School of Computer Science and Statistics

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O’Reilly Institute
Trinity College Dublin
Dublin 2
Ireland

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Dr. Alessio Benavoli

Dr. Alessio Benavoli

Associate Professor, Statistics

http://scss.tcd.ie/~benavola

Biography

Alessio Benavoli is an internationally recognised researcher in statistics, probabilistic machine learning, and automation. He received his Master's degree (2004) and his Ph.D. (2008) in Computer and Control Engineering from the University of Florence, Italy. From 2007 to 2008, he worked for the international company SELEX-Sistemi Integrati as system analyst. From 2008 to 2019, he was at the Dalle Molle Institute for Artificial Intelligence (IDSIA) in Lugano, Switzerland, becoming full professor in 2018. From 2019 to 2021, he was Senior Lecturer in Artificial Intelligence and Machine Learning (ML) at the University of Limerick (Ireland). Currently, he is Associate Professor in Statistics at the School of Computer Science and Statistics, Trinity College Dublin. Alessio has ~130 technical peer-reviewed publications in main scientific journals and conferences in AI, machine learning (ML) and statistics, and his research bridges AI and ML, data science and engineering. He has 16 years experience in developing statistical models and AI-based systems for industry with applications to smart manufacturing, quantitative finance, green energy production forecast and defence sector.

Publications and Further Research Outputs

  • Benavoli, A.; Azzimonti, D.; Piga, D., Skew Gaussian processes for classification, Machine Learning, 109, 2020, p1877 - 1902Journal Article, 2020
  • Ristic, B.; Gilliam, C.; Byrne, M.; Benavoli, A., A tutorial on uncertainty modeling for machine reasoning, Information Fusion, 55, 2020, p30 - 44Journal Article, 2020
  • 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 , 2019Conference Paper, 2019
  • Benavoli, A; Balleri, A; Farina, A, Joint Waveform and Guidance Control Optimization for Target Rendezvous, IEEE Transactions on Signal Processing, 67, (16), 2019, p4357 - 4369Journal Article, 2019
  • Piga, D. ; Benavoli, A., Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering, European Control Conference (ECC), Naples, Italy, 25-28 June , 2019Conference Paper, 2019
  • Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon, Sum-of-squares for bounded rationality, International Journal of Approximate Reasoning, 2019, p130 - 152Journal Article, 2019
  • Benavoli, A. , Dual Probabilistic Programming, PROBPROG 2018 The International Conference on Probabilistic Programmin, MIT, Boston, US, 2018Conference Paper, 2018
  • Alessio Benavoli, Alessandro Facchini, Marco Zaffalon, A Gleason-Type Theorem for Any Dimension Based on a Gambling Formulation of Quantum Mechanics, Foundations of Physics, 2017Journal Article, 2017
  • Benavoli, Alessio ; Facchini, Alessandro ; Vicente-Perez, Jose ; Zaffalon, Marco, A polarity theory for sets of desirable gambles, Proc. ISIPTA'17 Int. Symposium on Imprecise Probability: Theories and Applications, , 2017Conference Paper, 2017
  • Piga, Dario ; Benavoli, Alessio, A unified framework for deterministic and probabilistic D-stability analysis of uncertain polynomial matrices, Automatic Control, IEEE Transactions on, 2017Journal Article, 2017
  • Benavoli, Alessio ; Facchini, Alessandro ; Zaffalon, Marco, Bayes + Hilbert = Quantum Mechanics, Proceedings of the 14th International Conference on Quantum Physics and Logic (QPL 2017), 2017Conference Paper, 2017
  • Balleri, Alessio ; Benavoli, Alessio ; Farina, Alfonso, Coordination of Guidance and Adaptive Radiated Waveform for Interception and Rendezvous Problems, 18th International Radar Symposium (IRS 2017),, 2017Conference Paper, 2017
  • Balleri, Alessio ; Farina, Alfonso ; Benavoli, Alessio, Coordination of optimal guidance law and adaptive radiated waveform for interception and rendezvous problems, IET Radar, Sonar & Navigation, 2017Journal Article, 2017
