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ORCIDBarbara Hammer
Person information
- 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
- 2023
[j117]Dominik Stallmann
, Barbara Hammer:
Unsupervised Cyclic Siamese Networks Automating Cell Imagery Analysis. Algorithms 16(4): 205 (2023)- [j116]Aleksei Liuliakov, Luca Hermes, Barbara Hammer:
AutoML technologies for the identification of sparse classification and outlier detection models. Appl. Soft Comput. 133: 109942 (2023) - [j115]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) - [j114]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) - [c252]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 - [c251]André Artelt, Alexander Schulz, Barbara Hammer:
"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. ICPRAM 2023: 27-38 - [c250]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
On the Hardness and Necessity of Supervised Concept Drift Detection. ICPRAM 2023: 164-175 - [c249]Philip Kenneweg, Sarah Schröder, Alexander Schulz, Barbara Hammer:
Debiasing Sentence Embedders Through Contrastive Word Pairs. ICPRAM 2023: 205-212 - [c248]Sarah Schröder, Alexander Schulz, Philip Kenneweg, Barbara Hammer:
So Can We Use Intrinsic Bias Measures or Not? ICPRAM 2023: 403-410 - [c247]Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer:
Spatial Graph Convolution Neural Networks for Water Distribution Systems. IDA 2023: 29-41 - [c246]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 - [i87]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) - [i86]Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer:
SHAP-IQ: Unified Approximation of any-order Shapley Interactions. CoRR abs/2303.01179 (2023) - [i85]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) - [i84]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Model Based Explanations of Concept Drift. CoRR abs/2303.09331 (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]Zafran Hussain Shah, Marcel Müller, Barbara Hammer, Thomas Huser, Wolfram Schenck:
Impact of different loss functions on denoising of microscopic images. IJCNN 2022: 1-10 - [c224]André Artelt, Barbara Hammer:
"Even if ..." - Diverse Semifactual Explanations of Reject. SSCI 2022: 854-859 - [e15]Joshua Zhexue Huang, Yi Pan, Barbara Hammer, Muhammad Khurram Khan, Xing Xie, Laizhong Cui, Yulin He:
9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022. IEEE 2022, ISBN 978-1-6654-7330-9 [contents] - [e14]Georg Krempl, Vincent Lemaire, Daniel Kottke, Andreas Holzinger, Barbara Hammer:
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. CEUR Workshop Proceedings 3079, CEUR-WS.org 2022 [contents] - [e13]Daniel Kottke, Georg Krempl, Andreas Holzinger, Barbara Hammer:
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. CEUR Workshop Proceedings 3259, CEUR-WS.org 2022 [contents] - [i83]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 abs/2202.06725 (2022) - [i82]André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer:
Explaining Reject Options of Learning Vector Quantization Classifiers. CoRR abs/2202.07244 (2022) - [i81]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
Suitability of Different Metric Choices for Concept Drift Detection. CoRR abs/2202.09486 (2022) - [i80]Lisa Langnickel, Alexander Schulz, Barbara Hammer, Juliane Fluck:
BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based Models. CoRR abs/2202.10101 (2022) - [i79]Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer:
The SAME score: Improved cosine based bias score for word embeddings. CoRR abs/2203.14603 (2022) - [i78]Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer:
SAM-kNN Regressor for Online Learning in Water Distribution Networks. CoRR abs/2204.01436 (2022) - [i77]Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Stream-based Active Learning with Verification Latency in Non-stationary Environments. CoRR abs/2204.06822 (2022) - [i76]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 abs/2205.03398 (2022) - [i75]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 abs/2205.05515 (2022) - [i74]Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer:
