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Sorted By: Year descending |
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2026 |
Alessio Benavoli, Felix Binder |
Quantum Wiener architecture for quantum reservoir computing Physics Review A, 114(1), pp012433. DOI: https://doi.org/10.1103/ktt8-l2tw |
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2026 |
Alessio Benavoli, Dario Azzimonti |
A tutorial on learning from preferences and choices with Gaussian processes Foundations and Trends® in Machine Learning, 19(1), pp1-120. DOI: https://doi.org/10.1108/ftmal-03-2025-0124 |
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2026 |
Fiona Murphy and Alessio Benavoli |
Constraint- and Score-Based Nonlinear Granger Causality Discovery with Kernels Machine Learning, 115(7), pp150. DOI: http://dx.doi.org/10.1007/s10994-026-07093-z |
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2025 |
Fiona Murphy and Marina Navas Bachiller and Deirdre D'Arcy and Alessio Benavoli |
Gaussian process with dissolution spline kernel for in vitro dissolution testing Journal of the Royal Statistical Society Series C: Applied Statistics. DOI: http://dx.doi.org/10.1093/jrsssc/qlaf052 |
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2025 |
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon |
Connecting classical finite exchangeability to quantum theory and indistinguishability International Journal of Approximate Reasoning, pp109604. DOI: https://doi.org/10.1016/j.ijar.2025.109604 |
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2025 |
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon |
The AI off-switch problem as a signalling game: bounded rationality and incomparability International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA), 290, pp1--11 |
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2024 |
Branko Ristic and Alessio Benavoli and Sanjeev Arulampalam |
Bayes' Rule Using Imprecise Probabilities [Lecture Notes] IEEE Signal Processing Magazine, 41(1), pp67-71. DOI: http://dx.doi.org/10.1109/MSP.2023.3335893 |
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2024 |
Branko Ristic and Alessio Benavoli |
Credal Valuation Network for Ongoing Threat Assessment International Conference on Information Fusion (FUSION), pp1--7. DOI: https://doi.org/10.23919/fusion59988.2024.10706493 |
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2024 |
Alessio Benavoli and Dario Azzimonti |
Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability Conference on Uncertainty in Artificial Intelligence (UAI) |
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2024 |
James Waterson, Arash Negahdari Kia, Stuart Rolt, Norma Bargary, Samuel Garcia, Jeremy Robertson, Alessio Benavoli, David Bergström, Kevin Burke |
Predictive models for intravenous infusion longevity via infusion pump event log analysis Journal of Critical Care, 81, pp154577-154577. DOI: https://doi.org/10.1016/j.jcrc.2024.154577 |
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2023 |
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon |
Closure operators, classifiers and desirability International Symposium on Imprecise Probability: Theories and Applications (ISIPTA) |
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2023 |
Arianna Casanova and Alessio Benavoli and Marco Zaffalon |
Nonlinear desirability as a linear classification problem International Journal of Approximate Reasoning, 152, pp1-32. DOI: https://doi.org/10.1016/j.ijar.2022.10.008 |
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2023 |
Ristic, Branko and Benavoli, Alessio and Arulampalam, Sanjeev |
Credal Valuation Networks for Machine Reasoning Under Uncertainty IEEE Transactions on Artificial Intelligence, pp1-10. DOI: http://dx.doi.org/10.1109/TAI.2023.3247971 |
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2023 |
Alessio Benavoli and Dario Azzimonti and Dario Piga |
Bayesian Optimization For Choice Data International Journal of Approximate Reasoning. DOI: http://dx.doi.org/10.1145/3583133.3596324 |
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2023 |
Branko Ristic and Alessio Benavoli and Alex Skvortsov |
Robust target area search using sets of probabilities Digital Signal Processing, 142, pp104195. DOI: https://doi.org/10.1016/j.dsp.2023.104195 |
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2023 |
Alessio Benavoli and Dario Azzimonti and Dario Piga |
Learning Choice Functions with Gaussian Processes Conference on Uncertainty in Artificial Intelligence (UAI), 216, pp141--151 |
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2023 |
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. DOI: http://dx.doi.org/10.2196/48628 |
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2022 |
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, pp1-1. DOI: http://dx.doi.org/10.1109/TAI.2022.3161893 |
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2022 |
Manuel Schuerch and Dario Azzimonti and Alessio Benavoli and Marco Zaffalon |
Correlated Product of Experts for Sparse Gaussian Process Regression Machine Learning. DOI: http://dx.doi.org/10.1007/s10994-022-06297-3 |
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2022 |
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon |
Quantum indistinguishability through exchangeability International Journal of Approximate Reasoning, 151, pp389-412. DOI: https://doi.org/10.1016/j.ijar.2022.10.003 |
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2022 |
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), pp747-759. DOI: https://doi.org/10.70252/djtu3106 |
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2021 |
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 |
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2021 |
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. DOI: http://dx.doi.org/10.1007/s10994-021-06039-x |
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2021 |
Alessio Benavoli and Dario Azzimonti and Dario Piga |
