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Alessio Benavoli
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2020 – today
- 2024
- [j35]Branko Ristic, Alessio Benavoli, Sanjeev Arulampalam:
Bayes' Rule Using Imprecise Probabilities [Lecture Notes]. IEEE Signal Process. Mag. 41(1): 67-71 (2024) - [j34]Branko Ristic, Alessio Benavoli, Sanjeev Arulampalam:
Credal Valuation Networks for Machine Reasoning Under Uncertainty. IEEE Trans. Artif. Intell. 5(1): 51-60 (2024) - [c39]Branko Ristic, Alessio Benavoli:
Credal Valuation Network for Ongoing Threat Assessment. FUSION 2024: 1-7 - [i22]Alessio Benavoli, Dario Azzimonti:
A tutorial on learning from preferences and choices with Gaussian Processes. CoRR abs/2403.11782 (2024) - 2023
- [j33]Branko Ristic, Alessio Benavoli, Alex Skvortsov:
Robust target area search using sets of probabilities. Digit. Signal Process. 142: 104195 (2023) - [j32]Arianna Casanova, Alessio Benavoli, Marco Zaffalon:
Nonlinear desirability as a linear classification problem. Int. J. Approx. Reason. 152: 1-32 (2023) - [j31]Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Correlated product of experts for sparse Gaussian process regression. Mach. Learn. 112(5): 1411-1432 (2023) - [j30]Yahya Almardeny, Alessio Benavoli, Noureddine Boujnah, Enrique Naredo:
A Reinforcement Learning System for Generating Instantaneous Quality Random Sequences. IEEE Trans. Artif. Intell. 4(3): 402-415 (2023) - [c38]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Bayesian Optimization For Choice Data. GECCO Companion 2023: 2272-2279 - [c37]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Closure operators, classifiers and desirability. ISIPTA 2023: 25-36 - [c36]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Learning Choice Functions with Gaussian Processes. UAI 2023: 141-151 - [i21]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Learning Choice Functions with Gaussian Processes. CoRR abs/2302.00406 (2023) - 2022
- [j29]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Quantum indistinguishability through exchangeability. Int. J. Approx. Reason. 151: 389-412 (2022) - [i20]Branko Ristic, Alessio Benavoli, Sanjeev Arulampalam:
Credal Valuation Networks for Machine Reasoning Under Uncertainty. CoRR abs/2208.02443 (2022) - 2021
- [j28]Alessio Benavoli, Dario Azzimonti, Dario Piga:
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. Mach. Learn. 110(11): 3095-3133 (2021) - [c35]Alessio Benavoli, Giorgio Corani:
State Space Approximation of Gaussian Processes for Time Series Forecasting. AALTD@ECML/PKDD 2021: 21-35 - [c34]Alessio Benavoli, Dario Azzimonti, Dario Piga:
A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes. DSAA 2021: 1-2 - [c33]Alessio Benavoli, Cassio P. de Campos:
Bayesian Independence Test with Mixed-type Variables. DSAA 2021: 1-13 - [c32]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Preferential Bayesian optimisation with skew gaussian processes. GECCO Companion 2021: 1842-1850 - [c31]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Quantum Indistinguishability through Exchangeable Desirable Gambles. ISIPTA 2021: 22-31 - [c30]Arianna Casanova, Alessio Benavoli, Marco Zaffalon:
Nonlinear Desirability as a Linear Classification Problem. ISIPTA 2021: 61-71 - [c29]Giorgio Corani, Alessio Benavoli, Marco Zaffalon:
Time Series Forecasting with Gaussian Processes Needs Priors. ECML/PKDD (4) 2021: 103-117 - [c28]Lucas Kania, Manuel Schürch, Dario Azzimonti, Alessio Benavoli:
Sparse Information Filter for Fast Gaussian Process Regression. ECML/PKDD (3) 2021: 527-542 - [i19]Alessio Benavoli, Cassio P. de Campos:
