Pedro Larrañaga gave the presentation: “Interpretable Artificial Intelligence”
In this conference, the interpretability potential of the paradigm known as the Bayesian network is analyzed.
Exploring Computational Intelligence and Data-Driven Neuroscience
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.
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
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
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.
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
