Artificial Intelligence for the Fight Against COVID-19 Workshop
Data: Az, Api 6 - Or, Api 8 2022
Ordua: 09:30
Lekua: Bizkaia Aretoa
Hizlariak: Emilie Chouzenoux, Mihaela van der Schaar, Concha Bielza, Laure Wynants
DATE: 6 - 8 April 2022
TIME: 9:30 - 17:30
LOCATION: Bizkaia Aretoa
WEB: AI4FA COVID-19
REGISTRATION: Registration for the workshop is FREE, but inscription is required before March 31st, 2022.
Registration form
The workshop will bring together multiple international researchers working on applications of Artificial Intelligence for the COVID-19 pandemic, as well as representatives from the Health Care system including physicians, biomedicine researchers, and managers of health centers.
PROGRAMME
April 6th
09:30 - 10:45 - Keynote Talk: Concha Bielza: Interpretable machine learning applied to Covid-19
10:45 - 11:15 - Break
11:15 - 13:15 - Isaac Martin de Diego: Health Sufficiency Indicators for Pandemic Monitoring
- Fernando García: Predicting the severity of SARS-CoV-2 pneumonia hospitalizations by ordinal classification approaches
13:15 - 15:30 - Lunch Break
15:30 - 17:30 - Xavi Barber Vallés: Valencian IA Taskforce against Covid-19: a multidisciplinary approach
April 7th
09:30 - 10:45 - Keynote Talk: Laure Wynants: A journey through the disorderly world of diagnostic and prognostic models for covid-19: a living systematic review
10:45 - 11:15 - Break
11:15 - 13:15 - Keynote Talk: Mihaela van der Schaar: Covid and AI: Unexpected challenges and lessons
- Santiago Mazuelas: Minimax risk classifiers for critical predictions as the prognosis of COVID-19 infections
13:15 - 15:30 - Lunch Break
15:30 - 17:30 - Guillermo Quindós:
- Iñaki Gutiérrez Ibaluzea:
April 8th
09:30 - 10:45 - Keynote Talk: Emilie Chouzenoux: Data Science and Artificial Intelligence for healthcare: Covid-19 use case
10:45 - 11:15 - Break
11:15 - 13:15 - Javier Prieto: Explainable artificial intelligence for COVID-19 epidemic monitoring and prediction
- Cristobal Esteban: Developing a machine learning-based system for the prediction of clinical deterioration in hospitalized COVID-19 patients
13:15 - 15:30 - Lunch Break
Keynote Talk
- Prof. Emilie Chouzenoux - INRIA, Université de París - Saclay
- Prof. Mihaela van der Schaar - Cambridge University
- Prof. Concha Bielza - Universidad Politécnica de Madrid
- Prof. Laure Wynants - Maastricht University
Invited Speakers
- Prof. Isaac Martín de Diego - Universidad Rey Juan Carlos & Data Science Laboratory (DSLAB)
- Dr. Javier Prieto - Universidad de Salamanca
- Prof. Santiago Mazuelas - Basque Center for Applied Mathematics (BCAM)
- Fernando García - Basque Center for Applied Mathematics (BCAM)
- Prof. Xavi Barber Vallés - Center of Operations Research, Universidad Miguel Hernández de Elche
- Iñaki Gutiérrez Ibarluzea - Basque Foundation for Health Innovation and Research (BIOEF)
- Prof. Guillermo Quindós - Universidad del País Vasco (UPV/EHU)
- Cristobal Esteban - Cambrian Intelligence SL
POSTER
Antolatzaileak:
INRIA, Université de París - Saclay, Cambridge University , Universidad Politécnica de Madrid, Maastricht University
Hizlari baieztatuak:
Emilie Chouzenoux, Mihaela van der Schaar, Concha Bielza, Laure Wynants
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