Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock Trading. - Jacopo Fior; Luca Cagliero (ICDM (Workshops), 2020)

Price series cross-correlation analysis to enhance the diversification of itemset-based stock portfolios. - Jacopo Fior; Luca Cagliero; Paolo Garza (DSMM@SIGMOD, 2020)

Estimating the incidence of adverse weather effects on road traffic safety using time series embeddings. - Jacopo Fior; Luca Cagliero (COMPSAC, 2021)

Generating Comparative Explanations of Financial Time Series. - Jacopo Fior; Luca Cagliero; Tommaso Calò (ADBIS, 2022)

Legal Entity Disambiguation for Financial Crime Detection. - Jacopo Fior; Thomas Favale; Luca Cagliero; Danilo Giordano; Marco Mellia; Elena Baralis; Silvia Ronchiadin; Paolo Baracco; Dario Moncalvo (IEEE Big Data, 2022)

Correlating Extreme Weather Conditions With Road Traffic Safety: A Unified Latent Space Model. - Jacopo Fior; Luca Cagliero (IEEE Access, 2022)

Leveraging Explainable AI to Support Cryptocurrency Investors. - Jacopo Fior; Luca Cagliero; Paolo Garza (Future Internet, 2022)

Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition. - Luca Cagliero; Jacopo Fior; Paolo Garza (Expert Syst. Appl., 2023)

Early portfolio pruning: a scalable approach to hybrid portfolio selection. - Daniele Giovanni Gioia; Jacopo Fior; Luca Cagliero (Knowl. Inf. Syst., 2023)

ChatGPT, be my Teaching Assistant! Automatic Correction of SQL Exercises. - Luca Cagliero; Laura Farinetti; Jacopo Fior; Andrea Ignazio Manenti (COMPSAC, 2024)