Bayesian Kernelised Test of (In)dependence with Mixed-type Variables. CoRR abs/2105.04001 (2021) - [i18]Mimi Zhang, Andrew Parnell, Dermot Brabazon, Alessio Benavoli:
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing. CoRR abs/2107.12809 (2021) - [i17]Alessio Benavoli, Jason Wyse, Arthur J. White:
Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect. CoRR abs/2109.13891 (2021) - [i16]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Choice functions based multi-objective Bayesian optimisation. CoRR abs/2110.08217 (2021) - [i15]Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Correlated Product of Experts for Sparse Gaussian Process Regression. CoRR abs/2112.09519 (2021) - 2020
- [j27]Dario Piga, Alberto Bemporad, Alessio Benavoli:
Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models. Autom. 117: 109002 (2020) - [j26]Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Recursive estimation for sparse Gaussian process regression. Autom. 120: 109127 (2020) - [j25]Branko Ristic, Christopher Gilliam, Marion Byrne, Alessio Benavoli:
A tutorial on uncertainty modeling for machine reasoning. Inf. Fusion 55: 30-44 (2020) - [j24]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Skew Gaussian processes for classification. Mach. Learn. 109(9-10): 1877-1902 (2020) - [i14]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Skew Gaussian Processes for Classification. CoRR abs/2005.12987 (2020) - [i13]Dario Azzimonti, Manuel Schürch, Alessio Benavoli, Marco Zaffalon:
Orthogonally Decoupled Variational Fourier Features. CoRR abs/2007.06363 (2020) - [i12]Alessio Benavoli, Dario Azzimonti, Dario Piga:
Preferential Bayesian optimisation with Skew Gaussian Processes. CoRR abs/2008.06677 (2020) - [i11]Giorgio Corani, Alessio Benavoli, João P. S. C. Augusto, Marco Zaffalon:
Automatic Forecasting using Gaussian Processes. CoRR abs/2009.08102 (2020) - [i10]Alessio Benavoli, Dario Azzimonti, Dario Piga:
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. CoRR abs/2012.06846 (2020)
2010 – 2019
- 2019
- [j23]Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon:
Sum-of-squares for bounded rationality. Int. J. Approx. Reason. 105: 130-152 (2019) - [j22]Alessio Benavoli, Alessio Balleri, Alfonso Farina:
Joint Waveform and Guidance Control Optimization for Target Rendezvous. IEEE Trans. Signal Process. 67(16): 4357-4369 (2019) - [c27]Dario Piga, Alessio Benavoli:
Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering. ECC 2019: 400-405 - [c26]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Bernstein's Socks, Polynomial-Time Provable Coherence and Entanglement. ISIPTA 2019: 23-31 - [i9]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Computational Complexity and the Nature of Quantum Mechanics (Extended version). CoRR abs/1902.03513 (2019) - [i8]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Computational Complexity and the Nature of Quantum Mechanics. CoRR abs/1902.04569 (2019) - [i7]Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Recursive Estimation for Sparse Gaussian Process Regression. CoRR abs/1905.11711 (2019) - 2017
- [j21]Alessio Benavoli, Antonio Lijoi, Antonietta Mira:
Introduction to the special issue on Bayesian Nonparametrics. Int. J. Approx. Reason. 83: 193-195 (2017) - [j20]Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon:
Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis. J. Mach. Learn. Res. 18: 77:1-77:36 (2017) - [j19]Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon:
Statistical comparison of classifiers through Bayesian hierarchical modelling. Mach. Learn. 106(11): 1817-1837 (2017) - [j18]Cassio P. de Campos, Alessio Benavoli:
