Person
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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.
Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.
Francisco Pereira Correia Pinto
Martin Vetterli, Francisco Pereira Correia Pinto
Francisco Pereira Correia Pinto, Ramtin Yazdanian