Matteo Pennisi

According to our database, Matteo Pennisi authored at least 20 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

<i>FedER</i>: 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., January, 2024

Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models.

Matteo Pennisi, Giovanni Bellitto, Simone Palazzo, Mubarak Shah, Concetto Spampinato

CoRR, 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

Wake-Sleep Consolidated Learning.

Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Simone Palazzo, Concetto Spampinato

CoRR, 2024

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

FeDZIO: Decentralized Federated Knowledge Distillation on Edge Devices.

Luca Palazzo, Matteo Pennisi, Giovanni Bellitto, Isaak Kavasidis

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Selective Freezing for Efficient Continual Learning.

Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Concetto Spampinato, Simone Palazzo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data.

Federica Proietto Salanitri, Giovanni Bellitto, Raffaele Mineo, Matteo Pennisi, Amelia Sorrenti, Salvatore Calcagno, Daniela Giordano, Simone Palazzo, Concetto Spampinato

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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

Effects of Auxiliary Knowledge on Continual Learning.

Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara, Concetto Spampinato

CoRR, 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

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Effects of Auxiliary Knowledge on Continual Learning.

Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Transfer Without Forgetting.

Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara

Proceedings of the Computer Vision - ECCV 2022, 2022

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

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, Ada Petrone, Fabrizio Albarello, Giuseppe Ippolito, Salvatore Cuzzocrea, Sabrina Conoci

CoRR, 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, Federica Di Stefano, Ada Petrone, Fabrizio Albarello, Giuseppe Ippolito, Salvatore Cuzzocrea, Sabrina Conoci

Artif. Intell. Medicine, 2021

Self-improving classification performance through GAN distillation.

Matteo Pennisi, Simone Palazzo, Concetto Spampinato

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper).

Iacopo Colonnelli, Barbara Cantalupo, Roberto Esposito, Matteo Pennisi, Concetto Spampinato, Marco Aldinucci

Proceedings of the 12th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and 10th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2021