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ACE: A Novel Approach for the Statistical Analysis of Pairwise Connectivity.

, , и . CoRR, (2021)

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M.Sc. Daniel Kottke

Wilfried Kottke

Sybille Kottke

Daniela Kottke

Ines Kottke

 

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