Joint Analysis of Multiple Algorithms and Performance Measures. New Gener. Comput. 35(1): 69-86 (2017) - [j17]Dario Piga, Alessio Benavoli:
A Unified Framework for Deterministic and Probabilistic $\mathscr {D}$-Stability Analysis of Uncertain Polynomial Matrices. IEEE Trans. Autom. Control. 62(10): 5437-5444 (2017) - [c25]Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon:
SOS for Bounded Rationality. ISIPTA 2017: 25-36 - [c24]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon, José Vicente-Pérez:
A Polarity Theory for Sets of Desirable Gambles. ISIPTA 2017: 37-48 - 2016
- [j16]Alessio Benavoli, Dario Piga:
A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding. Autom. 70: 158-172 (2016) - [j15]Alessio Benavoli, Cassio P. de Campos:
Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables. Entropy 18(9): 326 (2016) - [j14]Alessio Benavoli, Giorgio Corani, Francesca Mangili:
Should We Really Use Post-Hoc Tests Based on Mean-Ranks? J. Mach. Learn. Res. 17: 5:1-5:10 (2016) - [c23]Alessio Benavoli, Alessandro Facchini, Marco Zaffalon:
Quantum Rational Preferences and Desirability. IDM@NIPS 2016: 87-96 - [i6]Alessio Benavoli, Marco Zaffalon:
State Space representation of non-stationary Gaussian Processes. CoRR abs/1601.01544 (2016) - [i5]Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon:
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. CoRR abs/1606.04316 (2016) - [i4]Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon:
Statistical comparison of classifiers through Bayesian hierarchical modelling. CoRR abs/1609.08905 (2016) - 2015
- [j13]Francesca Mangili, Alessio Benavoli:
New prior near-ignorance models on the simplex. Int. J. Approx. Reason. 56: 278-306 (2015) - [j12]Giorgio Corani, Alessio Benavoli:
A Bayesian approach for comparing cross-validated algorithms on multiple data sets. Mach. Learn. 100(2-3): 285-304 (2015) - [c22]Alessio Benavoli, Francesca Mangili:
Gaussian Processes for Bayesian hypothesis tests on regression functions. AISTATS 2015 - [c21]Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon:
A Bayesian nonparametric procedure for comparing algorithms. ICML 2015: 1264-1272 - [c20]Alessio Benavoli, Cassio P. de Campos:
Statistical Tests for Joint Analysis of Performance Measures. AMBN@JSAI-isAI 2015: 76-92 - [c19]Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon:
Bayesian Hypothesis Testing in Machine Learning. ECML/PKDD (3) 2015: 199-202 - [i3]Alessio Benavoli, Dario Piga:
A stochastic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding. CoRR abs/1505.01034 (2015) - [i2]Alessio Benavoli, Giorgio Corani, Francesca Mangili:
Should we really use post-hoc tests based on mean-ranks? CoRR abs/1505.02288 (2015) - 2014
- [j11]Alessio Benavoli:
Belief function and multivalued mapping robustness in statistical estimation. Int. J. Approx. Reason. 55(1): 311-329 (2014) - [j10]Denis Deratani Mauá, Cassio P. de Campos, Alessio Benavoli, Alessandro Antonucci:
Probabilistic Inference in Credal Networks: New Complexity Results. J. Artif. Intell. Res. 50: 603-637 (2014) - [c18]Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri:
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. ICML 2014: 1026-1034 - 2013
- [j9]Alessio Benavoli:
The Generalized Moment-Based Filter. IEEE Trans. Autom. Control. 58(10): 2642-2647 (2013) - [c17]Alessio Benavoli, Francesco Papi:
Set-membership PHD filter. FUSION 2013: 1722-1729 - [c16]Alessio Benavoli:
Imprecise Hierarchical Dirichlet model with applications. FUSION 2013: 1918-1925 - [c15]Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci:
On the Complexity of Strong and Epistemic Credal Networks. UAI 2013 - [i1]Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci:
