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Featured Co-authors

Marco Cristani
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research

∙ 07/13/2023

Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0

Industry 4.0 involves the integration of digital technologies, such as I...

0 Luigi Capogrosso, et al. ∙

research

∙ 07/16/2021

Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study

Computer-aided analysis of biological images typically requires extensiv...

11 Alessio Mascolini, et al. ∙

research

∙ 03/24/2021

W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality

Convolutional Neural Networks (CNNs) are supposed to be fed with only hi...

0 Francesco Ponzio, et al. ∙