Alessio Benavoli

发表

New prior near-ignorance models on the simplex

Francesca Mangili, Alessio Benavoli, A. Benavoli, 2015, Int. J. Approx. Reason..

Imprecise Hierarchical Dirichlet model with applications

Alessio Benavoli, 2013, Proceedings of the 16th International Conference on Information Fusion.

Joint Waveform and Guidance Control Optimization for Target Rendezvous

Alessio Balleri, Alessio Benavoli, Alfonso Farina, 2019, IEEE Transactions on Signal Processing.

A Bayesian approach for comparing cross-validated algorithms on multiple data sets

Alessio Benavoli, Giorgio Corani, Giorgio Corani, 2015, Machine Learning.

Inference with Multinomial Data: Why to Weaken the Prior Strength

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2011, IJCAI.

A tutorial on uncertainty modeling for machine reasoning

Branko Ristic, Alessio Benavoli, Christopher Gilliam, 2020, Inf. Fusion.

Sum-of-squares for bounded rationality

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2019, Int. J. Approx. Reason..

State estimation in a centralized sensor network under limited communication rate

Giorgio Battistelli, Luigi Chisci, Alessio Benavoli, 2009, 2009 European Control Conference (ECC).

Robust Filtering Through Coherent Lower Previsions

Marco Zaffalon, Alessio Benavoli, Enrique Miranda, 2011, IEEE Transactions on Automatic Control.

Joint Analysis of Multiple Algorithms and Performance Measures

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2016, New Generation Computing.

Data-driven communication for state estimation with sensor networks

Giorgio Battistelli, Luigi Chisci, Alessio Benavoli, 2012, Autom..

Data for: A tutorial on uncertainty modeling for machine reasoning

Branko Ristic, Alessio Benavoli, Christopher Gilliam, 2019 .

Modelling uncertain implication rules in evidence theory

Luigi Chisci, Branko Ristic, Alessio Benavoli, 2008, 2008 11th International Conference on Information Fusion.

Restricting the IDM for Classification

Alessio Benavoli, Giorgio Corani, Giorgio Corani, 2010, IPMU.

State Estimation in a Sensor Network under Bandwidth Constraints

Giorgio Battistelli, Luigi Chisci, Alessio Benavoli, 2009 .

Computational Complexity and the Nature of Quantum Mechanics (Extended version) pdf

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2019, ArXiv.

A Bayesian nonparametric procedure for comparing algorithms

Marco Zaffalon, Francesca Mangili, Alessio Benavoli, 2015, ICML.

Modelling Uncertain Implication Rules Theory

Luigi Chisci, Branko Ristic, Alessio Benavoli, 2014 .

A Unified Framework for Deterministic and Probabilistic $\mathscr {D}$-Stability Analysis of Uncertain Polynomial Matrices

Alessio Benavoli, Dario Piga, D. Piga, 2016, IEEE Transactions on Automatic Control.

Fibonacci sequence, golden section, Kalman filter and optimal control

Luigi Chisci, Alessio Benavoli, Alfonso Farina, 2009, Signal Process..

Statistical comparison of classifiers through Bayesian hierarchical modelling

Marco Zaffalon, Francesca Mangili, Alessio Benavoli, 2016, Machine Learning.

Towards optimal energy-quality tradeoff in tracking via sensor networks

Luigi Chisci, Alessio Benavoli, 2007, 2007 European Control Conference (ECC).

A Polarity Theory for Sets of Desirable Gambles

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2017, ISIPTA.

Introduction to the special issue on Bayesian Nonparametrics

Alessio Benavoli, Antonio Lijoi, Antonietta Mira, 2017, Int. J. Approx. Reason..

Classification with imprecise likelihoods: A comparison of TBM, random set and imprecise probability approach

Branko Ristic, Alessio Benavoli, 2011, 14th International Conference on Information Fusion.

Modelling Uncertain Implication Rulees Theory in Evidence

Luigi Chisci, Branko Ristic, Alessio Benavoli, 2015 .

Quantum Rational Preferences and Desirability

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2016, IDM@NIPS.

Estimation of Constrained Parameters With Guaranteed MSE Improvement

Luigi Chisci, Alessio Benavoli, Alfonso Farina, 2007, IEEE Transactions on Signal Processing.

Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2016, Entropy.

Reliable hidden Markov model filtering through coherent lower previsions

Marco Zaffalon, Alessio Benavoli, Enrique Miranda, 2009, 2009 12th International Conference on Information Fusion.

