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To Actively Initialize Active Learning
Academic Journal
Yang, Yazhou
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Loog, Marco
In
Pattern Recognition
November 2022 131
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Enhancing Classifier Conservativeness and Robustness by Polynomiality
Conference
Wang, Ziqi
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Loog, Marco
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) CVPR Computer Vision and Pattern Recognition (CVPR), 2022 IEEE/CVF Conference on. :13317-13326 Jun, 2022
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Single shot active learning using pseudo annotators
Academic Journal
Yang, Yazhou
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Loog, Marco
In
Pattern Recognition
May 2019 89:22-31
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A benchmark and comparison of active learning for logistic regression
Academic Journal
Yang, Yazhou
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Loog, Marco
In
Pattern Recognition
November 2018 83:401-415
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A variance maximization criterion for active learning
Academic Journal
Yang, Yazhou
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Loog, Marco
In
Pattern Recognition
June 2018 78:358-370
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A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance
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Loog, Marco
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Viering, Tom
Open Access (Arxiv)
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A view on model misspecification in uncertainty quantification
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Kato, Yuko
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Tax, David M. J.
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Loog, Marco
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Robust semi-supervised least squares classification by implicit constraints
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Krijthe, Jesse H.
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Loog, Marco
In
Pattern Recognition
March 2017 63:115-126
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An Analysis of Model-Based Reinforcement Learning From Abstracted Observations
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Starre, Rolf A. N.
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Loog, Marco
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Congeduti, Elena
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Oliehoek, Frans A.
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On the reusability of samples in active learning
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van Tulder, Gijs
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