Special Issue of the Journal Track of ECML PKDD 2021
ISSN:
1384-5810 (Print)
1573-756X (Online)
In this topical collection (22 articles)
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OriginalPaper
Learning tractable probabilistic models for moral responsibility and blame
Pages 621-659 -
OriginalPaper
Detecting virtual concept drift of regressors without ground truth values
Pages 726-747 -
OriginalPaper
ForestDSH: a universal hash design for discrete probability distributions
Pages 748-795 -
OriginalPaper
Counterfactual inference with latent variable and its application in mental health care
Pages 811-840 -
OriginalPaper
FuseRec: fusing user and item homophily modeling with temporal recommender systems
Pages 837-862 -
OriginalPaper
Dataset2Vec: learning dataset meta-features
Pages 964-985 -
OriginalPaper
What’s in a name? – gender classification of names with character based machine learning models
Pages 1537-1563 -
OriginalPaper
CrashNet: an encoder–decoder architecture to predict crash test outcomes
Pages 1688-1709 -
OriginalPaper
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series
Pages 1882-1905 -
OriginalPaper
Differentially Private Distance Learning in Categorical Data
Pages 2050-2088 -
OriginalPaper
K-plex cover pooling for graph neural networks
Pages 2200-2220 -
Guest Editorial
Introduction to the special issue of the ECML PKDD 2021 journal track
Pages 2540-2541 -
OriginalPaper
Early abandoning and pruning for elastic distances including dynamic time warping
Pages 2577-2601 -
OriginalPaper
MultiETSC: automated machine learning for early time series classification
Pages 2602-2654
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