Precise Change Point Detection using Spectral Drift Detection. CoRR abs/2205.06507 (2022) - [i73]André Artelt, Roel Visser, Barbara Hammer:
Model Agnostic Local Explanations of Reject. CoRR abs/2205.07623 (2022) - [i72]André Artelt, Stelios G. Vrachimis, Demetrios G. Eliades, Marios M. Polycarpou, Barbara Hammer:
One Explanation to Rule them All - Ensemble Consistent Explanations. CoRR abs/2205.08974 (2022) - [i71]André Artelt, Alexander Schulz, Barbara Hammer:
"Why Here and Not There?" - Diverse Contrasting Explanations of Dimensionality Reduction. CoRR abs/2206.07391 (2022) - [i70]André Artelt, Barbara Hammer:
"Even if ..." - Diverse Semifactual Explanations of Reject. CoRR abs/2207.01898 (2022) - [i69]Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer:
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams. CoRR abs/2209.01939 (2022) - [i68]Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer:
Spatial Graph Convolution Neural Networks for Water Distribution Systems. CoRR abs/2211.09587 (2022) - [i67]Dominik Stallmann, Philip Kenneweg, Barbara Hammer:
Novel transfer learning schemes based on Siamese networks and synthetic data. CoRR abs/2211.11308 (2022) - [i66]André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer:
Unsupervised Unlearning of Concept Drift with Autoencoders. CoRR abs/2211.12989 (2022) - [i65]André Artelt, Barbara Hammer:
"Explain it in the Same Way!" - Model-Agnostic Group Fairness of Counterfactual Explanations. CoRR abs/2211.14858 (2022) - [i64]Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer:
Explainable Artificial Intelligence for Improved Modeling of Processes. CoRR abs/2212.00695 (2022) - [i63]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
On the Change of Decision Boundaries and Loss in Learning with Concept Drift. CoRR abs/2212.01223 (2022) - 2021
- [j105]Florian Buckermann, Nils Klement, Oliver Beyer, Andreas Hütten, Barbara Hammer:
Automating the optical identification of abrasive wear on electrical contact pins. Autom. 69(10): 903-914 (2021) - [j104]Dominik Stallmann, Jan Philip Göpfert, Julian Schmitz, Alexander Grünberger, Barbara Hammer:
Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation. Bioinform. 37(20): 3632-3639 (2021) - [j103]Malte Schilling, Andrew Melnik, Frank W. Ohl, Helge J. Ritter, Barbara Hammer:
Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. Neural Networks 144: 699-725 (2021) - [j102]Johannes Kummert, Alexander Schulz, Tim Redick, Nassim Ayoub, Ali Modabber, Dirk Abel, Barbara Hammer:
Efficient Reject Options for Particle Filter Object Tracking in Medical Applications. Sensors 21(6): 2114 (2021) - [j101]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:
Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Trans. Cogn. Dev. Syst. 13(3): 717-728 (2021) - [c223]Johannes Brinkrolf, Barbara Hammer:
Federated Learning Vector Quantization. ESANN 2021 - [c222]Chris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer:
Machine Learning for Measuring and Analyzing Online Social Communications. ESANN 2021 - [c221]Luca Hermes, Barbara Hammer, Malte Schilling:
Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting. ESANN 2021 - [c220]Fabian Hinder, Barbara Hammer:
Concept Drift Segmentation via Kolmogorov-Trees. ESANN 2021 - [c219]Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer:
Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. ESANN 2021 - [c218]Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer:
Graph Edit Networks. ICLR 2021 - [c217]Aleksei Liuliakov, Barbara Hammer:
AutoML Technologies for the Identification of Sparse Models. IDEAL 2021: 65-75 - [c216]Robert Feldhans, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, Eyke Hüllermeier:
Drift Detection in Text Data with Document Embeddings. IDEAL 2021: 107-118 - [c215]Barbara Hammer:
Machine Learning in Non-Stationary Environments. IJCCI 2021: 11 - [c214]André Artelt, Barbara Hammer:
Efficient computation of contrastive explanations. IJCNN 2021: 1-9 - [c213]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrastive Explanations for Explaining Model Adaptations. IWANN (1) 2021: 101-112 - [c212]Timo Friedrich, Barbara Hammer, Stefan Menzel:
