Barbara Hammer

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 268

Top Venues

University of Osnabrück, Germany (PHD)

Education History

University of Osnabrück, Germany

PHD

Publications

Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. CoRR (2024)
Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. CoRR (2024)
Valerie Vaquet, Fabian Hinder, Barbara Hammer
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. CoRR (2024)
Sarah Schröder, Alexander Schulz, Fabian Hinder, Barbara Hammer
Semantic Properties of cosine based bias scores for word embeddings. CoRR (2024)
André Artelt, Shubham Sharma, Freddy Lécué, Barbara Hammer
The Effect of Data Poisoning on Counterfactual Explanations. CoRR (2024)
Johannes Kummert, Alexander Schulz, Barbara Hammer
Metric Learning with Self-Adjusting Memory for Explaining Feature Drift. SN Comput. Sci. 4 (4) (2023)
Fabian Hinder, Valerie Vaquet, Barbara Hammer
A Remark on Concept Drift for Dependent Data. CoRR (2023)
Sarah Schröder, Alexander Schulz, Philip Kenneweg, Barbara Hammer
So Can We Use Intrinsic Bias Measures or Not? ICPRAM (2023)
Dominik Stallmann, Barbara Hammer
Unsupervised Cyclic Siamese Networks Automating Cell Imagery Analysis. Algorithms 16 (4) (2023)
Johannes Kummert, Alexander Schulz, Robert Feldhans, Moriz Habigt, Maike Stemmler, Christina Kohler, Dirk Abel, Rolf Rossaint, Barbara Hammer
Generating Cardiovascular Data to Improve Training of Assistive Heart Devices. SSCI (2023)
Sarah Schröder, Alexander Schulz, Ivan Tarakanov, Robert Feldhans, Barbara Hammer
Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. IWANN (1) (2023)
Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, Eyke Hüllermeier
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. xAI (1) (2023)
Valerie Vaquet, Fabian Hinder, Johannes Brinkrolf, Barbara Hammer
Combining self-labeling and demand based active learning for non-stationary data streams. CoRR (2023)
Christoph Schulte, Sven Wagner, Armin Runge, Dimitrios Bariamis, Barbara Hammer
Best of both, Structured and Unstructured Sparsity in Neural Networks. EuroMLSys@EuroSys (2023)
André Artelt, Alexander Schulz, Barbara Hammer
"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. ICPRAM (2023)
Fabian Hinder, Valerie Vaquet, Barbara Hammer
One or Two Things We know about Concept Drift - A Survey on Monitoring Evolving Environments. CoRR (2023)
Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
SHAP-IQ: Unified Approximation of any-order Shapley Interactions. CoRR (2023)
Aleksei Liuliakov, Luca Hermes, Barbara Hammer
AutoML technologies for the identification of sparse classification and outlier detection models. Appl. Soft Comput. 133 (2023)
Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. CoRR (2023)
Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
SHAP-IQ: Unified Approximation of any-order Shapley Interactions. NeurIPS (2023)
Ulrike Kuhl, André Artelt, Barbara Hammer
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI. CoRR (2023)
Janine Strotherm, Alissa Müller, Barbara Hammer, Benjamin Paaßen
Fairness in KI-Systemen. CoRR (2023)
André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
Unsupervised Unlearning of Concept Drift with Autoencoders. SSCI (2023)
Markus Vieth, Alexander Schulz, Barbara Hammer
Extending Drift Detection Methods to Identify When Exactly the Change Happened. IWANN (1) (2023)
Janine Strotherm, Barbara Hammer
Fairness-Enhancing Ensemble Classification in Water Distribution Networks. IWANN (1) (2023)
Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. ECML/PKDD (3) (2023)
Jonathan Jakob, Martina Hasenjäger, Barbara Hammer
Incremental Human Gait Prediction without Catastrophic Forgetting. SSCI (2023)
Philip Kenneweg, Dominik Stallmann, Barbara Hammer
Novel transfer learning schemes based on Siamese networks and synthetic data. Neural Comput. Appl. 35 (11) (2023)
Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, Eyke Hüllermeier
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. CoRR (2023)
André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer
Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Process. Lett. 55 (5) (2023)
Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer
Faster Convergence for Transformer Fine-tuning with Line Search Methods. IJCNN (2023)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
Model-based explanations of concept drift. Neurocomputing 555 (2023)
Ulrike Kuhl, André Artelt, Barbara Hammer
Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning. Frontiers Comput. Sci. 5 (2023)
Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer
