Barbara Hammer - researchr alias

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Viewing Publication 1 - 100 from 392

2023

"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality ReductionAndré Artelt, Alexander Schulz 0001, Barbara Hammer. icpram 2023: 27-38 [doi]

Spatial Graph Convolution Neural Networks for Water Distribution SystemsInaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer. ida 2023: 29-41 [doi]

On the Change of Decision Boundary and Loss in Learning with Concept DriftFabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer. ida 2023: 182-194 [doi]

On the Hardness and Necessity of Supervised Concept Drift DetectionFabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer. icpram 2023: 164-175 [doi]

Model-based explanations of concept driftFabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer. ijon, 555:126640, October 2023. [doi]

Debiasing Sentence Embedders Through Contrastive Word PairsPhilip Kenneweg, Sarah Schröder, Alexander Schulz 0001, Barbara Hammer. icpram 2023: 205-212 [doi]

Faster Convergence for Transformer Fine-tuning with Line Search MethodsPhilip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer. ijcnn 2023: 1-8 [doi]

Novel transfer learning schemes based on Siamese networks and synthetic dataPhilip Kenneweg, Dominik Stallmann, Barbara Hammer. nca, 35(11):8423-8436, April 2023. [doi]

Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learningUlrike Kuhl, André Artelt, Barbara Hammer. fcomp, 5, 2023. [doi]

Metric Learning with Self-Adjusting Memory for Explaining Feature DriftJohannes Kummert, Alexander Schulz 0001, Barbara Hammer. sncs, 4(4):376, July 2023. [doi]

AutoML technologies for the identification of sparse classification and outlier detection modelsAleksei Liuliakov, Luca Hermes, Barbara Hammer. asc, 133:109942, January 2023. [doi]

iSAGE: An Incremental Version of SAGE for Online Explanation on Data StreamsMaximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier. pkdd 2023: 428-445 [doi]

So Can We Use Intrinsic Bias Measures or Not?Sarah Schröder, Alexander Schulz 0001, Philip Kenneweg, Barbara Hammer. icpram 2023: 403-410 [doi]

Best of both, Structured and Unstructured Sparsity in Neural NetworksChristoph Schulte, Sven Wagner, Armin Runge, Dimitrios Bariamis, Barbara Hammer. eurosys 2023: 104-108 [doi]

Unsupervised Cyclic Siamese Networks Automating Cell Imagery AnalysisDominik Stallmann, Barbara Hammer. algorithms, 16(4):205, April 2023. [doi]

2022

Model Agnostic Local Explanations of RejectAndré Artelt, Roel Visser, Barbara Hammer. esann 2022: [doi]

"Even if ..." - Diverse Semifactual Explanations of RejectAndré Artelt, Barbara Hammer. ssci 2022: 854-859 [doi]

Explaining Reject Options of Learning Vector Quantization ClassifiersAndré Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer. ijcci 2022: 249-261 [doi]

Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiersAndré Artelt, Barbara Hammer. ijon, 470:304-317, 2022. [doi]

Federated learning vector quantization for dealing with drift between nodesJohannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer. esann 2022: [doi]

Stream-Based Active Learning with Verification Latency in Non-stationary EnvironmentsAndrea Castellani, Sebastian Schmitt, Barbara Hammer. icann 2022: 260-272 [doi]

Intuitiveness in Active TeachingJan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer. thms, 52(3):458-467, 2022. [doi]

Interpretable Locally Adaptive Nearest NeighborsJan Philip Göpfert, Heiko Wersing, Barbara Hammer. ijon, 470:344-351, 2022. [doi]

A Graph-based U-Net Model for Predicting Traffic in unseen CitiesLuca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling. ijcnn 2022: 1-8 [doi]

Contrasting Explanation of Concept DriftFabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer. esann 2022: [doi]

Suitability of Different Metric Choices for Concept Drift DetectionFabian Hinder, Valerie Vaquet, Barbara Hammer. ida 2022: 157-170 [doi]

Feature Selection for Trustworthy Regression Using Higher MomentsFabian Hinder, Johannes Brinkrolf, Barbara Hammer. icann 2022: 76-87 [doi]

Localization of Concept Drift: Identifying the Drifting DatapointsFabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer. ijcnn 2022: 1-9 [doi]

SAM-kNN Regressor for Online Learning in Water Distribution NetworksJonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer. icann 2022: 752-762 [doi]

Reject Options for Incremental Regression ScenariosJonathan Jakob, Martina Hasenjäger, Barbara Hammer. icann 2022: 248-259 [doi]

Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in TransformersPhilip Kenneweg, Alexander Schulz 0001, Sarah Schröder, Barbara Hammer. ideal 2022: 252-261 [doi]

Neural Architecture Search for Sentence Classification with BERTPhilip Kenneweg, Sarah Schröder, Barbara Hammer. esann 2022: [doi]

Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract SettingUlrike Kuhl, André Artelt, Barbara Hammer. fat 2022: 2125-2137 [doi]