Voxel-Based Three-Dimensional Neural Style Transfer. IWANN (1) 2021: 334-346 - [c211]Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise. ECML/PKDD (1) 2021: 469-484 - [c210]André Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer:
Evaluating Robustness of Counterfactual Explanations. SSCI 2021: 1-9 - [c209]Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Task-Sensitive Concept Drift Detector with Constraint Embedding. SSCI 2021: 1-8 - [c208]Fabian Hinder, Johannes Brinkrolf, Valerie Vaquet, Barbara Hammer:
A Shape-Based Method for Concept Drift Detection and Signal Denoising. SSCI 2021: 1-8 - [c207]Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Fast Non-Parametric Conditional Density Estimation using Moment Trees. SSCI 2021: 1-7 - [c206]Jonathan Jakob, Martina Hasenjäger, Barbara Hammer:
On the suitability of incremental learning for regression tasks in exoskeleton control. SSCI 2021: 1-8 - [c205]Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer:
Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings. SSCI 2021: 1-7 - [e12]Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano:
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. Lecture Notes in Computer Science 12978, Springer 2021, ISBN 978-3-030-86513-9 [contents] - [e11]Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano:
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. Lecture Notes in Computer Science 12979, Springer 2021, ISBN 978-3-030-86516-0 [contents] - [i62]André Artelt, Barbara Hammer:
Fairness and Robustness of Contrasting Explanations. CoRR abs/2103.02354 (2021) - [i61]André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrastive Explanations for Explaining Model Adaptations. CoRR abs/2104.02459 (2021) - [i60]Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise. CoRR abs/2105.00349 (2021) - [i59]Benjamin Paaßen, Alexander Schulz, Barbara Hammer:
Reservoir Stack Machines. CoRR abs/2105.01616 (2021) - [i58]André Artelt, Barbara Hammer:
Convex optimization for actionable \& plausible counterfactual explanations. CoRR abs/2105.07630 (2021) - [i57]Daniel Wiens, Barbara Hammer:
Single-Step Adversarial Training for Semantic Segmentation. CoRR abs/2106.15998 (2021) - [i56]Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Task-Sensitive Concept Drift Detector with Constraint Embedding. CoRR abs/2108.06980 (2021) - [i55]Luca Hermes, Barbara Hammer, Malte Schilling:
Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting. CoRR abs/2110.04810 (2021) - [i54]Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer:
Evaluating Metrics for Bias in Word Embeddings. CoRR abs/2111.07864 (2021) - 2020
- [j100]Babak Hosseini, Romain Montagné, Barbara Hammer:
Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation. Data Sci. Eng. 5(2): 126-139 (2020) - [j99]Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer:
Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information. Neurocomputing 416: 266-279 (2020) - [j98]Lazaros S. Iliadis, Vera Kurková, Barbara Hammer:
Brain-inspired computing and machine learning. Neural Comput. Appl. 32(11): 6641-6643 (2020) - [j97]Johannes Brinkrolf, Barbara Hammer:
Time integration and reject options for probabilistic output of pairwise LVQ. Neural Comput. Appl. 32(24): 18009-18022 (2020) - [c204]André Artelt, Barbara Hammer:
Efficient computation of counterfactual explanations of LVQ models. ESANN 2020: 19-24 - [c203]Johannes Brinkrolf, Barbara Hammer:
Sparse Metric Learning in Prototype-based Classification. ESANN 2020: 375-380 - [c202]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Locally Adaptive Nearest Neighbors. ESANN 2020: 667-672 - [c201]André Artelt, Barbara Hammer:
Convex Density Constraints for Computing Plausible Counterfactual Explanations. ICANN (1) 2020: 353-365 - [c200]Fabian Hinder, Johannes Kummert, Barbara Hammer:
Explaining Concept Drift by Mean of Direction. ICANN (1) 2020: 379-390 - [c199]Valerie Vaquet, Barbara Hammer:
Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data. ICANN (2) 2020: 850-862 - [c198]Fabian Hinder, André Artelt, Barbara Hammer:
Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). ICML 2020: 4249-4259 - [c197]