STELLA, FABIO ANTONIO

STELLA, FABIO ANTONIO  

DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE  

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Titolo Tipologia Data di pubblicazione Autori File
Parametric Bandits for Search Engine Marketing Optimisation 02 - Intervento a convegno 2022 Gigli, MStella, F
Picture-based and conversational decision support to diagnose post-harvest apple diseases 01 - Articolo su rivista 2022 Stella F. +
A Survey on Causal Discovery: Theory and Practice 01 - Articolo su rivista 2022 Zanga A.Stella F. +
Case study on the development of a recommender for apple disease diagnosis with a knowledge-based Bayesian Network 02 - Intervento a convegno 2021 Stella F. +
Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of Apple 02 - Intervento a convegno 2021 Sottocornola, GStella, F +
The application of information technology to diagnose postharvest diseases of apple 02 - Intervento a convegno 2021 Stella F. +
Machine Learning Accuracy and Big Data in Research on Disease and Health 01 - Articolo su rivista 2021 Stella F.
Non stationary multi-armed bandit: Empirical evaluation of a new concept drift-aware algorithm 01 - Articolo su rivista 2021 Stella F. +
A constraint-based algorithm for the structural learning of continuous-time Bayesian networks 01 - Articolo su rivista 2021 Bregoli A.Stella F. +
Constraint-Based Learning for Continuous-Time Bayesian Networks 02 - Intervento a convegno 2020 Bregoli, AStella, F +
La Scienza Dei Dati 04 - Monografia 2020 Batini C.Cabitza F.Cherubini P.Ferrari A.Maurino A.Palmonari M.Stella F. +
An attention-based architecture for EEG classification 02 - Intervento a convegno 2020 Mauri, GiancarloStella, FabioCisotto, GiuliaManzoni, SaraZanga, AlessioZoppis, Italo +
Hard and soft em in bayesian network learning from incomplete data 01 - Articolo su rivista 2020 Stella F. +
Modeling approaches reveal new regulatory networks in aspergillus fumigatus metabolism 01 - Articolo su rivista 2020 Acerbi E.Stella F.Romani L. +
Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple 02 - Intervento a convegno 2020 Stella, Fabio +
Understanding deep learning with activation pattern diagrams 02 - Intervento a convegno 2020 Craighero F.Angaroni F.Graudenzi A.Stella F.Antoniotti M.
Investigating the Compositional Structure Of Deep Neural Networks 02 - Intervento a convegno 2020 Craigher, FAngaroni, FGraudenzi, AStella, FAntoniotti, M
Identifying innovative idea proposals with topic models-a case study from SPA tourism 03 - Contributo in libro 2019 Stella, F +
A survey on Bayesian network structure learning from data 01 - Articolo su rivista 2019 Stella, Fabio +
Application of influence diagrams for well contamination risk management: a case study in the Po plain, northern Italy 01 - Articolo su rivista 2019 Stella, F +