An approach to threat assessment based on evidential networks. - Alessio Benavoli; Branko Ristic 001; Alfonso Farina; Martin Oxenham; Luigi Chisci (FUSION, 2007)

Improved estimation for object localization via sensor networks. - Alessio Benavoli; Luigi Chisci (ICNSC, 2007)

Estimation of Constrained Parameters With Guaranteed MSE Improvement. - Alessio Benavoli; Luigi Chisci; Alfonso Farina (IEEE Trans. Signal Process., 2007)

Modelling uncertain implication rules in evidence theory. - Alessio Benavoli; Luigi Chisci; Alfonso Farina; Branko Ristic 001 (FUSION, 2008)

Inference from Multinomial Data Based on a MLE-Dominance Criterion. - Alessio Benavoli; Cassio P. de Campos (ECSQARU, 2009)

State estimation in a centralized sensor network under limited communication rate. - Giorgio Battistelli; Alessio Benavoli; Luigi Chisci (ECC, 2009)

Multiple model tracking by imprecise markov trees. - Alessandro Antonucci 001; Alessio Benavoli; Marco Zaffalon; Gert de Cooman; Filip Hermans (FUSION, 2009)

Reliable hidden Markov model filtering through coherent lower previsions. - Alessio Benavoli; Marco Zaffalon; Enrique Miranda 001 (FUSION, 2009)

Fibonacci sequence, golden section, Kalman filter and optimal control. - Alessio Benavoli; Luigi Chisci; Alfonso Farina (Signal Process., 2009)

Interval dominance based data association. - Alessio Benavoli (FUSION, 2010)

Restricting the IDM for Classification. - Giorgio Corani; Alessio Benavoli (IPMU (1), 2010)

An aggregation framework based on coherent lower previsions: Application to Zadeh's paradox and sensor networks. - Alessio Benavoli; Alessandro Antonucci 001 (Int. J. Approx. Reason., 2010)

Classification with imprecise likelihoods: A comparison of TBM, random set and imprecise probability approach. - Alessio Benavoli; Branko Ristic 001 (FUSION, 2011)

Inference with Multinomial Data: Why to Weaken the Prior Strength. - Cassio P. de Campos; Alessio Benavoli (IJCAI, 2011)

Robust Filtering Through Coherent Lower Previsions. - Alessio Benavoli; Marco Zaffalon; Enrique Miranda 001 (IEEE Trans. Autom. Control., 2011)

Optimal Flow Models for Multiscan Data Association. - Giorgio Battistelli; Luigi Chisci; Francesco Papi; Alessio Benavoli; Alfonso Farina; Antonio Graziano (IEEE Trans. Aerosp. Electron. Syst., 2011)

Performance Measures and MHT for Tracking Move-Stop-Move Targets with MTI Sensors. - Marcel L. Hernandez; Alessio Benavoli; Antonio Graziano; Alfonso Farina; Mark R. Morelande (IEEE Trans. Aerosp. Electron. Syst., 2011)

Belief Function Robustness in Estimation. - Alessio Benavoli (Belief Functions, 2012)

Data-driven strategies for selective data transmission in sensor networks. - Giorgio Battistelli; Alessio Benavoli; Luigi Chisci (CDC, 2012)

Pushing Kalman's idea to the extremes. - Alessio Benavoli; Benjamin Noack (FUSION, 2012)

Data-driven communication for state estimation with sensor networks. - Giorgio Battistelli; Alessio Benavoli; Luigi Chisci (Autom., 2012)

State estimation with remote sensors and intermittent transmissions. - Giorgio Battistelli; Alessio Benavoli; Luigi Chisci (Syst. Control. Lett., 2012)

Imprecise Hierarchical Dirichlet model with applications. - Alessio Benavoli (FUSION, 2013)

Set-membership PHD filter. - Alessio Benavoli; Francesco Papi (FUSION, 2013)

On the Complexity of Strong and Epistemic Credal Networks. - Denis Deratani Mauá; Cassio Polpo de Campos; Alessio Benavoli; Alessandro Antonucci 001 (UAI, 2013)

The Generalized Moment-Based Filter. - Alessio Benavoli (IEEE Trans. Autom. Control., 2013)

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. - Alessio Benavoli; Giorgio Corani; Francesca Mangili; Marco Zaffalon; Fabrizio Ruggeri 001 (ICML, 2014)

Belief function and multivalued mapping robustness in statistical estimation. - Alessio Benavoli (Int. J. Approx. Reason., 2014)