  • Maradia, Umang; Benavoli, Alessio; Boccadoro, Marco; Klyuev, Mikhail; Gambardella, Luca; Wegener, Konrad; Bonesana, Claudio; Zaffalon, Marco, EDM Drilling optimisation using stochastic optimisation, CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME `17, 2017Conference Paper, 2017
  • Benavoli, A.; Facchini, A. ; Piga, D.; Zaffalon, M. , SOS for bounded rationality, Proc. ISIPTA'17 Int. Symposium on Imprecise Probability: Theories and Applications, , 2017Conference Paper, 2017
  • Corani, G.; Benavoli, A.; Dem ar, J.; Mangili, F.; Zaffalon, M., Statistical comparison of classifiers through Bayesian hierarchical modelling, Machine Learning, 2017, p1 - 21Journal Article, 2017
  • Benavoli, A. ; Corani, G. ; Demsar, J. ; Zaffalon, M., Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis, Journal of Machine Learning Research, 18, (77), 2017, p1 - 36Journal Article, 2017
  • Benavoli, Alessio ; Piga, Dario, A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding, Automatica, 2016Journal Article, 2016
  • Benavoli, Alessio ; de Campos, Cassio P, Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables, Entropy, 2016Journal Article, 2016
  • de Campos, Cassio P; Benavoli, Alessio, Joint Analysis of Multiple Algorithms and Performance Measures, New Generation Computing, 2016Journal Article, 2016
  • Benavoli, Alessio ; Facchini, Alessandro ; Zaffalon, Marco, Quantum mechanics: The Bayesian theory generalized to the space of Hermitian matrices, Phys. Rev. A, 2016Journal Article, 2016
  • Benavoli, Alessio ; Facchini, Alessandro ; Zaffalon, Marco, Quantum rational preferences and desirability, Proceedings of The 1st International Workshop on "Imperfect Decision Makers: Admitting Real-World Rationality", NIPS 2016,, 2016Conference Paper, 2016
  • Corani, Giorgio ; Benavoli, Alessio ; Dem ar, Janez ; Mangili, Francesca ; Zaffalon, Marco, Statistical comparison of classifiers through Bayesian hierarchical modelling, Machine Learning, 2016Journal Article, 2016
  • Corani, Giorgio ; Benavoli, Alessio, A Bayesian approach for comparing cross-validated algorithms on multiple data sets, Accepted to the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), 2015Journal Article, 2015
  • Corani, Giorgio ; Benavoli, Alessio, A Bayesian approach for comparing cross-validated algorithms on multiple data sets, Machine Learning, 2015Journal Article, 2015
  • Benavoli, Alessio ; Corani, Giorgio ; Mangili, Francesca ; Zaffalon, Marco, A Bayesian nonparametric procedure for comparing algorithms, Proceedings of the 31th International Conference on Machine Learning (ICML 2015), 2015Conference Paper, 2015
  • Benavoli, Alessio ; Mangili, Francesca, Gaussian Processes for Bayesian hypothesis tests on regression functions, Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTAT 2015), 2015Conference Paper, 2015
  • Benavoli, Alessio ; Mangili, Francesca ; Ruggeri, Fabrizio ; Zaffalon, Marco, Imprecise Dirichlet Process With Application to the Hypothesis Test on the Probability that X< Y, Journal of Statistical Theory and Practice, 2015Journal Article, 2015
  • Mangili, Francesca ; Benavoli, Alessio, New prior near-ignorance models on the simplex, International Journal of Approximate Reasoning, 2015Journal Article, 2015
  • Mangili, Francesca ; Benavoli, Alessio ; de Campos, Cassio P; Zaffalon, Marco, Reliable survival analysis based on the Dirichlet Process, Biometrical Journal, 2015Journal Article, 2015
  • Benavoli, Alessio ; de Campos, Cassio P, Statistical Tests for Joint Analysis of Performance Measures, Advanced Methodologies for Bayesian Networks: Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings, 2015Conference Paper, 2015
  • Benavoli, Alessio ; Mangili, Francesca ; Corani, Giorgio ; Zaffalon, Marco ; Ruggeri, Fabrizio, A Bayesian Wilcoxon signed-rank test based on the Dirichlet process, Proceedings of the 30th International Conference on Machine Learning (ICML 2014), 2014Conference Paper, 2014
  • Benavoli, Alessio, Belief function and multivalued mapping robustness in statistical estimation, International Journal of Approximate Reasoning, 2014Journal Article, 2014
  • Benavoli, Alessio ; Zaffalon, Marco, Prior near ignorance for inferences in the k-parameter exponential family, Statistics, 2014Journal Article, 2014
