philip Göpfert, Barbara Hammer
2019	J	`jnl`	Adversarial attacks hidden in plain sight. CoRR Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2019	J	`jnl`	Confident Kernel Sparse Coding and Dictionary Learning. CoRR Babak Hosseini, Barbara Hammer
2019	A*	`conf`	Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation. ICDM Babak Hosseini, Romain Montagné, Barbara Hammer
2019	J	`jnl`	Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation. CoRR Babak Hosseini, Romain Montagné, Barbara Hammer
2019	J	`jnl`	DeepView: Visualizing the behavior of deep neural networks in a part of the data space. CoRR Alexander Schulz, Fabian Hinder, Barbara Hammer
2019	J	`jnl`	Differential privacy for learning vector quantization. Neurocomputing Johannes Brinkrolf, Christina Göpfert, Barbara Hammer
2019	J	`jnl`	Efficient computation of counterfactual explanations of LVQ models. CoRR André Artelt, Barbara Hammer
2019	J	`jnl`	FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration. CoRR Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer
2019	C	`conf`	FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration. CIBCB Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer
2019	J	`jnl`	Feature Relevance Bounds for Ordinal Regression. CoRR Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer
2019	J	`jnl`	Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information. CoRR Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer
2019	B	`conf`	Feature relevance bounds for ordinal regression. ESANN Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer
2019	—	`conf`	Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. ECML/PKDD (1) Babak Hosseini, Barbara Hammer
2019	J	`jnl`	Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. CoRR Babak Hosseini, Barbara Hammer
2019	A	`conf`	Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. CIKM Babak Hosseini, Barbara Hammer
2019	J	`jnl`	Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. CoRR Babak Hosseini, Barbara Hammer
2019	B	`conf`	Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. IJCNN Babak Hosseini, Barbara Hammer
2019	J	`jnl`	Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. CoRR Babak Hosseini, Barbara Hammer
2019	J	`jnl`	Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series. CoRR Babak Hosseini, Barbara Hammer
2019	B	`conf`	Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series. ESANN Babak Hosseini, Barbara Hammer
2019	J	`jnl`	Non-Negative Kernel Sparse Coding for the Classification of Motion Data. CoRR Babak Hosseini, Felix Hülsmann, Mario Botsch, Barbara Hammer
2019	J	`jnl`	Non-Negative Local Sparse Coding for Subspace Clustering. CoRR Babak Hosseini, Barbara Hammer
2019	—	`conf`	On the Identification of Decision Boundaries for Anomaly Detection in CPPS. ICIT Peng Li, Oliver Niggemann, Barbara Hammer
2019	J	`jnl`	On the computation of counterfactual explanations - A survey. CoRR André Artelt, Barbara Hammer
2019	A*	`conf`	Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. ICRA Viktor Losing, Taizo Yoshikawa, Martina Hasenjäger, Barbara Hammer, Heiko Wersing
2019	—	`conf`	Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling Framework. WSOM+ Michael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer
2019	J	`jnl`	Prototype-based classifiers in the presence of concept drift: A modelling framework. CoRR Michael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer
2019	B	`conf`	Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets. ESANN Albert Bifet, Barbara Hammer, Frank-Michael Schleif
2019	—	`conf`	Recovering Localized Adversarial Attacks. ICANN (1) Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2019	J	`jnl`	Recovering Localized Adversarial Attacks. CoRR Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
2018	C	`conf`	A Geometric Approach to Clustering Based Anomaly Detection for Industrial Applications. IECON Peng Li, Oliver Niggemann, Barbara Hammer
2018	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I ICANN (1) Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis
2018	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II ICANN (2) Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis
2018	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III ICANN (3) Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis
2018	J	`jnl`	Automated Design of Machine Learning and Search Algorithms [Guest Editorial]. IEEE Comput. Intell. Mag. Nelishia Pillay, Rong Qu, Dipti Srinivasan, Barbara Hammer, Kenneth Sörensen
2018	J	`jnl`	Classification of motor errors to provide real-time feedback for sports coaching in virtual reality - A case study in squats and Tai Chi pushes. Comput. Graph. Felix Hülsmann, Jan Philip Göpfert, Barbara Hammer, Stefan Kopp, Mario Botsch
2018	A*	`conf`	Confident Kernel Sparse Coding and Dictionary Learning. ICDM Babak Hosseini, Barbara Hammer
2018	B	`conf`	Differential private relevance learning. ESANN Johannes Brinkrolf, Kolja Berger, Barbara Hammer
2018	A*	`conf`	Enhancing Very Fast Decision Trees with Local Split-Time Predictions. ICDM Viktor Losing, Heiko Wersing, Barbara Hammer
2018	J	`jnl`	Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer
2018	B	`conf`	Feasibility based Large Margin Nearest Neighbor metric learning. ESANN Babak Hosseini, Barbara Hammer
2018	C	`conf`	Generation of Adversarial Examples to Prevent Misclassification of Deep Neural Network based Condition Monitoring Systems for Cyber-Physical Production Systems. INDIN Felix Specht, Jens Otto, Oliver Niggemann, Barbara Hammer
2018	J	`jnl`	Incremental on-line learning: A review and comparison of state of the art algorithms. Neurocomputing Viktor Losing, Barbara Hammer, Heiko Wersing
2018	—	`conf`	Inferring Temporal Structure from Predictability in Bumblebee Learning Flight. IDEAL (1) Stefan Meyer, Olivier J. N. Bertrand, Martin Egelhaaf, Barbara Hammer
2018	J	`jnl`	Interpretable machine learning with reject option. Autom. Johannes Brinkrolf, Barbara Hammer