Probabilistic Inference in Credal Networks: New Complexity Results. - Denis Deratani Mauá; Cassio P. de Campos; Alessio Benavoli; Alessandro Antonucci 001 (J. Artif. Intell. Res., 2014)

Gaussian Processes for Bayesian hypothesis tests on regression functions. - Alessio Benavoli; Francesca Mangili (AISTATS, 2015)

A Bayesian nonparametric procedure for comparing algorithms. - Alessio Benavoli; Giorgio Corani; Francesca Mangili; Marco Zaffalon (ICML, 2015)

Statistical Tests for Joint Analysis of Performance Measures. - Alessio Benavoli; Cassio P. de Campos (AMBN@JSAI-isAI, 2015)

Bayesian Hypothesis Testing in Machine Learning. - Giorgio Corani; Alessio Benavoli; Francesca Mangili; Marco Zaffalon (ECML/PKDD (3), 2015)

A stochastic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding. - Alessio Benavoli; Dario Piga (CoRR, 2015)

New prior near-ignorance models on the simplex. - Francesca Mangili; Alessio Benavoli (Int. J. Approx. Reason., 2015)

A Bayesian approach for comparing cross-validated algorithms on multiple data sets. - Giorgio Corani; Alessio Benavoli (Mach. Learn., 2015)

Quantum Rational Preferences and Desirability. - Alessio Benavoli; Alessandro Facchini; Marco Zaffalon (IDM@NIPS, 2016)

A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding. - Alessio Benavoli; Dario Piga (Autom., 2016)

State Space representation of non-stationary Gaussian Processes. - Alessio Benavoli; Marco Zaffalon (CoRR, 2016)

Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables. - Alessio Benavoli; Cassio P. de Campos (Entropy, 2016)

Should We Really Use Post-Hoc Tests Based on Mean-Ranks? - Alessio Benavoli; Giorgio Corani; Francesca Mangili (J. Mach. Learn. Res., 2016)

SOS for Bounded Rationality. - Alessio Benavoli; Alessandro Facchini; Dario Piga; Marco Zaffalon (ISIPTA, 2017)

A Polarity Theory for Sets of Desirable Gambles. - Alessio Benavoli; Alessandro Facchini; Marco Zaffalon; José Vicente-Pérez (ISIPTA, 2017)

Introduction to the special issue on Bayesian Nonparametrics. - Alessio Benavoli; Antonio Lijoi; Antonietta Mira (Int. J. Approx. Reason., 2017)

Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis. - Alessio Benavoli; Giorgio Corani; Janez Demsar; Marco Zaffalon (J. Mach. Learn. Res., 2017)

Statistical comparison of classifiers through Bayesian hierarchical modelling. - Giorgio Corani; Alessio Benavoli; Janez Demsar; Francesca Mangili; Marco Zaffalon (Mach. Learn., 2017)

Joint Analysis of Multiple Algorithms and Performance Measures. - Cassio P. de Campos; Alessio Benavoli (New Gener. Comput., 2017)

A Unified Framework for Deterministic and Probabilistic $ mathscr {D}$-Stability Analysis of Uncertain Polynomial Matrices. - Dario Piga; Alessio Benavoli (IEEE Trans. Autom. Control., 2017)

Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering. - Dario Piga; Alessio Benavoli (ECC, 2019)

Bernstein's Socks, Polynomial-Time Provable Coherence and Entanglement. - Alessio Benavoli; Alessandro Facchini; Marco Zaffalon (ISIPTA, 2019)

Computational Complexity and the Nature of Quantum Mechanics (Extended version). - Alessio Benavoli; Alessandro Facchini; Marco Zaffalon (CoRR, 2019)

Computational Complexity and the Nature of Quantum Mechanics. - Alessio Benavoli; Alessandro Facchini; Marco Zaffalon (CoRR, 2019)

Sum-of-squares for bounded rationality. - Alessio Benavoli; Alessandro Facchini; Dario Piga; Marco Zaffalon (Int. J. Approx. Reason., 2019)

Joint Waveform and Guidance Control Optimization for Target Rendezvous. - Alessio Benavoli; Alessio Balleri; Alfonso Farina (IEEE Trans. Signal Process., 2019)

Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models. - Dario Piga; Alberto Bemporad; Alessio Benavoli (Autom., 2020)

Recursive estimation for sparse Gaussian process regression. - Manuel Schürch; Dario Azzimonti; Alessio Benavoli; Marco Zaffalon (Autom., 2020)

Orthogonally Decoupled Variational Fourier Features. - Dario Azzimonti; Manuel Schürch; Alessio Benavoli; Marco Zaffalon (CoRR, 2020)

