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Journal Articles
- 2024
[j2]Matteo Pennisi
, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato:
FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis. Comput. Vis. Image Underst. 238: 103882 (2024)- 2021
- [j1]Matteo Pennisi, Isaak Kavasidis, Concetto Spampinato, Vincenzo Schininà, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Francesco Rundo, Marco Aldinucci, Massimo Cristofaro, Paolo Campioni, Elisa Pianura, Federica Di Stefano, Ada Petrone, Fabrizio Albarello, Giuseppe Ippolito, Salvatore Cuzzocrea, Sabrina Conoci:
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans. Artif. Intell. Medicine 118: 102114 (2021)
Conference and Workshop Papers
- 2024
- [c12]Luca Palazzo, Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato:
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning. ICPR (25) 2024: 79-94 - [c11]Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato:
Saliency-driven Experience Replay for Continual Learning. NeurIPS 2024 - 2023
- [c10]Federica Proietto Salanitri, Giovanni Bellitto, Raffaele Mineo, Matteo Pennisi, Amelia Sorrenti, Salvatore Calcagno, Daniela Giordano, Simone Palazzo, Concetto Spampinato:
Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data. BIBM 2023: 2201-2206 - [c9]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato, Simone Palazzo, Bruno Casella, Marco Aldinucci:
Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. ICCV (Workshops) 2023: 3368-3375 - [c8]Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Concetto Spampinato, Simone Palazzo:
Selective Freezing for Efficient Continual Learning. ICCV (Workshops) 2023: 3542-3551 - [c7]Luca Palazzo, Matteo Pennisi, Giovanni Bellitto, Isaak Kavasidis:
FeDZIO: Decentralized Federated Knowledge Distillation on Edge Devices. ICIAP Workshops (2) 2023: 201-210 - [c6]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. MICCAI (3) 2023: 422-431 - 2022
- [c5]Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara:
Transfer Without Forgetting. ECCV (23) 2022: 692-709 - [c4]Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara:
Effects of Auxiliary Knowledge on Continual Learning. ICPR 2022: 1357-1363 - [c3]Matteo Pennisi, Federica Proietto Salanitri, Simone Palazzo, Carmelo Pino, Francesco Rundo, Daniela Giordano, Concetto Spampinato:
GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging. DeCaF/FAIR@MICCAI 2022: 68-78 - 2021
- [c2]Iacopo Colonnelli, Barbara Cantalupo, Roberto Esposito, Matteo Pennisi, Concetto Spampinato, Marco Aldinucci:
HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper). PARMA-DITAM@HiPEAC 2021: 5:1-5:13 - [c1]Matteo Pennisi, Simone Palazzo, Concetto Spampinato:
Self-improving classification performance through GAN distillation. ICCVW 2021: 1640-1648
Informal and Other Publications
- 2024
- [i11]Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Simone Palazzo, Concetto Spampinato:
Wake-Sleep Consolidated Learning. CoRR abs/2401.08623 (2024) - [i10]Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato:
Selective Attention-based Modulation for Continual Learning. CoRR abs/2403.20086 (2024) - [i9]Matteo Pennisi, Giovanni Bellitto, Simone Palazzo, Mubarak Shah, Concetto Spampinato:
Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models. CoRR abs/2404.02618 (2024) - [i8]Luca Palazzo, Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato:
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning. CoRR abs/2411.09842 (2024) - 2023
- [i7]Lorenzo Bonicelli, Matteo Boschini, Emanuele Frascaroli, Angelo Porrello, Matteo Pennisi, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato, Simone Calderara:
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning. CoRR abs/2305.03648 (2023) - [i6]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. CoRR abs/2307.02984 (2023) - 2022
- [i5]Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara:
Transfer without Forgetting. CoRR abs/2206.00388 (2022) - [i4]Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara, Concetto Spampinato:
Effects of Auxiliary Knowledge on Continual Learning. CoRR abs/2206.02577 (2022) - [i3]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato:
Decentralized Distributed Learning with Privacy-Preserving Data Synthesis. CoRR abs/2206.10048 (2022) - 2021
- [i2]Matteo Pennisi, Isaak Kavasidis, Concetto Spampinato, Vincenzo Schininà, Simone Palazzo, Francesco Rundo, Massimo Cristofaro, Paolo Campioni, Elisa Pianura, Federica Di Stefano, Ada Petrone, Fabrizio Albarello, Giuseppe Ippolito, Salvatore Cuzzocrea, Sabrina Conoci:
An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scans. CoRR abs/2101.11943 (2021) - [i1]Iacopo Colonnelli, Barbara Cantalupo, Concetto Spampinato, Matteo Pennisi, Marco Aldinucci:
Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis. CoRR abs/2108.01033 (2021)
Coauthor Index
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