PASA, LUCA

PASA, LUCA  

Dipartimento di Matematica "Tullio Levi-Civita" - DM  

Mostra records
Risultati 1 - 20 di 39 (tempo di esecuzione: 0.323 secondi).
Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
On the application of neural networks for structured domains to fMRI data 2026 Donghi, GiovanniPasa, LucaTestolin, AlbertoZorzi, MarcoSperduti, AlessandroNavarin, Nicolò + NEURAL NETWORKS - -
Enhancing door-to-door waste collection forecasting through ML 2025 Pasa L.Sperduti A. + WASTE MANAGEMENT - -
Foundation and Generative Models for Graphs 2025 Moro, StefanoPasa, LucaRigoni, Davide + - - ESANN 2025 - Proceedings, 33rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Your PIN is Mine: Uncovering Users' PINs at Point of Sale Machines 2025 Cecconello S.Cardaioli M.Pasa L. + IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING - -
A unified framework for backpropagation-free soft and hard gated graph neural networks 2024 Pasa, LucaNavarin, NicoloErb, WolfgangSperduti, Alessandro KNOWLEDGE AND INFORMATION SYSTEMS - -
Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration 2024 Frazzetto P.Pasa L.Navarin N.Sperduti A. - - Proceedings of the ACM Symposium on Applied Computing
Empowering Simple Graph Convolutional Networks 2024 Pasa, LNavarin, NErb, WSperduti, A IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS - -
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing 2024 Pasa L.Navarin N. + NEUROCOMPUTING - -
Informed Machine Learning for Complex Data 2024 Nicolo NavarinLuca Pasa + - - ESANN 2024 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Investigating over-parameterized randomized graph networks 2024 Donghi G.Pasa L.Sperduti A.Navarin N. + NEUROCOMPUTING - -
Physics-Informed Graph Neural Cellular Automata: An Application to Compartmental Modelling 2024 Navarin N.Frazzetto P.Pasa L.Visentin F.Sperduti A. + - - Proceedings of the International Joint Conference on Neural Networks
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. - LECTURE NOTES IN COMPUTER SCIENCE Artificial Neural Networks and Machine Learning – ICANN 2024
Towards the Application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets 2024 Nicolo NavarinLuca PasaAlessandro Sperduti - - ESANN 2024 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
“All of Me”: Mining Users’ Attributes from their Public Spotify Playlists 2024 Pasa, LucaConti, Mauro + - - WWW '24: Companion Proceedings of the ACM on Web Conference 2024
An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features 2023 Nicolo NavarinLuca PasaAlessandro Sperduti + - - ESANN 2023 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
An Untrained Neural Model for Fast and Accurate Graph Classification 2023 Navarin N.Pasa L.Sperduti A. + - LECTURE NOTES IN COMPUTER SCIENCE Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Graph Representation Learning 2023 Nicolo NavarinLuca Pasa + - - ESANN 2023 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Topology preserving maps as aggregations for Graph Convolutional Neural Networks 2023 Frazzetto P.Pasa L.Navarin N.Sperduti A. - - SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
Backpropagation-free Graph Neural Networks 2022 Pasa L.Navarin N.Erb W.Sperduti A. - PROCEEDINGS IEEE INTERNATIONAL CONFERENCE ON DATA MINING 2022 IEEE International Conference on Data Mining (ICDM)
Compact graph neural network models for node classification 2022 Pasa L.Navarin N.Sperduti A. - - SAC '22: the 37th ACM/SIGAPP Symposium on Applied Computing