A Model Based Ant Colony Design for the Protein Engineering Problem. - Matteo Borrotti; Davide De Lucrezia; Giovanni Minervini; Irene Poli (ANTS Conference, 2010)

Naïve Bayes Ant Colony Optimization for Experimental Design. - Matteo Borrotti; Irene Poli (SMPS, 2012)

Qualitative Particle Swarm Optimization (Q-PSO) for Energy-Efficient Building Designs. - Debora Slanzi; Matteo Borrotti; Davide De March; Daniele Orlando; Silvio Giove; Irene Poli (WIVACE, 2014)

Designing Lead Optimisation of MMP-12 Inhibitors. - Matteo Borrotti; Davide De March; Debora Slanzi; Irene Poli (Comput. Math. Methods Medicine, 2014)

A coordinate-exchange two-phase local search algorithm for the D- and I-optimal designs of split-plot experiments. - Francesco Sambo; Matteo Borrotti; Kalliopi Mylona (Comput. Stat. Data Anal., 2014)

Response improvement in complex experiments by co-information composite likelihood optimization. - Davide Ferrari; Matteo Borrotti; Davide De March (Stat. Comput., 2014)

A Predictive Approach Based on Neural Network Models for Building Automation Systems. - Davide De March; Matteo Borrotti; Luca Sartore; Debora Slanzi; Lorenzo Podestà; Irene Poli (Advances in Neural Networks, 2015)

Naïve Bayes ant colony optimization for designing high dimensional experiments. - Matteo Borrotti; Giovanni Minervini; Davide De Lucrezia; Irene Poli (Appl. Soft Comput., 2016)

A multi-objective coordinate-exchange two-phase local search algorithm for multi-stratum experiments. - Matteo Borrotti; Francesco Sambo; Kalliopi Mylona; Steven G. Gilmour (Stat. Comput., 2017)

A Deep Reinforcement Learning Approach for Automated Cryptocurrency Trading. - Giorgio Lucarelli; Matteo Borrotti (AIAI, 2019)

A deep Q-learning portfolio management framework for the cryptocurrency market. - Giorgio Lucarelli; Matteo Borrotti (Neural Comput. Appl., 2020)

Deep Autonomous Agents Comparison for Self-driving Cars. - Alessandro Riboni; Antonio Candelieri; Matteo Borrotti (LOD, 2021)

Bayesian Optimization and Deep Learning forsteering wheel angle prediction. - Alessandro Riboni; Nicolò Ghioldi; Antonio Candelieri; Matteo Borrotti (CoRR, 2021)

Impact of multi-armed bandit strategies on deep recurrent reinforcement learning. - Valentina Zangirolami; Matteo Borrotti (CoRR, 2023)

Dealing with uncertainty: Balancing exploration and exploitation in deep recurrent reinforcement learning. - Valentina Zangirolami; Matteo Borrotti (Knowl. Based Syst., 2024)