NAVARIN, NICOLO'
NAVARIN, NICOLO'
Dipartimento di Matematica "Tullio Levi-Civita" - DM
Automated Synthesis of Certified Neural Networks: Initial Results and Open Research Lines
2025 Zavatteri, Matteo; Bresolin, Davide; Navarin, Nicolo
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.
Do attitudes towards technology mediate engagement with digital mental health interventions?
2025 Fietta, V.; Monaro, M.; Navarin, N.; Kelders, S.; Gabrielli, S.
RGCVAE: relational graph conditioned variational autoencoder for molecule design
2025 Rigoni, D.; Navarin, N.; Sperduti, A.
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.
Automated Synthesis of Certified Neural Networks
2024 Zavatteri, Matteo; Bresolin, Davide; Navarin, Nicolo'
Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration
2024 Frazzetto, P.; Pasa, L.; Navarin, N.; Sperduti, A.
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.
Informed Machine Learning for Complex Data
2024 Oneto, Luca; Navarin, Nicolo; Micheli, Alessio; Pasa, Luca; Gallicchio, Claudio; Bacciu, Davide; Anguita, Davide
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.
Physics-Informed Graph Neural Cellular Automata: An Application to Compartmental Modelling
2024 Navarin, N.; Frazzetto, P.; Pasa, L.; Verzelli, P.; Visentin, F.; Sperduti, A.; Alippi, C.
Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning
2024 Donghi, G.; Pasa, L.; Testolin, A.; Zorzi, M.; Sperduti, A.; Navarin, N.
Towards the Application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets
2024 Navarin, Nicolo; Pasa, Luca; Sperduti, Alessandro
A systematic review of value-aware recommender systems
2023 De Biasio, A.; Montagna, A.; Aiolli, F.; Navarin, N.
An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features
2023 Navarin, Nicolo; Pasa, Luca; Oneto, Luca; Sperduti, Alessandro