José Santos Reyes

Richard J. Duro, José Santos Reyes, José Luis Crespo, 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.

Connectionist Models for Syllabic Recognition in the Time Domain

Ramón P. Otero, José Santos Reyes, R. Otero, 1993, IWANN.

Multiobjective Optimization of the 3D Topological Active Volume Segmentation Model

Manuel G. Penedo, Jorge Novo, José Santos Reyes, 2011, ICAART.

Influence of noise on discrete time backpropagation trained networks

Richard J. Duro, José Santos Reyes, R. Duro, 2001, Neurocomputing.

Discrete-time backpropagation for training synaptic delay-based artificial neural networks

Richard J. Duro, José Santos Reyes, R. Duro, 1999, IEEE Trans. Neural Networks.

Optic Disc Segmentation by Means of GA-Optimized Topological Active Nets

Manuel G. Penedo, Jorge Novo, José Santos Reyes, 2008, ICIAR.

Study of Cancer Hallmarks Relevance Using a Cellular Automaton Tumor Growth Model

José Santos Reyes, Ángel Monteagudo, J. Reyes, 2012, PPSN.

Knowledge Refinement of an Expert System Using a Symbolic-Connectionist Approach

Ramón P. Otero, José Santos Reyes, Silvia Gómez Pose, 1997, AIME.

Optimization of Topological Active Nets with Differential Evolution

Manuel G. Penedo, Jorge Novo, José Santos Reyes, 2011, ICANNGA.

Behavior reuse and virtual sensors in the evolution of complex behavior architectures

Richard J. Duro, José Antonio Becerra, José Santos Reyes, 2001, Theory in Biosciences.

Session details: ECCSB'15 Workshop

Amarda Shehu, Julia Handl, José Santos Reyes, 2015, GECCO 2015.

Simulated Evolution of the Adaptability of the Genetic Code Using Genetic Algorithms

José Santos Reyes, Ángel Monteagudo, J. Reyes, 2007, IWINAC.

Biped locomotion control with evolved adaptive center-crossing continuous time recurrent neural networks

José Santos Reyes, Ángel Campo, J. Reyes, 2012, Neurocomputing.

Multiobjective differential evolution in the optimization of topological active models

Manuel G. Penedo, Jorge Novo, José Santos Reyes, 2013, Appl. Soft Comput..

Genetic Approaches for the Automatic Division of Topological Active Volumes

Manuel G. Penedo, Jorge Novo, Noelia Barreira, 2009, IWINAC.

Integration of Evolution with a Robot Action Selection Model

Homero V. Ríos-Figueroa, José Santos Reyes, Fernando Montes-Gonzalez, 2006, MICAI.

Evolving Neural Controllers for Temporally Dependent Behaviors in Autonomous Robots

Richard J. Duro, José Santos Reyes, 1998, IEA/AIE.

Genetic code optimality studied by means of simulated evolution and within the coevolution theory of the canonical code organization

José Santos Reyes, Ángel Monteagudo, J. Reyes, 2009, Natural Computing.

Genetic-Greedy Hybrid Approach for Topological Active Nets Optimization

Manuel G. Penedo, Óscar Ibáñez, Noelia Barreira, 2007, ICANNGA.

Optimization of Topological Active Models with Multiobjective Evolutionary Algorithms

Manuel G. Penedo, Alba Fernández, Jorge Novo, 2010, 2010 20th International Conference on Pattern Recognition.

Combination of reinforcement learning with evolution for automatically obtaining robot neural controllers

Víctor Ricardo Cruz-Álvarez, José Santos Reyes, Fernando Montes-Gonzalez, 2013, 2013 IEEE Congress on Evolutionary Computation.

Applying synaptic delays for virtual sensing and actuation in mobile robots

Richard J. Duro, Francisco Bellas, José Antonio Becerra, 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.

Pi units in temporal time delay based networks trained with discrete time backpropagation

Richard J. Duro, José Santos Reyes, 2001, Int. J. Comput. Syst. Signals.

Simulated evolution applied to study the genetic code optimality using a model of codon reassignments

José Santos Reyes, Ángel Monteagudo, J. Reyes, 2011, BMC Bioinformatics.

Pi-DTB, Discrete Time Backpropagation with Product Units

Richard J. Duro, José Santos Reyes, R. Duro, 2001, IWANN.

Complex Behaviours Through Modulation in Autonomous Robot Control

Richard J. Duro, Francisco Bellas, José Antonio Becerra, 2005, IWANN.

Emergent Protein Folding Modeled with Evolved Neural Cellular Automata Using the 3D HP Model

José Santos Reyes, Martín Diéguez, Pablo Villot, 2014, J. Comput. Biol..

