21 Publikationen
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2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2988509A Remark on Concept Drift for Dependent DataPUB | DOI
Hinder, Fabian, A Remark on Concept Drift for Dependent Data. Advances in Intelligent Data Analysis XXII. 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part I (). Cham, 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572Semantic Properties of Cosine Based Bias Scores for Word EmbeddingsPUB | DOI
Schroeder, Sarah, Semantic Properties of Cosine Based Bias Scores for Word Embeddings. Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1 (). Setúbal, Portugal, 2024 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981289Model-based explanations of concept driftPUB | DOI | Download (ext.) | WoS
Hinder, Fabian, Model-based explanations of concept drift. Neurocomputing (). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982830Feature Selection for Concept Drift DetectionPUB
Hinder, Fabian, Feature Selection for Concept Drift Detection. ESANN 2023 Proceedings (). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982167On the Hardness and Necessity of Supervised Concept Drift DetectionPUB | DOI
Hinder, Fabian, On the Hardness and Necessity of Supervised Concept Drift Detection. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods ICPRAM. Vol. 1 (). Setúbal, 2023 -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2977934On the Change of Decision Boundary and Loss in Learning with Concept DriftPUB | DOI
Hinder, Fabian, On the Change of Decision Boundary and Loss in Learning with Concept Drift. Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings 13876 (). Cham, 2023 -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962746Contrasting Explanations for Understanding and Regularizing Model AdaptationsPUB | PDF | DOI | Download (ext.) | WoS
Artelt, André, Contrasting Explanations for Understanding and Regularizing Model Adaptations. Neural Processing Letters 55 (). , 2022 -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984050Suitability of Different Metric Choices for Concept Drift DetectionPUB | DOI
Hinder, Fabian, Suitability of Different Metric Choices for Concept Drift Detection. Advances in Intelligent Data Analysis XX. 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20–22, 2022, Proceedings (). Cham, 2022 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088Localization of Concept Drift: Identifying the Drifting DatapointsPUB | DOI | Download (ext.)
Hinder, Fabian, Localization of Concept Drift: Identifying the Drifting Datapoints. 2022 International Joint Conference on Neural Networks (IJCNN) (). , 2022 -
2022 | Konferenzbeitrag | Angenommen | PUB-ID: 2964534Federated learning vector quantization for dealing with drift between nodesPUB
Vaquet, Valerie, Federated learning vector quantization for dealing with drift between nodes. (). , 2022 -
2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861Localization of Concept Drift: Identifying the Drifting DatapointsPUB
Hinder, Fabian, Localization of Concept Drift: Identifying the Drifting Datapoints. (). , 2022 -
2021 | Konferenzbeitrag | PUB-ID: 2959428Fast Non-Parametric Conditional Density Estimation using Moment TreesPUB
Hinder, Fabian, Fast Non-Parametric Conditional Density Estimation using Moment Trees. (). Piscataway, NJ, 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960687Online Learning on Non-Stationary Data Streams for Image Recognition using Deep EmbeddingsPUB | DOI
Vaquet, Valerie, Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings. (). , 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960754A Shape-Based Method for Concept Drift Detection and Signal DenoisingPUB | DOI
Hinder, Fabian, A Shape-Based Method for Concept Drift Detection and Signal Denoising. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings (). Piscataway, NJ, 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960755Fast Non-Parametric Conditional Density Estimation using Moment TreesPUB | DOI
Hinder, Fabian, Fast Non-Parametric Conditional Density Estimation using Moment Trees. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings (). Piscataway, NJ, 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957373Contrastive Explanations for Explaining Model AdaptationsPUB | DOI
Artelt, André, Contrastive Explanations for Explaining Model Adaptations. Advances in Computational Intelligence. 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I (). Cham, 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747Evaluating Robustness of Counterfactual ExplanationsPUB | DOI
Artelt, André, Evaluating Robustness of Counterfactual Explanations. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (). Piscataway, NJ, 2021 -
2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2956774Concept Drift Segmentation via Kolmogorov TreesPUB
Hinder, Fabian, Concept Drift Segmentation via Kolmogorov Trees. Proceedings of the ESANN, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). , 2021 -
2020 | Konferenzbeitrag | PUB-ID: 2943260DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality ReductionPUB | DOI | Download (ext.) | arXiv
Schulz, Alexander, DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20} (). , 2020 -
2020 | Konferenzbeitrag | PUB-ID: 2946488Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)PUB | Download (ext.)
Hinder, Fabian, Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). Proceedings of the 37th International Conference on Machine Learning (). , 2020 -
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939517Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged InformationPUB | DOI | Download (ext.) | WoS | arXiv
Pfannschmidt, Lukas, Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information. Neurocomputing (). , 2020