Luca Pasa

Luca Oneto

Neurocomputing, January, 2024

Investigating over-parameterized randomized graph networks.

[BibT_eX]

[DOI]

Neurocomputing, 2024

"All of Me": Mining Users' Attributes from their Public Spotify Playlists.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration.

[BibT_eX]

[DOI]

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Informed Machine Learning for Complex Data.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

Topology preserving maps as aggregations for Graph Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

An Untrained Neural Model for Fast and Accurate Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Multiresolution Reservoir Graph Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

SOM-based aggregation for graph convolutional neural networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Polynomial-based graph convolutional neural networks for graph classification.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Compact graph neural network models for node classification.

[BibT_eX]

[DOI]

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Backpropagation-free Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Biased Edge Dropout in NIFTY for Fair Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Deep Learning for Graphs.

[BibT_eX]

[DOI]

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Simple Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Simple Multi-resolution Gated GNN.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Audio-Visual Target Speaker Enhancement on Multi-Talker Environment Using Event-Driven Cameras.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Tangent Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

An Analysis of Speech Enhancement and Recognition Losses in Limited Resources Multi-Talker Single Channel Audio-Visual ASR.

[BibT_eX]

[DOI]

Giovanni Morrone

Leonardo Badino

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Recurrent Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Linear Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Audio-Visual Target Speaker Extraction on Multi-Talker Environment using Event-Driven Cameras.

[BibT_eX]

[DOI]

CoRR, 2019

Joined Audio-Visual Speech Enhancement and Recognition in the Cocktail Party: The Tug Of War Between Enhancement and Recognition Losses.

[BibT_eX]

[DOI]

Giovanni Morrone

Leonardo Badino

CoRR, 2019

Threat is in the Air: Machine Learning for Wireless Network Applications.

[BibT_eX]

[DOI]

Luca Pajola

Mauro Conti

Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 2019

Face Landmark-based Speaker-independent Audio-visual Speech Enhancement in Multi-talker Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Linear dynamical based models for sequential domains.

[BibT_eX]

[DOI]

Peter Tiño

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Learning Sequential Data with the Help of Linear Systems.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015

Neural Networks for Sequential Data: a Pre-training Approach based on Hidden Markov Models.

[BibT_eX]

[DOI]

Alberto Testolin

Neurocomputing, 2015

2014

Pre-training of Recurrent Neural Networks via Linear Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A HMM-based pre-training approach for sequential data.

[BibT_eX]

[DOI]

Alberto Testolin