Programme
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 |