  • Mauá, Denis Deratani ; de Campos, Cassio P; Benavoli, Alessio ; Antonucci, Alessandro, Probabilistic Inference in Credal Networks: New Complexity Results, Journal of Artifical Intelligence Research, 2014Journal Article, 2014
  • Piga, D.; Bemporad, A.; Benavoli, A., Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models, Automatica, 117, 2020Journal Article, 2020
  • Schürch, M.; Azzimonti, D.; Benavoli, A.; Zaffalon, M., Recursive estimation for sparse Gaussian process regression, Automatica, 120, 2020, p109 - 127Journal Article, 2020
  • 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, 2021Conference Paper, 2021, 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, 2021Journal Article, 2021, DOI
  • Alessio Benavoli and Cassio de Campos, Bayesian Kernelised Test of (In)dependence with Mixed-type Variables, The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA). Porto, Portugal, 2021Conference Paper, 2021, URL
  • Kania, Lucas and SchÃŒrch, Manuel and Azzimonti, Dario and Benavoli, Alessio, Sparse Information Filter for Fast Gaussian Process Regression, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML PKDD, 2021Conference Paper, 2021, URL
  • Casanova, Arianna and Benavoli, Alessio and Zaffalon, Marco, Nonlinear Desirability as a Linear Classification Problem, ISIPTA'21 Int. Symposium on Imprecise Probability: Theories and Applications, PJMLR, 2021Conference Paper, 2021, URL
  • Alessio Benavoli and Alessandro Facchini and Marco Zaffalon, Quantum indistinguishability through exchangeable desirable gambles, ISIPTA'21 Int. Symposium on Imprecise Probability: Theories and Applications, PJMLR, 2021Conference Paper, 2021, URL
  • Alessio Benavoli and Dario Azzimonti and Dario Piga, Preferential Bayesian optimisation with Skew Gaussian Processes, 2021 Genetic and Evolutionary Computation Conference Companion (GECCO '21 Companion), July 10--14, 2021, Lille, France, New York, NY, USA, ACM, 2021Conference Paper, 2021, DOI , URL
  • Benavoli, Alessio, Imprecise Hierarchical Dirichlet model with applications, Information Fusion (FUSION), 2013 Proc. of the 16th International Conference on, 2013, pp1--8Conference Paper, 2013, URL
  • Benavoli, Alessio and Papi, Francesco, Set-membership PHD filter, Information Fusion (FUSION), 2013 Proc. of the 16th International Conference on, 2013, pp1722 --1729Conference Paper, 2013, URL
  • Maua, Denis Deratani and de Campos, Cassio P. and Benavoli, Alessio and Antonucci, Alessandro, On the Complexity of Strong and Epistemic Credal Networks, Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), 2013, pp391-400Conference Paper, 2013, URL
  • Benavoli, Alessio, The Generalized Moment-Based Filter, Automatic Control, IEEE Transactions on, 58, (10), 2013, p2642-2647Journal Article, 2013, DOI , URL
  • Benavoli, Alessio and Zaffalon, Marco, Density-ratio robustness in dynamic state estimation, Mechanical Systems and Signal Processing, 37, (12), 2013, p54 - 75Journal Article, 2013, DOI , URL
  • Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, Data-Driven Strategies for selective data transmission in sensor networks, Conference on Decision and Control, 2012Conference Paper, 2012
  • Benavoli, Alessio and Noack, Benjamin, Pushing Kalman's Idea to the Extremes, Accepted to Information Fusion (FUSION), 2012, 2012Conference Paper, 2012, URL
  • Belief Function Robustness in Estimation in, editor(s)Denoeux, Thierry and Masson, Marie-Helene , Belief Functions: Theory and Applications, Springer Berlin / Heidelberg, 2012, pp375-383 , [Benavoli, Alessio]Book Chapter, 2012, DOI , URL
  • Benavoli, Alessio and Zaffalon, Marco, A model of prior ignorance for inferences in the one-parameter exponential family, Journal of Statistical Planning and Inference, 142, (7), 2012, p1960 - 1979Journal Article, 2012, DOI , URL
  • Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, Data-driven communication for state estimation with sensor networks, Automatica, 48, (5), 2012, p926 - 935Journal Article, 2012, DOI , URL
  • Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, State estimation with remote sensors and intermittent transmissions, Systems & Control Letters, 61, (1), 2012, p155 - 164Journal Article, 2012, DOI , URL
