Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment. - Luca Carminati; Giacomo Lodigiani; Pietro Maldini; Samuele Meta; Stiven Metaj; Arcangelo Pisa; Alessandro Sanvito; Mattia Surricchio; Fernando Benjamín Pérez Maurera; Cesare Bernardis; Maurizio Ferrari Dacrema (RecSys Challenge, 2021)

A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving. - Luca Carminati; Federico Cacciamani; Marco Ciccone; Nicola Gatti 001 (ICML, 2022)

Subgame Solving in Adversarial Team Games. - Brian Hu Zhang; Luca Carminati; Federico Cacciamani; Gabriele Farina; Pierriccardo Olivieri; Nicola Gatti 001; Tuomas Sandholm (NeurIPS, 2022)

Public Information Representation for Adversarial Team Games. - Luca Carminati; Federico Cacciamani; Marco Ciccone; Nicola Gatti 001 (CoRR, 2022)

Skills, Technical and Organizational Support Needed for Collaborative Networks 5.0. - Luca Carminati; Fabiana Pirola; Alexandra Lagorio; Chiara Cimini; Arkadiusz Jurczuk; Xavier Boucher (PRO-VE (1), 2024)

AI Education for Tomorrow's Workforce: Leveraging Learning Factories for AI Education and Workforce Preparedness. - Mohammad Hossein Dehbozorgi; Monica Rossi; Sergio Terzi; Luca Carminati; Roberto Sala; Francesco Magni; Fabiana Pirola; Rossella Pozzi; Fernanda Strozzi; Tommaso Rossi (RTSI, 2024)

Hidden-Role Games: Equilibrium Concepts and Computation. - Luca Carminati; Brian Hu Zhang; Gabriele Farina; Nicola Gatti 001; Tuomas Sandholm (EC, 2024)

Monte-Carlo Regret Minimization for Adversarial Team Games. - Luca Carminati; Federico Cacciamani (Intelligenza Artificiale, 2024)