2018	J	`jnl`	Interpretation of linear classifiers by means of feature relevance bounds. Neurocomputing Christina Göpfert, Lukas Pfannschmidt, Jan Philip Göpfert, Barbara Hammer
2018	—	`conf`	Mitigating Concept Drift via Rejection. ICANN (1) Jan Philip Göpfert, Barbara Hammer, Heiko Wersing
2018	B	`conf`	Non-negative Local Sparse Coding for Subspace Clustering. IDA Babak Hosseini, Barbara Hammer
2018	J	`jnl`	Progressive Data Science: Potential and Challenges. CoRR Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu
2018	—	`conf`	Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto. ICDL-EPIROB Jeffrey Frederic Queißer, Barbara Hammer, Hisashi Ishihara, Minoru Asada, Jochen Jakob Steil
2018	J	`jnl`	Statistical Mechanics of On-Line Learning Under Concept Drift. Entropy Michiel Straat, Fthi Abadi, Christina Göpfert, Barbara Hammer, Michael Biehl
2018	J	`jnl`	Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). Knowl. Inf. Syst. Viktor Losing, Barbara Hammer, Heiko Wersing
2018	J	`jnl`	Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces. Neural Process. Lett. Benjamin Paaßen, Christina Göpfert, Barbara Hammer
2018	A*	`conf`	Tree Edit Distance Learning via Adaptive Symbol Embeddings. ICML Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
2018	J	`jnl`	Tree Edit Distance Learning via Adaptive Symbol Embeddings. CoRR Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
2018	J	`jnl`	flowLearn: fast and precise identification and quality checking of cell populations in flow cytometry. Bioinform. Markus Lux, Ryan Remy Brinkman, Cédric Chauve, Adam Laing, Anna Lorenc, Lucie Abeler-Dörner, Barbara Hammer
2017	B	`conf`	An EM transfer learning algorithm with applications in bionic hand prostheses. ESANN Benjamin Paassen, Alexander Schulz, Janne Hahne, Barbara Hammer
2017	B	`conf`	Echo State Networks as Novel Approach for Low-Cost Myoelectric Control. AIME Cosima Prahm, Alexander Schulz, Benjamin Paaßen, Oskar Aszmann, Barbara Hammer, Georg Dorffner
2017	J	`jnl`	Editorial: A Successful Year and Looking Forward to 2017 and Beyond. IEEE Trans. Neural Networks Learn. Syst. Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang
2017	—	`conf`	Effects of variability in synthetic training data on convolutional neural networks for 3D head reconstruction. SSCI Jan Philip Göpfert, Christina Göpfert, Mario Botsch, Barbara Hammer
2017	J	`jnl`	Efficient kernelisation of discriminative dimensionality reduction. Neurocomputing Alexander Schulz, Johannes Brinkrolf, Barbara Hammer
2017	J	`jnl`	Expectation maximization transfer learning and its application for bionic hand prostheses. CoRR Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer
2017	B	`conf`	Feature Relevance Bounds for Linear Classification. ESANN Christina Göpfert, Lukas Pfannschmidt, Barbara Hammer
2017	B	`conf`	Label-noise-tolerant classification for streaming data. IJCNN Benoît Frénay, Barbara Hammer
2017	—	`conf`	Linear supervised transfer learning for the large margin nearest neighbor classifier. SSCI Kolja Berger, Alexander Schulz, Benjamin Paaßen, Barbara Hammer
2017	—	`conf`	Personalized maneuver prediction at intersections. ITSC Viktor Losing, Barbara Hammer, Heiko Wersing
2017	—	`conf`	Probabilistic extension and reject options for pairwise LVQ. WSOM Johannes Brinkrolf, Barbara Hammer
2017	A*	`conf`	Self-Adjusting Memory: How to Deal with Diverse Drift Types. IJCAI Viktor Losing, Barbara Hammer, Heiko Wersing
2017	J	`jnl`	The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces. CoRR Benjamin Paaßen, Barbara Hammer, Thomas William Price, Tiffany Barnes, Sebastian Gross, Niels Pinkwart
2017	J	`jnl`	Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces. CoRR Benjamin Paaßen, Christina Göpfert, Barbara Hammer
2016	J	`jnl`	Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing Benjamin Paaßen, Bassam Mokbel, Barbara Hammer
2016	B	`conf`	Choosing the best algorithm for an incremental on-line learning task. ESANN Viktor Losing, Barbara Hammer, Heiko Wersing
2016	—	`conf`	Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning. ICANN (1) Christina Göpfert, Benjamin Paassen, Barbara Hammer
2016	B	`conf`	Discriminative dimensionality reduction in kernel space. ESANN Alexander Schulz, Barbara Hammer
2016	J	`jnl`	Efficient Metric Learning for the Analysis of Motion Data. CoRR Babak Hosseini, Barbara Hammer
2016	B	`conf`	Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming. EDM Benjamin Paaßen, Joris Jensen, Barbara Hammer
2016	J	`jnl`	Feasibility Based-Large Margin Nearest Neighbor Metric Learning. CoRR Babak Hosseini, Barbara Hammer
2016	B	`conf`	Gaussian process prediction for time series of structured data. ESANN Benjamin Paassen, Christina Göpfert, Barbara Hammer
2016	B	`conf`	Incremental learning algorithms and applications. ESANN Alexander Gepperth, Barbara Hammer
2016	A*	`conf`	KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. ICDM Viktor Losing, Barbara Hammer, Heiko Wersing
2016	—	`conf`	Local Reject Option for Deterministic Multi-class SVM. ICANN (2) Johannes Kummert, Benjamin Paassen, Joris Jensen, Christina Göpfert, Barbara Hammer
2016	—	`conf`	Non-negative Kernel Sparse Coding for the Analysis of Motion Data. ICANN (2) Babak Hosseini, Felix Hülsmann, Mario Botsch, Barbara Hammer
2016	J	`jnl`	Odor recognition in robotics applications by discriminative time-series modeling. Pattern Anal. Appl. Frank-Michael Schleif, Barbara Hammer, Javier Gonzalez Monroy, Javier González Jiménez, José Luis Blanco-Claraco, Michael Biehl, Nicolai Petkov
2016	B	`conf`	Online metric learning for an adaptation to confidence drift. IJCNN Lydia Fischer, Barbara Hammer, Heiko Wersing
2016	J	`jnl`	Optimal local rejection for classifiers. Neurocomputing Lydia Fischer, Barbara Hammer, Heiko Wersing
2016	—	`conf`	Prototype-based Models for the Supervised Learning of Classification Schemes. Astroinformatics Michael Biehl, Barbara Hammer, Thomas Villmann
2016	—	`conf`	Self-Adjusting Reject Options in Prototype Based Classification. WSOM Thomas Villmann, Marika Kaden, Andrea Bohnsack, J.-M. Villmann, T. Drogies, Sascha Saralajew, Barbara Hammer
