Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ivan, Girardi"'
Autor:
Ivan, Girardi, Panagiotis, Vagenas, Dario, Arcos-D Iaz, Lydia, Bessa I, Alexander, Bu Sser, Ludovico, Furlan, Raffaello, Furlan, Mauro, Gatti, Andrea, Giovannini, Ellen, Hoeven, Chiara, Marchiori
Publikováno v:
AMIA Annu Symp Proc
We develop various AI models to predict hospitalization on a large (over 110k) cohort of COVID-19 positive-tested US patients, sourced from March 2020 to February 2021. Models range from Random Forest to Neural Network (NN) and Time Convolutional NN,
Autor:
Ivan Girardi, Chiara Marchiori, Christoph Auer, Bartosz Nadworny, Andrea Giovannini, Matthias Reumann
Publikováno v:
EMBC
There are between 6,000 - 7,000 known rare diseases today. Identifying and diagnosing a patient with rare disease is time consuming, cumbersome, cost intensive and requires resources generally available only at large hospital centers. Furthermore, mo
Autor:
Nora Hollenstein, Pengfei Ji, Adam Ivankay, Chiara Marchiori, Lorenz Kuhn, An-phi Nguyen, Ivan Girardi, Ce Zhang
Publikováno v:
Louhi@EMNLP
We present an operational component of a real-world patient triage system. Given a specific patient presentation, the system is able to assess the level of medical urgency and issue the most appropriate recommendation in terms of best point of care a
Publikováno v:
Proceedings of The European Physical Society Conference on High Energy Physics — PoS(EPS-HEP2015).
Establishing the status of the CP symmetry in the lepton sector is one of the major goals of the programme of future research in neutrino physics. In the reference 3-neutrino mixing scheme CP-violating effects in neutrino oscillations can be caused b
Autor:
GOYAL, SHREYA1 sgoyal0228@gmail.com, DODDAPANENI, SUMANTH1 dsumanth17@gmail.com, KHAPRA, MITESH M.1 miteshk@cse.iitm.ac.in, RAVINDRAN, BALARAMAN1 ravi@cse.iitm.ac.in
Publikováno v:
ACM Computing Surveys. 2023 Suppl14s, Vol. 55, p1-39. 39p.
Publikováno v:
ACM Transactions on Software Engineering & Methodology; Mar2024, Vol. 33 Issue 3, p1-41, 41p
Publikováno v:
Ivankay, Adam, Ivan Girardi, Chiara Marchiori, and Pascal Frossard. "FAR: A General Framework for Attributional Robustness." (2021). BMVC 2021
Attribution maps are popular tools for explaining neural networks predictions. By assigning an importance value to each input dimension that represents its impact towards the outcome, they give an intuitive explanation of the decision process. Howeve
Externí odkaz:
http://arxiv.org/abs/2010.07393
Publikováno v:
Progress of Theoretical & Experimental Physics: PTEP; Sep2022, Vol. 2022 Issue 9, p1-29, 29p
Publikováno v:
Journal of High Energy Physics; Feb2014, Vol. 2014 Issue 2, p1-42, 42p