Sfoglia per Autore
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.
Model-based approaches to profit-aware recommendation
2024 De Biasio, A.; Jannach, D.; Navarin, N.
Advances in artificial neural networks, machine learning and computational intelligence
2024 Navarin, N.; Mulders, D.; Oneto, L.
A unified framework for backpropagation-free soft and hard gated graph neural networks
2024 Pasa, Luca; Navarin, Nicolo; Erb, Wolfgang; Sperduti, Alessandro
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
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.
Graph-based Explainable Recommendation Systems: Are We Rigorously Evaluating Explanations? A Position Paper
2023 Montagna, Andrea; DE BIASIO, Alvise; Navarin, Nicolo'; Aiolli, Fabio
An Untrained Neural Model for Fast and Accurate Graph Classification
2023 Navarin, N.; Pasa, L.; Gallicchio, C.; Sperduti, A.
Object-centric process predictive analytics
2023 Galanti, Riccardo; de Leoni, Massimiliano; Navarin, Nicolo'; Marazzi, Alan
Interventi psicologici erogati da assistenti virtuali per promuovere il benessere mentale
2023 Fietta, Valentina; Rizzi, Silvia; Gios, Lorenzo; Chiara Pavesi, Maria; De Luca, Chiara; Gabrielli, Silvia; Monaro, Merylin; Navarin, Nicolo'; Mayora, Oscar; Forti, Stefano
Women and Gender Disparities in Computer Science: A Case Study at the University of Padua
2023 Fietta, Valentina; Navarin, Nicolo; Monaro, Merylin; Gaggi, Ombretta
Topology preserving maps as aggregations for Graph Convolutional Neural Networks
2023 Frazzetto, P.; Pasa, L.; Navarin, N.; Sperduti, A.
A systematic review of value-aware recommender systems
2023 De Biasio, A.; Montagna, A.; Aiolli, F.; Navarin, N.
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview
2022 Oneto, L.; Navarin, N.; Biggio, B.; Errica, F.; Micheli, A.; Scarselli, F.; Bianchini, M.; Demetrio, L.; Bongini, P.; Tacchella, A.; Sperduti, A.
Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning
2022 Munari, M; Pasa, L; Zambon, D; Alippi, C; Navarin, N
Face the Truth: Interpretable Emotion Genuineness Detection
2022 Cardaioli, Matteo; Miolla, Alessio; Conti, Mauro; Sartori, Giuseppe; Monaro, Merylin; Scarpazza, Cristina; Navarin, Nicolo
Deep fair models for complex data: Graphs labeling and explainable face recognition
2022 Franco, D.; Navarin, N.; Donini, M.; Anguita, D.; Oneto, L.
Advances in artificial neural networks, machine learning and computational intelligence
2022 Oneto, L.; Bunte, K.; Navarin, N.
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