Collection
Special Issue of the ECML PKDD 2021 Journal Track
Guest Editors: Annalisa Appice, Sergio Escalera, Jose A. Gamez, Heike Trautmann
Editors
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Annalisa Appice
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Sergio Escalera
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Jose A. Gamez
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Heike Trautmann
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Articles (23 in this collection)
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Introduction to the special issue of the ECML PKDD 2021 journal track
Authors (first, second and last of 4)
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Convex optimization with an interpolation-based projection and its application to deep learning
Authors
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AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow
Authors (first, second and last of 5)
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Joint optimization of an autoencoder for clustering and embedding
Authors (first, second and last of 4)
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MODES: model-based optimization on distributed embedded systems
Authors (first, second and last of 7)
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Toward optimal probabilistic active learning using a Bayesian approach
Authors (first, second and last of 6)
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Reachable sets of classifiers and regression models: (non-)robustness analysis and robust training
Authors
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Protect privacy of deep classification networks by exploiting their generative power
Authors (first, second and last of 4)
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