Improved estimation for object localization via sensor networks

Luigi Chisci, Alessio Benavoli, 2007, 2007 IEEE International Conference on Networking, Sensing and Control.

A stochastic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding pdf

Alessio Benavoli, Dario Piga, D. Piga, 2015, ArXiv.

Belief Function Robustness in Estimation

Alessio Benavoli, 2012, Belief Functions.

Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering

Alessio Benavoli, Dario Piga, D. Piga, 2019, 2019 18th European Control Conference (ECC).

Knowledge‐Based Radar Tracking

Luigi Chisci, L. Timmoneri, Alessio Benavoli, 2007 .

The Generalized Moment-Based Filter

Alessio Benavoli, A. Benavoli, 2013, IEEE Transactions on Automatic Control.

Design and development of a signal and data processor test bed for a passive radar in the FM band

Luigi Chisci, A. Farina, L. Timmoneri, 2007 .

Orthogonally Decoupled Variational Fourier Features pdf

Marco Zaffalon, Alessio Benavoli, Dario Azzimonti, 2020, ArXiv.

Optimal Flow Models for Multiscan Data Association

Giorgio Battistelli, Luigi Chisci, Alessio Benavoli, 2011, IEEE Transactions on Aerospace and Electronic Systems.

Skew Gaussian processes for classification pdf

Alessio Benavoli, Dario Piga, Dario Azzimonti, 2020, Machine Learning.

A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes pdf

Alessio Benavoli, Dario Piga, Dario Azzimonti, 2020, Machine Learning.

Should We Really Use Post-Hoc Tests Based on Mean-Ranks?

Francesca Mangili, Alessio Benavoli, Giorgio Corani, 2015, J. Mach. Learn. Res..

Data-driven strategies for selective data transmission in sensor networks

Giorgio Battistelli, Luigi Chisci, Alessio Benavoli, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Statistical Tests for Joint Analysis of Performance Measures

Alessio Benavoli, Cassio Polpo de Campos, 2015, AMBN@JSAI-isAI.

Bernstein's Socks, Polynomial-Time Provable Coherence and Entanglement

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2019, ISIPTA.

On the Complexity of Strong and Epistemic Credal Networks pdf

Denis Deratani Mauá, Alessio Benavoli, Alessandro Antonucci, 2013, UAI.

Multiple model tracking by imprecise markov trees

Gert de Cooman, Filip Hermans, Marco Zaffalon, 2009, 2009 12th International Conference on Information Fusion.

Computational Complexity and the Nature of Quantum Mechanics pdf

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2019, ArXiv.

An approach to threat assessment based on evidential networks

Luigi Chisci, Branko Ristic, Alessio Benavoli, 2007, 2007 10th International Conference on Information Fusion.

Set-membership PHD filter

Alessio Benavoli, Francesco Papi, F. Papi, 2013, Proceedings of the 16th International Conference on Information Fusion.

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process

Marco Zaffalon, Francesca Mangili, Alessio Benavoli, 2014, ICML.

State estimation with remote sensors and intermittent transmissions

Giorgio Battistelli, Luigi Chisci, Alessio Benavoli, 2012, Syst. Control. Lett..

Interval dominance based data association

Alessio Benavoli, 2010, 2010 13th International Conference on Information Fusion.

Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis pdf

Marco Zaffalon, Alessio Benavoli, Janez Demsar, 2016, J. Mach. Learn. Res..

Inference from Multinomial Data Based on a MLE-Dominance Criterion

Alessio Benavoli, Cassio Polpo de Campos, Cassio Polpo de Campos, 2009, ECSQARU.

SOS for Bounded Rationality

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2017, ISIPTA.

Preferential Bayesian optimisation with skew gaussian processes pdf

Alessio Benavoli, Dario Piga, Dario Azzimonti, 2020, GECCO Companion.

Gaussian Processes for Bayesian hypothesis tests on regression functions

Francesca Mangili, Alessio Benavoli, A. Benavoli, 2015, AISTATS.

A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding

Alessio Benavoli, Dario Piga, D. Piga, 2015, Autom..

State Space representation of non-stationary Gaussian Processes pdf

Marco Zaffalon, Alessio Benavoli, 2016, ArXiv.

Pushing Kalman's idea to the extremes

Alessio Benavoli, Benjamin Noack, 2012, 2012 15th International Conference on Information Fusion.

Bayesian Hypothesis Testing in Machine Learning

Marco Zaffalon, Francesca Mangili, Alessio Benavoli, 2015, ECML/PKDD.

Belief function and multivalued mapping robustness in statistical estimation

Alessio Benavoli, 2014, Int. J. Approx. Reason..

