Matteo Borrotti

According to our database, Matteo Borrotti authored at least 14 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Impact of multi-armed bandit strategies on deep recurrent reinforcement learning.

Valentina Zangirolami, Matteo Borrotti

CoRR, 2023

2021

Bayesian Optimization and Deep Learning forsteering wheel angle prediction.

Alessandro Riboni, Nicolò Ghioldi, Antonio Candelieri, Matteo Borrotti

CoRR, 2021

Deep Autonomous Agents Comparison for Self-driving Cars.

Alessandro Riboni, Antonio Candelieri, Matteo Borrotti

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020

A deep Q-learning portfolio management framework for the cryptocurrency market.

Giorgio Lucarelli, Matteo Borrotti

Neural Comput. Appl., 2020

2019

A Deep Reinforcement Learning Approach for Automated Cryptocurrency Trading.

Giorgio Lucarelli, Matteo Borrotti

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2017

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

2016

Naïve Bayes ant colony optimization for designing high dimensional experiments.

Matteo Borrotti, Giovanni Minervini, Davide De Lucrezia, Irene Poli

Appl. Soft Comput., 2016

2015

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

Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

2014

Response improvement in complex experiments by co-information composite likelihood optimization.

Davide Ferrari, Matteo Borrotti, Davide De March

Stat. Comput., 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

Designing Lead Optimisation of MMP-12 Inhibitors.

Matteo Borrotti, Davide De March, Debora Slanzi, Irene Poli

Comput. Math. Methods Medicine, 2014

Qualitative Particle Swarm Optimization (Q-PSO) for Energy-Efficient Building Designs.

Debora Slanzi, Matteo Borrotti, Davide De March, Daniele Orlando, Silvio Giove, Irene Poli

Proceedings of the Advances in Artificial Life and Evolutionary Computation, 2014

2012

Naïve Bayes Ant Colony Optimization for Experimental Design.

Matteo Borrotti, Irene Poli

Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

2010

A Model Based Ant Colony Design for the Protein Engineering Problem.

Matteo Borrotti, Davide De Lucrezia, Giovanni Minervini, Irene Poli

Proceedings of the Swarm Intelligence - 7th International Conference, 2010