General
Description
Internal transversal research project that aims to bring together the know-how in machine learning and deep learning in the IAC. This project encapsulates the knowledge of machine learning in the center and is the point of consultation or discussion for any problem related to machine learning. In this sense, it is a line of research that is a bit peculiar due to its transversality and consultative nature, but we believe that it can generate the seed to create a collaborative environment between different IAC research lines around the topic of machine learning.
More details on https://iacdeep.github.io/home/
Members
Principal investigator
Andrés
Asensio Ramos
Marc
Huertas-Portocarrero Company
Project staff
Eirini
Angeloudi
Christopher
Brook
Arianna
Di Cintio
Jesús
Falcón Barroso
Tobías
Felipe García
Ignacio Alfonso
Ferreras Páez
Elena
García Broock
Andrés
Vicente Arévalo
Carlos
Westendorp Plaza
Guillaume Frederic Jean Claude
Thomas
Héctor David
Socas Navarro
Ignacio
Martín Navarro
Nataliya
Ramos Chernenko
Patricia
Iglesias Navarro
Collaborators
Johan Hendrik
Knapen Koelstra
María Jesús
Martínez González
Scientific activity
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