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- Computing and Processing
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Matteo Amestoy
Affiliation
Maastricht University, Netherlands
Topic
Academic Subjects,Action Recognition,Advances In This Area,Affective States,Collaborative Filtering,Difficulty Level,E-learning Platform,Emotion Recognition,Energy Function,Flow Theory,Frustration,Human-computer Interaction,Interactive,Knowledge Acquisition,Learning Materials,Learning Performance,Learning Platform,Learning Process,Learning Session,Matrix Factorization,Matrix Factorization Algorithm,Matrix Factorization Approach,Multimedia Content,Non-negative Matrix Factorization,Online Training,Popularity In Recent Years,Random Removal,Recommender Systems,Root Mean Square Error,User Experience,
Biography
Matteo Amestoy has worked as a research engineer in L2Technologies from 2015 to 2017, a French start-up doing research and development in artificial intelligence and learning applied to finance. He received the master's degree in statistics and machine learning from the Ecole Nationale de la Statistique et de l'Administration de l'Economie (ENSAE ParisTech) in 2015 and a master's degree in statistical treatment of information from the Paris Dauphine University. His research interests include statistics, Monte Carlo methods, deep learning, transfer learning, and game theory.