Luca Pasa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
8
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ESANN | Enriching Graph Topology Representations with Line Graph Transformations. | Paolo Frazzetto, Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2026 | ESANN | Neuro Symbolic AI and Complex Data. | Luca Oneto, Nicol Navarin, Luca Pasa, Davide Rigoni, Davide Anguita |
| 2026 | ESANN | Model Selection Hijacking Adversarial Attack. | Luca Pajola, Riccardo Petrucci, Francesco Marchiori, Luca Pasa, Mauro Conti |
| 2025 | ESANN | Foundation and Generative Models for Graphs. | Davide Bacciu, Federico Errica, Stefano Moro, Luca Pasa, Davide Rigoni, Daniele Zambon |
| 2024 | ESANN | Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets. | Nicol Navarin, Luca Pasa, Alessandro Sperduti |
| 2024 | ESANN | Informed Machine Learning for Complex Data. | Luca Oneto, Nicol Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita |
| 2024 | ICANN | Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning. | Giovanni Donghi, Luca Pasa, Alberto Testolin, Marco Zorzi, Alessandro Sperduti, Nicol Navarin |
| 2024 | IJCNN | Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling. | Nicol Navarin, Paolo Frazzetto, Luca Pasa, Pietro Verzelli, Filippo Visentin, Alessandro Sperduti, Cesare Alippi |
| 2024 | WWW | "All of Me": Mining Users' Attributes from their Public Spotify Playlists. | Pier Paolo Tricomi, Luca Pajola, Luca Pasa, Mauro Conti |
| 2024 | SAC | Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration. | Paolo Frazzetto, Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2023 | ESANN | Graph Representation Learning. | Davide Bacciu, Federico Errica, Alessio Micheli, Nicol Navarin, Luca Pasa, Marco Podda, Daniele Zambon |
| 2023 | ESANN | An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features. | Nicol Navarin, Luca Pasa, Luca Oneto, Alessandro Sperduti |
| 2023 | ICANN | An Untrained Neural Model for Fast and Accurate Graph Classification. | Nicol Navarin, Luca Pasa, Claudio Gallicchio, Alessandro Sperduti |
| 2023 | SAC | Topology preserving maps as aggregations for Graph Convolutional Neural Networks. | Paolo Frazzetto, Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2022 | ESANN | Deep Learning for Graphs. | Davide Bacciu, Federico Errica, Nicol Navarin, Luca Pasa, Daniele Zambon |
| 2022 | ESANN | Biased Edge Dropout in NIFTY for Fair Graph Representation Learning. | Federico Caldart, Luca Pasa, Luca Oneto, Alessandro Sperduti, Nicol Navarin |
| 2022 | ICDM | Backpropagation-free Graph Neural Networks. | Luca Pasa, Nicol Navarin, Wolfgang Erb, Alessandro Sperduti |
| 2022 | IJCNN | Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. | Matteo Munari, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicol Navarin |
| 2022 | SAC | Compact graph neural network models for node classification. | Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2021 | ESANN | Tangent Graph Convolutional Network. | Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2021 | ISCAS | Audio-Visual Target Speaker Enhancement on Multi-Talker Environment Using Event-Driven Cameras. | Ander Arriandiaga, Giovanni Morrone, Luca Pasa, Leonardo Badino, Chiara Bartolozzi |
| 2020 | ESANN | Linear Graph Convolutional Networks. | Nicol Navarin, Wolfgang Erb, Luca Pasa, Alessandro Sperduti |
| 2020 | ESANN | Deep Recurrent Graph Neural Networks. | Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2020 | ICASSP | An Analysis of Speech Enhancement and Recognition Losses in Limited Resources Multi-Talker Single Channel Audio-Visual ASR. | Luca Pasa, Giovanni Morrone, Leonardo Badino |
| 2019 | ICASSP | Face Landmark-based Speaker-independent Audio-visual Speech Enhancement in Multi-talker Environments. | Giovanni Morrone, Sonia Bergamaschi, Luca Pasa, Luciano Fadiga, Vadim Tikhanoff, Leonardo Badino |
| 2017 | IJCNN | Linear dynamical based models for sequential domains. | Luca Pasa, Alessandro Sperduti, Peter Tio |
| 2014 | ESANN | A HMM-based pre-training approach for sequential data. | Luca Pasa, Alberto Testolin, Alessandro Sperduti |