Discovering Candidates for Gene Network Expansion by Distributed Volunteer Computing. - Francesco Asnicar; Luca Erculiani; Francesca Galante; Caterina Gallo; Luca Masera; Paolo Morettin; Nadir Sella; Stanislau Semeniuta; Thomas Tolio; Giulia Malacarne; Kristof Engelen; Andrea Argentini; et al. (TrustCom/BigDataSE/ISPA (3), 2015)

Very Simple Classifier: a Concept Binary Classifier toInvestigate Features Based on Subsampling and Localility. - Luca Masera; Enrico Blanzieri (CoRR, 2016)

AWX: An Integrated Approach to Hierarchical-Multilabel Classification. - Luca Masera; Enrico Blanzieri (ECML/PKDD (1), 2018)

NES2RA. - Francesco Asnicar; Luca Masera; Emanuela Coller; Caterina Gallo; Nadir Sella; Thomas Tolio; Paolo Morettin; Luca Erculiani; Francesca Galante; Stanislau Semeniuta; Giulia Malacarne; Kristof Engelen; et al. (Int. J. High Perform. Comput. Appl., 2018)

Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and locality. - Luca Masera; Enrico Blanzieri (ESANN, 2019)

OneGenE: Regulatory Gene Network Expansion via Distributed Volunteer Computing on BOINC. - Francesco Asnicar; Luca Masera; Davide Pistore; Samuel Valentini; Valter Cavecchia; Enrico Blanzieri (PDP, 2019)

Combining learning and constraints for genome-wide protein annotation. - Stefano Teso; Luca Masera; Michelangelo Diligenti; Andrea Passerini (BMC Bioinform., 2019)

Multi-target Prediction Methods for Bioinformatics: Approaches for Protein Function Prediction and Candidate Discovery for Gene Regulatory Network Expansion. - Luca Masera (2019)

A Computing System for Discovering Causal Relationships Among Human Genes to Improve Drug Repositioning. - Enrico Blanzieri; Toma Tebaldi; Valter Cavecchia; Francesco Asnicar; Luca Masera; Gabriele Tomé; Eleonora Nigro; Enrica Colasurdo; Matteo Ciciani; Chiara Mazzoni; Stefania Pilati (IEEE Trans. Emerg. Top. Comput., 2021)