On the Complexity of Strong and Epistemic Credal Networks. CoRR abs/1309.6845 (2013) - 2012
- [j8]Giorgio Battistelli, Alessio Benavoli, Luigi Chisci:
Data-driven communication for state estimation with sensor networks. Autom. 48(5): 926-935 (2012) - [j7]Giorgio Battistelli, Alessio Benavoli, Luigi Chisci:
State estimation with remote sensors and intermittent transmissions. Syst. Control. Lett. 61(1): 155-164 (2012) - [c14]Alessio Benavoli:
Belief Function Robustness in Estimation. Belief Functions 2012: 375-383 - [c13]Giorgio Battistelli, Alessio Benavoli, Luigi Chisci:
Data-driven strategies for selective data transmission in sensor networks. CDC 2012: 800-805 - [c12]Alessio Benavoli, Benjamin Noack:
Pushing Kalman's idea to the extremes. FUSION 2012: 1202-1209 - 2011
- [j6]Alessio Benavoli, Marco Zaffalon, Enrique Miranda:
Robust Filtering Through Coherent Lower Previsions. IEEE Trans. Autom. Control. 56(7): 1567-1581 (2011) - [j5]Marcel L. Hernandez, Alessio Benavoli, Antonio Graziano, Alfonso Farina, Mark R. Morelande:
Performance Measures and MHT for Tracking Move-Stop-Move Targets with MTI Sensors. IEEE Trans. Aerosp. Electron. Syst. 47(2): 996-1025 (2011) - [j4]Giorgio Battistelli, Luigi Chisci, Francesco Papi, Alessio Benavoli, Alfonso Farina, Antonio Graziano:
Optimal Flow Models for Multiscan Data Association. IEEE Trans. Aerosp. Electron. Syst. 47(4): 2405-2422 (2011) - [c11]Alessio Benavoli, Branko Ristic:
Classification with imprecise likelihoods: A comparison of TBM, random set and imprecise probability approach. FUSION 2011: 1-8 - [c10]Cassio P. de Campos, Alessio Benavoli:
Inference with Multinomial Data: Why to Weaken the Prior Strength. IJCAI 2011: 2107-2112 - 2010
- [j3]Alessio Benavoli, Alessandro Antonucci:
An aggregation framework based on coherent lower previsions: Application to Zadeh's paradox and sensor networks. Int. J. Approx. Reason. 51(9): 1014-1028 (2010) - [c9]Alessio Benavoli:
Interval dominance based data association. FUSION 2010: 1-8 - [c8]Giorgio Corani, Alessio Benavoli:
Restricting the IDM for Classification. IPMU (1) 2010: 328-337
2000 – 2009
- 2009
- [j2]Alessio Benavoli, Luigi Chisci, Alfonso Farina:
Fibonacci sequence, golden section, Kalman filter and optimal control. Signal Process. 89(8): 1483-1488 (2009) - [c7]Alessio Benavoli, Cassio P. de Campos:
Inference from Multinomial Data Based on a MLE-Dominance Criterion. ECSQARU 2009: 22-33 - [c6]Giorgio Battistelli, Alessio Benavoli, Luigi Chisci:
State estimation in a centralized sensor network under limited communication rate. ECC 2009: 4865-4870 - [c5]Alessio Benavoli, Marco Zaffalon, Enrique Miranda:
Reliable hidden Markov model filtering through coherent lower previsions. FUSION 2009: 1743-1750 - [c4]Alessandro Antonucci, Alessio Benavoli, Marco Zaffalon, Gert de Cooman, Filip Hermans:
Multiple model tracking by imprecise markov trees. FUSION 2009: 1767-1774 - 2008
- [c3]Alessio Benavoli, Luigi Chisci, Alfonso Farina, Branko Ristic:
Modelling uncertain implication rules in evidence theory. FUSION 2008: 1-7 - 2007
- [j1]Alessio Benavoli, Luigi Chisci, Alfonso Farina:
Estimation of Constrained Parameters With Guaranteed MSE Improvement. IEEE Trans. Signal Process. 55(4): 1264-1274 (2007) - [c2]Alessio Benavoli, Branko Ristic, Alfonso Farina, Martin Oxenham, Luigi Chisci:
An approach to threat assessment based on evidential networks. FUSION 2007: 1-8 - [c1]Alessio Benavoli, Luigi Chisci:
Improved estimation for object localization via sensor networks. ICNSC 2007: 302-306
Coauthor Index
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last updated on 2024-10-25 20:12 CEST by the dblp team
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