BACCIU, DAVIDE Statistiche
BACCIU, DAVIDE
DIPARTIMENTO DI INFORMATICA
Continual pre-training mitigates forgetting in language and vision
2024-01-01 Cossu, Andrea; Carta, Antonio; Passaro, Lucia; Lomonaco, Vincenzo; Tuytelaars, Tinne; Bacciu, Davide
Deep Learning for Dynamic Graphs: Models and Benchmarks
2024-01-01 Gravina, Alessio; Bacciu, Davide
Deep Reinforcement Learning for Network Slice Placement and the DeepNetSlice Toolkit
2024-01-01 Pasquali, Alex; Lomonaco, Vincenzo; Bacciu, Davide; Paganelli, Federica
Drifting explanations in continual learning
2024-01-01 Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning
2024-01-01 Carta, Antonio; Cossu, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; van de Weijer, Joost
Random Oscillators Network for Time Series Processing
2024-01-01 Ceni, Andrea; Cossu, Andrea; Stolzle, Maximilian; Liu, Jingyue; DELLA SANTINA, Cosimo; Bacciu, Davide; Gallicchio, Claudio
A 2-Phase Strategy for Intelligent Cloud Operations
2023-01-01 Lanciano, Giacomo; Andreoli, Remo; Cucinotta, Tommaso; Bacciu, Davide; Passarella, Andrea
A Protocol for Continual Explanation of SHAP
2023-01-01 Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide
A Tropical View of Graph Neural Networks
2023-01-01 Landolfi, Francesco; Bacciu, Davide; Numeroso, Danilo
AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence
2023-01-01 Lomonaco, Vincenzo; Caro, Valerio De; Gallicchio, Claudio; Carta, Antonio; Sardianos, Christos; Varlamis, Iraklis; Tserpes, Konstantinos; Coppola, Massimo; Marmpena, Mina; Politi, Sevasti; Schoitsch, Erwin; Bacciu, Davide
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
2023-01-01 Gravina, Alessio; Bacciu, Davide; Gallicchio, Claudio
Class-Incremental Learning with Repetition
2023-01-01 Hemati, Hamed; Cossu, Andrea; Carta, Antonio; Hurtado, Julio; Pellegrini, Lorenzo; Bacciu, Davide; Lomonaco, Vincenzo; Damian, Borth
Communication-Efficient Ridge Regression in Federated Echo State Networks
2023-01-01 De Caro, Valerio; Di Mauro, Antonio; Bacciu, Davide; Gallicchio, Claudio
Continual adaptation of federated reservoirs in pervasive environments
2023-01-01 De Caro, V.; Gallicchio, C.; Bacciu, D.
Deep Graph Networks for Drug Repurposing with Multi-Protein Targets
2023-01-01 Bacciu, Davide; Errica, Federico; Gravina, Alessio; Madeddu, Lorenzo; Podda, Marco; Stilo, Giovanni
Dual Algorithmic Reasoning
2023-01-01 Numeroso, Danilo; Bacciu, Davide
ECGAN: Self-supervised Generative Adversarial Network for Electrocardiography
2023-01-01 Simone, L.; Bacciu, D.
Explaining Deep Graph Networks via Input Perturbation
2023-01-01 Bacciu, Davide; Numeroso, Danilo
Generalizing Downsampling from Regular Data to Graphs
2023-01-01 Bacciu, Davide; Conte, Alessio; Landolfi, Francesco
Graph Representation Learning
2023-01-01 Bacciu, Davide; Errica, Federico; Micheli, Alessio; Navarin, Nicolò; Pasa, Luca; Podda, Marco; Zambon, Daniele
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Continual pre-training mitigates forgetting in language and vision | 1-gen-2024 | Cossu, Andrea; Carta, Antonio; Passaro, Lucia; Lomonaco, Vincenzo; Tuytelaars, Tinne; Bacciu, Davide | |
| Deep Learning for Dynamic Graphs: Models and Benchmarks | 1-gen-2024 | Gravina, Alessio; Bacciu, Davide | |
| Deep Reinforcement Learning for Network Slice Placement and the DeepNetSlice Toolkit | 1-gen-2024 | Pasquali, Alex; Lomonaco, Vincenzo; Bacciu, Davide; Paganelli, Federica | |
| Drifting explanations in continual learning | 1-gen-2024 | Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide | |
| Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning | 1-gen-2024 | Carta, Antonio; Cossu, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; van de Weijer, Joost | |
| Random Oscillators Network for Time Series Processing | 1-gen-2024 | Ceni, Andrea; Cossu, Andrea; Stolzle, Maximilian; Liu, Jingyue; DELLA SANTINA, Cosimo; Bacciu, Davide; Gallicchio, Claudio | |
| A 2-Phase Strategy for Intelligent Cloud Operations | 1-gen-2023 | Lanciano, Giacomo; Andreoli, Remo; Cucinotta, Tommaso; Bacciu, Davide; Passarella, Andrea | |
| A Protocol for Continual Explanation of SHAP | 1-gen-2023 | Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide | |
| A Tropical View of Graph Neural Networks | 1-gen-2023 | Landolfi, Francesco; Bacciu, Davide; Numeroso, Danilo | |
| AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence | 1-gen-2023 | Lomonaco, Vincenzo; Caro, Valerio De; Gallicchio, Claudio; Carta, Antonio; Sardianos, Christos; Varlamis, Iraklis; Tserpes, Konstantinos; Coppola, Massimo; Marmpena, Mina; Politi, Sevasti; Schoitsch, Erwin; Bacciu, Davide | |
| Anti-Symmetric DGN: a stable architecture for Deep Graph Networks | 1-gen-2023 | Gravina, Alessio; Bacciu, Davide; Gallicchio, Claudio | |
| Class-Incremental Learning with Repetition | 1-gen-2023 | Hemati, Hamed; Cossu, Andrea; Carta, Antonio; Hurtado, Julio; Pellegrini, Lorenzo; Bacciu, Davide; Lomonaco, Vincenzo; Damian, Borth | |
| Communication-Efficient Ridge Regression in Federated Echo State Networks | 1-gen-2023 | De Caro, Valerio; Di Mauro, Antonio; Bacciu, Davide; Gallicchio, Claudio | |
| Continual adaptation of federated reservoirs in pervasive environments | 1-gen-2023 | De Caro, V.; Gallicchio, C.; Bacciu, D. | |
| Deep Graph Networks for Drug Repurposing with Multi-Protein Targets | 1-gen-2023 | Bacciu, Davide; Errica, Federico; Gravina, Alessio; Madeddu, Lorenzo; Podda, Marco; Stilo, Giovanni | |
| Dual Algorithmic Reasoning | 1-gen-2023 | Numeroso, Danilo; Bacciu, Davide | |
| ECGAN: Self-supervised Generative Adversarial Network for Electrocardiography | 1-gen-2023 | Simone, L.; Bacciu, D. | |
| Explaining Deep Graph Networks via Input Perturbation | 1-gen-2023 | Bacciu, Davide; Numeroso, Danilo | |
| Generalizing Downsampling from Regular Data to Graphs | 1-gen-2023 | Bacciu, Davide; Conte, Alessio; Landolfi, Francesco | |
| Graph Representation Learning | 1-gen-2023 | Bacciu, Davide; Errica, Federico; Micheli, Alessio; Navarin, Nicolò; Pasa, Luca; Podda, Marco; Zambon, Daniele |