8 Publikationen
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2024 | Bielefelder E-Dissertation | PUB-ID: 2990589
Incremental Learning in Regression ContextsPUB | PDF
Jakob, Jonathan, Incremental Learning in Regression Contexts. (). Bielefeld, 2024 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979026Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data StreamsPUB | DOI | WoS
Jakob, Jonathan, Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams. Applied Artificial Intelligence 37 (1). , 2023 -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982135Reject Options for Incremental Regression ScenariosPUB | DOI
Jakob, Jonathan, Reject Options for Incremental Regression Scenarios. Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV (). Cham, 2022 -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2969459SAM-kNN Regressor for Online Learning in Water Distribution NetworksPUB | DOI
Jakob, Jonathan, SAM-kNN Regressor for Online Learning in Water Distribution Networks. Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part III 13531 (). Cham, 2022 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982136On the suitability of incremental learning for regression tasks in exoskeleton controlPUB | DOI
Jakob, Jonathan, On the suitability of incremental learning for regression tasks in exoskeleton control. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (). , 2021 -
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 -
2019 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2935044
Continuous online user authentication based on keystroke dynamicsPUB | Dateien verfügbar
Artelt, André, Continuous online user authentication based on keystroke dynamics. (). , 2019 -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933893Feature Relevance Bounds for Ordinal RegressionPUB | Download (ext.) | arXiv
Pfannschmidt, Lukas, Feature Relevance Bounds for Ordinal Regression. Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019) (). Louvain-la-Neuve, 2019