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Mostrati risultati da 1 a 8 di 8
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
Predicting Long-COVID Sequelae: A Multi-Label Classification Approach
2025-01-01 Bellan, Mattia; Chiocchetti, A.; Dossena, Marco; Irwin, C.; Piovesan, L.; Portinale, L.
Graph Representation Learning for IBD Diagnosis based on Microbiome Metaomic Data
2025-01-01 Irwin, Christopher; Mignone, Flavio; Montani, Stefania; Portinale, Luigi
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
Graph Neural Diffusion: an approach based on diffusion PDE
2023-01-01 Aceto, L.; Dossena, M.; Grassi, P.; Irwin, C.; Montani, S.; Portinale, L.
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
2023-01-01 Dossena, M.; Irwin, C.; Leonardi, G.; Montani, S.
A Multi-label Classification Study for the Prediction of Long-COVID Syndrome
2023-01-01 Dossena, Marco; Irwin, Christopher; Piovesan, Luca; Portinale, Luigi
Graph-based Recommendation using Graph Neural Networks
2022-01-01 Dossena, Marco; Portinale, Luigi; Irwin, Christopher
Mostrati risultati da 1 a 8 di 8
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