2016	J	`jnl`	acdc - Automated Contamination Detection and Confidence estimation for single-cell genome data. BMC Bioinform. Markus Lux, Jan Krüger, Christian Rinke, Irena Maus, Andreas Schlüter, Tanja Woyke, Alexander Sczyrba, Barbara Hammer
2015	B	`conf`	A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. EDM Benjamin Paaßen, Bassam Mokbel, Barbara Hammer
2015	B	`conf`	Adaptive structure metrics for automated feedback provision in Java programming. ESANN Benjamin Paassen, Bassam Mokbel, Barbara Hammer
2015	B	`conf`	Automatic discovery of metagenomic structure. IJCNN Markus Lux, Alexander Sczyrba, Barbara Hammer
2015	J	`jnl`	Autonomous Learning of Representations. Künstliche Intell. Oliver Walter, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
2015	B	`conf`	Certainty-based prototype insertion/deletion for classification with metric adaptation. ESANN Lydia Fischer, Barbara Hammer, Heiko Wersing
2015	B	`conf`	Combining offline and online classifiers for life-long learning. IJCNN Lydia Fischer, Barbara Hammer, Heiko Wersing
2015	J	`jnl`	Data visualization by nonlinear dimensionality reduction. WIREs Data Mining Knowl. Discov. Andrej Gisbrecht, Barbara Hammer
2015	B	`conf`	Discriminative dimensionality reduction for regression problems using the Fisher metric. IJCNN Alexander Schulz, Barbara Hammer
2015	J	`jnl`	Efficient approximations of robust soft learning vector quantization for non-vectorial data. Neurocomputing Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer
2015	B	`conf`	Efficient metric learning for the analysis of motion data. DSAA Babak Hosseini, Barbara Hammer
2015	J	`jnl`	Efficient rejection strategies for prototype-based classification. Neurocomputing Lydia Fischer, Barbara Hammer, Heiko Wersing
2015	—	`conf`	Inferring Feature Relevances From Metric Learning. SSCI Alexander Schulz, Bassam Mokbel, Michael Biehl, Barbara Hammer
2015	B	`conf`	Interactive online learning for obstacle classification on a mobile robot. IJCNN Viktor Losing, Barbara Hammer, Heiko Wersing
2015	J	`jnl`	Learning Feedback in Intelligent Tutoring Systems - Report of the FIT Project, Conducted from December 2011 to March 2015. Künstliche Intell. Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2015	J	`jnl`	Median variants of learning vector quantization for learning of dissimilarity data. Neurocomputing David Nebel, Barbara Hammer, Kathleen Frohberg, Thomas Villmann
2015	—	`conf`	Metric Learning in Dimensionality Reduction. ICPRAM (1) Alexander Schulz, Barbara Hammer
2015	J	`jnl`	Metric learning for sequences in relational LVQ. Neurocomputing Bassam Mokbel, Benjamin Paaßen, Frank-Michael Schleif, Barbara Hammer
2015	J	`jnl`	Optimum Reject Options for Prototype-based Classification. CoRR Lydia Fischer, Barbara Hammer, Heiko Wersing
2015	J	`jnl`	Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing Andrej Gisbrecht, Alexander Schulz, Barbara Hammer
2015	J	`jnl`	Sparse conformal prediction for dissimilarity data. Ann. Math. Artif. Intell. Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2015	J	`jnl`	Special Issue on Autonomous Learning. Künstliche Intell. Barbara Hammer, Marc Toussaint
2015	B	`conf`	Stationarity of Matrix Relevance LVQ. IJCNN Michael Biehl, Barbara Hammer, Frank-Michael Schleif, Petra Schneider, Thomas Villmann
2015	B	`conf`	Unsupervised Dimensionality Reduction for Transfer Learning. ESANN Patrick Blöbaum, Alexander Schulz, Barbara Hammer
2015	J	`jnl`	Using Discriminative Dimensionality Reduction to Visualize Classifiers. Neural Process. Lett. Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
2015	—	`conf`	Visualization of Regression Models Using Discriminative Dimensionality Reduction. CAIP (2) Alexander Schulz, Barbara Hammer
2014	J	`jnl`	Adaptive conformal semi-supervised vector quantization for dissimilarity data. Pattern Recognit. Lett. Xibin Zhu, Frank-Michael Schleif, Barbara Hammer
2014	B	`conf`	Adaptive distance measures for sequential data. ESANN Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
2014	J	`jnl`	Computational Intelligence in Big Data [Guest Editorial]. IEEE Comput. Intell. Mag. Yaochu Jin, Barbara Hammer
2014	C	`conf`	Efficient Adaptation of Structure Metrics in Prototype-Based Classification. ICANN Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
2014	J	`jnl`	Example-based feedback provision using structured solution spaces. Int. J. Learn. Technol. Sebastian Gross, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer, Niels Pinkwart
2014	—	`conf`	Generative versus Discriminative Prototype Based Classification. WSOM Barbara Hammer, David Nebel, Martin Riedel, Thomas Villmann
2014	B	`conf`	How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning. Intelligent Tutoring Systems Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2014	B	`conf`	Learning and modeling big data. ESANN Barbara Hammer, Haibo He, Thomas Martinetz
2014	J	`jnl`	Learning interpretable kernelized prototype-based models. Neurocomputing Daniela Hofmann, Frank-Michael Schleif, Benjamin Paaßen, Barbara Hammer
2014	J	`jnl`	Learning vector quantization for (dis-)similarities. Neurocomputing Barbara Hammer, Daniela Hofmann, Frank-Michael Schleif, Xibin Zhu
2014	C	`conf`	Local Rejection Strategies for Learning Vector Quantization. ICANN Lydia Fischer, Barbara Hammer, Heiko Wersing
2014	—	`conf`	Rejection Strategies for Learning Vector Quantization - A Comparison of Probabilistic and Deterministic Approaches. WSOM Lydia Fischer, David Nebel, Thomas Villmann, Barbara Hammer, Heiko Wersing
2014	B	`conf`	Rejection strategies for learning vector quantization. ESANN Lydia Fischer, Barbara Hammer, Heiko Wersing
2014	B	`conf`	Relevance Learning for Dimensionality Reduction. ESANN Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
2014	J	`jnl`	Special issue on new challenges in neural computation 2012. Neurocomputing Barbara Hammer, Thomas Villmann
2014	B	`conf`	Supervised Generative Models for Learning Dissimilarity Data. ESANN David Nebel, Barbara Hammer, Thomas Villmann
