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A Stopping Criterion for Transductive Active Learning.

, , , and . ECML/PKDD (4), volume 13716 of Lecture Notes in Computer Science, page 468-484. Springer, (2022)

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Inferring Delayed Neural Network Connections, , , , , , and . (2016)poster and presentation.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)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)Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks., , , and . ICPR, page 9172-9179. IEEE, (2020)Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning., , , , and . IJCNN, page 1-8. IEEE, (2020)Active Label Refinement for Semantic Segmentation of Satellite Images., , , , , , , and . CoRR, (2023)Probabilistic Active Learning with Structure-Sensitive Kernels., , and . IAL@PKDD/ECML, volume 1924 of CEUR Workshop Proceedings, page 37-48. CEUR-WS.org, (2017)A holistic, decision-theoretic framework for pool-based active learning.. University of Kassel, Germany, (2021)Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality., , , , and . IJCNN, page 1-8. IEEE, (2019)