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ORCIDBarbara Hammer
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- affiliation: Bielefeld University, Faculty of Technology
- affiliation: Clausthal University of Technology, Computer Science Institute
- affiliation: University of Osnabrück, Institute of Computer Science
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2020 – today
- 2024
[j126]Malte Schilling
, Barbara Hammer, Frank W. Ohl, Helge J. Ritter, Laurenz Wiskott:
Modularity in Nervous Systems - a Key to Efficient Adaptivity for Deep Reinforcement Learning. Cogn. Comput. 16(5): 2358-2373 (2024)- [j125]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
One or two things we know about concept drift - a survey on monitoring in evolving environments. Part A: detecting concept drift. Frontiers Artif. Intell. 7 (2024) - [j124]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
Feature-based analyses of concept drift. Neurocomputing 600: 127968 (2024) - [c284]Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier:
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. AAAI 2024: 14388-14396 - [c283]Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer:
Physics-Informed Graph Neural Networks for Water Distribution Systems. AAAI 2024: 21905-21913 - [c282]Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier:
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. AISTATS 2024: 3520-3528 - [c281]Nils Grimmelsmann, Malte Mechtenberg, Markus Vieth, Alexander Schulz, Barbara Hammer, Axel Schneider:
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) 2024: 611-621 - [c280]Valerie Vaquet, Fabian Hinder, André Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer:
Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks. ICANN (9) 2024: 155-170 - [c279]Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer:
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. ICML 2024 - [c278]Sarah Schröder, Alexander Schulz, Fabian Hinder, Barbara Hammer:
Semantic Properties of Cosine Based Bias Scores for Word Embeddings. ICPRAM 2024: 160-168 - [c277]Valerie Vaquet, Fabian Hinder, Barbara Hammer:
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. ICPRAM 2024: 296-303 - [c276]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
A Remark on Concept Drift for Dependent Data. IDA (1) 2024: 77-89 - [c275]Christian Internò, Markus Olhofer, Yaochu Jin, Barbara Hammer:
Federated Loss Exploration for Improved Convergence on Non-IID Data. IJCNN 2024: 1-8 - [c274]Philip Kenneweg, Tristan Kenneweg, Fabian Fumagalli, Barbara Hammer:
No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. IJCNN 2024: 1-8 - [c273]Thorben Markmann, Michiel Straat, Barbara Hammer:
Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Bénard Convection. IJCNN 2024: 1-8 - [c272]Sarah Schröder, Alexander Schulz, Barbara Hammer:
The SAME score: Improved cosine based measure for semantic bias. IJCNN 2024: 1-8 - [c271]Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Kathrin Lammers, Lars Quakernack, Barbara Hammer:
Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations. IJCNN 2024: 1-8 - [c270]Riza Velioglu, Robin Chan, Barbara Hammer:
FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation. IJCNN 2024: 1-8 - [i115]Valerie Vaquet, Fabian Hinder, Barbara Hammer:
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. CoRR abs/2401.01733 (2024) - [i114]Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier:
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. CoRR abs/2401.12069 (2024) - [i113]Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier:
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. CoRR abs/2401.13371 (2024) - [i112]Sarah Schröder, Alexander Schulz, Fabian Hinder, Barbara Hammer:
Semantic Properties of cosine based bias scores for word embeddings. CoRR abs/2401.15499 (2024) - [i111]André Artelt, Shubham Sharma, Freddy Lécué, Barbara Hammer:
The Effect of Data Poisoning on Counterfactual Explanations. CoRR abs/2402.08290 (2024) - [i110]Tristan Kenneweg, Philip Kenneweg, Barbara Hammer:
Retrieval Augmented Generation Systems: Automatic Dataset Creation, Evaluation and Boolean Agent Setup. CoRR abs/2403.00820 (2024) - [i109]Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer:
