About
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Introduction
Danilo Crisci graduated with honours in Mathematics. During
the master's thesis project, he contributed to the
research activity of MODAL Research Lab (Dept of
Mathematics and Applications, University
of Naples Federico II), exploring Deep
Learning methodologies and their applications. Currently, he works as Research Fellow at BAEDA
Research Lab (Dept of Energy, Politecnico di Torino),
aiming to develop and implement advanced Machine Learning
processes in the field of building energy management.
Current institution
Additional affiliations
June 2020 - present
Education
March 2016 - May 2020
November 2010 - March 2016
Publications
Publications (3)
Potential Celiac Patients (PCD) bear the Celiac Disease (CD) genetic predisposition, a significant production of antihuman transglutaminase antibodies, but no morphological changes in the small bowel mucosa. A minority of patients (17%) showed clinical symptoms and need a gluten free diet at time of diagnosis, while the majority progress over sever...
Nowadays, data-driven methodologies based on the clinical history of patients represent a promising research field in which personalized and intelligent healthcare systems can be opportunely designed and developed. In this perspective, Machine Learning (ML) algorithms can be efficiently adopted to deploy smart services to enhance the overall qualit...
Nowadays, a sustainable and smart city focuses on energy efficiency and the reduction of polluting emissions through smart mobility projects and initiatives to "sensitize" infrastructure. Smart parking is one of the building blocks of intelligent mobility, innovative mobility that aims to be flexible, integrated and sustainable, and consequently in...