Preferential Bayesian optimisation with Skew Gaussian Processes arXiv preprint arXiv:2008.06677. DOI: http://dx.doi.org/10.1145/3449726.3463128 |
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2021 |
Alessio Benavoli and Dario Azzimonti and Dario Piga |
Preferential Bayesian optimisation with Skew Gaussian Processes Genetic and Evolutionary Computation Conference Companion (GECCO). DOI: http://dx.doi.org/10.1145/3449726.3463128 |
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2021 |
Kania, Lucas and Schürch, Manuel and Azzimonti, Dario and Benavoli, Alessio |
Sparse Information Filter for Fast Gaussian Process Regression mation Filter for Fast Gaussian Process Regression, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML PKDD. DOI: https://doi.org/10.1007/978-3-030-86523-8_32 |
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2021 |
Benavoli, Alessio and Corani, Giorgio |
State Space approximation of Gaussian Processes for time series forecasting |
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2021 |
Alessio Benavoli and Cassio de Campos |
Bayesian Kernelised Test of (In)dependence with Mixed-type Variables IEEE International Conference on Data Science and Advanced Analytics (DSAA) |
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2021 |
Casanova, Arianna and Benavoli, Alessio and Zaffalon, Marco |
Nonlinear Desirability as a Linear Classification Problem International Symposium on Imprecise Probability: Theories and Applications (ISIPTA) |
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2021 |
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon |
Quantum indistinguishability through exchangeable desirable gambles International Symposium on Imprecise Probability: Theories and Applications (ISIPTA) |
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2021 |
Benavoli A., Wyse J. and White A. |
Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect PROBPROG |
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2021 |
Benavoli , Alessio and Facchini, Alessandro and Zaffalon, Marco |
The Weirdness Theorem and the Origin of Quantum Paradoxes Foundations of Physics, 51(95). DOI: http://dx.doi.org/10.1007/s10701-021-00499-w |
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2021 |
Alessio Benavoli and Alessio Balleri and Alfonso Farina |
Joint Waveform and Guidance Control Optimization by Statistical Linearisation for Target Rendezvous IEEE Radar Conference. DOI: https://doi.org/10.1109/radarconf2147009.2021.9455343 |
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2021 |
Benavoli, Alessio and Corani, Giorgio |
State Space Approximation of Gaussian Processes for Time Series Forecasting European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp21--35. DOI: https://doi.org/10.1007/978-3-030-91445-5_2 |
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2021 |
Alessio Benavoli, Cassio P. de Campos |
Bayesian Independence Test with Mixed-type Variables , 7, pp1-13. DOI: https://doi.org/10.1109/dsaa53316.2021.9564124 |
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2020 |
Ristic, B.; Gilliam, C.; Byrne, M.; Benavoli, A. |
A tutorial on uncertainty modeling for machine reasoning Information Fusion, 55, pp30 -44 |
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2020 |
Schürch, M.; Azzimonti, D.; Benavoli, A.; Zaffalon, M. |
Recursive estimation for sparse Gaussian process regression Automatica, 120, pp109-127 |
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2020 |
Piga, D.; Bemporad, A.; Benavoli, A. |
Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models Automatica, 117 |
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2020 |
Benavoli, A.; Azzimonti, D.; Piga, D. |
Skew Gaussian processes for classification Machine Learning, 109, pp1877-1902 |
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2019 |
Piga, D. ; Benavoli, A. |
Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering European Control Conference (ECC) |
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2019 |
Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon |
Sum-of-squares for bounded rationality International Journal of Approximate Reasoning, pp130-152 |
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2019 |
Benavoli, A; Balleri, A; Farina, A |
Joint Waveform and Guidance Control Optimization for Target Rendezvous IEEE Transactions on Signal Processing, 67(16), pp4357-4369 |
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2019 |
Benavoli, A. ; Facchini, A. ; Zaffalon, M. |
Bernstein's socks, polynomial-time provable coherence and entanglement International Symposium on Imprecise Probability: Theories and Applications (ISIPTA) |
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2019 |
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon |
Computational Complexity and the Nature of Quantum Mechanics (Extended version) |
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2018 |
Benavoli, A. |
Dual Probabilistic Programming PROBPROG 2018 The International Conference on Probabilistic Programmin |
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2017 |
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon |
A Gleason-Type Theorem for Any Dimension Based on a Gambling Formulation of Quantum Mechanics Foundations of Physics |
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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), pp1-36 |
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2017 |
Corani, G.; Benavoli, A.; Demar, J.; Mangili, F.; Zaffalon, M. |
Statistical comparison of classifiers through Bayesian hierarchical modelling Machine Learning, pp1-21 |
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2017 |
Benavoli, A.; Facchini, A. ; Piga, D.; Zaffalon, M. |
SOS for bounded rationality Proc. ISIPTA'17 Int. Symposium on Imprecise Probability: Theories and Applications, |
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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 |