Faster Convergence for Transformer Fine-tuning with Line Search Methods. CoRR abs/2403.18506 (2024) - [i108]Philip Kenneweg, Tristan Kenneweg, Barbara Hammer:
Improving Line Search Methods for Large Scale Neural Network Training. CoRR abs/2403.18519 (2024) - [i107]Philip Kenneweg, Sarah Schröder, Barbara Hammer:
Neural Architecture Search for Sentence Classification with BERT. CoRR abs/2403.18547 (2024) - [i106]Philip Kenneweg, Sarah Schröder, Alexander Schulz, Barbara Hammer:
Debiasing Sentence Embedders through Contrastive Word Pairs. CoRR abs/2403.18555 (2024) - [i105]Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer:
Physics-Informed Graph Neural Networks for Water Distribution Systems. CoRR abs/2403.18570 (2024) - [i104]Isaac Roberts, Alexander Schulz, Luca Hermes, Barbara Hammer:
Targeted Visualization of the Backbone of Encoder LLMs. CoRR abs/2403.18872 (2024) - [i103]Philip Kenneweg, Alexander Schulz, Sarah Schröder, Barbara Hammer:
Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers. CoRR abs/2404.01317 (2024) - [i102]Riza Velioglu, Robin Chan, Barbara Hammer:
FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation. CoRR abs/2404.08582 (2024) - [i101]Thorben Markmann, Michiel Straat, Barbara Hammer:
Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Bénard Convection. CoRR abs/2405.06425 (2024) - [i100]Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer:
Automated Federated Learning via Informed Pruning. CoRR abs/2405.10271 (2024) - [i99]Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer:
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions. CoRR abs/2405.10852 (2024) - [i98]André Artelt, Marios S. Kyriakou, Stelios G. Vrachimis, Demetrios G. Eliades, Barbara Hammer, Marios M. Polycarpou:
A Toolbox for Supporting Research on AI in Water Distribution Networks. CoRR abs/2406.02078 (2024) - [i97]André Artelt, Barbara Hammer:
Analyzing the Influence of Training Samples on Explanations. CoRR abs/2406.03012 (2024) - [i96]Philip Kenneweg, Tristan Kenneweg, Fabian Fumagalli, Barbara Hammer:
No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. CoRR abs/2407.20650 (2024) - 2023
- [j123]Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer:
Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams. Appl. Artif. Intell. 37(1) (2023) - [j122]Dominik Stallmann, Barbara Hammer:
Unsupervised Cyclic Siamese Networks Automating Cell Imagery Analysis. Algorithms 16(4): 205 (2023) - [j121]Aleksei Liuliakov, Luca Hermes, Barbara Hammer:
AutoML technologies for the identification of sparse classification and outlier detection models. Appl. Soft Comput. 133: 109942 (2023) - [j120]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) - [j119]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Model-based explanations of concept drift. Neurocomputing 555: 126640 (2023) - [j118]André Artelt, Roel Visser, Barbara Hammer:
"I do not know! but why?" - Local model-agnostic example-based explanations of reject. Neurocomputing 558: 126722 (2023) - [j117]Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer:
Incremental permutation feature importance (iPFI): towards online explanations on data streams. Mach. Learn. 112(12): 4863-4903 (2023) - [j116]Philip Kenneweg, Dominik Stallmann, Barbara Hammer:
Novel transfer learning schemes based on Siamese networks and synthetic data. Neural Comput. Appl. 35(11): 8423-8436 (2023) - [j115]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Process. Lett. 55(5): 5273-5297 (2023) - [j114]Johannes Kummert, Alexander Schulz, Barbara Hammer:
Metric Learning with Self-Adjusting Memory for Explaining Feature Drift. SN Comput. Sci. 4(4): 376 (2023) - [c269]Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer:
On Feature Removal for Explainability in Dynamic Environments. ESANN 2023 - [c268]Fabian Hinder, Barbara Hammer:
Feature Selection for Concept Drift Detection. ESANN 2023 - [c267]Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts. ESANN 2023 - [c266]Christoph Schulte, Sven Wagner, Armin Runge, Dimitrios Bariamis, Barbara Hammer:
Best of both, Structured and Unstructured Sparsity in Neural Networks. EuroMLSys@EuroSys 2023: 104-108 - [c265]André Artelt, Alexander Schulz, Barbara Hammer:
