Connectionist Models for Syllabic Recognition in the Time Domain. - José Santos Reyes; Ramón P. Otero (IWANN, 1993)

GENIAL: An Evolutionary Recurrent Neural Network Designer and Trainer. - Richard J. Duro; José Santos Reyes; A. Sarmiento (CAST, 1994)

Evolutionary Generation and Training of Recurrent Artificial Neural Networks. - José Santos Reyes; Richard J. Duro (International Conference on Evolutionary Computation, 1994)

Synaptic Modulation Based Artificial Neural Networks. - Richard J. Duro; José Santos Reyes; A. Gómez (IWANN, 1995)

NETTOOL: A Hybrid Connectionist-Symbolic Development Environment. - José Santos Reyes; Ramón P. Otero; José Mira (IWANN, 1995)

Knowledge Refinement of an Expert System Using a Symbolic-Connectionist Approach. - José Santos Reyes; David Lorenzo; Silvia Gómez Pose; J. Heras; Ramón P. Otero (AIME, 1997)

Temporal Dimension in Signal Processing. - José Santos Reyes; Richard J. Duro (EUROCAST, 1997)

Synaptic delay based artificial neural networks and discrete time backpropagation applied to QRS complex detection. - Richard J. Duro; José Santos Reyes (ICNN, 1997)

ECG Beat Classification with Synaptic Delay Based Artificial Neural Networks. - Richard J. Duro; José Santos Reyes (IWANN, 1997)

Parallelization of Connectionist Models Based on a Symbolic Formalism. - José Santos Reyes; Manuel Cabarcos; Ramón P. Otero; José Mira (IWANN, 1997)

Evolving Neural Controllers for Temporally Dependent Behaviors in Autonomous Robots. - José Santos Reyes; Richard J. Duro (IEA/AIE (Vol. 2), 1998)

Progressive Construction of Compound Behavior Controllers for Autonomous Robots Using Temporal Information. - José Antonio Becerra; José Santos Reyes; Richard J. Duro (ECAL, 1999)

Using Temporal Information in ANNs for the Implementation of Autonomous Robot Controllers. - José Antonio Becerra; José Santos Reyes; Richard J. Duro (IWANN (2), 1999)

Training Higher Order Gaussian Synapses. - Richard J. Duro; José Luis Crespo; José Santos Reyes (IWANN (1), 1999)

Discrete-time backpropagation for training synaptic delay-based artificial neural networks. - Richard J. Duro; José Santos Reyes (IEEE Trans. Neural Networks, 1999)

Using higher order synapses and nodes to improve sensing capabilities of mobile robots. - Richard J. Duro; José Santos Reyes; José Antonio Becerra; Francisco Bellas; José Luis Crespo (ESANN, 2000)

Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile Robots. - Francisco Bellas; José Antonio Becerra; José Santos Reyes; Richard J. Duro (IJCNN (6), 2000)

Robust Visual Recognition with High-Order Gaussian Synapses Networks. - José Luis Crespo; José Santos Reyes; Richard J. Duro (IJCNN (6), 2000)

Pi-DTB, Discrete Time Backpropagation with Product Units. - José Santos Reyes; Richard J. Duro (IWANN (1), 2001)

Pi units in temporal time delay based networks trained with discrete time backpropagation. - José Santos Reyes; Richard J. Duro (Int. J. Comput. Syst. Signals, 2001)

Influence of noise on discrete time backpropagation trained networks. - José Santos Reyes; Richard J. Duro (Neurocomputing, 2001)

Considerations in the application of evolution to the generation of robot controllers. - José Santos Reyes; Richard J. Duro; José Antonio Becerra; José Luis Crespo; Francisco Bellas (Inf. Sci., 2001)

Behavior reuse and virtual sensors in the evolution of complex behavior architectures. - Richard J. Duro; José Antonio Becerra; José Santos Reyes (Theory Biosci., 2001)

Self Pruning Gaussian Synapse Networks for Behavior Based Robots. - José Antonio Becerra; Richard J. Duro; José Santos Reyes (ICANN, 2002)

MA vs. GA in Low Population Evolutionary Processes with Mostly Flat Fitness Landscapes. - José Antonio Becerra; José Santos Reyes; Richard J. Duro (JCIS, 2002)

Multimodule Artificial Neural Network Architectures for Autonomous Robot Control Through Behavior Modulation. - José Antonio Becerra; José Santos Reyes; Richard J. Duro (IWANN (2), 2003)

Modelling Temporal Series Through Synaptic Delay-based Neural Networks. - Richard J. Duro; José Santos Reyes (Neural Comput. Appl., 2003)

Codon Based Amino Acid Encoding for the Neural Network Prediction of Protein Secondary Structure. - José Santos Reyes (Spanish Bioinformatics Conference, 2004)

Complex Behaviours Through Modulation in Autonomous Robot Control. - José Antonio Becerra; Francisco Bellas; José Santos Reyes; Richard J. Duro (IWANN, 2005)

Neural Clustering Analysis of Macroevolutionary and Genetic Algorithms in the Evolution of Robot Controllers. - José Antonio Becerra; José Santos Reyes (IWINAC (2), 2005)

The Baldwin Effect in the interplay between Evolution and Learning. - José Santos Reyes (Inteligencia Artif., 2005)

