Search research articles
Contact Us
Filters
Showing results (1-10 of 9) with videos related to
Page
of 1
Sort By:
IEEE Transactions on Neural Networks and Learning Systems
|
May 9, 2014
Entropy-based incremental variational Bayes learning of Gaussian mixtures
Antonio Peñalver, Francisco Escolano
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
February 2, 2008
Two Bayesian methods for junction classification
Miguel A Cazorla, Francisco Escolano
Neural Networks : the Official Journal of the International Neural Network Society
|
November 12, 2024
Node classification in the heterophilic regime via diffusion-jump GNNs
Ahmed Begga, Francisco Escolano, Miguel Ángel Lozano
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
May 17, 2012
Heat diffusion: thermodynamic depth complexity of networks
Francisco Escolano, Edwin R Hancock, Miguel A Lozano
Entropy (Basel, Switzerland)
|
March 28, 2025
Edge-Centric Embeddings of Digraphs: Properties and Stability Under Sparsification
Ahmed Begga, Francisco Escolano Ruiz, Miguel Ángel Lozano
IEEE Journal of Biomedical and Health Informatics
|
May 13, 2014
Aerial obstacle detection with 3-D mobile devices
Juan Manuel Sáez, Francisco Escolano, Miguel Angel Lozano
IEEE Transactions on Neural Networks
|
September 23, 2009
Learning Gaussian mixture models with entropy-based criteria
Antonio Penalver Benavent, Francisco Escolano Ruiz, Juan Manuel Saez
Entropy (Basel, Switzerland)
|
December 8, 2020
Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor
Manuel Curado, Francisco Escolano, Miguel A Lozano, et al.
Frontiers in Public Health
|
January 1, 2024
Predicting COVID-19 pandemic waves including vaccination data with deep learning
Ahmed Begga, Òscar Garibo-I-Orts, Sergi de María-García, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
IEEE Transactions on Neural Networks and Learning Systems
|
May 9, 2014
Entropy-based incremental variational Bayes learning of Gaussian mixtures
Antonio Peñalver, Francisco Escolano
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
February 2, 2008
Two Bayesian methods for junction classification
Miguel A Cazorla, Francisco Escolano
Neural Networks : the Official Journal of the International Neural Network Society
|
November 12, 2024
Node classification in the heterophilic regime via diffusion-jump GNNs
Ahmed Begga, Francisco Escolano, Miguel Ángel Lozano
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
May 17, 2012
Heat diffusion: thermodynamic depth complexity of networks
Francisco Escolano, Edwin R Hancock, Miguel A Lozano
Entropy (Basel, Switzerland)
|
March 28, 2025
Edge-Centric Embeddings of Digraphs: Properties and Stability Under Sparsification
Ahmed Begga, Francisco Escolano Ruiz, Miguel Ángel Lozano
IEEE Journal of Biomedical and Health Informatics
|
May 13, 2014
Aerial obstacle detection with 3-D mobile devices
Juan Manuel Sáez, Francisco Escolano, Miguel Angel Lozano
IEEE Transactions on Neural Networks
|
September 23, 2009
Learning Gaussian mixture models with entropy-based criteria
Antonio Penalver Benavent, Francisco Escolano Ruiz, Juan Manuel Saez
Entropy (Basel, Switzerland)
|
December 8, 2020
Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor
Manuel Curado, Francisco Escolano, Miguel A Lozano, et al.
Frontiers in Public Health
|
January 1, 2024
Predicting COVID-19 pandemic waves including vaccination data with deep learning
Ahmed Begga, Òscar Garibo-I-Orts, Sergi de María-García, et al.
Page
of 1