Automatic Forecasting using Gaussian Processes. - Giorgio Corani; Alessio Benavoli; João P. S. C. Augusto; Marco Zaffalon (CoRR, 2020)

A tutorial on uncertainty modeling for machine reasoning. - Branko Ristic 001; Christopher Gilliam; Marion Byrne; Alessio Benavoli (Inf. Fusion, 2020)

Skew Gaussian processes for classification. - Alessio Benavoli; Dario Azzimonti; Dario Piga (Mach. Learn., 2020)

State Space Approximation of Gaussian Processes for Time Series Forecasting. - Alessio Benavoli; Giorgio Corani (AALTD@ECML/PKDD, 2021)

Bayesian Independence Test with Mixed-type Variables. - Alessio Benavoli; Cassio P. de Campos (DSAA, 2021)

Preferential Bayesian optimisation with skew gaussian processes. - Alessio Benavoli; Dario Azzimonti; Dario Piga (GECCO Companion, 2021)

Quantum Indistinguishability through Exchangeable Desirable Gambles. - Alessio Benavoli; Alessandro Facchini; Marco Zaffalon (ISIPTA, 2021)

Time Series Forecasting with Gaussian Processes Needs Priors. - Giorgio Corani; Alessio Benavoli; Marco Zaffalon (ECML/PKDD (4), 2021)

Sparse Information Filter for Fast Gaussian Process Regression. - Lucas Kania; Manuel Schürch; Dario Azzimonti; Alessio Benavoli (ECML/PKDD (3), 2021)

Bayesian Kernelised Test of (In)dependence with Mixed-type Variables. - Alessio Benavoli; Cassio P. de Campos (CoRR, 2021)

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing. - Mimi Zhang; Andrew Parnell; Dermot Brabazon; Alessio Benavoli (CoRR, 2021)

Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect. - Alessio Benavoli; Jason Wyse; Arthur J. White (CoRR, 2021)

Choice functions based multi-objective Bayesian optimisation. - Alessio Benavoli; Dario Azzimonti; Dario Piga (CoRR, 2021)

A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. - Alessio Benavoli; Dario Azzimonti; Dario Piga (Mach. Learn., 2021)

Quantum indistinguishability through exchangeability. - Alessio Benavoli; Alessandro Facchini; Marco Zaffalon (Int. J. Approx. Reason., 2022)

Bayesian Optimization For Choice Data. - Alessio Benavoli; Dario Azzimonti; Dario Piga (GECCO Companion, 2023)

Closure operators, classifiers and desirability. - Alessio Benavoli; Alessandro Facchini; Marco Zaffalon (ISIPTA, 2023)

Learning Choice Functions with Gaussian Processes. - Alessio Benavoli; Dario Azzimonti; Dario Piga (UAI, 2023)

Nonlinear desirability as a linear classification problem. - Arianna Casanova; Alessio Benavoli; Marco Zaffalon (Int. J. Approx. Reason., 2023)

Correlated product of experts for sparse Gaussian process regression. - Manuel Schürch; Dario Azzimonti; Alessio Benavoli; Marco Zaffalon (Mach. Learn., 2023)

A Reinforcement Learning System for Generating Instantaneous Quality Random Sequences. - Yahya Almardeny; Alessio Benavoli; Noureddine Boujnah; Enrique Naredo (IEEE Trans. Artif. Intell., 2023)

Robust target area search using sets of probabilities. - Branko Ristic 001; Alessio Benavoli; Alex Skvortsov (Digit. Signal Process., 2023)

Credal Valuation Network for Ongoing Threat Assessment. - Branko Ristic 001; Alessio Benavoli (FUSION, 2024)

Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability. - Alessio Benavoli; Dario Azzimonti (UAI, 2024)

A tutorial on learning from preferences and choices with Gaussian Processes. - Alessio Benavoli; Dario Azzimonti (CoRR, 2024)

Bayes' Rule Using Imprecise Probabilities [Lecture Notes]. - Branko Ristic 001; Alessio Benavoli; Sanjeev Arulampalam (IEEE Signal Process. Mag., 2024)

Credal Valuation Networks for Machine Reasoning Under Uncertainty. - Branko Ristic 001; Alessio Benavoli; Sanjeev Arulampalam (IEEE Trans. Artif. Intell., 2024)

The AI off-switch problem as a signalling game: bounded rationality and incomparability. - Alessio Benavoli; Alessandro Facchini; Marco Zaffalon (ISIPTA, 2025)

dynoGP: Deep Gaussian Processes for dynamic system identification. - Alessio Benavoli; Dario Piga; Marco Forgione; Marco Zaffalon (CoRR, 2025)