- David Conde, Miguel Alejandro Fernández, Cristina Rueda, Bonifacio Salvador. Isotonic boosting classification rules. Adv. Data Analysis and Classification, 15(2):289-313, 2021.
- Matthijs J. Warrens. Kappa coefficients for dichotomous-nominal classifications. Adv. Data Analysis and Classification, 15(1):193-208, 2021.
- Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs. Editorial for ADAC issue 1 of volume 15 (2021). Adv. Data Analysis and Classification, 15(1):1-4, 2021.
- André Müller, Ludwig Lausser, Adalbert F. X. Wilhelm, Timo Ropinski, Matthias Platzer, Heiko Neumann, Hans A. Kestler. A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data. Adv. Data Analysis and Classification, 15(2):463-480, 2021.
- Tyler Roick, Dimitris Karlis, Paul D. McNicholas. Clustering discrete-valued time series. Adv. Data Analysis and Classification, 15(1):209-229, 2021.
- Tingting Huang, Gilbert Saporta, Huiwen Wang, Shanshan Wang 0005. A robust spatial autoregressive scalar-on-function regression with t-distribution. Adv. Data Analysis and Classification, 15(1):57-81, 2021.
- Léna Carel, Pierre Alquier. Simultaneous dimension reduction and clustering via the NMF-EM algorithm. Adv. Data Analysis and Classification, 15(1):231-260, 2021.
- Guillermo Vinué, Irene Epifanio. Robust archetypoids for anomaly detection in big functional data. Adv. Data Analysis and Classification, 15(2):437-462, 2021.
- Lazhar Labiod, Mohamed Nadif. Efficient regularized spectral data embedding. Adv. Data Analysis and Classification, 15(1):99-119, 2021.
- Huimin Pei, Qiang Lin, Liran Yang, Ping Zhong. A novel semi-supervised support vector machine with asymmetric squared loss. Adv. Data Analysis and Classification, 15(1):159-191, 2021.