State Estimation with Remote Sensors and Data-Driven Communication

Giorgio Battistelli, Luigi Chisci, Alessio Benavoli, 2009 .

Improved estimation forobject localization viasensor networks

Alessio Benavoli, 2007 .

An aggregation framework based on coherent lower previsions: Application to Zadeh's paradox and sensor networks

Alessio Benavoli, Alessandro Antonucci, 2010, Int. J. Approx. Reason..

Recursive Estimation for Sparse Gaussian Process Regression pdf

Marco Zaffalon, Alessio Benavoli, Dario Azzimonti, 2019, Autom..

Automatic Forecasting using Gaussian Processes pdf

Marco Zaffalon, Alessio Benavoli, Giorgio Corani, 2020, ArXiv.

Probabilistic Inference in Credal Networks: New Complexity Results

Denis Deratani Mauá, Alessio Benavoli, Alessandro Antonucci, 2014, J. Artif. Intell. Res..

Performance Measures and MHT for Tracking Move-Stop-Move Targets with MTI Sensors

Mark R. Morelande, Alessio Benavoli, Alfonso Farina, 2011, IEEE Transactions on Aerospace and Electronic Systems.

A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes

Alessio Benavoli, Dario Piga, Dario Azzimonti, 2021, Mach. Learn..

A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes

Alessio Benavoli, Dario Piga, Dario Azzimonti, 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA).

Sparse Information Filter for Fast Gaussian Process Regression

Alessio Benavoli, Dario Azzimonti, Manuel Schürch, 2021, ECML/PKDD.

Bayesian Kernelised Test of (In)dependence with Mixed-type Variables pdf

Alessio Benavoli, Cassio de Campos, 2021, ArXiv.

Preferential Bayesian optimisation with skew gaussian processes

Alessio Benavoli, Dario Piga, Dario Azzimonti, 2021, GECCO Companion.

State Space Approximation of Gaussian Processes for Time Series Forecasting

Alessio Benavoli, Giorgio Corani, Giorgio Corani, 2021, AALTD@ECML/PKDD.

Time Series Forecasting with Gaussian Processes Needs Priors

Marco Zaffalon, Alessio Benavoli, Giorgio Corani, 2021, ECML/PKDD.

Bayesian Independence Test with Mixed-type Variables

Alessio Benavoli, Cassio P. de Campos, 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA).

Quantum Indistinguishability through Exchangeable Desirable Gambles

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2021, ISIPTA.

Marco Zaffalon, Alessio Benavoli, Dario Azzimonti, 2021, Machine Learning.

Nonlinear Desirability as a Linear Classification Problem

Marco Zaffalon, Alessio Benavoli, Arianna Casanova, 2022, ISIPTA.

Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect pdf

Alessio Benavoli, Jason Wyse, Arthur White, 2021, ArXiv.

The Weirdness Theorem and the Origin of Quantum Paradoxes

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2021, Foundations of Physics.

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing pdf

Alessio Benavoli, Dermot Brabazon, Mimi Zhang, 2021, ArXiv.

Choice functions based multi-objective Bayesian optimisation pdf

Alessio Benavoli, Dario Piga, Dario Azzimonti, 2021, ArXiv.

Robust Stochastic Control Based on Imprecise Probabilities

Luigi Chisci, Alessio Benavoli, 2011 .

Prior near ignorance for inferences in the k-parameter exponential family

Marco Zaffalon, Alessio Benavoli, Marco Zaffalon, 2015 .

Density-ratio robustness in dynamic state estimation

Marco Zaffalon, Alessio Benavoli, 2013 .

Quantum mechanics: The Bayesian theory generalized to the space of Hermitian matrices

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2016, 1605.08177.

Imprecise Dirichlet Process With Application to the Hypothesis Test on the Probability That X ≤ Y

Marco Zaffalon, Francesca Mangili, Alessio Benavoli, 2014 .

A Model of Prior Ignorance for Inferences in the One-parameter Exponential Family

Marco Zaffalon, Alessio Benavoli, Marco Zaffalon, 2012 .

Aggregating Imprecise Probabilistic Knowledge

Alessio Benavoli, Alessandro Antonucci, 2009 .

A Gleason-Type Theorem for Any Dimension Based on a Gambling Formulation of Quantum Mechanics

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2016, Foundations of Physics.

Aprobabilistic interpretationof set-membershipfiltering : application to polynomial systems throughpolytopic bounding ⋆

Alessio Benavoli, Dario Piga, D. Piga, 2016 .