Extensive assessment of metrics on RNA secondary structures and relative ensembles. - Marco Barsacchi; Andrea Baù; Alessio Bechini (SAC, 2016)

SwiSpot: modeling riboswitches by spotting out switching sequences. - Marco Barsacchi; Eva Maria Novoa; Manolis Kellis; Alessio Bechini (Bioinform., 2016)

Multi-class boosting with fuzzy decision trees. - Marco Barsacchi; Alessio Bechini; Francesco Marcelloni (FUZZ-IEEE, 2017)

Assessing Accuracy of Ensemble Learning for Facial Expression Recognition with CNNs. - Alessandro Renda; Marco Barsacchi; Alessio Bechini; Francesco Marcelloni (LOD, 2018)

Interpretable CNV-based tumour classification using fuzzy rule based classifiers. - Mattia Ricatto; Marco Barsacchi; Alessio Bechini (SAC, 2018)

Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach. - Marco Barsacchi; Alessio Bechini; Pietro Ducange; Francesco Marcelloni (Cogn. Comput., 2019)

Comparing ensemble strategies for deep learning: An application to facial expression recognition. - Alessandro Renda; Marco Barsacchi; Alessio Bechini; Francesco Marcelloni (Expert Syst. Appl., 2019)

An analysis of boosted ensembles of binary fuzzy decision trees. - Marco Barsacchi; Alessio Bechini; Francesco Marcelloni (Expert Syst. Appl., 2020)

Implicitly distributed fuzzy random forests. - Marco Barsacchi; Alessio Bechini; Francesco Marcelloni (SAC, 2021)