A Discretized Extended Feature Space (DEFS) Model to Improve the Anomaly Detection Performance in Network Intrusion Detection Systems. - Roberto Saia; Salvatore Carta; Diego Reforgiato Recupero; Gianni Fenu; Maria Madalina Stanciu (KDIR, 2019)

A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage. - Salvatore Carta; Diego Reforgiato Recupero; Roberto Saia; Maria Madalina Stanciu (LOD (1), 2020)

Automated Tag Enrichment by Semantically Related Trends. - Antonella Arca; Salvatore Carta; Alessandro Giuliani; Maria Madalina Stanciu; Diego Reforgiato Recupero (WEBIST, 2020)

A Big Data framework based on Apache Spark for Industry-specific Lexicon Generation for Stock Market Prediction. - Simone Angioni; Salvatore Carta; Sergio Consoli; Diego Reforgiato Recupero; Maria Madalina Stanciu (ICFNDS, 2021)

Explainable AI for Financial Forecasting. - Salvatore Carta; Alessandro Sebastian Podda; Diego Reforgiato Recupero; Maria Madalina Stanciu (LOD, 2021)

Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage. - Salvatore M. Carta; Sergio Consoli; Alessandro Sebastian Podda; Diego Reforgiato Recupero; Maria Madalina Stanciu (IEEE Access, 2021)

Statistical arbitrage powered by Explainable Artificial Intelligence. - Salvatore Carta; Sergio Consoli; Alessandro Sebastian Podda; Diego Reforgiato Recupero; Maria Madalina Stanciu (Expert Syst. Appl., 2022)

An eXplainable Artificial Intelligence tool for statistical arbitrage. - Salvatore Carta; Sergio Consoli; Alessandro Sebastian Podda; Diego Reforgiato Recupero; Maria Madalina Stanciu (Softw. Impacts, 2022)