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Luca Pasa
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Face landmark-based speaker-independent audio-visual speech enhancement in multi-talker environments
G Morrone, L Pasa, S Bergamaschi, L Fadiga, V Tikhanoff, L Badino
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
642019
Pre-training of recurrent neural networks via linear autoencoders
L Pasa, A Sperduti
Advances in Neural Information Processing Systems 27, 2014
532014
Multiresolution reservoir graph neural network
L Pasa, N Navarin, A Sperduti
IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2642-2653, 2021
252021
Polynomial-based graph convolutional neural networks for graph classification
L Pasa, N Navarin, A Sperduti
Machine Learning 111 (4), 1205-1237, 2022
202022
SOM-based aggregation for graph convolutional neural networks
L Pasa, N Navarin, A Sperduti
Neural Computing and Applications 34 (1), 5-24, 2022
162022
Linear Graph Convolutional Networks
N Navarin, W Erb, L Pasa, A Sperduti
28th European Symposium on Artificial Neural Networks, Computational …, 2020
162020
Neural Networks for Sequential Data: a Pre‐training Approach based on Hidden Markov Models
L Pasa, A Testolin, A Sperduti
Neurocomputing 169, 323-333, 2015
162015
Threat is in the air: Machine learning for wireless network applications
L Pajola, L Pasa, M Conti
Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 16-21, 2019
152019
Audio-visual target speaker enhancement on multi-talker environment using event-driven cameras
A Arriandiaga, G Morrone, L Pasa, L Badino, C Bartolozzi
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
142021
A HMM-based Pre-training Approach for Sequential Data
L Pasa, A Testolin, A Sperduti
22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges …, 2014
122014
Empowering simple graph convolutional networks
L Pasa, N Navarin, W Erb, A Sperduti
IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4385-4399, 2023
112023
Backpropagation-free graph neural networks
L Pasa, N Navarin, W Erb, A Sperduti
2022 IEEE International Conference on Data Mining (ICDM), 388-397, 2022
42022
Compact graph neural network models for node classification
L Pasa, N Navarin, A Sperduti
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 592-599, 2022
42022
Simple multi-resolution gated GNN
L Pasa, N Navarin, A Sperduti
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-07, 2021
42021
Understanding catastrophic forgetting of gated linear networks in continual learning
M Munari, L Pasa, D Zambon, C Alippi, N Navarin
2022 International joint conference on neural networks (IJCNN), 1-8, 2022
32022
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing
D Franco, VS D’Amato, L Pasa, N Navarin, L Oneto
Neurocomputing 563, 126948, 2024
22024
An untrained neural model for fast and accurate graph classification
N Navarin, L Pasa, C Gallicchio, A Sperduti
International Conference on Artificial Neural Networks, 278-290, 2023
22023
Topology preserving maps as aggregations for Graph Convolutional Neural Networks
P Frazzetto, L Pasa, N Navarin, A Sperduti
Proceedings of the 38th ACM/SIGAPP symposium on applied computing, 536-543, 2023
22023
An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features
N Navarin, L Pasa, L Oneto, A Sperduti
ESANN, 2023
22023
Deep learning for graph-structured data
L Pasa, N Navarin, A Sperduti
HANDBOOK ON COMPUTER LEARNING AND INTELLIGENCE: Volume 2: Deep Learning …, 2022
22022
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