Challenges 2019 results
In the first part, some of the winners of the 2019 Challenges present their algorithms and results:
- Christophe Leroux, present winner of the challenges (i) "Prediction of daily stock movements on the US market" proposed by Capital Fund Management and (ii) " Decoding the brain " from the ENS Computational Cognitive Neuroscience Laboratory ;
- Hugo Touvron, winner of the "Detecting breast cancer metastases" challenge proposed by Owkin ;
- David Atencia, winner of the challenges (i) "Prediction of consumption curves" proposed by Enedis and (ii) " Prediction of PM10 particle concentration" proposed by PlumeLabs ;
- Florian Pothin and Morgan Riou, winners of the "Claims prediction" challenge proposed by Generali.
A prize-giving ceremony was held for the winners of the other challenges:
- Armand Lacombe, winner of the "Deep sleep phase prediction" challenge proposed by Dreem ;
- Laurent Deborde, winner of the challenges (i) "Prediction of Sharpe ratio of financial strategies" proposed by Napoléon AM ;
- Lina Mezghani and Jean-Baptiste Sevestre, winners of the "Diagnosis of esophageal cancer" challenge proposed by Maunea Kea Technologies ;
- Emeric de Monteville, winner of the "Valuation of options by non-linear interpolation" challenge proposed by Natixis ;
- Mohamed-Haykel Zayani, French winner of the "Improving well-being in the workplace" challenge proposed by Oze-Energies ;
- Yohann Le Faou, winner of the "Classifications of drug-related issues" challenge proposed by Posos ;
- Clément Roussel and Arnaud Fanthomme, winners of the "Solving the Rubik's cube 2x2x2" challenge proposed by LumenAI ;
- Winners not present for the "Prediction of electricity consumption" challenge by BCM Energy.