"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. ICPRAM 2023: 27-38 - [c264]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
On the Hardness and Necessity of Supervised Concept Drift Detection. ICPRAM 2023: 164-175 - [c263]Philip Kenneweg, Sarah Schröder, Alexander Schulz, Barbara Hammer:
Debiasing Sentence Embedders Through Contrastive Word Pairs. ICPRAM 2023: 205-212 - [c262]Sarah Schröder, Alexander Schulz, Philip Kenneweg, Barbara Hammer:
So Can We Use Intrinsic Bias Measures or Not? ICPRAM 2023: 403-410 - [c261]Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer:
Spatial Graph Convolution Neural Networks for Water Distribution Systems. IDA 2023: 29-41 - [c260]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
On the Change of Decision Boundary and Loss in Learning with Concept Drift. IDA 2023: 182-194 - [c259]Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer:
Faster Convergence for Transformer Fine-tuning with Line Search Methods. IJCNN 2023: 1-8 - [c258]Lars Quakernack, Valerie Vaquet, Barbara Hammer, Jens Haubrock:
A Sensor Fault Detection and Imputation Framework for Electrical Distribution Grids. ISGT EUROPE 2023: 1-5 - [c257]Markus Vieth, Alexander Schulz, Barbara Hammer:
Extending Drift Detection Methods to Identify When Exactly the Change Happened. IWANN (1) 2023: 92-104 - [c256]Janine Strotherm, Barbara Hammer:
Fairness-Enhancing Ensemble Classification in Water Distribution Networks. IWANN (1) 2023: 119-133 - [c255]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: 134-145 - [c254]Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer:
Adversarial Attacks on Leakage Detectors in Water Distribution Networks. IWANN (2) 2023: 451-463 - [c253]Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer:
SHAP-IQ: Unified Approximation of any-order Shapley Interactions. NeurIPS 2023 - [c252]Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier:
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. ECML/PKDD (3) 2023: 428-445 - [c251]André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer:
Unsupervised Unlearning of Concept Drift with Autoencoders. SSCI 2023: 703-710 - [c250]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: 836-841 - [c249]Jonathan Jakob, Martina Hasenjäger, Barbara Hammer:
Incremental Human Gait Prediction without Catastrophic Forgetting. SSCI 2023: 1004-1011 - [c248]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: 1292-1297 - [c247]Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, Eyke Hüllermeier:
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. xAI (1) 2023: 177-194 - [c246]Ulrike Kuhl, André Artelt, Barbara Hammer:
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI. xAI (3) 2023: 280-300 - [e16]Mirko Bunse, Barbara Hammer, Georg Krempl, Vincent Lemaire, Alaa Tharwat, Amal Saadallah:
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. CEUR Workshop Proceedings 3470, CEUR-WS.org 2023 [contents] - [i95]Valerie Vaquet, Fabian Hinder, Johannes Brinkrolf, Barbara Hammer:
Combining self-labeling and demand based active learning for non-stationary data streams. CoRR abs/2302.04141 (2023) - [i94]Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer:
SHAP-IQ: Unified Approximation of any-order Shapley Interactions. CoRR abs/2303.01179 (2023) - [i93]Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier:
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. CoRR abs/2303.01181 (2023) - [i92]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Model Based Explanations of Concept Drift. CoRR abs/2303.09331 (2023) - [i91]Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer:
Adversarial Attacks on Leakage Detectors in Water Distribution Networks. CoRR abs/2306.06107 (2023) - [i90]Ulrike Kuhl, André Artelt, Barbara Hammer:
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI. CoRR abs/2306.07637 (2023) - [i89]Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, Eyke Hüllermeier:
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. CoRR abs/2306.07775 (2023) - [i88]Janine Strotherm, Alissa Müller, Barbara Hammer, Benjamin Paaßen:
Fairness in KI-Systemen. CoRR abs/2307.08486 (2023) - [i87]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
