A fast splitting procedure for classification trees. - Francesco Mola; Roberta Siciliano (Stat. Comput., 1997)

An Alternative Pruning Method Based on the Impurity-Complexity Measure. - Carmela Cappelli; Francesco Mola; Roberta Siciliano (COMPSTAT, 1998)

Minimization of Computational Cost in Tree-Based Methods by a Proper Ordering of Splits. - Jan Klaschka; Francesco Mola (COMPSTAT, 1998)

Supervised Classifier Combination through Generalized Additive Multi-model. - Claudio Conversano; Roberta Siciliano; Francesco Mola (Multiple Classifier Systems, 2000)

Partitioning Algorithms and Combined Model Integration for Data Mining. - Claudio Conversano; Francesco Mola; Roberta Siciliano (Comput. Stat., 2001)

Growing and Visualizing Prediction Paths Trees in Market Basket Analysis. - Massimo Aria; Francesco Mola; Roberta Siciliano (COMPSTAT, 2002)

Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining. - Francesco Mola; Roberta Siciliano (Multiple Classifier Systems, 2002)

Assessing the Reliability of a Multi-Class Classifier. - Luca Frigau; Claudio Conversano; Francesco Mola (ECDA, 2014)

Investigating the Relationship Between Tweeting Style and Popularity: The Case of US Presidential Election 2016. - Farideh Tavazoee; Claudio Conversano; Francesco Mola (KESW, 2017)

Random effects clustering in multilevel modeling: choosing a proper partition. - Claudio Conversano; Massimo Cannas; Francesco Mola; Emiliano Sironi (Adv. Data Anal. Classif., 2019)

Recurrent random forest for the assessment of popularity in social media. - Farideh Tavazoee; Claudio Conversano; Francesco Mola (Knowl. Inf. Syst., 2020)

Impact of the COVID-19 outbreak on Italy's country reputation and stock market performance: a sentiment analysis approach. - Gianpaolo Zammarchi; Francesco Mola; Claudio Conversano (CoRR, 2021)

Markov chain to analyze web usability of a university website using eye tracking data. - Gianpaolo Zammarchi; Luca Frigau; Francesco Mola (Stat. Anal. Data Min., 2021)

LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models. - Salvatore M. Carta; Stefano Chessa; Giulia Contu; Andrea Corriga; Andrea Deidda; Gianni Fenu; Luca Frigau; Alessandro Giuliani; Luca Grassi; Marco Manolo Manca; Mirko Marras; Francesco Mola; et al. (CoRR, 2024)

Threshold-based Naïve Bayes classifier. - Maurizio Romano; Giulia Contu; Francesco Mola; Claudio Conversano (Adv. Data Anal. Classif., 2024)

The game beyond the field: on football players' performance through social media, sentiment and topic analysis. - Marco Ortu; Francesco Mola (Comput. Stat., 2025)