IRWIN, Christopher
IRWIN, Christopher
Dipartimento di Scienze e Innovazione Tecnologica
A Multi-label Classification Study for the Prediction of Long-COVID Syndrome
2023-01-01 Dossena, Marco; Irwin, Christopher; Piovesan, Luca; Portinale, Luigi
Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype Classification
2025-01-01 Dossena, Marco; Irwin, Christopher; Chiocchetti, Annalisa; Portinale, Luigi
Gait Monitoring and Analysis: A Mathematical Approach
2023-01-01 Canonico, Massimo; Desimoni, Francesco; Ferrero, Alberto; Grassi, Pietro; Irwin, Christopher; Campani, Daiana; DAL MOLIN, Alberto; Panella, Massimiliano; Magistrelli, Luca
Graph Neural Diffusion: an approach based on diffusion PDE
2023-01-01 Aceto, L.; Dossena, M.; Grassi, P.; Irwin, C.; Montani, S.; Portinale, L.
Graph Representation Learning for IBD Diagnosis based on Microbiome Metaomic Data
2025-01-01 Irwin, Christopher; Mignone, Flavio; Montani, Stefania; Portinale, Luigi
Graph-based Recommendation using Graph Neural Networks
2022-01-01 Dossena, Marco; Portinale, Luigi; Irwin, Christopher
Predicting Long-COVID Sequelae: A Multi-Label Classification Approach
2025-01-01 Bellan, Mattia; Chiocchetti, A.; Dossena, Marco; Irwin, C.; Piovesan, L.; Portinale, L.
Structural positional encoding for knowledge integration in transformer-based medical process monitoring and trace classification
2024-01-01 Irwin, Christopher; Dossena, Marco; Leonardi, Giorgio; Montani, Stefania
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
2023-01-01 Dossena, M.; Irwin, C.; Leonardi, G.; Montani, S.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Multi-label Classification Study for the Prediction of Long-COVID Syndrome | 1-gen-2023 | Dossena, Marco; Irwin, Christopher; Piovesan, Luca; Portinale, Luigi | |
| Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype Classification | 1-gen-2025 | Dossena, Marco; Irwin, Christopher; Chiocchetti, Annalisa; Portinale, Luigi | |
| Gait Monitoring and Analysis: A Mathematical Approach | 1-gen-2023 | Canonico, Massimo; Desimoni, Francesco; Ferrero, Alberto; Grassi, Pietro; Irwin, Christopher; Campani, Daiana; DAL MOLIN, Alberto; Panella, Massimiliano; Magistrelli, Luca | |
| Graph Neural Diffusion: an approach based on diffusion PDE | 1-gen-2023 | Aceto, L.; Dossena, M.; Grassi, P.; Irwin, C.; Montani, S.; Portinale, L. | |
| Graph Representation Learning for IBD Diagnosis based on Microbiome Metaomic Data | 1-gen-2025 | Irwin, Christopher; Mignone, Flavio; Montani, Stefania; Portinale, Luigi | |
| Graph-based Recommendation using Graph Neural Networks | 1-gen-2022 | Dossena, Marco; Portinale, Luigi; Irwin, Christopher | |
| Predicting Long-COVID Sequelae: A Multi-Label Classification Approach | 1-gen-2025 | Bellan, Mattia; Chiocchetti, A.; Dossena, Marco; Irwin, C.; Piovesan, L.; Portinale, L. | |
| Structural positional encoding for knowledge integration in transformer-based medical process monitoring and trace classification | 1-gen-2024 | Irwin, Christopher; Dossena, Marco; Leonardi, Giorgio; Montani, Stefania | |
| Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring | 1-gen-2023 | Dossena, M.; Irwin, C.; Leonardi, G.; Montani, S. |