Alessio Benavoli

103 papers A* 3A 4B 2C 11Journal 62Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Connecting classical finite exchangeability to quantum theory and indistinguishability. Int. J. Approx. Reason. Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2026	J	`jnl`	Constraint- and Score-Based Nonlinear Granger Causality Discovery with Kernels. CoRR Fiona Murphy, Alessio Benavoli
2025	—	`conf`	The AI off-switch problem as a signalling game: bounded rationality and incomparability. ISIPTA Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2025	J	`jnl`	The AI off-switch problem as a signalling game: bounded rationality and incomparability. CoRR Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2025	J	`jnl`	Why AI Safety Requires Uncertainty, Incomplete Preferences, and Non-Archimedean Utilities. CoRR Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2025	J	`jnl`	dynoGP: Deep Gaussian Processes for dynamic system identification. CoRR Alessio Benavoli, Dario Piga, Marco Forgione, Marco Zaffalon
2024	J	`jnl`	A tutorial on learning from preferences and choices with Gaussian Processes. CoRR Alessio Benavoli, Dario Azzimonti
2024	J	`jnl`	Bayes' Rule Using Imprecise Probabilities [Lecture Notes]. IEEE Signal Process. Mag. Branko Ristic, Alessio Benavoli, Sanjeev Arulampalam
2024	C	`conf`	Credal Valuation Network for Ongoing Threat Assessment. FUSION Branko Ristic, Alessio Benavoli
2024	J	`jnl`	Credal Valuation Networks for Machine Reasoning Under Uncertainty. IEEE Trans. Artif. Intell. Branko Ristic, Alessio Benavoli, Sanjeev Arulampalam
2024	A	`conf`	Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability. UAI Alessio Benavoli, Dario Azzimonti
2023	J	`jnl`	A Reinforcement Learning System for Generating Instantaneous Quality Random Sequences. IEEE Trans. Artif. Intell. Yahya Almardeny, Alessio Benavoli, Noureddine Boujnah, Enrique Naredo
2023	—	`conf`	Bayesian Optimization For Choice Data. GECCO Companion Alessio Benavoli, Dario Azzimonti, Dario Piga
2023	—	`conf`	Closure operators, classifiers and desirability. ISIPTA Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2023	J	`jnl`	Correlated product of experts for sparse Gaussian process regression. Mach. Learn. Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2023	A	`conf`	Learning Choice Functions with Gaussian Processes. UAI Alessio Benavoli, Dario Azzimonti, Dario Piga
2023	J	`jnl`	Learning Choice Functions with Gaussian Processes. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2023	J	`jnl`	Nonlinear desirability as a linear classification problem. Int. J. Approx. Reason. Arianna Casanova, Alessio Benavoli, Marco Zaffalon
2023	J	`jnl`	Robust target area search using sets of probabilities. Digit. Signal Process. Branko Ristic, Alessio Benavoli, Alex Skvortsov
2022	J	`jnl`	Credal Valuation Networks for Machine Reasoning Under Uncertainty. CoRR Branko Ristic, Alessio Benavoli, Sanjeev Arulampalam
2022	J	`jnl`	Quantum indistinguishability through exchangeability. Int. J. Approx. Reason. Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2021	B	`conf`	A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes. DSAA Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	J	`jnl`	A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. Mach. Learn. Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	B	`conf`	Bayesian Independence Test with Mixed-type Variables. DSAA Alessio Benavoli, Cassio P. de Campos
2021	J	`jnl`	Bayesian Kernelised Test of (In)dependence with Mixed-type Variables. CoRR Alessio Benavoli, Cassio P. de Campos
2021	J	`jnl`	Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing. CoRR Mimi Zhang, Andrew Parnell, Dermot Brabazon, Alessio Benavoli
2021	J	`jnl`	Choice functions based multi-objective Bayesian optimisation. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	J	`jnl`	Correlated Product of Experts for Sparse Gaussian Process Regression. CoRR Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2021	J	`jnl`	Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect. CoRR Alessio Benavoli, Jason Wyse, Arthur J. White
2021	—	`conf`	Nonlinear Desirability as a Linear Classification Problem. ISIPTA Arianna Casanova, Alessio Benavoli, Marco Zaffalon
2021	—	`conf`	Preferential Bayesian optimisation with skew gaussian processes. GECCO Companion Alessio Benavoli, Dario Azzimonti, Dario Piga
2021	—	`conf`	Quantum Indistinguishability through Exchangeable Desirable Gambles. ISIPTA Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2021	—	`conf`	Sparse Information Filter for Fast Gaussian Process Regression. ECML/PKDD (3) Lucas Kania, Manuel Schürch, Dario Azzimonti, Alessio Benavoli