Incremental permutation feature importance (iPFI): towards online explanations on data streams. Mach. Learn. 112 (12) (2023)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
On the Hardness and Necessity of Supervised Concept Drift Detection. ICPRAM (2023)
Ulrike Kuhl, André Artelt, Barbara Hammer
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI. xAI (3) (2023)
Roel Visser, Tobias M. Peters, Ingrid Scharlau, Barbara Hammer
Trust, distrust, and appropriate reliance in (X)AI: a survey of empirical evaluation of user trust. CoRR (2023)
Robert Feldhans, Alexander Schulz, Johannes Kummert, Moriz Habigt, Maike Stemmler, Christina Kohler, Dirk Abel, Rolf Rossaint, Barbara Hammer
Data Augmentation for Cardiovascular Time Series Data Using WaveNet. SSCI (2023)
André Artelt, Roel Visser, Barbara Hammer
"I do not know! but why?" - Local model-agnostic example-based explanations of reject. Neurocomputing 558 (2023)
Lars Quakernack, Valerie Vaquet, Barbara Hammer, Jens Haubrock
A Sensor Fault Detection and Imputation Framework for Electrical Distribution Grids. ISGT EUROPE (2023)
Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer
Spatial Graph Convolution Neural Networks for Water Distribution Systems. IDA (2023)
Philip Kenneweg, Sarah Schröder, Alexander Schulz, Barbara Hammer
Debiasing Sentence Embedders Through Contrastive Word Pairs. ICPRAM (2023)
Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer
Adversarial Attacks on Leakage Detectors in Water Distribution Networks. CoRR (2023)
Valerie Vaquet, Fabian Hinder, Kathrin Lammers, Jonas Vaquet, Barbara Hammer
Localization of Small Leakages in Water Distribution Networks using Concept Drift Explanation Methods. CoRR (2023)
Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer
Adversarial Attacks on Leakage Detectors in Water Distribution Networks. IWANN (2) (2023)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
Model Based Explanations of Concept Drift. CoRR (2023)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
On the Change of Decision Boundary and Loss in Learning with Concept Drift. IDA (2023)
Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
Agnostic Explanation of Model Change based on Feature Importance. Künstliche Intell. 36 (3) (2022)
Zafran Hussain Shah, Marcel Müller, Barbara Hammer, Thomas Huser, Wolfram Schenck
Impact of different loss functions on denoising of microscopic images. IJCNN (2022)
Lisa Langnickel, Alexander Schulz, Barbara Hammer, Juliane Fluck
BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based Models. CoRR (2022)
Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
SAM-kNN Regressor for Online Learning in Water Distribution Networks. CoRR (2022)
Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
Precise Change Point Detection using Spectral Drift Detection. CoRR (2022)
Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer
Explainable Artificial Intelligence for Improved Modeling of Processes. IDEAL (2022)
Fabian Hinder, Johannes Brinkrolf, Barbara Hammer
Feature Selection for Trustworthy Regression Using Higher Moments. ICANN (4) (2022)
Andrea Castellani, Sebastian Schmitt, Barbara Hammer
Stream-based Active Learning with Verification Latency in Non-stationary Environments. CoRR (2022)
Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams. CoRR (2022)
Daniel Wiens, Barbara Hammer
Single-step Adversarial Training for Semantic Segmentation. ICPRAM (2022)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer
Localization of Concept Drift: Identifying the Drifting Datapoints. IJCNN (2022)
Benjamin Paaßen, Alexander Schulz, Barbara Hammer
Reservoir stack machines. Neurocomputing 470 (2022)
Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer
Intuitiveness in Active Teaching. IEEE Trans. Hum. Mach. Syst. 52 (3) (2022)
Michiel Straat, Fthi Abadi, Zhuoyun Kan, Christina Göpfert, Barbara Hammer, Michael Biehl
Supervised learning in the presence of concept drift: a modelling framework. Neural Comput. Appl. 34 (1) (2022)
Ulrike Kuhl, André Artelt, Barbara Hammer
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. CoRR (2022)
André Artelt, Barbara Hammer
Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers. Neurocomputing 470 (2022)
Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer
The SAME score: Improved cosine based bias score for word embeddings. CoRR (2022)
Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling
A Graph-based U-Net Model for Predicting Traffic in unseen Cities. CoRR (2022)
André Artelt, Barbara Hammer
"Even if ..." - Diverse Semifactual Explanations of Reject. CoRR (2022)
