STELLA, FABIO ANTONIO
STELLA, FABIO ANTONIO
DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE
A Causal Discovery Workflow for Rare Diseases: Experts-in-the-Loop Analysis of Sparse Longitudinal Data
2026 Rocchi, N; Zanga, A; Bernasconi, A; Gronchi, A; Callegaro, D; Borghi, A; Casali, P; Provenzano, S; Miceli, R; Trama, A; Stella, F
Turning heterogeneity of statistical epistasis networks to an advantage
2026 Duroux, D; Melograna, F; Climente-Gonzalez, H; Fan, B; Walakira, A; Gervasoni, E; Li, Z; Roqueiro, D; Stella, F; Van Steen, K
A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools
2025 Canonaco, F; Gaudillo, J; Astrologo, N; Stella, F; Acerbi, E
Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains
2025 Stranieri, F; Stella, F
Correction: A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools (Frontiers in Systems Biology, (2025), 5, (1631901), 10.3389/fsysb.2025.1631901)
2025 Canonaco, F; Gaudillo, J; Astrologo, N; Stella, F; Acerbi, E
DBNcare: Towards an R Package for Dynamic Bayesian Networks Application in Healthcare
2025 Canonaco, F; Pirola, F; Stella, F
Getting the Information threat Right. Systematic Analysis of Media Ecosystems Can Strengthen the EU’s Fight Against Information Manipulation
2025 Morača, T; Sicurella, F; Armanini, J; Sekulic, T; Stella, F
Learning from multiple data sources for decision making in health care
2025 Stella, F; Calimeri, F; Dragoni, M
Multi-armed bandits for performance marketing
2025 Gigli, M; Stella, F
Towards Privacy-Aware Bayesian Networks: A Credal Approach
2025 Rocchi, N; Stella, F; De Campos, C
A causal network model to estimate the cardiotoxic effect of oncological treatments in young breast cancer survivors
2024 Bernasconi, A; Zanga, A; Lucas, P; Scutari, M; Trama, A; Stella, F
Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed Rewards
2024 Gigli, M; Stella, F
Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem
2024 Stranieri, F; Fadda, E; Stella, F
DL-based multi-artifact EEG denoising exploiting spectral information
2024 Gabardi, M; Saibene, A; Gasparini, F; Rizzo, D; Stella, F
From Real-World Data to Causally Interpretable Models: A Bayesian Network to Predict Cardiovascular Diseases in Adolescents and Young Adults with Breast Cancer
2024 Bernasconi, A; Zanga, A; Lucas, P; Scutari, M; Di Cosimo, S; De Santis, M; La Rocca, E; Baili, P; Cavallo, I; Verderio, P; Ciniselli, C; Pizzamiglio, S; Blanda, A; Perego, P; Vallerio, P; Stella, F; Trama, A
Performance of deep reinforcement learning algorithms in two-echelon inventory control systems
2024 Stranieri, F; Stella, F; Kouki, C
Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
2024 Locatelli, M; Cerioli, R; Besozzi, D; Hommersom, A; Stella, F
Special issue on learning from multiple data sources for decision making in health care
2024 Stella, F; Calimeri, F; Dragoni, M
Surfing the OCEAN: The machine learning psycholexical approach 2.0 to detect personality traits in texts
2024 Giannini, F; Marelli, M; Stella, F; Monzani, D; Pancani, L
Towards a Causal Decision-Making Framework for Recommender Systems
2024 Cavenaghi, E; Zanga, A; Stella, F; Zanker, M