2021	—	`conf`	State Space Approximation of Gaussian Processes for Time Series Forecasting. AALTD@ECML/PKDD Alessio Benavoli, Giorgio Corani
2021	—	`conf`	Time Series Forecasting with Gaussian Processes Needs Priors. ECML/PKDD (4) Giorgio Corani, Alessio Benavoli, Marco Zaffalon
2020	J	`jnl`	A tutorial on uncertainty modeling for machine reasoning. Inf. Fusion Branko Ristic, Christopher Gilliam, Marion Byrne, Alessio Benavoli
2020	J	`jnl`	A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2020	J	`jnl`	Automatic Forecasting using Gaussian Processes. CoRR Giorgio Corani, Alessio Benavoli, João P. S. C. Augusto, Marco Zaffalon
2020	J	`jnl`	Orthogonally Decoupled Variational Fourier Features. CoRR Dario Azzimonti, Manuel Schürch, Alessio Benavoli, Marco Zaffalon
2020	J	`jnl`	Preferential Bayesian optimisation with Skew Gaussian Processes. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2020	J	`jnl`	Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models. Autom. Dario Piga, Alberto Bemporad, Alessio Benavoli
2020	J	`jnl`	Recursive estimation for sparse Gaussian process regression. Autom. Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2020	J	`jnl`	Skew Gaussian Processes for Classification. CoRR Alessio Benavoli, Dario Azzimonti, Dario Piga
2020	J	`jnl`	Skew Gaussian processes for classification. Mach. Learn. Alessio Benavoli, Dario Azzimonti, Dario Piga
2019	—	`conf`	Bernstein's Socks, Polynomial-Time Provable Coherence and Entanglement. ISIPTA Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2019	J	`jnl`	Computational Complexity and the Nature of Quantum Mechanics (Extended version). CoRR Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2019	J	`jnl`	Computational Complexity and the Nature of Quantum Mechanics. CoRR Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2019	J	`jnl`	Joint Waveform and Guidance Control Optimization for Target Rendezvous. IEEE Trans. Signal Process. Alessio Benavoli, Alessio Balleri, Alfonso Farina
2019	J	`jnl`	Recursive Estimation for Sparse Gaussian Process Regression. CoRR Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2019	—	`conf`	Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering. ECC Dario Piga, Alessio Benavoli
2019	J	`jnl`	Sum-of-squares for bounded rationality. Int. J. Approx. Reason. Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon
2017	—	`conf`	A Polarity Theory for Sets of Desirable Gambles. ISIPTA Alessio Benavoli, Alessandro Facchini, Marco Zaffalon, José Vicente-Pérez
2017	J	`jnl`	A Unified Framework for Deterministic and Probabilistic $\mathscr {D}$-Stability Analysis of Uncertain Polynomial Matrices. IEEE Trans. Autom. Control. Dario Piga, Alessio Benavoli
2017	J	`jnl`	Introduction to the special issue on Bayesian Nonparametrics. Int. J. Approx. Reason. Alessio Benavoli, Antonio Lijoi, Antonietta Mira
2017	J	`jnl`	Joint Analysis of Multiple Algorithms and Performance Measures. New Gener. Comput. Cassio P. de Campos, Alessio Benavoli
2017	—	`conf`	SOS for Bounded Rationality. ISIPTA Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon
2017	J	`jnl`	Statistical comparison of classifiers through Bayesian hierarchical modelling. Mach. Learn. Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
2017	J	`jnl`	Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis. J. Mach. Learn. Res. Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
2016	J	`jnl`	A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding. Autom. Alessio Benavoli, Dario Piga
2016	J	`jnl`	Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables. Entropy Alessio Benavoli, Cassio P. de Campos
2016	—	`conf`	Quantum Rational Preferences and Desirability. IDM@NIPS Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2016	J	`jnl`	Should We Really Use Post-Hoc Tests Based on Mean-Ranks? J. Mach. Learn. Res. Alessio Benavoli, Giorgio Corani, Francesca Mangili
2016	J	`jnl`	State Space representation of non-stationary Gaussian Processes. CoRR Alessio Benavoli, Marco Zaffalon
2016	J	`jnl`	Statistical comparison of classifiers through Bayesian hierarchical modelling. CoRR Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
2016	J	`jnl`	Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. CoRR Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
2015	J	`jnl`	A Bayesian approach for comparing cross-validated algorithms on multiple data sets. Mach. Learn. Giorgio Corani, Alessio Benavoli
2015	A*	`conf`	A Bayesian nonparametric procedure for comparing algorithms. ICML Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon
2015	J	`jnl`	A stochastic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding. CoRR Alessio Benavoli, Dario Piga
2015	—	`conf`	Bayesian Hypothesis Testing in Machine Learning. ECML/PKDD (3) Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon
