Francisco Javier Torrealdea

Genetic Algorithms Elitist Probabilistic of Degree 1, a generalization of Simulated Annealing

Pedro Larrañaga, Manuel Graña, Alicia D'Anjou, 1993, AI*IA.

A Comparison of Experimental Results with an Evolution Strategy and Competitive Neural Networks for Near Real-Time Color Quantization of Image Sequences

Manuel Graña, F. Xabier Albizuri, Alicia D'Anjou, 2004, Applied Intelligence.

Feedback Synchronization of Chaotic Systems

Manuel Graña, Alicia D'Anjou, Abdelmalik Moujahid, 2003, Int. J. Bifurc. Chaos.

A Near Real-Time Evolution-Based Adaptation Strategy for Dynamic Color Quantization of Image Sequences

Manuel Graña, F. Xabier Albizuri, Alicia D'Anjou, 2000, Inf. Sci..

Experiments of Fast Learning with High Order Boltzmann Machines

Manuel Graña, F. Xabier Albizuri, Alicia D'Anjou, 2004, Applied Intelligence.

A Gradient Descent MRI Illumination Correction Algorithm

Manuel Graña, M. Garcia, Francisco Javier Torrealdea, 2005, IWANN.

Energetic considerations on the dynamics of Hodgkin-Huxley neurons

Alicia D'Anjou, Francisco Torrealdea, Abdelmalik Moujahid, 2010, 2010 Sixth International Conference on Natural Computation.

On the Application of Associative Morphological Memories to Hyperspectral Image Analysis

Manuel Graña, Alicia D'Anjou, Josune Gallego, 2003, IWANN.

Energy efficiency of information transmission by electrically coupled neurons

Alicia D'Anjou, Abdelmalik Moujahid, Nieves Vélez de Mendizábal, 2009, Biosyst..

The high-order Boltzmann machine: learned distribution and topology

Manuel Graña, F. Xabier Albizuri, Alicia D'Anjou, 1995, IEEE Trans. Neural Networks.

Cost of synchronizing different chaotic systems

Manuel Graña, Alicia D'Anjou, Francisco Javier Torrealdea, 2002, Math. Comput. Simul..

Energy Cost Reduction in the Synchronization of a Pair of Nonidentical Coupled Hindmarsh-Rose Neurons

Alicia D'Anjou, Francisco Torrealdea, Abdelmalik Moujahid, 2010, PAAMS.

A parametric gradient descent MRI intensity inhomogeneity correction algorithm

Manuel Graña, Maite García-Sebastián, Francisco Javier Torrealdea, 2007, Pattern Recognit. Lett..

Local Stochastic Competition and Vector Quantization

Manuel Graña, F. Xabier Albizuri, Alicia D'Anjou, 1993, IWANN.

Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis

Joaquín Goñi, Pablo Villoslada, Ricard V. Solé, 2011, BMC Systems Biology.

Control of chaotic behaviour with ANN

Alicia D'Anjou, Francisco Javier Torrealdea, Cecilia Sarasola, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

On the Study of Genetic Algorithms to Evaluate Simplified Models for Protein Structure Prediction

Manuel Graña, Carmen Hernández, Francisco Javier Torrealdea, 2002, JCIS.