Leveraging Cognitive Computing for Gender and Emotion Detection. - Andrea Corriga; Simone Cusimano; Francesca Maridina Malloci; Lodovica Marchesi; Diego Reforgiato Recupero (EMSASW@ESWC, 2018)

A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification. - Salvatore Carta; Andrea Corriga; Riccardo Mulas; Diego Reforgiato Recupero; Roberto Saia (KDIR, 2019)

A Holistic Auto-Configurable Ensemble Machine Learning Strategy for Financial Trading. - Salvatore Carta; Andrea Corriga; Anselmo Ferreira; Diego Reforgiato Recupero; Roberto Saia (Comput., 2019)

HawkEye: a Visual Framework for Agile Cross-Validation of Deep Learning Approaches in Financial Forecasting. - Salvatore Carta; Sergio Consoli; Andrea Corriga; Raffaele Dapiaggi; Alessandro Sebastian Podda; Diego Reforgiato Recupero (ICFNDS, 2020)

Deep learning and time series-to-image encoding for financial forecasting. - Silvio Barra; Salvatore M. Carta; Andrea Corriga; Alessandro Sebastian Podda; Diego Reforgiato Recupero (IEEE CAA J. Autom. Sinica, 2020)

A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning. - Salvatore Carta; Andrea Corriga; Anselmo Ferreira; Alessandro Sebastian Podda; Diego Reforgiato Recupero (Appl. Intell., 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)