2014	C	`conf`	Valid interpretation of feature relevance for linear data mappings. CIDM Benoît Frénay, Daniela Hofmann, Alexander Schulz, Michael Biehl, Barbara Hammer
2013	C	`ed.`	17th International Conference on Information Visualisation, IV 2013, London, United Kingdom, July 16-18, 2013 IV Ebad Banissi, Hanane Azzag, Mark W. McK. Bannatyne, Stefan Bertschi, Fatma Bouali, Remo Burkhard, John Counsell, Alfredo Cuzzocrea, Martin J. Eppler, Barbara Hammer, Mustapha Lebbah, Francis T. Marchese, Muhammad Sarfraz, Anna Ursyn, Gilles Venturini, Theodor G. Wyeld
2013	—	`conf`	A Median Variant of Generalized Learning Vector Quantization. ICONIP (2) David Nebel, Barbara Hammer, Thomas Villmann
2013	C	`conf`	Applications of Discriminative Dimensionality Reduction. ICPRAM Barbara Hammer, Andrej Gisbrecht, Alexander Schulz
2013	—	`conf`	Discriminative Dimensionality Reduction for the Visualization of Classifiers. ICPRAM (Selected Papers) Andrej Gisbrecht, Alexander Schulz, Barbara Hammer
2013	—	`conf`	Distance Measures for Prototype Based Classification. BrainComp Michael Biehl, Barbara Hammer, Thomas Villmann
2013	B	`conf`	Domain-Independent Proximity Measures in Intelligent Tutoring Systems. EDM Bassam Mokbel, Sebastian Gross, Benjamin Paaßen, Niels Pinkwart, Barbara Hammer
2013	C	`conf`	Nonlinear Dimensionality Reduction for Cluster Identification in Metagenomic Samples. IV Andrej Gisbrecht, Barbara Hammer, Bassam Mokbel, Alexander Sczyrba
2013	J	`jnl`	Preface: Intelligent interactive data visualization. Data Min. Knowl. Discov. Barbara Hammer, Daniel A. Keim, Neil D. Lawrence, Guy Lebanon
2013	C	`conf`	Regularization and improved interpretation of linear data mappings and adaptive distance measures. CIDM Marc Strickert, Barbara Hammer, Thomas Villmann, Michael Biehl
2013	—	`conf`	Secure Semi-supervised Vector Quantization for Dissimilarity Data. IWANN (1) Xibin Zhu, Frank-Michael Schleif, Barbara Hammer
2013	B	`conf`	Semi-Supervised Vector Quantization for proximity data. ESANN Xibin Zhu, Frank-Michael Schleif, Barbara Hammer
2013	C	`conf`	Sparse Prototype Representation by Core Sets. IDEAL Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2013	B	`conf`	Sparse approximations for kernel learning vector quantization. ESANN Daniela Hofmann, Barbara Hammer
2013	A	`conf`	Towards Providing Feedback to Students in Absence of Formalized Domain Models. AIED Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2013	B	`conf`	Towards a Domain-Independent ITS Middleware Architecture. ICALT Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2013	—	`conf`	Using Nonlinear Dimensionality Reduction to Visualize Classifiers. IWANN (1) Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
2013	B	`conf`	Visualizing dependencies of spectral features using mutual information. ESANN Andrej Gisbrecht, Yoan Miché, Barbara Hammer, Amaury Lendasse
2013	J	`jnl`	Visualizing the quality of dimensionality reduction. Neurocomputing Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Barbara Hammer
2012	—	`conf`	A Conformal Classifier for Dissimilarity Data. AIAI (2) Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2012	J	`jnl`	A General Framework for Dimensionality-Reducing Data Visualization Mapping. Neural Comput. Kerstin Bunte, Michael Biehl, Barbara Hammer
2012	J	`jnl`	Approximation techniques for clustering dissimilarity data. Neurocomputing Xibin Zhu, Andrej Gisbrecht, Frank-Michael Schleif, Barbara Hammer
2012	J	`jnl`	Challenges in Neural Computation. Künstliche Intell. Barbara Hammer
2012	B	`conf`	Cluster Based Feedback Provision Strategies in Intelligent Tutoring Systems. ITS Sebastian Gross, Xibin Zhu, Barbara Hammer, Niels Pinkwart
2012	B	`conf`	Discriminative Dimensionality Reduction Mappings. IDA Andrej Gisbrecht, Daniela Hofmann, Barbara Hammer
2012	—	`conf`	Efficient Approximations of Kernel Robust Soft LVQ. WSOM Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer
2012	B	`conf`	Fast approximated relational and kernel clustering. ICPR Frank-Michael Schleif, Xibin Zhu, Andrej Gisbrecht, Barbara Hammer
2012	—	`conf`	Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces. DeLFI Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2012	J	`jnl`	Functional relevance learning in generalized learning vector quantization. Neurocomputing Marika Kästner, Barbara Hammer, Michael Biehl, Thomas Villmann
2012	—	`conf`	How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? ANNPR Bassam Mokbel, Sebastian Gross, Markus Lux, Niels Pinkwart, Barbara Hammer
2012	—	`conf`	How to Visualize Large Data Sets? WSOM Barbara Hammer, Andrej Gisbrecht, Alexander Schulz
2012	—	`conf`	Kernel Robust Soft Learning Vector Quantization. ANNPR Daniela Hofmann, Barbara Hammer
2012	—	`conf`	Learning Relevant Time Points for Time-Series Data in the Life Sciences. ICANN (2) Frank-Michael Schleif, Bassam Mokbel, Andrej Gisbrecht, Leslie Theunissen, Volker Dürr, Barbara Hammer
2012	J	`jnl`	Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks Kerstin Bunte, Petra Schneider, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann, Michael Biehl
2012	J	`jnl`	Linear Time Relational Prototype Based Learning. Int. J. Neural Syst. Andrej Gisbrecht, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2012	B	`conf`	Linear basis-function t-SNE for fast nonlinear dimensionality reduction. IJCNN Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
2012	B	`conf`	Out-of-sample kernel extensions for nonparametric dimensionality reduction. ESANN Andrej Gisbrecht, Wouter Lueks, Bassam Mokbel, Barbara Hammer
2012	—	`conf`	Patch Processing for Relational Learning Vector Quantization. ISNN (1) Xibin Zhu, Frank-Michael Schleif, Barbara Hammer
2012	B	`conf`	Recent developments in clustering algorithms. ESANN Charles Bouveyron, Barbara Hammer, Thomas Villmann
2012	B	`conf`	Relevance learning for short high-dimensional time series in the life sciences. IJCNN Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
2012	B	`conf`	Relevance learning for time series inspection. ESANN Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse
