1. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning

   • Adriano Rivolli
   • Jesse Read
   • André C. P. L. F. de Carvalho

   OriginalPaper 10 June 2020 Pages: 1509 - 1563

   

2. Correction to: Efficient feature selection using shrinkage estimators

   • Konstantinos Sechidis
   • Laura Azzimonti
   • Gavin Brown

   Correction 04 June 2020 Pages: 1565 - 1567

   

3. Double random forest

   • Sunwoo Han
   • Hyunjoong Kim
   • Yung-Seop Lee

   OriginalPaper 02 July 2020 Pages: 1569 - 1586

   

4. Classification with costly features as a sequential decision-making problem

   • Jaromír Janisch
   • Tomáš Pevný
   • Viliam Lisý

   OriginalPaper 28 February 2020 Pages: 1587 - 1615

   

5. Anomaly detection with inexact labels

   • Tomoharu Iwata
   • Machiko Toyoda
   • Naonori Ueda

   OriginalPaper 31 May 2020 Pages: 1617 - 1633

   

6. Robust classification via MOM minimization

   • Guillaume Lecué
   • Matthieu Lerasle
   • Timlothée Mathieu

   OriginalPaper 27 April 2020 Pages: 1635 - 1665

   

7. Correction to: Robust classification via MOM minimization

   • Guillaume Lecué
   • Matthieu Lerasle
   • Timothée Mathieu

   Correction 03 June 2020 Pages: 1667 - 1667

8. Discovering subjectively interesting multigraph patterns

   • Sarang Kapoor
   • Dhish Kumar Saxena
   • Matthijs van Leeuwen

   OriginalPaper 16 March 2020 Pages: 1669 - 1696