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Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning.

, , , , and . IJCNN, page 1-8. IEEE, (2020)

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Optimised probabilistic active learning (OPAL) For Fast, Non-Myopic, Cost-Sensitive Active Classification, , and . Machine Learning, 100 (2): 449--476 (2015)scikit-activeml: A Library and Toolbox for Active Learning Algorithms, , , , , , , and . Preprints, (2021)Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning., , , , and . IJCNN, page 1-8. IEEE, (2020)Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks., , , and . ICPR, page 9172-9179. IEEE, (2020)Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency., , and . Discovery Science, volume 8777 of Lecture Notes in Computer Science, page 168-179. Springer, (2014)Inferring Delayed Neural Network Connections, , , , , , and . (2016)poster and presentation.Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary, , , , and . arXiv e-prints, (2020)Data-Driven Spine Detection for Multi-Sequence MRI, , and . Workshop über Bildverarbeitung für die Medizin (BVM), page 5-10. Springer, (2015)Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning, , , , , and . arXiv e-prints, (2022)Ein holistischer Ansatz für Pool-basiertes Aktives Lernen.. Ausgezeichnete Informatikdissertationen, volume D-22 of LNI, GI, (2021)