2012	—	`conf`	Soft Competitive Learning for Large Data Sets. ADBIS Workshops Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2012	J	`jnl`	Special Issue on Neural Learning Paradigms. Künstliche Intell. Barbara Hammer
2012	B	`conf`	Visualizing the quality of dimensionality reduction. ESANN Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Michael Biehl, Barbara Hammer
2012	—	`conf`	White Box Classification of Dissimilarity Data. HAIS (1) Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
2011	—	`conf`	A General Framework for Dimensionality Reduction for Large Data Sets. WSOM Barbara Hammer, Michael Biehl, Kerstin Bunte, Bassam Mokbel
2011	—	`conf`	Accelerating Kernel Neural Gas. ICANN (1) Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
2011	C	`conf`	Accelerating kernel clustering for biomedical data analysis. CIBCB Andrej Gisbrecht, Barbara Hammer, Frank-Michael Schleif, Xibin Zhu
2011	C	`conf`	Dimensionality reduction mappings. CIDM Kerstin Bunte, Michael Biehl, Barbara Hammer
2011	J	`jnl`	Efficient Kernelized Prototype Based Classification. Int. J. Neural Syst. Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider
2011	B	`conf`	Generalized functional relevance learning vector quantization. ESANN Marika Kästner, Barbara Hammer, Michael Biehl, Thomas Villmann
2011	J	`jnl`	How to Evaluate Dimensionality Reduction? - Improving the Co-ranking Matrix CoRR Wouter Lueks, Bassam Mokbel, Michael Biehl, Barbara Hammer
2011	J	`jnl`	Learning in the context of very high dimensional data (Dagstuhl Seminar 11341). Dagstuhl Reports Michael Biehl, Barbara Hammer, Erzsébet Merényi, Alessandro Sperduti, Thomas Villmann
2011	C	`conf`	Linear Time Heuristics for Topographic Mapping of Dissimilarity Data. IDEAL Andrej Gisbrecht, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2011	J	`jnl`	Local matrix adaptation in topographic neural maps. Neurocomputing Banchar Arnonkijpanich, Alexander Hasenfuss, Barbara Hammer
2011	J	`jnl`	Neighbor embedding XOM for dimension reduction and visualization. Neurocomputing Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller
2011	B	`conf`	Patch Affinity Propagation. ESANN Xibin Zhu, Barbara Hammer
2011	B	`conf`	Prototype-Based Classification of Dissimilarity Data. IDA Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
2011	—	`conf`	Relational Extensions of Learning Vector Quantization. ICONIP (2) Barbara Hammer, Frank-Michael Schleif, Xibin Zhu
2011	J	`jnl`	Relational generative topographic mapping. Neurocomputing Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
2011	J	`jnl`	Relevance learning in generative topographic mapping. Neurocomputing Andrej Gisbrecht, Barbara Hammer
2011	B	`conf`	Supervised dimension reduction mappings. ESANN Kerstin Bunte, Michael Biehl, Barbara Hammer
2011	J	`jnl`	Supervised learning of short and high-dimensional temporal sequences for life science measurements CoRR Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
2011	—	`conf`	Topographic Mapping of Dissimilarity Data. WSOM Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
2010	—	`conf`	10302 Abstracts Collection - Learning paradigms in dynamic environments. Learning paradigms in dynamic environments Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint
2010	—	`conf`	10302 Summary - Learning paradigms in dynamic environments. Learning paradigms in dynamic environments Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint
2010	J	`jnl`	Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data. Neurocomputing Kerstin Bunte, Barbara Hammer, Axel Wismüller, Michael Biehl
2010	—	`conf`	Clustering Very Large Dissimilarity Data Sets. ANNPR Barbara Hammer, Alexander Hasenfuss
2010	—	`conf`	Divergence Based Online Learning in Vector Quantization. ICAISC (1) Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer
2010	J	`jnl`	Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints. Knowl. Inf. Syst. Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Barbara Hammer
2010	B	`conf`	Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization. ESANN Kerstin Bunte, Barbara Hammer, Thomas Villmann, Michael Biehl, Axel Wismüller
2010	C	`conf`	Generalized Derivative Based Kernelized Learning Vector Quantization. IDEAL Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider, Michael Biehl
2010	—	`conf`	Global Coordination Based on Matrix Neural Gas for Dynamic Texture Synthesis. ANNPR Banchar Arnonkijpanich, Barbara Hammer
2010	J	`jnl`	Hyperparameter learning in probabilistic prototype-based models. Neurocomputing Petra Schneider, Michael Biehl, Barbara Hammer
2010	—	`ed.`	Learning paradigms in dynamic environments, 25.07. - 30.07.2010 Learning paradigms in dynamic environments Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint
2010	J	`jnl`	Local matrix learning in clustering and applications for manifold visualization. Neural Networks Banchar Arnonkijpanich, Alexander Hasenfuss, Barbara Hammer
2010	J	`jnl`	Median fuzzy c-means for clustering dissimilarity data. Neurocomputing Tina Geweniger, Dietlind Zühlke, Barbara Hammer, Thomas Villmann
2010	J	`jnl`	Perspectives and challenges for recurrent neural network training. Log. J. IGPL Marco Gori, Barbara Hammer, Pascal Hitzler, Guenther Palm
2010	J	`jnl`	Regularization in matrix relevance learning. IEEE Trans. Neural Networks Petra Schneider, Kerstin Bunte, Han Stiekema, Barbara Hammer, Thomas Villmann, Michael Biehl
2010	B	`conf`	Relational Generative Topographic Map. ESANN Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
2010	B	`conf`	Relevance learning in generative topographic maps. ESANN Andrej Gisbrecht, Barbara Hammer
2010	—	`conf`	Some steps towards a general principle for dimensionality reduction mappings. Learning paradigms in dynamic environments Barbara Hammer, Kerstin Bunte, Michael Biehl
2010	B	`conf`	Sparse representation of data. ESANN Thomas Villmann, Frank-Michael Schleif, Barbara Hammer
2010	—	`conf`	The Mathematics of Divergence Based Online Learning in Vector Quantization. ANNPR Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer, Michael Biehl