  • Benavoli, Alessio and Ristic, Branko, Data Fusion using Evidential Networks for Decision Support in Surveillance Systems, Wiley, 2012, Ch. 18ppBook, 2012
  • Battistelli, Giorgio and Chisci, Luigi and Papi, Francesco and Benavoli, Alessio and Farina, Alfonso and Graziano, Antonio, Optimal Flow Models for Multiscan Data Association, Aerospace and Electronic Systems, IEEE Transactions on, 47, (4), 2011, p2405 -2422Journal Article, 2011, DOI
  • de Campos, Cassio P. and Benavoli, Alessio, Inference with Multinomial Data: Why to Weaken the Prior Strength., Proc. of the 22th International Joint Conference on Artificial Intelligence IJCAI, Belief Functions: Theory and Applications, edited by Walsh, Toby , 2011, pp2107-2112Conference Paper, 2011, URL
  • Benavoli, Alessio and Ristic, Branko, Classification with Imprecise Likelihoods: A comparison of TBM, Random Set and Imprecise Probability Approach, Information Fusion (FUSION), 2011 Proc. of the 14th International Conference on, Belief Functions: Theory and Applications, 2011, pp1--8Conference Paper, 2011, URL
  • Benavoli, Alessio and Zaffalon, Marco, A discussion on learning and prior ignorance for sets of priors in the one-parameter exponential family, Proc. ISIPTA'11 - 7th Int. Symposium on imprecise Probability: Theories and Applications, Belief Functions: Theory and Applications, Innsbruck (AU), 2011, pp1--10Conference Paper, 2011, URL
  • Benavoli, Alessio and Zaffalon, Marco and Miranda, Enrique, Robust Filtering Through Coherent Lower Previsions, Automatic Control, IEEE Transactions on, 56, (7), 2011, p1567 -1581Journal Article, 2011, DOI , URL
  • Hernandez, Marcel and Benavoli, Alessio and Graziano, Antonio and Farina, Alfonso and Morelande, Mark, Performance Measures and MHT for Tracking Move-Stop-Move Targets with MTI Sensors, Aerospace and Electronic Systems, IEEE Transactions on, 47, (2), 2011, p996 -1025Journal Article, 2011, DOI
  • Benavoli, Alessio and Chisci, Luigi, Robust stochastic control based on imprecise probabilities, Proc. of the 18th IFAC World Congress, Belief Functions: Theory and Applications, 2011, pp4606--4613Conference Paper, 2011, URL
  • Benavoli, Alessio, Interval dominance based data association, Information Fusion, 2010. FUSION '10. 13th International Conference on, Belief Functions: Theory and Applications, 2010, pp1 -8Conference Paper, 2010, URL
  • Restricting the IDM for Classification in, editor(s)Haullermeier, Eyke and Kruse, Rudolf and Hoffmann, Frank , Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Springer Berlin Heidelberg, 2010, pp328-337 , [Corani, Giorgio and Benavoli, Alessio]Book Chapter, 2010, DOI , URL
  • Benavoli, Alessio and Antonucci, Alessandro, Aggregating Imprecise Probabilistic Knowledge: application to Zadeh's paradox and sensor networks, Int. Journal of Approximate Reasoning, 51, (9), 2010, p1014--1028Journal Article, 2010, DOI , URL
  • Benavoli, Alessio and Zaffalon, Marco and Miranda, Enrique, Reliable hidden Markov model filtering through coherent lower previsions, Information Fusion, 2009. FUSION '09. 12th International Conference on, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Seattle (USA), 2009, pp1743--1750Conference Paper, 2009, URL
  • Antonucci, Alessandro and Benavoli, Alessio and Zaffalon, Marco and de Cooman, Gert and Hermans, Filip, Multiple Model Tracking by Imprecise Markov Trees, Information Fusion, 2009. FUSION '09. 12th International Conference on, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Seattle (USA), 2009, pp1767--1774Conference Paper, 2009, URL
  • Benavoli, Alessio and de Campos, Cassio P., Inference from multinomial data based on a MLE-dominance criterion, Proc. on European Conf. on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (Ecsqaru), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Verona (IT), Springer Berlin / Heidelberg, 2009, pp22--33Conference Paper, 2009, URL
  • Benavoli, Alessio and Antonucci, Alessandro, Aggregating Imprecise Probabilistic Knowledge, Proc. ISIPTA'09 - 6th Int. Symposium on imprecise Probability: Theories and Applications, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Durham (UK), 2009, pp31--41Conference Paper, 2009, URL
  • Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, State Estimation with remote sensors and data driven communication, Proc. on 1st IFAC workshop on Estimation and Control of networked systems, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Venice (IT), 2009Conference Paper, 2009, URL
  • Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, State Estimation in a Centralized Sensor Network under Limited Communication Rate, Proc. on European Control Conference (ECC), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Budapest, Hungary, 2009Conference Paper, 2009, URL
  • Benavoli, Alessio and Chisci, Luigi and Farina, Alfonso, Fibonacci sequence, golden section, Kalman filter and optimal control, Signal Processing, 89, (8), 2009, p1483--1488Journal Article, 2009, DOI , URL
  • Benavoli, Alessio and Ristic, Branko and Farina, Alfonso and Oxenham, Martin and Chisci, Luigi, An Application of Evidential Networks to Threat Assessment, Aerospace and Electronic Systems, IEEE Transactions on, 45, (2), 2009, p620--639Journal Article, 2009, DOI , URL
  • Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, State Estimation in a Sensor Network under Bandwidth Constraints, Springer, 2009, 207--221ppBook, 2009
  • Benavoli, Alessio and Chisci, Luigi and Ristic, Branko and Farina, Alfonso, Modelling Uncertain Implication Rules in Evidence Theory, Information Fusion, 2008. FUSION '08. 11th International Conference on, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Cologne, Germany, 2008, pp1--8Conference Paper, 2008, DOI , URL
  • Benavoli, Alessio and Di Lallo, Annarita, Why Should We Use Particle Filtering in FM Band Passive Radar?, Proc. on European Radar Conference Amsterdam (EuRAD), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Amsterdam, Netherlands, 2008, pp344--347Conference Paper, 2008, URL
  • Battistelli, Giorgio and Chisci, Luigi and Morrocchi, Stefano and Papi, Francesco and Benavoli, Alessio and Farina, Alfonso and Graziano, Antonio, Traffic intensity estimation via PHD filtering, Proc. on European Radar Conference Amsterdam (EuRAD), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Amsterdam, Netherlands, 2008, pp340--343Conference Paper, 2008, URL
  • Battistelli, Giorgio and Chisci, Luigi and Papi, Francesco and Benavoli, Alessio and Farina, Alfonso, Multiscan association as a single-commodity flow optimization problem, Radar Conference, 2008. RADAR '08. IEEE, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Adelaide, Australia, 2008, pp519--524Conference Paper, 2008, DOI , URL
  • Benavoli, Alessio and Farina, Alfonso and Ortenzi, Luciana, MLE in presence of equality and inequality non-linear constraints for the ballistic target problem, Radar Conference, 2008. RADAR '08. IEEE, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Roma, Italy, 2008, pp1--6Conference Paper, 2008, DOI , URL
  • Chisci, Luigi and Benavoli, Alessio and Farina, Alfonso, Tracking a target moving in a known road network by square-root equality-constrained filtering, Radar Conference, 2008. RADAR '08. IEEE, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Roma, Italy, 2008, pp1--6Conference Paper, 2008, DOI , URL
  • Battistelli, Giorgio and Chisci, Luigi and Papi, Francesco and Farina, Alfonso and Benavoli, Alessio, Multiscan association as a multi-commodity flow optimization problem, Proc. on IEEE Radar Conference, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Roma, Italy, 2008, pp1--6Conference Paper, 2008, DOI , URL
  • Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, State estimation with a remote sensor under limited communication rate, Proc. on 3rd Int. Symp. on Communications, Control and Signal Processing (ISCCSP), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Malta, 2008, pp654--659Conference Paper, 2008, DOI , URL
  • Benavoli, Alessio and Ristic, Branko and Farina, Alfonso and Oxenham, Martin and Chisci, Luigi, An approach to Threat Assessment Based on Evidential Networks, Information Fusion, 2008. FUSION '08. 10th International Conference on, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Quebec city, Canada, 2008, pp1--6Conference Paper, 2008, DOI , URL
