25 Publikationen
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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 | Bielefelder E-Dissertation | PUB-ID: 2985339Learning Vector Quantization for the Real-World: Privacy, Robustness, and SparsityPUB | PDF | DOI
Brinkrolf, Johannes, Learning Vector Quantization for the Real-World: Privacy, Robustness, and Sparsity. (). Bielefeld, 2023 -
2023 | Konferenzbeitrag | Angenommen | PUB-ID: 2982899Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor ShiftsPUB | PDF
Vaquet, Valerie, Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts. (). , 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 | 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 | Veröffentlicht | PUB-ID: 2969460Explaining Reject Options of Learning Vector Quantization ClassifiersPUB | DOI
Artelt, André, Explaining Reject Options of Learning Vector Quantization Classifiers. Proceedings of the 14th International Joint Conference on Computational Intelligence (). , 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 -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962650Taking care of our drinking water: Dealing with Sensor Faults in Water Distribution NetworksPUB | PDF
Vaquet, Valerie, Taking care of our drinking water: Dealing with Sensor Faults in Water Distribution Networks. (). , 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: 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: 2955948Federated Learning Vector QuantizationPUB
Brinkrolf, Johannes, Federated Learning Vector Quantization. Proceedings of the ESANN, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). , 2021 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2940666Sparse Metric Learning in Prototype-based ClassificationPUB
Brinkrolf, Johannes, Sparse Metric Learning in Prototype-based Classification. Proceedings of the ESANN, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (). , 2020 -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2933715Differential privacy for learning vector quantizationPUB | PDF | DOI | WoS
Brinkrolf, Johannes, Differential privacy for learning vector quantization. Neurocomputing 342 (). , 2019 -
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932914Time integration and reject options for probabilistic output of pairwise LVQPUB | DOI | WoS
Brinkrolf, Johannes, Time integration and reject options for probabilistic output of pairwise LVQ. Neural Computing and Applications (). , 2019 -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918254Differential private relevance learningPUB | Download (ext.)
Brinkrolf, Johannes, Differential private relevance learning. Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018) (). , 2018 -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918244Interpretable Machine Learning with Reject OptionPUB | DOI | WoS
Brinkrolf, Johannes, Interpretable Machine Learning with Reject Option. at - Automatisierungstechnik 66 (4). , 2018 -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914945Probabilistic extension and reject options for pairwise LVQPUB | DOI
Brinkrolf, Johannes, Probabilistic extension and reject options for pairwise LVQ. 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM) (). Piscataway, NJ, 2017 -
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372Efficient Kernelization of Discriminative Dimensionality ReductionPUB | PDF | DOI | WoS
Schulz, Alexander, Efficient Kernelization of Discriminative Dimensionality Reduction. Neurocomputing 268 (SI). , 2017 -
2017 | Konferenzbeitrag | PUB-ID: 2914950Differential Privacy for Learning Vector QuantizationPUB
Brinkrolf, Johannes, Differential Privacy for Learning Vector Quantization. New Challenges in Neural Computation (). , 2017 -
2016 | Konferenzbeitrag | PUB-ID: 2909365Virtual optimisation for improved production planningPUB
Brinkrolf, Johannes, Virtual optimisation for improved production planning. New Challenges in Neural Computation (). , 2016