CANDELIERI, ANTONIO

CANDELIERI, ANTONIO  

DIPARTIMENTO DI ECONOMIA, METODI QUANTITATIVI E STRATEGIE DI IMPRESA  

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Titolo Tipologia Data di pubblicazione Autori File
Exploring telediagnostic procedures in child neuropsychiatry: addressing ADHD diagnosis and autism symptoms through supervised machine learning 01 - Articolo su rivista 2024 Crippa A.Candelieri A.Mauri M. +
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization 01 - Articolo su rivista 2024 Candelieri, APonti, AArchetti, F
Generating Informative Scenarios via Active Learning 03 - Contributo in libro 2024 Candelieri A.Chou X.Archetti F. A.Messina E.
Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network 01 - Articolo su rivista 2024 Candelieri, A +
Wasserstein-Enabled Leaks Localization in Water Distribution Networks 01 - Articolo su rivista 2024 Ponti, AGiordani, ICandelieri, AArchetti, F
Distributional learning in multi-objective optimization of recommender systems 01 - Articolo su rivista 2023 Candelieri A.Ponti A.Giordani I.Bosio A.Archetti F.
Generative Models via Optimal Transport and Gaussian Processes 03 - Contributo in libro 2023 Candelieri, APonti, AArchetti, F
Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms 01 - Articolo su rivista 2023 Andrea PontiAntonio CandelieriIlaria GiordaniFrancesco Archetti
On the Generalization of Projection-Based Gender Debiasing inWord Embedding 02 - Intervento a convegno 2023 Fersini, ECandelieri, A +
On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty 01 - Articolo su rivista 2023 Candelieri A.Ponti A.Giordani I.Archetti F.
Safe Optimal Control of Dynamic Systems: Learning from Experts and Safely Exploring New Policies 01 - Articolo su rivista 2023 Candelieri A.Ponti A.Fersini E.Messina E.Archetti F.
The role of hyper-parameters in relational topic models: Prediction capabilities vs topic quality 01 - Articolo su rivista 2023 Terragni S.Candelieri A.Fersini E.
Uncertainty quantification and exploration–exploitation trade-off in humans 01 - Articolo su rivista 2023 Candelieri A.Ponti A.Archetti F.
Wasserstein enabled Bayesian optimization of composite functions 01 - Articolo su rivista 2023 Candelieri, APonti, AArchetti, F
AutoTinyML for microcontrollers: Dealing with black-box deployability 01 - Articolo su rivista 2022 Perego R.Candelieri A.Archetti F. +
Bayesian optimization and deep learning for steering wheel angle prediction 01 - Articolo su rivista 2022 Riboni, AlessandroCandelieri, AntonioBorrotti, Matteo +
Bayesian Optimization in Wasserstein Spaces 02 - Intervento a convegno 2022 Candelieri, APonti, AArchetti, F
Deep Autonomous Agents Comparison for Self-driving Cars 02 - Intervento a convegno 2022 Candelieri A.Borrotti M. +
Explaining Exploration–Exploitation in Humans 01 - Articolo su rivista 2022 Candelieri A.Ponti A.Archetti F.
Lost in Optimization of Water Distribution Systems: Better Call Bayes 01 - Articolo su rivista 2022 Candelieri A.Ponti A.Giordani I.Archetti F.