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Dr. Alessio Benavoli

Associate Professor (Statistics)

 


  Artificial Intelligence/Cybernetics   Control Theory (Computer Sciences)   Data Analysis   Probabilistic Machine Learning   Probability   Quantum information physics   Statistics
Corani, Giorgio; Benavoli, Alessio; Augusto, Joao; Zaffalon, Marco, Time series forecasting with Gaussian Processes needs priors , European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML PKDD, Bilbao, Spain, 13-17 September, 2021, Conference Paper, PUBLISHED  URL
Alessio Benavoli, Dario Azzimonti, Dario Piga, A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes, Machine Learning, 2021, Journal Article, PUBLISHED  DOI
Benavoli, A.; Azzimonti, D.; Piga, D., Skew Gaussian processes for classification, Machine Learning, 109, 2020, p1877 - 1902, Journal Article, PUBLISHED
Ristic, B.; Gilliam, C.; Byrne, M.; Benavoli, A., A tutorial on uncertainty modeling for machine reasoning, Information Fusion, 55, 2020, p30 - 44, Journal Article, PUBLISHED
Piga, D.; Bemporad, A.; Benavoli, A., Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models, Automatica, 117, 2020, Journal Article, PUBLISHED
Schürch, M.; Azzimonti, D.; Benavoli, A.; Zaffalon, M., Recursive estimation for sparse Gaussian process regression, Automatica, 120, 2020, p109 - 127, Journal Article, PUBLISHED
Benavoli, A. ; Facchini, A. ; Zaffalon, M., Bernstein's socks, polynomial-time provable coherence and entanglement, PJMLR, International Symposium on Imprecise Probability: Theories and Applications, Ghent, Belgium, edited by Bock, De J; de Campos, C; de Cooman, G; Quaeghebeur, E; Wheeler, G , 2019, Conference Paper, PUBLISHED
Piga, D. ; Benavoli, A., Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering, European Control Conference (ECC), Naples, Italy, 25-28 June , 2019, Conference Paper, PUBLISHED
Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon, Sum-of-squares for bounded rationality, International Journal of Approximate Reasoning, 2019, p130 - 152, Journal Article, PUBLISHED
Benavoli, A; Balleri, A; Farina, A, Joint Waveform and Guidance Control Optimization for Target Rendezvous, IEEE Transactions on Signal Processing, 67, (16), 2019, p4357 - 4369, Journal Article, PUBLISHED
  

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My current research interests lie in Bayesian statistics and probabilistic machine learning. Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the main theoretical and practical methodologies for designing machines that learn from data. My research on this topic focuses on nonparametric models, decision making under uncertainty, and reliability and risk analysis. I am also interested in control theory, signal processing, and the foundation of rationality theories including probability and quantum theory. I have 15 years experience in developing statistical models and AI-based systems for industry with applications to smart manufacturing, quantitative finance, green energy production forecast and defense sector.