PASA, LUCA

PASA, LUCA  

Dipartimento di Matematica "Tullio Levi-Civita" - DM  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A HMM-based pre-training approach for sequential data 2014 Luca PasaTESTOLIN, ALBERTOSPERDUTI, ALESSANDRO - - ESANN 2014 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
A unified framework for backpropagation-free soft and hard gated graph neural networks 2024 Pasa, LucaNavarin, NicoloErb, WolfgangSperduti, Alessandro KNOWLEDGE AND INFORMATION SYSTEMS - -
An analysis of speech enhancement and recognition losses in limited resources multi-talker single channel audio-visual ASR 2020 Pasa L. + - PROCEEDINGS OF THE ... IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
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)
Audio-visual target speaker enhancement on multi-talker environment using event-driven cameras 2021 Pasa, Luca + - - 2021 IEEE International Symposium on Circuits and Systems (ISCAS)
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)
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
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
Deep learning for graph-structured data 2022 Pasa L.Navarin N.Sperduti A. - - Handbook On Computer Learning And Intelligence
Deep recurrent graph neural networks 2020 Pasa L.Navarin N.Sperduti A. - - ESANN 2020 - Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Empowering Simple Graph Convolutional Networks 2024 Pasa, LNavarin, NErb, WSperduti, A IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS - -
Enhancing door-to-door waste collection forecasting through ML 2025 Pasa L.Sperduti A. + WASTE MANAGEMENT - -
Face Landmark-based Speaker-independent Audio-visual Speech Enhancement in Multi-talker Environments 2019 Pasa L. + - PROCEEDINGS OF THE ... IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing 2024 Pasa L.Navarin N. + NEUROCOMPUTING - -
Graph Representation Learning 2023 Nicolo NavarinLuca Pasa + - - ESANN 2023 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
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 - -
Learning sequential data with the help of linear systems 2016 PASA, LUCASPERDUTI, ALESSANDRO LECTURE NOTES IN COMPUTER SCIENCE - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Linear dynamical based models for sequential domains 2017 Pasa, LucaSperduti, Alessandro + - - Proceedings of the International Joint Conference on Neural Networks