  • Benavoli, Alessio and Chisci, Luigi and Di Lallo, Annarita and Farina, Alfonso and Fulcoli, Riccardo and Mancinelli, Riccardo and Timmoneri, Luca, Design and development of a signal and data processor test bed for a passive radar in the FM band, Radar Systems, 2007 IET International Conference on, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Edinburgh, (UK), 2007, pp1--5Conference Paper, 2007, URL
  • Benavoli, Alessio and Chisci, Luigi, Towards optimal energy-quality tradeoff in tracking via sensor networks, Proc. on European Control Conference (ECC), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, Kos, Greece, 2007, pp1--5Conference Paper, 2007, URL
  • Benavoli, Alessio and Chisci, Luigi, Improved estimation for object localization via sensor networks, Networking, Sensing and Control, 2007 IEEE International Conference on, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, London, (UK), 2007, pp302--306Conference Paper, 2007, DOI , URL
  • Benavoli, Alessio and Chisci, Luigi and Farina, Alfonso, Tracking of a ballistic missile with a-priori information, Aerospace and Electronic Systems, IEEE Transactions on, 43, (3), 2007, p1000--1016Journal Article, 2007, DOI , URL
  • Benavoli, Alessio and Chisci, Luigi and Farina, Alfonso, Estimation of constrained parameters with guaranteed MSE improvement, Signal Processing, IEEE Transactions on, 55, (4), 2007, p1264--1274Journal Article, 2007, DOI , URL
  • Benavoli, Alessio; Chisci, Luigi; Farina, Alfonso; Ortenzi, Luciana; Zappa, Giovanni, Hard-Constrained versus Soft-Constrained Parameter Estimation, Aerospace and Electronic Systems, IEEE Transactions on, 42, 2006, p1224-1239Journal Article, 2006, DOI
  • Benavoli, Alessio; Chisci, Luigi; Farina, Alfonso; Immediata, Sandro; Timmoneri, Luca; Zappa, Giovanni, Knowledge-Based System for Multi-Target Tracking in a Littoral Environment, IEEE Trans. Aerospace and Electronic Systems, 42, 2006, p1100-1119Journal Article, 2006, DOI
  • Benavoli A., Wyse J. and White A., Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect, PROBPROG, 2021Conference Paper, 2021
  • Benavoli , Alessio and Facchini, Alessandro and Zaffalon, Marco, The Weirdness Theorem and the Origin of Quantum Paradoxes, Foundations of Physics, 51, (95), 2021Journal Article, 2021, DOI , URL
  • Benavoli, Alessio and Corani, Giorgio, State Space Approximation of Gaussian Processes for Time Series Forecasting, Advanced Analytics and Learning on Temporal Data, Cham, edited by Lemaire, Vincent and Malinowski, Simon and Bagnall, Anthony and Guyet, Thomas and Tavenard, Romain and Ifrim, Georgiana , Springer International Publishing, 2021, pp21--35Conference Paper, 2021
  • Alessio Benavoli and Alessio Balleri and Alfonso Farina, Joint Waveform and Guidance Control Optimization by Statistical Linearisation for Target Rendezvous, IEEE Radar Conference 2021, May 8-14, Atlanta (USA), 2021Conference Paper, 2021, URL
  • EANNA McGRATH, NICK MAHONY, NEIL FLEMING, ALESSIO BENAVOLI, and BERNARD DONNE, Prediction of Functional Threshold Power from Graded Exercise Test Data in Highly-Trained Individuals, International Journal of Exercise Science, 15, (4), 2022, p747 - 759Journal Article, 2022
  • Alessio Benavoli and Alessandro Facchini and Marco Zaffalon, Quantum indistinguishability through exchangeability, International Journal of Approximate Reasoning, 151, 2022, p389-412Journal Article, 2022, DOI
  • Almardeny, Yahya and Benavoli, Alessio and Boujnah, Noureddine and Naredo, Enrique, A Reinforcement Learning System for Generating Instantaneous Quality Random Sequences, IEEE Transactions on Artificial Intelligence, 2022, p1-1Journal Article, 2022, DOI
  • Arianna Casanova and Alessio Benavoli and Marco Zaffalon, Nonlinear desirability as a linear classification problem, International Journal of Approximate Reasoning, 152, 2023, p1-32Journal Article, 2023, DOI
  • Manuel Schuerch and Dario Azzimonti and Alessio Benavoli and Marco Zaffalon, Correlated Product of Experts for Sparse Gaussian Process Regression, Machine Learning, 2022Journal Article, 2022, DOI