2010	J	`jnl`	Topographic Mapping of Large Dissimilarity Data Sets. Neural Comput. Barbara Hammer, Alexander Hasenfuss
2010	Misc	`conf`	Visualizing Dissimilarity Data Using Generative Topographic Mapping. KI Andrej Gisbrecht, Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer
2010	J	`jnl`	Window-Based Example Selection in Learning Vector Quantization. Neural Comput. Aree Witoelar, Anarta Ghosh, J. J. G. de Vries, Barbara Hammer, Michael Biehl
2009	—	`conf`	09081 Abstracts Collection - Similarity-based learning on structures. Similarity-based learning on structures Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann
2009	—	`conf`	09081 Summary - Similarity-based learning on structures. Similarity-based learning on structures Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann
2009	J	`jnl`	Adaptive Relevance Matrices in Learning Vector Quantization. Neural Comput. Petra Schneider, Michael Biehl, Barbara Hammer
2009	J	`jnl`	Cancer informatics by prototype networks in mass spectrometry. Artif. Intell. Medicine Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa, Barbara Hammer, Alexander Gammerman
2009	J	`jnl`	Distance Learning in Discriminative Vector Quantization. Neural Comput. Petra Schneider, Michael Biehl, Barbara Hammer
2009	B	`conf`	Equilibrium properties of off-line LVQ. ESANN Aree Witoelar, Michael Biehl, Barbara Hammer
2009	—	`conf`	Functional Principal Component Learning Using Oja's Method and Sobolev Norms. WSOM Thomas Villmann, Barbara Hammer
2009	—	`conf`	Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means. WSOM Tina Geweniger, Dietlind Zühlke, Barbara Hammer, Thomas Villmann
2009	—	`conf`	Graph-Based Representation of Symbolic Musical Data. GbRPR Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer
2009	B	`conf`	Hyperparameter Learning in Robust Soft LVQ. ESANN Petra Schneider, Michael Biehl, Barbara Hammer
2009	—	`conf`	Median Topographic Maps for Biomedical Data Sets. Similarity-Based Clustering Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
2009	B	`conf`	Median Variant of Fuzzy c-Means. ESANN Tina Geweniger, Dietlind Zühlke, Barbara Hammer, Thomas Villmann
2009	J	`jnl`	Median topographic maps for biomedical data sets CoRR Barbara Hammer, Alexander Hasenfuß, Fabrice Rossi
2009	—	`ch.`	Metric Learning for Prototype-Based Classification. Innovations in Neural Information Paradigms and Applications Michael Biehl, Barbara Hammer, Petra Schneider, Thomas Villmann
2009	C	`conf`	Nonlinear Dimension Reduction and Visualization of Labeled Data. CAIP Kerstin Bunte, Barbara Hammer, Michael Biehl
2009	B	`conf`	Nonlinear Discriminative Data Visualization. ESANN Kerstin Bunte, Barbara Hammer, Petra Schneider, Michael Biehl
2009	J	`jnl`	Patch clustering for massive data sets. Neurocomputing Nikolai Alex, Alexander Hasenfuss, Barbara Hammer
2009	—	`ch.`	Prototype Based Classification in Bioinformatics. Encyclopedia of Artificial Intelligence Frank-Michael Schleif, Thomas Villmann, Barbara Hammer
2009	B	`conf`	Recent advances in efficient learning of recurrent networks. ESANN Barbara Hammer, Benjamin Schrauwen, Jochen J. Steil
2009	—	`ed.`	Similarity-Based Clustering, Recent Developments and Biomedical Applications [outcome of a Dagstuhl Seminar] Similarity-Based Clustering Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann
2009	—	`ed.`	Similarity-based learning on structures, 15.02. - 20.02.2009 Similarity-based learning on structures Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann
2009	—	`conf`	Some Theoretical Aspects of the Neural Gas Vector Quantizer. Similarity-Based Clustering Thomas Villmann, Barbara Hammer, Michael Biehl
2008	—	`conf`	08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass
2008	—	`conf`	08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass
2008	—	`ch.`	Analysis of Spectral Data in Clinical Proteomics by Use of Learning Vector Quantizers. Computational Intelligence in Biomedicine and Bioinformatics Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Martijn van der Werff, André M. Deelder, Rob A. E. M. Tollenaar
2008	J	`jnl`	Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Briefings Bioinform. Thomas Villmann, Frank-Michael Schleif, Markus Kostrzewa, Axel Walch, Barbara Hammer
2008	—	`conf`	Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity. ICONIP (2) Tina Geweniger, Frank-Michael Schleif, Alexander Hasenfuss, Barbara Hammer, Thomas Villmann
2008	—	`conf`	Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. ANNPR Marc Strickert, Petra Schneider, Jens Keilwagen, Thomas Villmann, Michael Biehl, Barbara Hammer
2008	J	`jnl`	Fuzzy classification using information theoretic learning vector quantization. Neurocomputing Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Wieland Hermann, Marie Cottrell
2008	J	`jnl`	Learning dynamics and robustness of vector quantization and neural gas. Neurocomputing Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbara Hammer
2008	B	`conf`	Magnification Control in Relational Neural Gas. ESANN Alexander Hasenfuss, Barbara Hammer, Tina Geweniger, Thomas Villmann
2008	—	`conf`	Matrix Learning for Topographic Neural Maps. ICANN (1) Banchar Arnonkijpanich, Barbara Hammer, Alexander Hasenfuss, Chidchanok Lursinsap
2008	B	`conf`	Parallelizing single patch pass clustering. ESANN Nikolai Alex, Barbara Hammer
2008	—	`conf`	Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets. ANNPR Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
2008	J	`jnl`	Prototype based fuzzy classification in clinical proteomics. Int. J. Approx. Reason. Frank-Michael Schleif, Thomas Villmann, Barbara Hammer
2008	—	`ed.`	Recurrent Neural Networks - Models, Capacities, and Applications, 20.01. - 25.01.2008 Recurrent Neural Networks Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass
2008	—	`conf`	Robust Centroid-Based Clustering using Derivatives of Pearson Correlation. BIOSIGNALS (2) Marc Strickert, Nese Sreenivasulu, Thomas Villmann, Barbara Hammer
2008	—	`conf`	Single Pass Clustering and Classification of Large Dissimilarity Datasets. Artificial Intelligence and Pattern Recognition Alexander Hasenfuss, Barbara Hammer