One or Two Things We know about Concept Drift - A Survey on Monitoring Evolving Environments. CoRR abs/2310.15826 (2023) - [i86]Valerie Vaquet, Fabian Hinder, Kathrin Lammers, Jonas Vaquet, Barbara Hammer:
Localization of Small Leakages in Water Distribution Networks using Concept Drift Explanation Methods. CoRR abs/2310.15830 (2023) - [i85]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 abs/2312.02034 (2023) - [i84]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
A Remark on Concept Drift for Dependent Data. CoRR abs/2312.10212 (2023) - 2022
- [j113]André Artelt, Barbara Hammer:
Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers. Neurocomputing 470: 304-317 (2022) - [j112]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Interpretable Locally Adaptive Nearest Neighbors. Neurocomputing 470: 344-351 (2022) - [j111]Benjamin Paaßen, Alexander Schulz, Barbara Hammer:
Reservoir stack machines. Neurocomputing 470: 352-364 (2022) - [j110]Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer:
Investigating intensity and transversal drift in hyperspectral imaging data. Neurocomputing 505: 68-79 (2022) - [j109]Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier:
Agnostic Explanation of Model Change based on Feature Importance. Künstliche Intell. 36(3): 211-224 (2022) - [j108]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): 101-118 (2022) - [j107]Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer:
Intuitiveness in Active Teaching. IEEE Trans. Hum. Mach. Syst. 52(3): 458-467 (2022) - [j106]Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer:
Reservoir Memory Machines as Neural Computers. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2575-2585 (2022) - [c245]André Artelt, Roel Visser, Barbara Hammer:
Model Agnostic Local Explanations of Reject. ESANN 2022 - [c244]Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer:
Federated learning vector quantization for dealing with drift between nodes. ESANN 2022 - [c243]Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer:
Contrasting Explanation of Concept Drift. ESANN 2022 - [c242]Philip Kenneweg, Sarah Schröder, Barbara Hammer:
Neural Architecture Search for Sentence Classification with BERT. ESANN 2022 - [c241]Andreas Mazur, André Artelt, Barbara Hammer:
Improving Zorro Explanations for Sparse Observations with Dense Proxy Data. ESANN 2022 - [c240]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 - [c239]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: 2125-2137 - [c238]Fabian Hinder, Johannes Brinkrolf, Barbara Hammer:
Feature Selection for Trustworthy Regression Using Higher Moments. ICANN (4) 2022: 76-87 - [c237]Jonathan Jakob, Martina Hasenjäger, Barbara Hammer:
Reject Options for Incremental Regression Scenarios. ICANN (4) 2022: 248-259 - [c236]Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Stream-Based Active Learning with Verification Latency in Non-stationary Environments. ICANN (4) 2022: 260-272 - [c235]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: 682-693 - [c234]Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer:
SAM-kNN Regressor for Online Learning in Water Distribution Networks. ICANN (3) 2022: 752-762 - [c233]Daniel Wiens, Barbara Hammer:
Single-step Adversarial Training for Semantic Segmentation. ICPRAM 2022: 179-187 - [c232]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
Suitability of Different Metric Choices for Concept Drift Detection. IDA 2022: 157-170 - [c231]Philip Kenneweg, Alexander Schulz, Sarah Schröder, Barbara Hammer:
Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. IDEAL 2022: 252-261 - [c230]Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer:
Explainable Artificial Intelligence for Improved Modeling of Processes. IDEAL 2022: 313-325 - [c229]Markus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer:
Efficient Sensor Selection for Individualized Prediction Based on Biosignals. IDEAL 2022: 326-337 - [c228]André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer:
Explaining Reject Options of Learning Vector Quantization Classifiers. IJCCI 2022: 249-261 - [c227]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: 1-8 - [c226]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer:
Localization of Concept Drift: Identifying the Drifting Datapoints. IJCNN 2022: 1-9 - [c225]