  • Ristic, Branko and Benavoli, Alessio and Arulampalam, Sanjeev, Credal Valuation Networks for Machine Reasoning Under Uncertainty, IEEE Transactions on Artificial Intelligence, 2023, p1-10Journal Article, 2023, DOI
  • , Modelling and efficient fusion of uncertain information: beyond the classical probability approach, 2007Journal Article, 2007
  • , State Space representation of non-stationary Gaussian Processes, 2016Journal Article, 2016
  • , Computational Complexity and the Nature of Quantum Mechanics (Extended version), 2019Journal Article, 2019
  • , Accepting and Rejecting Gambles: A Logical Point of View, Progic 2017: The 8th Workshop on Combining Probability and Logic, Munich 2017, 2017Journal Article, 2017
  • , Computational Complexity and the Nature of Quantum Mechanics, 2019Journal Article, 2019
  • Enrique Miranda, Ignacio Montes, Erik Quaeghebeur, Barbara Vantaggi(ed.), Closure operators, classifiers and desirability, 2023Proceedings of a Conference, 2023, URL
  • Alessio Benavoli and Dario Azzimonti and Dario Piga, Learning Choice Functions with Gaussian Processes, Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, edited by Robin J. Evans and Ilya Shpitser , 216, PMLR, 2023, pp141--151Conference Paper, 2023, URL
  • Alessio Benavoli and Dario Azzimonti and Dario Piga, Bayesian Optimization For Choice Data, 2023 Genetic and Evolutionary Computation Conference Companion (GECCO '23 Companion), July 15--19, 2023, Lisbon, 2023Conference Paper, 2023
  • Branko Ristic and Alessio Benavoli and Alex Skvortsov, Robust target area search using sets of probabilities, Digital Signal Processing, 142, 2023, p104195Journal Article, 2023, DOI , URL
  • Arash Kia and James Waterson and Norma Bargary and Stuart Rolt and Kevin Burke and Jeremy Robertson and Samuel Garcia and Alessio Benavoli and David Bergström, Determinants of Intravenous Infusion Longevity and Infusion Failure via a Nonlinear Model Analysis of Smart Pump Event Logs: Retrospective Study, JMIR AI, 2, 2023, pe48628Journal Article, 2023, DOI , URL
  • Knowledge Based Networking in, editor(s)A. Hinze and A. Buchman , Handbook of Research on Advanced Distributed Event-Based Systems, Publish-Subscribe and Message Filtering Technologies (Principles and Applications of Distributed Event-Based Systems), New York, IGI Global, 2009, [J. Keeney, D. Jones, S. Guo, D., Lewis, D. O'Sullivan]Book Chapter, 2009, DOI , URL , TARA - Full Text

Research Expertise

My main research interests are in the areas of Bayesian parametric and non-parametric statistics; foundation of probability theory and desirable gambles; quantum mechanics; decision-making under uncertainty; prior near-ignorance; dynamical systems and control; with applications to data analytics, machine learning and control theory.

  • Title
    Data analytics for the development of smart infusion pumps
    Summary
    Funding Agency
    BD & SFI-Confirm
    Date From
    01/06/2021
    Date To
    01/06/2023
  • Title
    Humans-in-the-Loop towards a more effective AI in manufacturing
    Summary
    The adoption of Artificial Intelligence (AI) for Process Optimisation (PO) in manufacturing can significantly contribute to make the Irish manufacturing sector more competitive and sustainable. However, its adoption has been slower than expected. Looking at the way AI is being used in PO, the issue is the need of tailoring AI-solutions for every machine tool and context (used material, shape of the manufactured object). With this approach, the industry will need "tens of thousands"" of unique AI- models, which is clearly infeasible. Instead of developing an AI-solution for each machine tool and context, HLOOP proposes to build a single AI-model exploiting the synergy between AI and human-workers. Assessing the quality of the manufacturing process is more effectively done by humans than AI, while AI is better at dealing with high-dimensional decision problems. We plan to use the feedback of machine operators to train on-the-fly (that is without using any pre-collected dataset) and in real-time an AI-model that can predict when the manufacturing process is good/bad, and then optimise it. https://hloop.scss.tcd.ie/
    Funding Agency
    SFI
    Date From
    01/01/2023
    Date To
    30/06/2024