André Artelt, Roel Visser, Barbara Hammer
Model Agnostic Local Explanations of Reject. CoRR (2022)
Andrea Castellani, Sebastian Schmitt, Barbara Hammer
Stream-Based Active Learning with Verification Latency in Non-stationary Environments. ICANN (4) (2022)
André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer
Explaining Reject Options of Learning Vector Quantization Classifiers. IJCCI (2022)
Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert
From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. ESANN (2022)
Markus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer
Efficient Sensor Selection for Individualized Prediction Based on Biosignals. IDEAL (2022)
Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer
SAM-kNN Regressor for Online Learning in Water Distribution Networks. ICANN (3) (2022)
Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer
Explainable Artificial Intelligence for Improved Modeling of Processes. CoRR (2022)
André Artelt, Roel Visser, Barbara Hammer
Model Agnostic Local Explanations of Reject. ESANN (2022)
Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer
Contrasting Explanation of Concept Drift. ESANN (2022)
André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Marios M. Polycarpou, Barbara Hammer
One Explanation to Rule them All - Ensemble Consistent Explanations. CoRR (2022)
Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer
Investigating intensity and transversal drift in hyperspectral imaging data. Neurocomputing 505 (2022)
André Artelt, Barbara Hammer
"Even if ..." - Diverse Semifactual Explanations of Reject. SSCI (2022)
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
Interpretable Locally Adaptive Nearest Neighbors. Neurocomputing 470 (2022)
Jonathan Jakob, Martina Hasenjäger, Barbara Hammer
Reject Options for Incremental Regression Scenarios. ICANN (4) (2022)
Dominik Stallmann, Philip Kenneweg, Barbara Hammer
Novel transfer learning schemes based on Siamese networks and synthetic data. CoRR (2022)
Andreas Mazur, André Artelt, Barbara Hammer
Improving Zorro Explanations for Sparse Observations with Dense Proxy Data. ESANN (2022)
Philip Kenneweg, Sarah Schröder, Barbara Hammer
Neural Architecture Search for Sentence Classification with BERT. ESANN (2022)
Philip Kenneweg, Alexander Schulz, Sarah Schröder, Barbara Hammer
Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. IDEAL (2022)
André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
Unsupervised Unlearning of Concept Drift with Autoencoders. CoRR (2022)
Ulrike Kuhl, André Artelt, Barbara Hammer
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning. CoRR (2022)
André Artelt, Alexander Schulz, Barbara Hammer
"Why Here and Not There?" - Diverse Contrasting Explanations of Dimensionality Reduction. CoRR (2022)
Fabian Hinder, Valerie Vaquet, Barbara Hammer
Suitability of Different Metric Choices for Concept Drift Detection. CoRR (2022)
Valerie Vaquet, André Artelt, Johannes Brinkrolf, Barbara Hammer
Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks. ICANN (2) (2022)
Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer
Spatial Graph Convolution Neural Networks for Water Distribution Systems. CoRR (2022)
André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer
Explaining Reject Options of Learning Vector Quantization Classifiers. CoRR (2022)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
On the Change of Decision Boundaries and Loss in Learning with Concept Drift. CoRR (2022)
André Artelt, Barbara Hammer
"Explain it in the Same Way!" - Model-Agnostic Group Fairness of Counterfactual Explanations. CoRR (2022)
Fabian Hinder, Valerie Vaquet, Barbara Hammer
Suitability of Different Metric Choices for Concept Drift Detection. IDA (2022)
Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling
A Graph-based U-Net Model for Predicting Traffic in unseen Cities. IJCNN (2022)
Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer
Federated learning vector quantization for dealing with drift between nodes. ESANN (2022)
Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer
Reservoir Memory Machines as Neural Computers. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Ulrike Kuhl, André Artelt, Barbara Hammer
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. FAccT (2022)
Barbara Hammer
Machine Learning in Non-Stationary Environments. IJCCI (2021)
Luca Hermes, Barbara Hammer, Malte Schilling
Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting. ESANN (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Barbara Hammer