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Expertise Math, physics, data science, machine learning, deep learning, natural language processing, graph theory. Francisco holds a degree in Computer Science from the University of Porto, and a Ph.D. in Signal Processing from the école polytechnique fédérale de Lausanne (EPFL). He is currently leading the development of EPFL's data intelligence infrastructure for institutional data, as well as its new ML/Graph-powered search engine (graphsearch.epfl.ch). His interests lie in the intersection between educational sciences and artificial intelligence.
Veuillez noter qu'il ne s'agit pas d'une liste complète des publications de cette personne. Elle inclut uniquement les travaux sémantiquement pertinents. Pour une liste complète, veuillez consulter Infoscience.
Francisco Pereira Correia Pinto
Martin Vetterli, Francisco Pereira Correia Pinto
Francisco Pereira Correia Pinto, Ramtin Yazdanian