1. Editorial for ADAC issue 4 of volume 15 (2021)

   • Maurizio Vichi
   • Andrea Cerioli
   • Claus Weihs

   Editorial 29 September 2021 Pages: 825 - 828

2. PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning

   • Alexandre L. M. Levada

   Regular Article 07 January 2021 Pages: 829 - 868

   

3. Robust regression with compositional covariates including cellwise outliers

   • Nikola Štefelová
   • Andreas Alfons
   • Karel Hron

   Regular Article Open access 24 February 2021 Pages: 869 - 909

   

4. Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification

   • Roberto Medico
   • Joeri Ruyssinck
   • Tom Dhaene

   Regular Article 04 March 2021 Pages: 911 - 936

   

5. Nonlinear dimension reduction for conditional quantiles

   • Eliana Christou
   • Annabel Settle
   • Andreas Artemiou

   Regular Article 23 March 2021 Pages: 937 - 956

   

6. Hierarchical clustering with discrete latent variable models and the integrated classification likelihood

   • Etienne Côme
   • Nicolas Jouvin
   • Charles Bouveyron

   Regular Article 13 April 2021 Pages: 957 - 986

   

7. REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction

   • Zaheer Ahmed
   • Alberto Cassese
   • Jan Schepers

   Regular Article Open access 27 April 2021 Pages: 987 - 1013

   

8. Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings

   • Antonella Plaia
   • Simona Buscemi
   • Mariangela Sciandra

   Regular Article Open access 28 May 2021 Pages: 1015 - 1037

   

9. Estimating the class prior for positive and unlabelled data via logistic regression

   • Małgorzata Łazęcka
   • Jan Mielniczuk
   • Paweł Teisseyre

   Regular Article Open access 03 June 2021 Pages: 1039 - 1068

   

10. A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization

    • Andri Mirzal

    Regular Article 08 October 2021 Pages: 1069 - 1102