Improving Zorro Explanations for Sparse Observations with Dense Proxy DataAndreas Mazur, André Artelt, Barbara Hammer. esann 2022: [doi]

From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transferPatrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert. esann 2022: [doi]

Agnostic Explanation of Model Change based on Feature ImportanceMaximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier. ki, 36(3):211-224, 2022. [doi]

Reservoir Memory Machines as Neural ComputersBenjamin Paaßen, Alexander Schulz 0001, Terrence C. Stewart, Barbara Hammer. tnn, 33(6):2575-2585, 2022. [doi]

Reservoir stack machinesBenjamin Paaßen, Alexander Schulz 0001, Barbara Hammer. ijon, 470:352-364, 2022. [doi]

Impact of different loss functions on denoising of microscopic imagesZafran Hussain Shah, Marcel Müller, Barbara Hammer, Thomas Huser, Wolfram Schenck. ijcnn 2022: 1-10 [doi]

Supervised learning in the presence of concept drift: a modelling frameworkMichiel Straat, Fthi Abadi, Zhuoyun Kan, Christina Göpfert, Barbara Hammer, Michael Biehl. nca, 34(1):101-118, 2022. [doi]

Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution NetworksValerie Vaquet, André Artelt, Johannes Brinkrolf, Barbara Hammer. icann 2022: 682-693 [doi]

Investigating intensity and transversal drift in hyperspectral imaging dataValerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer. ijon, 505:68-79, 2022. [doi]

Explainable Artificial Intelligence for Improved Modeling of ProcessesRiza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer. ideal 2022: 313-325 [doi]

Efficient Sensor Selection for Individualized Prediction Based on BiosignalsMarkus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer. ideal 2022: 326-337 [doi]

Single-step Adversarial Training for Semantic SegmentationDaniel Wiens, Barbara Hammer. icpram 2022: 179-187 [doi]

2021

Efficient computation of contrastive explanationsAndré Artelt, Barbara Hammer. ijcnn 2021: 1-9 [doi]

Contrastive Explanations for Explaining Model AdaptationsAndré Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer. iwann 2021: 101-112 [doi]

Evaluating Robustness of Counterfactual ExplanationsAndré Artelt, Valerie Vaquet, Riza Velioglu, Fabian Hinder, Johannes Brinkrolf, Malte Schilling, Barbara Hammer. ssci 2021: 1-9 [doi]

Federated Learning Vector QuantizationJohannes Brinkrolf, Barbara Hammer. esann 2021: [doi]

Machine Learning for Measuring and Analyzing Online Social CommunicationsChris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer. esann 2021: [doi]

Automating the optical identification of abrasive wear on electrical contact pinsFlorian Buckermann, Nils Klement, Oliver Beyer, Andreas Hütten, Barbara Hammer. at, 69(10):903-914, 2021. [doi]

Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label NoiseAndrea Castellani, Sebastian Schmitt, Barbara Hammer. pkdd 2021: 469-484 [doi]

Task-Sensitive Concept Drift Detector with Constraint EmbeddingAndrea Castellani, Sebastian Schmitt, Barbara Hammer. ssci 2021: 1-8 [doi]

Drift Detection in Text Data with Document EmbeddingsRobert Feldhans, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, Eyke Hüllermeier. ideal 2021: 107-118 [doi]

Voxel-Based Three-Dimensional Neural Style TransferTimo Friedrich, Barbara Hammer, Stefan Menzel. iwann 2021: 334-346 [doi]

Machine Learning in Non-Stationary EnvironmentsBarbara Hammer. ijcci 2021: 11

Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion ForecastingLuca Hermes, Barbara Hammer, Malte Schilling. esann 2021: [doi]

Concept Drift Segmentation via Kolmogorov-TreesFabian Hinder, Barbara Hammer. esann 2021: [doi]

A Shape-Based Method for Concept Drift Detection and Signal DenoisingFabian Hinder, Johannes Brinkrolf, Valerie Vaquet, Barbara Hammer. ssci 2021: 1-8 [doi]

Fast Non-Parametric Conditional Density Estimation using Moment TreesFabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer. ssci 2021: 1-7 [doi]

On the suitability of incremental learning for regression tasks in exoskeleton controlJonathan Jakob, Martina Hasenjäger, Barbara Hammer. ssci 2021: 1-8 [doi]

Efficient Reject Options for Particle Filter Object Tracking in Medical ApplicationsJohannes Kummert, Alexander Schulz 0001, Tim Redick, Nassim Ayoub, Ali Modabber, Dirk Abel, Barbara Hammer. sensors, 21(6):2114, 2021. [doi]

AutoML Technologies for the Identification of Sparse ModelsAleksei Liuliakov, Barbara Hammer. ideal 2021: 65-75 [doi]

Graph Edit NetworksBenjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer. iclr 2021: [doi]

Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement LearningMalte Schilling, Andrew Melnik, Frank W. Ohl, Helge J. Ritter, Barbara Hammer. NN, 144:699-725, 2021. [doi]

Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivationDominik Stallmann, Jan Philip Göpfert, Julian Schmitz, Alexander Grünberger, Barbara Hammer. bioinformatics, 37(20):3632-3639, 2021. [doi]

Investigating Intensity and Transversal Drift in Hyperspectral Imaging DataValerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer. esann 2021: [doi]

Online Learning on Non-Stationary Data Streams for Image Recognition using Deep EmbeddingsValerie Vaquet, Fabian Hinder, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer. ssci 2021: 1-7 [doi]

2020

DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionAlexander Schulz 0001, Fabian Hinder, Barbara Hammer. IJCAI 2020: 2305-2311 [doi]

Efficient computation of counterfactual explanations of LVQ modelsAndré Artelt, Barbara Hammer. esann 2020: 19-24 [doi]

Convex Density Constraints for Computing Plausible Counterfactual ExplanationsAndré Artelt, Barbara Hammer. icann 2020: 353-365 [doi]

Sparse Metric Learning in Prototype-based ClassificationJohannes Brinkrolf, Barbara Hammer. esann 2020: 375-380 [doi]

Time integration and reject options for probabilistic output of pairwise LVQJohannes Brinkrolf, Barbara Hammer. nca, 32(24):18009-18022, 2020. [doi]

Adversarial Attacks Hidden in Plain SightJan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer. ida 2020: 235-247 [doi]

Locally Adaptive Nearest NeighborsJan Philip Göpfert, Heiko Wersing, Barbara Hammer. esann 2020: 667-672 [doi]

Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection ({DAWIDDFabian Hinder, André Artelt, Barbara Hammer. icml 2020: 4249-4259 [doi]

Explaining Concept Drift by Mean of DirectionFabian Hinder, Johannes Kummert, Barbara Hammer. icann 2020: 379-390 [doi]

Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and SegmentationBabak Hosseini, Romain Montagné, Barbara Hammer. dase, 5(2):126-139, 2020. [doi]

Brain-inspired computing and machine learningLazaros S. Iliadis, Vera Kurková, Barbara Hammer. nca, 32(11):6641-6643, 2020. [doi]

Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept DriftViktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet. ijcnn 2020: 1-8 [doi]

Feature relevance determination for ordinal regression in the context of feature redundancies and privileged informationLukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer. ijon, 416:266-279, 2020. [doi]

Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced DataValerie Vaquet, Barbara Hammer. icann 2020: 850-862 [doi]

2019

Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling FrameworkMichael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer. wsom 2020: 210-221 [doi]

Recent trends in streaming data analysis, concept drift and analysis of dynamic data setsAlbert Bifet, Barbara Hammer, Frank-Michael Schleif. esann 2019: [doi]

Differential privacy for learning vector quantizationJohannes Brinkrolf, Christina Göpfert, Barbara Hammer. ijon, 342:125-136, 2019. [doi]

Recovering Localized Adversarial AttacksJan Philip Göpfert, Heiko Wersing, Barbara Hammer. icann 2019: 302-311 [doi]

Adversarial Robustness CurvesChristina Göpfert, Jan Philip Göpfert, Barbara Hammer. pkdd 2020: 172-179 [doi]

Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and SegmentationBabak Hosseini, Romain Montagné, Barbara Hammer. icdm 2019: 1096-1101 [doi]

Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation LearningBabak Hosseini, Barbara Hammer. ijcnn 2019: 1-8 [doi]

Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-seriesBabak Hosseini, Barbara Hammer. esann 2019: [doi]

Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature SelectionBabak Hosseini, Barbara Hammer. CIKM 2019: 1863-1872 [doi]

Interpretable Discriminative Dimensionality Reduction and Feature Selection on the ManifoldBabak Hosseini, Barbara Hammer. pkdd 2020: 310-326 [doi]

On the Identification of Decision Boundaries for Anomaly Detection in CPPSPeng Li, Oliver Niggemann, Barbara Hammer. icit2 2019: 1311-1316 [doi]

Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement UnitsViktor Losing, Taizo Yoshikawa, Martina Hasenjäger, Barbara Hammer, Heiko Wersing. icra 2019: 9530-9536 [doi]

Feature relevance bounds for ordinal regressionLukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer. esann 2019: [doi]

FRI-Feature Relevance Intervals for Interpretable and Interactive Data ExplorationLukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer. cibcb 2019: 1-10 [doi]

2018

Mitigating Concept Drift via RejectionJan Philip Göpfert, Barbara Hammer, Heiko Wersing. icann 2018: 456-467 [doi]

Non-negative Local Sparse Coding for Subspace ClusteringBabak Hosseini, Barbara Hammer. ida 2018: 137-150 [doi]

Tree Edit Distance Learning via Adaptive Symbol EmbeddingsBenjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer. icml 2018: 3973-3982 [doi]

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