1 code implementation • 6 Feb 2023 • Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Andrea Gasparetto, Andrea Albarelli
In recent years, the employment of deep learning methods has led to several significant breakthroughs in artificial intelligence.
no code implementations • 29 Dec 2022 • Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Andrea Gasparetto, Andrea Albarelli
Thus, there is an arising need for automation in fruit ripeness classification.
no code implementations • 29 Dec 2022 • Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco Nobile, Cristina Conati
EXplainable Artificial Intelligence (XAI) is a vibrant research topic in the artificial intelligence community, with growing interest across methods and domains.
2 code implementations • 15 Nov 2022 • Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu
The opacity of deep learning models constrains their debugging and improvement.
1 code implementation • 15 Jun 2021 • Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu
We extend this architecture with different models obtained by (i) substituting the TCCNet submodules with C4, the state-of-the-art method for CCC targeting images; (ii) adding a cascading strategy to perform an iterative improvement of the estimate of the illuminant.