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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
- 2022
[j111]André Artelt, Barbara Hammer:
Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers. Neurocomputing 470: 304-317 (2022)- [j110]Jan Philip Göpfert
, Heiko Wersing, Barbara Hammer:
Interpretable Locally Adaptive Nearest Neighbors. Neurocomputing 470: 344-351 (2022) - [j109]Benjamin Paaßen, Alexander Schulz, Barbara Hammer:
Reservoir stack machines. Neurocomputing 470: 352-364 (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) - [c226]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 - [c225]Daniel Wiens, Barbara Hammer:
Single-step Adversarial Training for Semantic Segmentation. ICPRAM 2022: 179-187 - [c224]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
Suitability of Different Metric Choices for Concept Drift Detection. IDA 2022: 157-170 - [i76]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) - [i75]André Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer:
Explaining Reject Options of Learning Vector Quantization Classifiers. CoRR abs/2202.07244 (2022) - [i74]Fabian Hinder, Valerie Vaquet, Barbara Hammer:
Suitability of Different Metric Choices for Concept Drift Detection. CoRR abs/2202.09486 (2022) - [i73]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) - [i72]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) - [i71]Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer:
SAM-kNN Regressor for Online Learning in Water Distribution Networks. CoRR abs/2204.01436 (2022) - [i70]Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Stream-based Active Learning with Verification Latency in Non-stationary Environments. CoRR abs/2204.06822 (2022) - [i69]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) - [i68]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) - [i67]Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer:
Precise Change Point Detection using Spectral Drift Detection. CoRR abs/2205.06507 (2022) - [i66]André Artelt, Roel Visser, Barbara Hammer:
Model Agnostic Local Explanations of Reject. CoRR abs/2205.07623 (2022) - [i65]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) - [i64]André Artelt, Alexander Schulz, Barbara Hammer:
"Why Here and Not There?" - Diverse Contrasting Explanations of Dimensionality Reduction. CoRR abs/2206.07391 (2022) - [i63]André Artelt, Barbara Hammer:
"Even if ..." - Diverse Semifactual Explanations of Reject. CoRR abs/2207.01898 (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]Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer:
Adversarial Attacks Hidden in Plain Sight. IDA 2020: 235-247 - [c196]Alexander Schulz, Fabian Hinder, Barbara Hammer:
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. IJCAI 2020: 2305-2311 - [c195]Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet:
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. IJCNN 2020: 1-8 - [i53]André Artelt, Barbara Hammer:
Convex Density Constraints for Computing Plausible Counterfactual Explanations. CoRR abs/2002.04862 (2020) - [i52]Lukas Pfannschmidt, Barbara Hammer:
Sequential Feature Classification in the Context of Redundancies. CoRR abs/2004.00658 (2020) - [i51]Michiel Straat, Fthi Abadi, Zhuoyun Kan, Christina Göpfert, Barbara Hammer, Michael Biehl:
Supervised Learning in the Presence of Concept Drift: A modelling framework. CoRR abs/2005.10531 (2020) - [i50]Fabian Hinder, Barbara Hammer:
Counterfactual Explanations of Concept Drift. CoRR abs/2006.12822 (2020) - [i49]Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer:
Reservoir Memory Machines as Neural Computers. CoRR abs/2009.06342 (2020) - [i48]André Artelt, Barbara Hammer:
Efficient computation of contrastive explanations. CoRR abs/2010.02647 (2020) - [i47]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. CoRR abs/2010.10124 (2020) - [i46]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Locally Adaptive Nearest Neighbors. CoRR abs/2011.03904 (2020) - [i45]Fabian Hinder, Jonathan Jakob, Barbara Hammer:
Analysis of Drifting Features. CoRR abs/2012.00499 (2020) - [i44]Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer:
Intuitiveness in Active Teaching. CoRR abs/2012.13551 (2020)
2010 – 2019
- 2019
- [j96]Johannes Brinkrolf, Christina Göpfert, Barbara Hammer:
Differential privacy for learning vector quantization. Neurocomputing 342: 125-136 (2019) - [c194]Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer:
FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration. CIBCB 2019: 1-10 - [c193]Babak Hosseini, Barbara Hammer:
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. CIKM 2019: 1863-1872 - [c192]Albert Bifet, Barbara Hammer, Frank-Michael Schleif:
Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets. ESANN 2019 - [c191]Babak Hosseini, Barbara Hammer:
Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series. ESANN 2019 - [c190]Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer:
Feature relevance bounds for ordinal regression. ESANN 2019 - [c189]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Recovering Localized Adversarial Attacks. ICANN (1) 2019: 302-311 - [c188]Babak Hosseini, Romain Montagné, Barbara Hammer:
Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation. ICDM 2019: 1096-1101 - [c187]Peng Li, Oliver Niggemann, Barbara Hammer:
On the Identification of Decision Boundaries for Anomaly Detection in CPPS. ICIT 2019: 1311-1316 - [c186]Viktor Losing, Taizo Yoshikawa, Martina Hasenjäger, Barbara Hammer, Heiko Wersing:
Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. ICRA 2019: 9530-9536 - [c185]Babak Hosseini, Barbara Hammer:
Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. IJCNN 2019: 1-8 - [c184]Christina Göpfert, Jan Philip Göpfert, Barbara Hammer:
Adversarial Robustness Curves. PKDD/ECML Workshops (1) 2019: 172-179 - [c183]Babak Hosseini, Barbara Hammer:
Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. ECML/PKDD (1) 2019: 310-326 - [c182]Michael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer:
Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling Framework. WSOM+ 2019: 210-221 - [i43]Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer:
Feature Relevance Bounds for Ordinal Regression. CoRR abs/1902.07662 (2019) - [i42]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Adversarial attacks hidden in plain sight. CoRR abs/1902.09286 (2019) - [i41]Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer:
FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration. CoRR abs/1903.00719 (2019) - [i40]Babak Hosseini, Barbara Hammer:
Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series. CoRR abs/1903.01867 (2019) - [i39]Babak Hosseini, Barbara Hammer:
Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. CoRR abs/1903.03364 (2019) - [i38]Babak Hosseini, Felix Hülsmann, Mario Botsch, Barbara Hammer:
Non-Negative Kernel Sparse Coding for the Classification of Motion Data. CoRR abs/1903.03891 (2019) - [i37]Babak Hosseini, Barbara Hammer:
Confident Kernel Sparse Coding and Dictionary Learning. CoRR abs/1903.05219 (2019) - [i36]Babak Hosseini, Barbara Hammer:
Non-Negative Local Sparse Coding for Subspace Clustering. CoRR abs/1903.05239 (2019) - [i35]Michael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer:
Prototype-based classifiers in the presence of concept drift: A modelling framework. CoRR abs/1903.07273 (2019) - [i34]Christina Göpfert, Jan Philip Göpfert, Barbara Hammer:
Adversarial Robustness Curves. CoRR abs/1908.00096 (2019) - [i33]André Artelt, Barbara Hammer:
Efficient computation of counterfactual explanations of LVQ models. CoRR abs/1908.00735 (2019) - [i32]Alexander Schulz, Fabian Hinder, Barbara Hammer:
DeepView: Visualizing the behavior of deep neural networks in a part of the data space. CoRR abs/1909.09154 (2019) - [i31]Babak Hosseini, Barbara Hammer:
Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. CoRR abs/1909.09218 (2019) - [i30]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Recovering Localized Adversarial Attacks. CoRR abs/1910.09239 (2019) - [i29]Babak Hosseini, Barbara Hammer:
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. CoRR abs/1911.03949 (2019) - [i28]Babak Hosseini, Romain Montagné, Barbara Hammer:
Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation. CoRR abs/1911.04969 (2019) - [i27]André Artelt, Barbara Hammer:
On the computation of counterfactual explanations - A survey. CoRR abs/1911.07749 (2019) - [i26]Fabian Hinder, André Artelt, Barbara Hammer:
A probability theoretic approach to drifting data in continuous time domains. CoRR abs/1912.01969 (2019) - [i25]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. CoRR abs/1912.04832 (2019) - 2018
- [j95]Johannes Brinkrolf, Barbara Hammer:
Interpretable machine learning with reject option. Autom. 66(4): 283-290 (2018) - [j94]Markus Lux, Ryan Remy Brinkman, Cédric Chauve, Adam Laing, Anna Lorenc, Lucie Abeler-Dörner, Barbara Hammer:
flowLearn: fast and precise identification and quality checking of cell populations in flow cytometry. Bioinform. 34(13): 2245-2253 (2018) - [j93]Felix Hülsmann, Jan Philip Göpfert, Barbara Hammer, Stefan Kopp, Mario Botsch:
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. 76: 47-59 (2018) - [j92]Nelishia Pillay, Rong Qu, Dipti Srinivasan, Barbara Hammer, Kenneth Sörensen:
Automated Design of Machine Learning and Search Algorithms [Guest Editorial]. IEEE Comput. Intell. Mag. 13(2): 16-17 (2018) - [j91]Michiel Straat, Fthi Abadi, Christina Göpfert, Barbara Hammer, Michael Biehl:
Statistical Mechanics of On-Line Learning Under Concept Drift. Entropy 20(10): 775 (2018) - [j90]Viktor Losing, Barbara Hammer, Heiko Wersing:
Incremental on-line learning: A review and comparison of state of the art algorithms. Neurocomputing 275: 1261-1274 (2018) - [j89]Christina Göpfert, Lukas Pfannschmidt, Jan Philip Göpfert, Barbara Hammer:
Interpretation of linear classifiers by means of feature relevance bounds. Neurocomputing 298: 69-79 (2018) - [j88]Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer:
Expectation maximization transfer learning and its application for bionic hand prostheses. Neurocomputing 298: 122-133 (2018) - [j87]Viktor Losing, Barbara Hammer, Heiko Wersing:
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). Knowl. Inf. Syst. 54(1): 171-201 (2018) - [j86]Benjamin Paaßen, Christina Göpfert, Barbara Hammer:
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces. Neural Process. Lett. 48(2): 669-689 (2018) - [c181]