1. XEM: An explainable-by-design ensemble method for multivariate time series classification

   • Kevin Fauvel
   • Élisa Fromont
   • Alexandre Termier

   OriginalPaper 11 February 2022 Pages: 917 - 957

   

2. Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning

   • Hankui Peng
   • Nicos G. Pavlidis

   OriginalPaper Open access 11 February 2022 Pages: 958 - 986

   

3. Who can receive the pass? A computational model for quantifying availability in soccer

   • Uwe Dick
   • Daniel Link
   • Ulf Brefeld

   OriginalPaper Open access 22 March 2022 Pages: 987 - 1014

   

4. PETSC: pattern-based embedding for time series classification

   • Len Feremans
   • Boris Cule
   • Bart Goethals

   OriginalPaper 24 March 2022 Pages: 1015 - 1061

   

5. Novel features for time series analysis: a complex networks approach

   • Vanessa Freitas Silva
   • Maria Eduarda Silva
   • Fernando Silva

   OriginalPaper Open access 31 March 2022 Pages: 1062 - 1101

   

6. Using p-values for the comparison of classifiers: pitfalls and alternatives

   • Daniel Berrar

   OriginalPaper 11 April 2022 Pages: 1102 - 1139

   

7. Interpretability, personalization and reliability of a machine learning based clinical decision support system

   • F. Valente
   • S. Paredes
   • J. Morais

   OriginalPaper 13 April 2022 Pages: 1140 - 1173

   

8. Sufficient dimension reduction for average causal effect estimation

   • Debo Cheng
   • Jiuyong Li
   • Kui Yu

   OriginalPaper Open access 20 April 2022 Pages: 1174 - 1196

   

9. Ranking with submodular functions on a budget

   • Guangyi Zhang
   • Nikolaj Tatti
   • Aristides Gionis

   OriginalPaper Open access 23 April 2022 Pages: 1197 - 1218

   

10. The area under the ROC curve as a measure of clustering quality

    • Pablo A. Jaskowiak
    • Ivan G. Costa
    • Ricardo J. G. B. Campello

    OriginalPaper 26 April 2022 Pages: 1219 - 1245