Special Issue of the ECML PKDD 2021 Journal Track
ISSN:
0885-6125 (Print)
1573-0565 (Online)
In this topical collection (23 articles)
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OriginalPaper
SPEED: secure, PrivatE, and efficient deep learning
Arnaud Grivet Sébert, Rafaël Pinot, Martin Zuber, Cédric Gouy-Pailler… Pages 675-694 -
OriginalPaper
Bayesian optimization with approximate set kernels
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi Pages 857-879 -
OriginalPaper
Toward optimal probabilistic active learning using a Bayesian approach
Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic… Pages 1199-1231 -
OriginalPaper
Multiple clusterings of heterogeneous information networks
Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi… Pages 1505-1526 -
OriginalPaper
MODES: model-based optimization on distributed embedded systems
Junjie Shi, Jiang Bian, Jakob Richter, Kuan-Hsun Chen… Pages 1527-1547 -
OriginalPaper
On testing transitivity in online preference learning
Björn Haddenhorst, Viktor Bengs, Eyke Hüllermeier Pages 2063-2084 -
OriginalPaper
Variational learning from implicit bandit feedback
Quoc-Tuan Truong, Hady W. Lauw Pages 2085-2105 -
OriginalPaper
Policy space identification in configurable environments
Alberto Maria Metelli, Guglielmo Manneschi, Marcello Restelli Pages 2093-2145 -
OriginalPaper
Testing conditional independence in supervised learning algorithms
David S. Watson, Marvin N. Wright Pages 2107-2129 -
S.I. : ECML PKDD 2021
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow
Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou Pages 2131-2150 -
OriginalPaper
Sampled Gromov Wasserstein
Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban Pages 2151-2186 -
OriginalPaper
Density-based weighting for imbalanced regression
Michael Steininger, Konstantin Kobs, Padraig Davidson, Anna Krause… Pages 2187-2211 -
OriginalPaper
Robustness verification of ReLU networks via quadratic programming
Aleksei Kuvshinov, Stephan Günnemann Pages 2407-2433
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