Résultat(s) 1 - 4 résultats de 4 pour la requête 'Scarpiniti, Michele' Aller au contenu
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Résultat(s) 1 - 4 résultats de 4 pour la requête 'Scarpiniti, Michele', Temps de recherche: 2,34s Affiner les résultats
  1. 1
    How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study
    How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study
    par Sarv Ahrabi, Sima
    Publié dans: The Journal of supercomputing (2023)
    Autres auteurs: “...Scarpiniti, Michele...”

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  2. 2
    Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images
    Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images
    par Baccarelli, Enzo
    Publié dans: Expert systems with applications (2023)
    Autres auteurs: “...Scarpiniti, Michele...”

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  3. 3
    Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans
    Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans
    par Sarv Ahrabi, Sima
    Publié dans: The Journal of supercomputing (2022)
    Autres auteurs: “...Scarpiniti, Michele...”

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  4. 4
    A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection
    A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection
    par Scarpiniti, Michele
    Publié dans: Expert systems with applications (2022)

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Sujets similaires

Journal Article COVID-19 Anomaly detection BiGAN CAE COVID-19 detection Complexity-vs.-accuracy comparisons Computed Tomography (CT) Convolutional autoencoders Coronavirus disease 2019 CycleGAN Deep convolutional autoEencoder Deep denoising autoencoder Feature learning Feature-aided SISR Hidden feature extraction Hidden representation Kernel density estimation Noise reduction Pneumonia Reconstruction error Single-Image Super-Resolution (SISR) Task-awareness Transfer learning Twinned Residual Auto-Encoder (TRAE) Unsupervised-vs.-weakly supervised learning
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