Luca Pasa - RankMe

46 papers A* 1B 13C 1Misc 5Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Informed machine learning for complex data. Neurocomputing Luca Oneto, Nicolò Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita
2026	J	`jnl`	On the application of neural networks for structured domains to fMRI data. Neural Networks Giovanni Donghi, Luca Pasa, Michele De Filippo De Grazia, Alberto Testolin, Marco Zorzi, Alessandro Sperduti, Nicolò Navarin
2025	J	`jnl`	Moshi Moshi? A Model Selection Hijacking Adversarial Attack. CoRR Riccardo Petrucci, Luca Pajola, Francesco Marchiori, Luca Pasa, Mauro Conti
2025	J	`jnl`	Online Continual Graph Learning. CoRR Giovanni Donghi, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicolò Navarin
2025	J	`jnl`	The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning. CoRR Giovanni Donghi, Daniele Zambon, Luca Pasa, Cesare Alippi, Nicolò Navarin
2025	J	`jnl`	Your PIN is Mine: Uncovering Users' PINs at Point of Sale Machines. IEEE Trans. Dependable Secur. Comput. Stefano Cecconello, Matteo Cardaioli, Luca Pasa, Stjepan Picek, Georgios Smaragdakis
2024	—	`conf`	"All of Me": Mining Users' Attributes from their Public Spotify Playlists. WWW (Companion Volume) Pier Paolo Tricomi, Luca Pajola, Luca Pasa, Mauro Conti
2024	J	`jnl`	"All of Me": Mining Users' Attributes from their Public Spotify Playlists. CoRR Pier Paolo Tricomi, Luca Pajola, Luca Pasa, Mauro Conti
2024	J	`jnl`	A unified framework for backpropagation-free soft and hard gated graph neural networks. Knowl. Inf. Syst. Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
2024	Misc	`conf`	Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration. SAC Paolo Frazzetto, Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2024	J	`jnl`	Empowering Simple Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
2024	J	`jnl`	Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing. Neurocomputing Danilo Franco, Vincenzo Stefano D'Amato, Luca Pasa, Nicolò Navarin, Luca Oneto
2024	B	`conf`	Informed Machine Learning for Complex Data. ESANN Luca Oneto, Nicolò Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita
2024	J	`jnl`	Investigating over-parameterized randomized graph networks. Neurocomputing Giovanni Donghi, Luca Pasa, Luca Oneto, Claudio Gallicchio, Alessio Micheli, Davide Anguita, Alessandro Sperduti, Nicolò Navarin
2024	B	`conf`	Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling. IJCNN Nicolò Navarin, Paolo Frazzetto, Luca Pasa, Pietro Verzelli, Filippo Visentin, Alessandro Sperduti, Cesare Alippi
2024	—	`conf`	Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning. ICANN (8) Giovanni Donghi, Luca Pasa, Alberto Testolin, Marco Zorzi, Alessandro Sperduti, Nicolò Navarin
2024	B	`conf`	Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets. ESANN Nicolò Navarin, Luca Pasa, Alessandro Sperduti
2023	B	`conf`	An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features. ESANN Nicolò Navarin, Luca Pasa, Luca Oneto, Alessandro Sperduti
2023	—	`conf`	An Untrained Neural Model for Fast and Accurate Graph Classification. ICANN (4) Nicolò Navarin, Luca Pasa, Claudio Gallicchio, Alessandro Sperduti
2023	B	`conf`	Graph Representation Learning. ESANN Davide Bacciu, Federico Errica, Alessio Micheli, Nicolò Navarin, Luca Pasa, Marco Podda, Daniele Zambon
2023	Misc	`conf`	Topology preserving maps as aggregations for Graph Convolutional Neural Networks. SAC Paolo Frazzetto, Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2022	A*	`conf`	Backpropagation-free Graph Neural Networks. ICDM Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
2022	B	`conf`	Biased Edge Dropout in NIFTY for Fair Graph Representation Learning. ESANN Federico Caldart, Luca Pasa, Luca Oneto, Alessandro Sperduti, Nicolò Navarin
2022	Misc	`conf`	Compact graph neural network models for node classification. SAC Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2022	B	`conf`	Deep Learning for Graphs. ESANN Davide Bacciu, Federico Errica, Nicolò Navarin, Luca Pasa, Daniele Zambon
2022	J	`jnl`	Multiresolution Reservoir Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2022	J	`jnl`	Polynomial-based graph convolutional neural networks for graph classification. Mach. Learn. Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2022	J	`jnl`	SOM-based aggregation for graph convolutional neural networks. Neural Comput. Appl. Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2022	B	`conf`	Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. IJCNN Matteo Munari, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicolò Navarin
2021	C	`conf`	Audio-Visual Target Speaker Enhancement on Multi-Talker Environment Using Event-Driven Cameras. ISCAS Ander Arriandiaga, Giovanni Morrone, Luca Pasa, Leonardo Badino, Chiara Bartolozzi
2021	J	`jnl`	Simple Graph Convolutional Networks. CoRR Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
2021	—	`conf`	Simple Multi-resolution Gated GNN. SSCI Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2021	B	`conf`	Tangent Graph Convolutional Network. ESANN Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2020	Misc	`conf`	An Analysis of Speech Enhancement and Recognition Losses in Limited Resources Multi-Talker Single Channel Audio-Visual ASR. ICASSP Luca Pasa, Giovanni Morrone, Leonardo Badino
2020	B	`conf`	Deep Recurrent Graph Neural Networks. ESANN Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2020	B	`conf`	Linear Graph Convolutional Networks. ESANN Nicolò Navarin, Wolfgang Erb, Luca Pasa, Alessandro Sperduti
2019	J	`jnl`	Audio-Visual Target Speaker Extraction on Multi-Talker Environment using Event-Driven Cameras. CoRR Ander Arriandiaga, Giovanni Morrone, Luca Pasa, Leonardo Badino, Chiara Bartolozzi
2019	Misc	`conf`	Face Landmark-based Speaker-independent Audio-visual Speech Enhancement in Multi-talker Environments. ICASSP Giovanni Morrone, Sonia Bergamaschi, Luca Pasa, Luciano Fadiga, Vadim Tikhanoff, Leonardo Badino
2019	J	`jnl`	Joined Audio-Visual Speech Enhancement and Recognition in the Cocktail Party: The Tug Of War Between Enhancement and Recognition Losses. CoRR Luca Pasa, Giovanni Morrone, Leonardo Badino
2019	—	`conf`	Threat is in the Air: Machine Learning for Wireless Network Applications. WiseML@WiSec Luca Pajola, Luca Pasa, Mauro Conti
2018	J	`jnl`	Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments. CoRR Giovanni Morrone, Luca Pasa, Vadim Tikhanoff, Sonia Bergamaschi, Luciano Fadiga, Leonardo Badino
2017	B	`conf`	Linear dynamical based models for sequential domains. IJCNN Luca Pasa, Alessandro Sperduti, Peter Tiño
2016	—	`conf`	Learning Sequential Data with the Help of Linear Systems. ANNPR Luca Pasa, Alessandro Sperduti
2015	J	`jnl`	Neural Networks for Sequential Data: a Pre-training Approach based on Hidden Markov Models. Neurocomputing Luca Pasa, Alberto Testolin, Alessandro Sperduti
2014	B	`conf`	A HMM-based pre-training approach for sequential data. ESANN Luca Pasa, Alberto Testolin, Alessandro Sperduti
2014	—	`conf`	Pre-training of Recurrent Neural Networks via Linear Autoencoders. NIPS Luca Pasa, Alessandro Sperduti