To stop learning using the evidence. - Domenico Perrotta (ESANN, 1998)

Fitting Mixtures of Regression Lines with the Forward Search. - Marco Riani; Andrea Cerioli; Anthony C. Atkinson; Domenico Perrotta; Francesca Torti (NATO ASI Mining Massive Data Sets for Security, 2007)

New robust dynamic plots for regression mixture detection. - Domenico Perrotta; Marco Riani; Francesca Torti (Adv. Data Anal. Classif., 2009)

Robustness Issues in Text Mining. - Marco Turchi; Domenico Perrotta; Marco Riani; Andrea Cerioli (SMPS, 2012)

Benchmark testing of algorithms for very robust regression: FS, LMS and LTS. - Francesca Torti; Domenico Perrotta; Anthony C. Atkinson; Marco Riani (Comput. Stat. Data Anal., 2012)

Issues on Clustering and Data Gridding. - Jukka Heikkonen; Domenico Perrotta; Marco Riani; Francesca Torti (Classification and Data Mining, 2013)

Robust clustering around regression lines with high density regions. - Andrea Cerioli; Domenico Perrotta (Adv. Data Anal. Classif., 2014)

Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library. - Marco Riani; Andrea Cerioli; Domenico Perrotta; Francesca Torti (Adv. Data Anal. Classif., 2015)

Modeling international trade data with the Tweedie distribution for anti-fraud and policy support. - Lucio Barabesi; Andrea Cerasa; Domenico Perrotta; Andrea Cerioli (Eur. J. Oper. Res., 2016)

A local search approach for generating directional data. - Sergio Consoli; Marco Turchi; Domenico Perrotta (Intell. Data Anal., 2016)

Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". - Domenico Perrotta; Francesca Torti (Stat. Methods Appl., 2018)

Assessing trimming methodologies for clustering linear regression data. - Francesca Torti; Domenico Perrotta; Marco Riani; Andrea Cerioli (Adv. Data Anal. Classif., 2019)

Robust Regression with Density Power Divergence: Theory, Comparisons, and Data Analysis. - Marco Riani; Anthony C. Atkinson; Aldo Corbellini; Domenico Perrotta (Entropy, 2020)

Reduced Variable Neighbourhood Search for the Generation of Controlled Circular Data. - Sergio Consoli; Domenico Perrotta; Marco Turchi (ICVNS, 2021)

Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection. - Liesbeth Allein; Marie-Francine Moens; Domenico Perrotta (CoRR, 2021)

Preventing profiling for ethical fake news detection. - Liesbeth Allein; Marie-Francine Moens; Domenico Perrotta (Inf. Process. Manag., 2023)

Fast and robust clustering of general-shaped structures with tk-merge. - Luca Insolia; Domenico Perrotta (Int. J. Approx. Reason., 2024)

On Simulating Skewed and Cluster-Weighted Data for Studying Performance of Clustering Algorithms. - Volodymyr Melnykov; Yang Wang; Yana Melnykov; Francesca Torti; Domenico Perrotta; Marco Riani (J. Comput. Graph. Stat., 2024)

Co-clustering contaminated data: a robust model-based approach. - Edoardo Fibbi; Domenico Perrotta; Francesca Torti; Stefan Van Aelst; Tim Verdonck (Adv. Data Anal. Classif., 2024)