Recommendation in Persuasive eHealth Systems: an Effective Strategy to Spot Users' Losing Motivation to Exercise. - Paolo Pilloni; Luca Piras 002; Ludovico Boratto; Salvatore Carta; Gianni Fenu; Fabrizio Mulas (HealthRecSys@RecSys, 2017)

Employing Document Embeddings to Solve the "New Catalog" Problem in User Targeting, and Provide Explanations to the Users. - Ludovico Boratto; Salvatore Carta; Gianni Fenu; Luca Piras 002 (ECIR, 2018)

Recommender System Lets Coaches Identify and Help Athletes Who Begin Losing Motivation. - Paolo Pilloni; Luca Piras 002; Salvatore Carta; Gianni Fenu; Fabrizio Mulas; Ludovico Boratto (Computer, 2018)

Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast. - Salvatore Carta; Sergio Consoli; Luca Piras 002; Alessandro Sebastian Podda; Diego Reforgiato Recupero (LOD (1), 2020)

Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification. - Luca Piras 002; Ludovico Boratto; Guilherme Ramos (CIKM, 2021)

Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting. - Salvatore M. Carta; Sergio Consoli; Luca Piras 002; Alessandro Sebastian Podda; Diego Reforgiato Recupero (IEEE Access, 2021)

Event detection in finance using hierarchical clustering algorithms on news and tweets. - Salvatore Carta; Sergio Consoli; Luca Piras 002; Alessandro Sebastian Podda; Diego Reforgiato Recupero (PeerJ Comput. Sci., 2021)