Alessio Benavoli

Alessio Benavoli

Trinity College

H-index: 24

North America-United States

About Alessio Benavoli

Alessio Benavoli, With an exceptional h-index of 24 and a recent h-index of 17 (since 2020), a distinguished researcher at Trinity College, specializes in the field of Bayesian nonparametrics, probabilistic machine learning, imprecise and general probability theories.

His recent articles reflect a diverse array of research interests and contributions to the field:

Computer implemented method of and optimisation tool for refinement of laser cutting processing parameters by means of an optimization tool

Bayes’ Rule Using Imprecise Probabilities [Lecture Notes]

A tutorial on learning from preferences and choices with Gaussian Processes

Learning choice functions with Gaussian processes

Connecting classical finite exchangeability to quantum theory

Correlated product of experts for sparse Gaussian process regression

Robust target area search using sets of probabilities

Credal Valuation Networks for Machine Reasoning Under Uncertainty

Alessio Benavoli Information

University

Position

Associate Professor in Statistics SCSS

Citations(all)

2515

Citations(since 2020)

1560

Cited By

1449

hIndex(all)

24

hIndex(since 2020)

17

i10Index(all)

47

i10Index(since 2020)

29

Email

University Profile Page

Trinity College

Google Scholar

View Google Scholar Profile

Alessio Benavoli Skills & Research Interests

Bayesian nonparametrics

probabilistic machine learning

imprecise and general probability theories

Top articles of Alessio Benavoli

Title

Journal

Author(s)

Publication Date

Computer implemented method of and optimisation tool for refinement of laser cutting processing parameters by means of an optimization tool

2024/3/12

Bayes’ Rule Using Imprecise Probabilities [Lecture Notes]

IEEE Signal Processing Magazine

Branko Ristic

Alessio Benavoli

Sanjeev Arulampalam

2024/1

A tutorial on learning from preferences and choices with Gaussian Processes

Alessio Benavoli

Dario Azzimonti

2024/3/18

Learning choice functions with Gaussian processes

Alessio Benavoli

Dario Azzimonti

Dario Piga

2023/7/2

Connecting classical finite exchangeability to quantum theory

arXiv preprint arXiv:2306.03869

Alessio Benavoli

Alessandro Facchini

Marco Zaffalon

2023/6/6

Correlated product of experts for sparse Gaussian process regression

Machine Learning

Manuel Schürch

Dario Azzimonti

Alessio Benavoli

Marco Zaffalon

2023/5

Robust target area search using sets of probabilities

Digital Signal Processing

Branko Ristic

Alessio Benavoli

Alex Skvortsov

2023/10/1

Credal Valuation Networks for Machine Reasoning Under Uncertainty

IEEE Transactions on Artificial Intelligence

Branko Ristic

Alessio Benavoli

Sanjeev Arulampalam

2023/2/23

Bayesian Optimization For Choice Data

Alessio Benavoli

Dario Azzimonti

Dario Piga

2023/7/15

Nonlinear desirability as a linear classification problem

International Journal of Approximate Reasoning

Arianna Casanova

Alessio Benavoli

Marco Zaffalon

2023/1/1

Closure operators, classifiers and desirability

Alessio Benavoli

Alessandro Facchini

Marco Zaffalon

2023/7/10

A reinforcement learning system for generating instantaneous quality random sequences

IEEE Transactions on Artificial Intelligence

Yahya Almardeny

Alessio Benavoli

Noureddine Boujnah

Enrique Naredo

2022/3/23

Why we should interpret density matrices as moment matrices: the case of (in) distinguishable particles and the emergence of classical reality

arXiv preprint arXiv:2203.04124

Alessio Benavoli

Alessandro Facchini

Marco Zaffalon

2022/3/8

Prediction of Functional Threshold Power from graded exercise test data in highly-trained individuals

International Journal of Exercise Science

EANNA McGRATH

Nick Mahony

Neil Fleming

Alessio Benavoli

Bernard Donne

2022

Quantum indistinguishability through exchangeability

International Journal of Approximate Reasoning

Alessio Benavoli

Alessandro Facchini

Marco Zaffalon

2022/12/1

State space approximation of gaussian processes for time series forecasting

Alessio Benavoli

Giorgio Corani

2021

Bayesian Independence Test with Mixed-type Variables

Alessio Benavoli

Cassio de Campos

2021/10/6

Bayesian optimisation for sequential experimental design with applications in additive manufacturing

arXiv preprint arXiv:2107.12809

Mimi Zhang

Andrew Parnell

Dermot Brabazon

Alessio Benavoli

2021/7/27

The weirdness theorem and the origin of quantum paradoxes

Foundations of Physics

Alessio Benavoli

Alessandro Facchini

Marco Zaffalon

2021/10

Preferential bayesian optimisation with skew gaussian processes

Alessio Benavoli

Dario Azzimonti

Dario Piga

2021/7/7

See List of Professors in Alessio Benavoli University(Trinity College)

Co-Authors

H-index: 55
Branko Ristic

Branko Ristic

RMIT University

H-index: 41
Giorgio Battistelli

Giorgio Battistelli

Università degli Studi di Firenze

H-index: 39
Luigi Chisci

Luigi Chisci

Università degli Studi di Firenze

H-index: 30
Dario Piga

Dario Piga

Scuola universitaria professionale della Svizzera italiana

H-index: 29
Enrique Miranda (Orcid: 0000-0001-7763-3779)

Enrique Miranda (Orcid: 0000-0001-7763-3779)

Universidad de Oviedo

H-index: 17
Denis Deratani Mauá

Denis Deratani Mauá

Universidade de São Paulo

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