HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper). - Iacopo Colonnelli; Barbara Cantalupo; Roberto Esposito; Matteo Pennisi; Concetto Spampinato; Marco Aldinucci (PARMA-DITAM@HiPEAC, 2021)

Self-improving classification performance through GAN distillation. - Matteo Pennisi; Simone Palazzo; Concetto Spampinato (ICCVW, 2021)

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans. - 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; et al. (Artif. Intell. Medicine, 2021)

An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scans. - Matteo Pennisi; Isaak Kavasidis; Concetto Spampinato; Vincenzo Schininà; Simone Palazzo; Francesco Rundo; Massimo Cristofaro; Paolo Campioni; Elisa Pianura; Federica Di Stefano 002; Ada Petrone; Fabrizio Albarello; et al. (CoRR, 2021)

Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis. - Iacopo Colonnelli; Barbara Cantalupo; Concetto Spampinato; Matteo Pennisi; Marco Aldinucci (CoRR, 2021)

Transfer Without Forgetting. - Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Concetto Spampinato; Simone Calderara (ECCV (23), 2022)

Effects of Auxiliary Knowledge on Continual Learning. - Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Lorenzo Bonicelli; Matteo Boschini; Simone Calderara (ICPR, 2022)

GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging. - Matteo Pennisi; Federica Proietto Salanitri; Simone Palazzo; Carmelo Pino; Francesco Rundo; Daniela Giordano; Concetto Spampinato (DeCaF/FAIR@MICCAI, 2022)

Effects of Auxiliary Knowledge on Continual Learning. - Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Lorenzo Bonicelli; Matteo Boschini; Simone Calderara; Concetto Spampinato (CoRR, 2022)

Decentralized Distributed Learning with Privacy-Preserving Data Synthesis. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Bruno Casella; Marco Aldinucci; Simone Palazzo; Concetto Spampinato (CoRR, 2022)

Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data. - Federica Proietto Salanitri; Giovanni Bellitto; Raffaele Mineo; Matteo Pennisi; Amelia Sorrenti; Salvatore Calcagno 002; Daniela Giordano; Simone Palazzo; Concetto Spampinato (BIBM, 2023)

Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Concetto Spampinato; Simone Palazzo; Bruno Casella; Marco Aldinucci (ICCV (Workshops), 2023)

Selective Freezing for Efficient Continual Learning. - Amelia Sorrenti; Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Concetto Spampinato; Simone Palazzo (ICCV (Workshops), 2023)

FeDZIO: Decentralized Federated Knowledge Distillation on Edge Devices. - Luca Palazzo; Matteo Pennisi; Giovanni Bellitto; Isaak Kavasidis (ICIAP Workshops (2), 2023)

A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Ulas Bagci; Concetto Spampinato (MICCAI (3), 2023)

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning. - Lorenzo Bonicelli; Matteo Boschini; Emanuele Frascaroli; Angelo Porrello; Matteo Pennisi; Giovanni Bellitto; Simone Palazzo; Concetto Spampinato; Simone Calderara (CoRR, 2023)

FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning. - Luca Palazzo; Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Concetto Spampinato (ICPR (25), 2024)

Saliency-driven Experience Replay for Continual Learning. - Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara; Simone Palazzo; Concetto Spampinato (NeurIPS, 2024)

Selective Attention-based Modulation for Continual Learning. - Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Matteo Boschini; Angelo Porrello; Simone Calderara; Simone Palazzo; Concetto Spampinato (CoRR, 2024)

Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models. - Matteo Pennisi; Giovanni Bellitto; Simone Palazzo; Mubarak Shah; Concetto Spampinato (CoRR, 2024)

FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Bruno Casella; Marco Aldinucci; Simone Palazzo; Concetto Spampinato (Comput. Vis. Image Underst., 2024)

Wake-Sleep Consolidated Learning. - Amelia Sorrenti; Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Simone Palazzo; Concetto Spampinato (IEEE Trans. Neural Networks Learn. Syst., 2025)