2015	A	`conf`	Gaussian Processes for Bayesian hypothesis tests on regression functions. AISTATS Alessio Benavoli, Francesca Mangili
2015	J	`jnl`	New prior near-ignorance models on the simplex. Int. J. Approx. Reason. Francesca Mangili, Alessio Benavoli
2015	J	`jnl`	Should we really use post-hoc tests based on mean-ranks? CoRR Alessio Benavoli, Giorgio Corani, Francesca Mangili
2015	—	`conf`	Statistical Tests for Joint Analysis of Performance Measures. AMBN@JSAI-isAI Alessio Benavoli, Cassio P. de Campos
2014	A*	`conf`	A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. ICML Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri
2014	J	`jnl`	Belief function and multivalued mapping robustness in statistical estimation. Int. J. Approx. Reason. Alessio Benavoli
2014	J	`jnl`	Probabilistic Inference in Credal Networks: New Complexity Results. J. Artif. Intell. Res. Denis Deratani Mauá, Cassio P. de Campos, Alessio Benavoli, Alessandro Antonucci
2013	C	`conf`	Imprecise Hierarchical Dirichlet model with applications. FUSION Alessio Benavoli
2013	A	`conf`	On the Complexity of Strong and Epistemic Credal Networks. UAI Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci
2013	J	`jnl`	On the Complexity of Strong and Epistemic Credal Networks. CoRR Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci
2013	C	`conf`	Set-membership PHD filter. FUSION Alessio Benavoli, Francesco Papi
2013	J	`jnl`	The Generalized Moment-Based Filter. IEEE Trans. Autom. Control. Alessio Benavoli
2012	—	`conf`	Belief Function Robustness in Estimation. Belief Functions Alessio Benavoli
2012	J	`jnl`	Data-driven communication for state estimation with sensor networks. Autom. Giorgio Battistelli, Alessio Benavoli, Luigi Chisci
2012	—	`conf`	Data-driven strategies for selective data transmission in sensor networks. CDC Giorgio Battistelli, Alessio Benavoli, Luigi Chisci
2012	C	`conf`	Pushing Kalman's idea to the extremes. FUSION Alessio Benavoli, Benjamin Noack
2012	J	`jnl`	State estimation with remote sensors and intermittent transmissions. Syst. Control. Lett. Giorgio Battistelli, Alessio Benavoli, Luigi Chisci
2011	C	`conf`	Classification with imprecise likelihoods: A comparison of TBM, random set and imprecise probability approach. FUSION Alessio Benavoli, Branko Ristic
2011	A*	`conf`	Inference with Multinomial Data: Why to Weaken the Prior Strength. IJCAI Cassio P. de Campos, Alessio Benavoli
2011	J	`jnl`	Optimal Flow Models for Multiscan Data Association. IEEE Trans. Aerosp. Electron. Syst. Giorgio Battistelli, Luigi Chisci, Francesco Papi, Alessio Benavoli, Alfonso Farina, Antonio Graziano
2011	J	`jnl`	Performance Measures and MHT for Tracking Move-Stop-Move Targets with MTI Sensors. IEEE Trans. Aerosp. Electron. Syst. Marcel L. Hernandez, Alessio Benavoli, Antonio Graziano, Alfonso Farina, Mark R. Morelande
2011	J	`jnl`	Robust Filtering Through Coherent Lower Previsions. IEEE Trans. Autom. Control. Alessio Benavoli, Marco Zaffalon, Enrique Miranda
2010	J	`jnl`	An aggregation framework based on coherent lower previsions: Application to Zadeh's paradox and sensor networks. Int. J. Approx. Reason. Alessio Benavoli, Alessandro Antonucci
2010	C	`conf`	Interval dominance based data association. FUSION Alessio Benavoli
2010	—	`conf`	Restricting the IDM for Classification. IPMU (1) Giorgio Corani, Alessio Benavoli
2009	J	`jnl`	Fibonacci sequence, golden section, Kalman filter and optimal control. Signal Process. Alessio Benavoli, Luigi Chisci, Alfonso Farina
2009	C	`conf`	Inference from Multinomial Data Based on a MLE-Dominance Criterion. ECSQARU Alessio Benavoli, Cassio P. de Campos
2009	C	`conf`	Multiple model tracking by imprecise markov trees. FUSION Alessandro Antonucci, Alessio Benavoli, Marco Zaffalon, Gert de Cooman, Filip Hermans
2009	C	`conf`	Reliable hidden Markov model filtering through coherent lower previsions. FUSION Alessio Benavoli, Marco Zaffalon, Enrique Miranda
2009	—	`conf`	State estimation in a centralized sensor network under limited communication rate. ECC Giorgio Battistelli, Alessio Benavoli, Luigi Chisci
2008	C	`conf`	Modelling uncertain implication rules in evidence theory. FUSION Alessio Benavoli, Luigi Chisci, Alfonso Farina, Branko Ristic
2007	C	`conf`	An approach to threat assessment based on evidential networks. FUSION Alessio Benavoli, Branko Ristic, Alfonso Farina, Martin Oxenham, Luigi Chisci
2007	J	`jnl`	Estimation of Constrained Parameters With Guaranteed MSE Improvement. IEEE Trans. Signal Process. Alessio Benavoli, Luigi Chisci, Alfonso Farina
2007	—	`conf`	Improved estimation for object localization via sensor networks. ICNSC Alessio Benavoli, Luigi Chisci