2008	—	`conf`	Thinning Mesh Animations. VMV Tim Winkler, Jens Drieseberg, Kai Hormann, Alexander Hasenfuss, Barbara Hammer
2007	—	`conf`	07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann
2007	—	`conf`	07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology. Similarity-based Clustering and its Application to Medicine and Biology Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann
2007	—	`conf`	A general framework for unsupervised preocessing of structured data. Probabilistic, Logical and Relational Learning - A Further Synthesis Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2007	—	`ch.`	Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties. Perspectives of Neural-Symbolic Integration Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2007	—	`conf`	Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps. WILF Frank-Michael Schleif, Thomas Villmann, Barbara Hammer
2007	J	`jnl`	Dynamics and Generalization Ability of LVQ Algorithms. J. Mach. Learn. Res. Michael Biehl, Anarta Ghosh, Barbara Hammer
2007	Misc	`conf`	Fuzzy Labeled Self-Organizing Map for Classification of Spectra. IWANN Thomas Villmann, Frank-Michael Schleif, Erzsébet Merényi, Barbara Hammer
2007	B	`conf`	How to process uncertainty in machine learning?. ESANN Barbara Hammer, Thomas Villmann
2007	B	`conf`	Intuitive Clustering of Biological Data. IJCNN Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert
2007	—	`conf`	Learning Vector Quantization: generalization ability and dynamics of competing prototypes. Similarity-based Clustering and its Application to Medicine and Biology Aree Witoelar, Michael Biehl, Barbara Hammer
2007	J	`jnl`	Magnification control for batch neural gas. Neurocomputing Barbara Hammer, Alexander Hasenfuss, Thomas Villmann
2007	J	`jnl`	Margin-based active learning for LVQ networks. Neurocomputing Frank-Michael Schleif, Barbara Hammer, Thomas Villmann
2007	—	`ch.`	Markovian Bias of Neural-based Architectures With Feedback Connections. Perspectives of Neural-Symbolic Integration Peter Tiño, Barbara Hammer, Mikael Bodén
2007	Misc	`conf`	Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes. IWANN Alexander Hasenfuss, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann
2007	B	`conf`	On the dynamics of Vector Quantization and Neural Gas. ESANN Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbara Hammer
2007	—	`book`	Perspectives of Neural-Symbolic Integration Barbara Hammer, Pascal Hitzler
2007	—	`conf`	Relational Clustering. Similarity-based Clustering and its Application to Medicine and Biology Barbara Hammer, Alexander Hasenfuss
2007	Misc	`conf`	Relational Neural Gas. KI Barbara Hammer, Alexander Hasenfuss
2007	B	`conf`	Relational Topographic Maps. IDA Alexander Hasenfuss, Barbara Hammer
2007	B	`conf`	Relevance matrices in LVQ. ESANN Petra Schneider, Michael Biehl, Barbara Hammer
2007	—	`ed.`	Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007 Similarity-based Clustering and its Application to Medicine and Biology Michael Biehl, Barbara Hammer, Michel Verleysen, Thomas Villmann
2007	Misc	`conf`	Supervised Neural Gas for Classification of Functional Data and Its Application to the Analysis of Clinical Proteom Spectra. IWANN Frank-Michael Schleif, Thomas Villmann, Barbara Hammer
2006	B	`conf`	Analysis and Visualization of Proteomic Data by Fuzzy Labeled Self-Organizing Maps. CBMS Frank-Michael Schleif, Thomas Elssner, Markus Kostrzewa, Thomas Villmann, Barbara Hammer
2006	J	`jnl`	Batch and median neural gas. Neural Networks Marie Cottrell, Barbara Hammer, Alexander Hasenfuss, Thomas Villmann
2006	J	`jnl`	Comparison of relevance learning vector quantization with other metric adaptive classification methods. Neural Networks Thomas Villmann, Frank-Michael Schleif, Barbara Hammer
2006	J	`jnl`	Effizient Klassifizieren und Clustern: Lernparadigmen von Vektorquantisierern. Künstliche Intell. Barbara Hammer, Thomas Villmann
2006	—	`conf`	Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. ANNPR Thomas Villmann, Udo Seiffert, Frank-Michael Schleif, Cornelia Brüß, Tina Geweniger, Barbara Hammer
2006	J	`jnl`	Fuzzy classification by fuzzy labeled neural gas. Neural Networks Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Wieland Hermann
2006	J	`jnl`	Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis. Neurocomputing Marc Strickert, Udo Seiffert, Nese Sreenivasulu, Winfriede Weschke, Thomas Villmann, Barbara Hammer
2006	Misc	`conf`	Learning Vector Quantization Classification with Local Relevance Determination for Medical Data. ICAISC Barbara Hammer, Thomas Villmann, Frank-Michael Schleif, Cornelia Albani, Wieland Hermann
2006	J	`jnl`	Learning vector quantization: The dynamics of winner-takes-all algorithms. Neurocomputing Michael Biehl, Anarta Ghosh, Barbara Hammer
2006	B	`conf`	Magnification control for batch neural gas. ESANN Barbara Hammer, Alexander Hasenfuss, Thomas Villmann
2006	B	`conf`	Margin based Active Learning for LVQ Networks. ESANN Frank-Michael Schleif, Barbara Hammer, Thomas Villmann
2006	B	`conf`	Neural networks and machine learning in bioinformatics - theory and applications. ESANN Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann
2006	J	`jnl`	Performance analysis of LVQ algorithms: A statistical physics approach. Neural Networks Anarta Ghosh, Michael Biehl, Barbara Hammer
2006	—	`conf`	Perspectives of Self-adapted Self-organizing Clustering in Organic Computing. BioADIT Thomas Villmann, Barbara Hammer, Udo Seiffert
2006	—	`conf`	Prototype Based Classification Using Information Theoretic Learning. ICONIP (2) Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell
2006	J	`jnl`	Prototype-based fuzzy classification with local relevance for proteomics. Neurocomputing Thomas Villmann, Frank-Michael Schleif, Barbara Hammer
2006	—	`conf`	Supervised Batch Neural Gas. ANNPR Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann
2005	B	`conf`	Classification using non-standard metrics. ESANN Barbara Hammer, Thomas Villmann