Multimodule Artificial Neural Network Architectures for Autonomous Robot Control Through Behavior Modulation

Richard J. Duro, José Antonio Becerra, José Santos Reyes, 2003, IWANN.

Synaptic delay based artificial neural networks and discrete time backpropagation applied to QRS complex detection

Richard J. Duro, José Santos Reyes, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Progressive Construction of Compound Behavior Controllers for Autonomous Robots Using Temporal Information

Richard J. Duro, José Antonio Becerra, José Santos Reyes, 1999, ECAL.

Using higher order synapses and nodes to improve sensing capabilities of mobile robots

Richard J. Duro, Francisco Bellas, José Antonio Becerra, 2000, ESANN.

Differential Evolution Optimization of 3D Topological Active Volumes

Manuel G. Penedo, Jorge Novo, José Santos Reyes, 2011, IWANN.

Advances in the Application and Development of Non-Linear Global Optimization Techniques in Computational Structural Biology

Amarda Shehu, Julia Handl, José Santos Reyes, 2018, TCBB.

Synaptic Modulation Based Artificial Neural Networks

Richard J. Duro, A. Gómez, José Santos Reyes, 1995, IWANN.

GENIAL: An Evolutionary Recurrent Neural Network Designer and Trainer

Richard J. Duro, José Santos Reyes, A. Sarmiento, 1994, CAST.

Considerations in the application of evolution to the generation of robot controllers

Richard J. Duro, Francisco Bellas, José Antonio Becerra, 2001, Inf. Sci..

Cellular automata for modeling protein folding using the HP model

José Santos Reyes, Martín Diéguez, Pablo Villot, 2013, 2013 IEEE Congress on Evolutionary Computation.

Evolutionary multiobjective optimization of Topological Active Nets

Manuel G. Penedo, Jorge Novo, José Santos Reyes, 2010, Pattern Recognit. Lett..

Learning Action Descriptions of Opponent Behaviour in the Robocup 2D Simulation Environment

Ramón P. Otero, José Santos Reyes, Jorge Gonzalez, 2010, ILP.

Automatic Topological Active Net Division in a Genetic-Greedy Hybrid Approach

Manuel G. Penedo, Óscar Ibáñez, Noelia Barreira, 2007, IbPRIA.

Protein folding with cellular automata in the 3D HP model

José Santos Reyes, Martín Diéguez, Pablo Villot, 2013, GECCO '13 Companion.

Emergent Image Segmentation by Means of Evolved Connectionist Models and Using a Topological Active Net Model

Manuel G. Penedo, Jorge Novo, José Santos Reyes, 2013, ICAART.

Topological Active Volume 3D segmentation model optimized with genetic approaches

Manuel G. Penedo, Jorge Novo, Noelia Barreira, 2011, Natural Computing.

Self Pruning Gaussian Synapse Networks for Behavior Based Robots

Richard J. Duro, José Antonio Becerra, José Santos Reyes, 2002, ICANN.

Studying the capability of different cancer hallmarks to initiate tumor growth using a cellular automaton simulation. Application in a cancer stem cell context

José Santos Reyes, Ángel Monteagudo, J. Reyes, 2014, Biosyst..

The Baldwin Effect in the interplay between Evolution and Learning

José Santos Reyes, 2005, Inteligencia Artif..

MA vs. GA in Low Population Evolutionary Processes with Mostly Flat Fitness Landscapes

Richard J. Duro, José Antonio Becerra, José Santos Reyes, 2002, JCIS.

Evolutionary generation and training of recurrent artificial neural networks

Richard J. Duro, José Santos Reyes, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

Inclusion of the fitness sharing technique in an evolutionary algorithm to analyze the fitness landscape of the genetic code adaptability

José Santos Reyes, Ángel Monteagudo, J. Reyes, 2017, BMC Bioinformatics.

Evolved artificial neural networks for controlling Topological Active Nets deformation and for medical image segmentation

Manuel G. Penedo, Jorge Novo, José Santos Reyes, 2012, KES.

Genetic approaches for topological active nets optimization

Manuel G. Penedo, Óscar Ibáñez, Noelia Barreira, 2009, Pattern Recognit..

Localisation of the optic disc by means of GA-optimised Topological Active Nets

Manuel G. Penedo, Jorge Novo, José Santos Reyes, 2009, Image Vis. Comput..

Training Higher Order Gaussian Synapses

Richard J. Duro, José Santos Reyes, José Luis Crespo, 1999, IWANN.

Topological Active Nets Optimization Using Genetic Algorithms

Manuel G. Penedo, Óscar Ibáñez, Noelia Barreira, 2006, ICIAR.