NAVARIN, NICOLO'
NAVARIN, NICOLO'
Dipartimento di Matematica "Tullio Levi-Civita" - DM
Informed machine learning for complex data
2026 Oneto, L.; Navarin, N.; Micheli, A.; Pasa, L.; Gallicchio, C.; Bacciu, D.; Anguita, D.
Involving Girls in STEM: A Study on Gender Bias from Schooling to University
2026 Fietta, V.; Gaggi, O.; Navarin, N.; Monaro, M.
Local Learning with Boosting-based Backpropagation-Free Graph Neural Networks
2026 Pasa, Luca; Frazzetto, Paolo; Navarin, Nicolo; Sperduti, Alessandro
On the application of neural networks for structured domains to fMRI data
2026 Donghi, Giovanni; Pasa, Luca; De Filippo De Grazia, Michele; Testolin, Alberto; Zorzi, Marco; Sperduti, Alessandro; Navarin, Nicolò
Chatbot-Based Version of a World Health Organization–Validated Intervention for Stress Management in Patients With Breast Cancer (Self-Help Plus): Protocol for a Pilot Feasibility Study
2025 Fietta, Valentina; Rizzi, Silvia; Gios, Lorenzo; Selmi, Silvana; De Luca, Chiara; Pederiva, Lucia; Poggianella, Stefania; Pavesi, Maria Chiara; Campregher, Monica; Lazzeri, Silvia; Cantarelli, Sara; Purgato, Marianna; Barbui, Corrado; Navarin, Nicolo; Gabrielli, Silvia; Monaro, Merylin; Forti, Stefano; Ferro, Antonella
Detecting Deception Through Linguistic Cues: From Reality Monitoring to Natural Language Processing
2025 Loconte, R.; Battaglini, C.; Maldera, S.; Pietrini, P.; Sartori, G.; Navarin, N.; Monaro, M.
RGCVAE: relational graph conditioned variational autoencoder for molecule design
2025 Rigoni, D.; Navarin, N.; Sperduti, A.
World Health Organization Evidence-Based Self-Help Plus Intervention for Stress Management via Chatbot: Protocol for Adaptation to a Tech-Enabled Model
2025 Fietta, Valentina; Rizzi, Silvia; Gios, Lorenzo; Pavesi Maria, Chiara; De Luca, Chiara; Gabrielli, Silvia; Monaro, Merylin; Navarin, Nicolò; Gadotti, Erik; Mayora-Ibarra, Oscar; Purgato, Marianna; Barbui, Corrado; Forti, Stefano
A unified framework for backpropagation-free soft and hard gated graph neural networks
2024 Pasa, Luca; Navarin, Nicolo; Erb, Wolfgang; Sperduti, Alessandro
Advances in artificial neural networks, machine learning and computational intelligence
2024 Navarin, N.; Mulders, D.; Oneto, L.
Economic recommender systems – a systematic review
2024 De Biasio, A.; Navarin, N.; Jannach, D.
Empowering Simple Graph Convolutional Networks
2024 Pasa, L; Navarin, N; Erb, W; Sperduti, A
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing
2024 Franco, D.; D'Amato, V. S.; Pasa, L.; Navarin, N.; Oneto, L.
Investigating over-parameterized randomized graph networks
2024 Donghi, G.; Pasa, L.; Oneto, L.; Gallicchio, C.; Micheli, A.; Anguita, D.; Sperduti, A.; Navarin, N.
Model-based approaches to profit-aware recommendation
2024 De Biasio, A.; Jannach, D.; Navarin, N.
A systematic review of value-aware recommender systems
2023 De Biasio, A.; Montagna, A.; Aiolli, F.; Navarin, N.
An explainable decision support system for predictive process analytics
2023 Galanti, Riccardo; DE LEONI, Massimiliano; Monaro, Merylin; Navarin, Nicolo; Marazzi, Alan; DI STASI, Brigida; Maldera, Stephanie
Object-centric process predictive analytics
2023 Galanti, Riccardo; de Leoni, Massimiliano; Navarin, Nicolo'; Marazzi, Alan
On the problem of recommendation for sensitive users and influential items: Simultaneously maintaining interest and diversity
2023 De Biasio, A.; Monaro, M.; Oneto, L.; Ballan, L.; Navarin, N.
Advances in artificial neural networks, machine learning and computational intelligence
2022 Oneto, L.; Navarin, N.; Schleif, F. -M.