Synthetic Aperture PAU: a new instrument to test potential improvements for future SMOSops. - Isaac Ramos-Pérez; Adriano Camps; Xavier Bosch-Lluis; Juan Fernando Marchan-Hernandez; Nereida Rodriguez-Alvarez; Enric Valencia; Fabio Frascella; Paolo Campigotto; Marco Donadio (IGARSS, 2007)

Learning While Optimizing an Unknown Fitness Surface. - Roberto Battiti; Mauro Brunato; Paolo Campigotto (LION, 2007)

Reinforcement Learning and Reactive Search: an adaptive MAX-SAT solver. - Roberto Battiti; Paolo Campigotto (ECAI, 2008)

Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer. - Paolo Campigotto; Andrea Passerini (LION, 2010)

A Reactive Search Optimization approach to interactive decision making. - Paolo Campigotto (2010)

Active Learning of Combinatorial Features for Interactive Optimization. - Paolo Campigotto; Andrea Passerini; Roberto Battiti (LION, 2011)

An Investigation of Reinforcement Learning for Reactive Search Optimization. - Roberto Battiti; Paolo Campigotto (Autonomous Search, 2012)

Active Learning of Pareto Fronts. - Paolo Campigotto; Andrea Passerini; Roberto Battiti (IEEE Trans. Neural Networks Learn. Syst., 2014)

Learning Modulo Theories for preference elicitation in hybrid domains. - Paolo Campigotto; Roberto Battiti; Andrea Passerini (CoRR, 2015)

Personalized and Situation-Aware Multimodal Route Recommendations: The FAVOUR Algorithm. - Paolo Campigotto; Christian Rudloff; Maximilian Leodolter; Dietmar Bauer (IEEE Trans. Intell. Transp. Syst., 2017)

Learning Modulo Theories for constructive preference elicitation. - Paolo Campigotto; Stefano Teso; Roberto Battiti; Andrea Passerini (Artif. Intell., 2021)