Pedro Larrañaga gave the presentation: “Interpretable Artificial Intelligence”
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In this conference, the interpretability potential of the paradigm known as the Bayesian network is analyzed.
Exploring Computational Intelligence and Data-Driven Neuroscience
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Professor Bielza talks about the creation of models from data to tackle
diverse research inquiries.
ELLIS Unit Madrid members are organising workshops at top-level AI Congresses.
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This is the first international challenge aiming to explore the use of synthetic data in face recognition.
Advances in artificial intelligence at the service of social development
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The role of digitization as a tool for economic growth and social cohesion will be addressed.
Tool trying on clothes showing how they fit in 3D
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Dan Casas develops a tool with AI that will allow you to try on clothes and see how they look in three dimensions.
Artificial Intelligence: Past, Present, and Future.
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Second IPARCOS Workshop on Machine Learning and Applications to Physics. Keynote talk by Prof. Pedro Larrañaga.
Artificial Intelligence: Past, Present and Future
Pedro Larrañaga leads a talk at the Faculty of Physics of the Complutense University of Madrid with the title “Artificial Intelligence: Past, Present and Future”. Related: Artificial Intelligence: Past, Present, and Future.
Anomaly Detection from Low-dimensional Latent Manifolds with Home Environmental Sensors
Authors: F. M. Melgarejo Meseguer, Bleda Tomás, A, Eduardo-Abbenante, S, Gimeno-Blanes, J; Everss, E, S. Muñoz-Romero, JL Rojo-Álvarez, Maestre-Ferriz, R. Full article: IEEE Internet of Things Journal
A Baseline for Efficient and Interpretable Goal-based Vehicle Motion Prediction
Authors: C. Gómez-Huélamo, M. V. Conde, R. Barea, M. Ocaña, L. M. Bergasa. Full article: IEEE Transactions on Intelligent Transportation Systems
Learning massive interpretable gene regulatory networks of the human brain by merging Bayesian networks
Authors: N. Bernaola, M. Michiels, P. Larra~naga, C. Bielza. Full article: Plos Computational Biology