Learning from Observation in Noisy Environments via Integration of EBL and SBL Techniques. - Luigi Di Pace; Filippo Fabrocini (ECAI, 1990)

Shift of Bias in Learning from Drug Compounds: The Fleming Project. - Luigi Di Pace; Filippo Fabrocini; Giorgio Bolis (EWSL, 1991)

A machine learning tool for computer aided molecular design. - Giorgio Bolis; Luigi Di Pace; Filippo Fabrocini (ICTAI, 1991)

A machine learning approach to computer-aided molecular design. - Giorgio Bolis; Luigi Di Pace; Filippo Fabrocini (J. Comput. Aided Mol. Des., 1991)

Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation. - Antonino Marciano; Deen Chen 001; Filippo Fabrocini; Chris Fields 001; Matteo Lulli; Emanuele Zappala (CoRR, 2022)

Quantum Neural Networks and Topological Quantum Field Theories. - Antonino Marciano; Deen Chen 001; Filippo Fabrocini; Chris Fields 001; Enrico Greco; Niels Gresnigt; Krid Jinklub; Matteo Lulli; Kostas Terzidis; Emanuele Zappala (Neural Networks, 2022)

Control Flow in Active Inference Systems - Part I: Classical and Quantum Formulations of Active Inference. - Chris Fields 001; Filippo Fabrocini; Karl J. Friston; James F. Glazebrook; Hananel Hazan; Michael Levin 001; Antonino Marciano (IEEE Trans. Mol. Biol. Multi Scale Commun., 2023)

Control Flow in Active Inference Systems - Part II: Tensor Networks as General Models of Control Flow. - Chris Fields 001; Filippo Fabrocini; Karl J. Friston; James F. Glazebrook; Hananel Hazan; Michael Levin 001; Antonino Marciano (IEEE Trans. Mol. Biol. Multi Scale Commun., 2023)

Unintentional intentionality: art and design in the age of artificial intelligence. - Kostas Terzidis; Filippo Fabrocini; Hyejin Lee (AI Soc., 2023)

Finally, the death of the author! A 'detournement' strategy for decolonizing the artistic venue. - Filippo Fabrocini; Kostas Terzidis; De'en Chen 001 (AI Soc., 2025)