2005	C	`conf`	Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning. ICMLA Thomas Villmann, Frank-Michael Schleif, Barbara Hammer
2005	J	`jnl`	Improving iterative repair strategies for scheduling with the SVM. Neurocomputing Kai Gersmann, Barbara Hammer
2005	—	`conf`	Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data. WILF Frank-Michael Schleif, Thomas Villmann, Barbara Hammer
2005	J	`jnl`	Merge SOM for temporal data. Neurocomputing Marc Strickert, Barbara Hammer
2005	J	`jnl`	New Aspects in Neurocomputing. Neurocomputing Marie Cottrell, Barbara Hammer, Thomas Villmann
2005	J	`jnl`	On approximate learning by multi-layered feedforward circuits. Theor. Comput. Sci. Bhaskar DasGupta, Barbara Hammer
2005	J	`jnl`	On the Generalization Ability of GRLVQ Networks. Neural Process. Lett. Barbara Hammer, Marc Strickert, Thomas Villmann
2005	B	`conf`	Relevance determination in reinforcement learning. ESANN Katharina Tluk von Toschanowitz, Barbara Hammer, Helge J. Ritter
2005	B	`conf`	Relevance learning for mental disease classification. ESANN Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann
2005	J	`jnl`	Special issue on neural networks and kernel methods for structured domains. Neural Networks Barbara Hammer, Craig Saunders, Alessandro Sperduti
2005	J	`jnl`	Supervised Neural Gas with General Similarity Measure. Neural Process. Lett. Barbara Hammer, Marc Strickert, Thomas Villmann
2005	B	`conf`	The dynamics of Learning Vector Quantization. ESANN Michael Biehl, Anarta Ghosh, Barbara Hammer
2005	J	`jnl`	Universal Approximation Capability of Cascade Correlation for Structures. Neural Comput. Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2005	J	`jnl`	Unsupervised recursive sequence processing. Neurocomputing Marc Strickert, Barbara Hammer, Sebastian Blohm
2004	J	`jnl`	A general framework for unsupervised processing of structured data. Neurocomputing Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert
2004	B	`conf`	A reinforcement learning algorithm to improve scheduling search heuristics with the SVM. IJCNN Kai Gersmann, Barbara Hammer
2004	B	`conf`	Neural methods for non-standard data. ESANN Barbara Hammer, Brijnesh J. Jain
2004	—	`conf`	On Early Stages of Learning in Connectionist Models with Feedback Connections. AAAI Technical Report (3) Peter Tiño, Barbara Hammer
2004	J	`jnl`	Recursive self-organizing network models. Neural Networks Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert
2004	Misc	`conf`	Relevance LVQ versus SVM. ICAISC Barbara Hammer, Marc Strickert, Thomas Villmann
2004	B	`conf`	Self-organizing context learning. ESANN Marc Strickert, Barbara Hammer
2004	C	`conf`	Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data. ICMLA Frank-Michael Schleif, U. Clauss, Thomas Villmann, Barbara Hammer
2003	J	`jnl`	A Note on the Universal Approximation Capability of Support Vector Machines. Neural Process. Lett. Barbara Hammer, Kai Gersmann
2003	J	`jnl`	Architectural Bias in Recurrent Neural Networks: Fractal Analysis. Neural Comput. Peter Tiño, Barbara Hammer
2003	B	`conf`	Improving iterative repair strategies for scheduling with the SVM. ESANN Kai Gersmann, Barbara Hammer
2003	B	`conf`	Mathematical Aspects of Neural Networks. ESANN Barbara Hammer, Thomas Villmann
2003	J	`jnl`	Neural maps in remote sensing image analysis. Neural Networks Thomas Villmann, Erzsébet Merényi, Barbara Hammer
2003	J	`jnl`	Recurrent Neural Networks with Small Weights Implement Definite Memory Machines. Neural Comput. Barbara Hammer, Peter Tiño
2003	B	`conf`	Unsupervised Recursive Sequence Processing. ESANN Marc Strickert, Barbara Hammer
2002	B	`conf`	A general framework for unsupervised processing of structured data. ESANN Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2002	C	`conf`	Architectural Bias in Recurrent Neural Networks - Fractal Analysis. ICANN Peter Tiño, Barbara Hammer
2002	B	`conf`	Batch-RLVQ. ESANN Barbara Hammer, Thomas Villmann
2002	J	`jnl`	Generalized relevance learning vector quantization. Neural Networks Barbara Hammer, Thomas Villmann
2002	C	`conf`	Learning Vector Quantization for Multimodal Data. ICANN Barbara Hammer, Marc Strickert, Thomas Villmann
2002	B	`conf`	Perspectives on learning with recurrent neural networks. ESANN Barbara Hammer, Jochen J. Steil
2002	J	`jnl`	Recurrent networks for structured data - A unifying approach and its properties. Cogn. Syst. Res. Barbara Hammer
2002	C	`conf`	Rule Extraction from Self-Organizing Networks. ICANN Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann
2001	—	`conf`	Estimating Relevant Input Dimensions for Self-organizing Algorithms. WSOM Barbara Hammer, Thomas Villmann
2001	J	`jnl`	Generalization Ability of Folding Networks. IEEE Trans. Knowl. Data Eng. Barbara Hammer
2001	C	`conf`	Generalized Relevance LVQ for Time Series. ICANN Marc Strickert, Thorsten Bojer, Barbara Hammer
2001	B	`conf`	Input pruning for neural gas architectures. ESANN Barbara Hammer, Thomas Villmann
2001	C	`conf`	On the Generalization Ability of Recurrent Networks. ICANN Barbara Hammer
2001	B	`conf`	Relevance determination in Learning Vector Quantization. ESANN Thorsten Bojer, Barbara Hammer, Daniel Schunk, Katharina Tluk von Toschanowitz
2000	B	`conf`	Limitations of hybrid systems. ESANN Barbara Hammer
2000	B	`conf`	On Approximate Learning by Multi-layered Feedforward Circuits. ALT Bhaskar DasGupta, Barbara Hammer
2000	J	`jnl`	On the approximation capability of recurrent neural networks. Neurocomputing Barbara Hammer
1999	B	`conf`	Approximation capabilities of folding networks. ESANN Barbara Hammer
1999	—	`—`	Learning with recurrent neural networks. Barbara Hammer
1999	J	`jnl`	On the Learnability of Recursive Data. Math. Control. Signals Syst. Barbara Hammer
1998	—	`conf`	On the Approximation Capability of Recurrent Neural Networks. NC Barbara Hammer
1998	B	`conf`	Training a sigmoidal network is difficult. ESANN Barbara Hammer
1997	C	`conf`	Generalization of Elman Networks. ICANN Barbara Hammer
1996	—	`book`	Theoretische Informatik - eine problemorientierte Einführung. Volker Sperschneider, Barbara Hammer