Lunches and dinners will be for keynote and invited speakers only.

Time April 6th April 7th April 8th
09:30 - 10:45 Keynote Talk: Concha Bielza
Interpretable machine learning applied to Covid-19
Keynote Talk: Laure Wynants
A journey through the disorderly world of diagnostic and prognostic models for covid-19: a living systematic review
Keynote Talk: Emilie Chouzenoux
Data Science and Artificial Intelligence for healthcare: Covid-19 use case
10:45 - 11:15 Break Break 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
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
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 Lunch Break Lunch Break
15:30 - 17:30 Xavi Barber Vallés
Valencian IA Taskforce against Covid-19: a multidisciplinary approach
Guillermo Quindos
Artificial Intelligence and the COVID-19 pandemic, concerns of a microbiologist

Iñaki Gutiérrez Ibarlucea
Public Procurement in times of pandemic, the need for data and its analysis