Topological Active Nets Optimization Using Genetic Algorithms. - Óscar Ibáñez; Noelia Barreira; José Santos Reyes; Manuel G. Penedo (ICIAR (1), 2006)

Integration of Evolution with a Robot Action Selection Model. - Fernando M. Montes González; José Santos Reyes; Homero V. Ríos-Figueroa (MICAI, 2006)

Resumen de la XI Conferencia de la Asociacion Española para la Inteligencia Artificial (CAEPIA 2005). - Roque Marín; Eva Onaindia; Alberto Bugarín; José Santos Reyes (Inteligencia Artif., 2006)

Automatic Topological Active Net Division in a Genetic-Greedy Hybrid Approach. - Noelia Barreira; Manuel G. Penedo; Óscar Ibáñez; José Santos Reyes (IbPRIA (2), 2007)

Genetic-Greedy Hybrid Approach for Topological Active Nets Optimization. - José Santos Reyes; Óscar Ibáñez; Noelia Barreira; Manuel G. Penedo (ICANNGA (1), 2007)

Simulated Evolution of the Adaptability of the Genetic Code Using Genetic Algorithms. - Ángel Monteagudo; José Santos Reyes (IWINAC (1), 2007)

Optic Disc Segmentation by Means of GA-Optimized Topological Active Nets. - Jorge Novo; Manuel G. Penedo; José Santos Reyes (ICIAR, 2008)

Genetic Approaches for the Automatic Division of Topological Active Volumes. - Jorge Novo; Noelia Barreira; Manuel G. Penedo; José Santos Reyes (IWINAC (2), 2009)

Localisation of the optic disc by means of GA-optimised Topological Active Nets. - Jorge Novo; Manuel G. Penedo; José Santos Reyes (Image Vis. Comput., 2009)

Genetic code optimality studied by means of simulated evolution and within the coevolution theory of the canonical code organization. - José Santos Reyes; Ángel Monteagudo (Nat. Comput., 2009)

Genetic approaches for topological active nets optimization. - Óscar Ibáñez; Noelia Barreira; José Santos Reyes; Manuel G. Penedo (Pattern Recognit., 2009)

Evolution of adaptive center-crossing continuous time recurrent neural networks for biped robot control. - Ángel Campo; José Santos Reyes (ESANN, 2010)

Optimization of Topological Active Models with Multiobjective Evolutionary Algorithms. - Jorge Novo; José Santos Reyes; Manuel G. Penedo; Alba Fernández (ICPR, 2010)

Learning Action Descriptions of Opponent Behaviour in the Robocup 2D Simulation Environment. - Alberto Illobre; Jorge Gonzalez; Ramón P. Otero; José Santos Reyes (ILP, 2010)

Evolutionary multiobjective optimization of Topological Active Nets. - Jorge Novo; Manuel G. Penedo; José Santos Reyes (Pattern Recognit. Lett., 2010)

Multiobjective Optimization of the 3D Topological Active Volume Segmentation Model. - Jorge Novo; Manuel G. Penedo; José Santos Reyes (ICAART (1), 2011)

Optimization of Topological Active Nets with Differential Evolution. - Jorge Novo Buján; José Santos Reyes; Manuel G. Penedo (ICANNGA (1), 2011)

Differential Evolution Optimization of 3D Topological Active Volumes. - Jorge Novo; José Santos Reyes; Manuel G. Penedo (IWANN (1), 2011)

Differential Evolution for Protein Structure Prediction Using the HP Model. - José Santos 003; Martín Diéguez (IWINAC (1), 2011)

Simulated evolution applied to study the genetic code optimality using a model of codon reassignments. - José Santos Reyes; Ángel Monteagudo (BMC Bioinform., 2011)

Evolved artificial neural networks for controlling Topological Active Nets deformation and for medical image segmentation. - Cristina V. Sierra; Jorge Novo; José Santos Reyes; Manuel G. Penedo (KES, 2012)

Robotic Behavior Implementation Using Two Different Differential Evolution Variants. - Víctor Ricardo Cruz-Álvarez; Fernando Montes-González; Efrén Mezura-Montes; José Santos Reyes (MICAI (1), 2012)

A Cellular Automaton Model for Tumor Growth Simulation. - Ángel Monteagudo; José Santos Reyes (PACBB, 2012)

Study of Cancer Hallmarks Relevance Using a Cellular Automaton Tumor Growth Model. - José Santos Reyes; Ángel Monteagudo (PPSN (1), 2012)

Topological Active Models optimization with Differential Evolution. - Jorge Novo; José Santos Reyes; Manuel G. Penedo (Expert Syst. Appl., 2012)

Biped locomotion control with evolved adaptive center-crossing continuous time recurrent neural networks. - José Santos Reyes; Ángel Campo (Neurocomputing, 2012)

Topological Active Volume 3D segmentation model optimized with genetic approaches. - Jorge Novo; Noelia Barreira; Manuel Francisco González Penedo; José Santos Reyes (Nat. Comput., 2012)

Combination of reinforcement learning with evolution for automatically obtaining robot neural controllers. - Rodrigo Edgar Palacios-Leyva; Víctor Ricardo Cruz-Álvarez; Fernando Montes-González; L. Rascon-Perez; José Santos Reyes (IEEE Congress on Evolutionary Computation, 2013)

Evolved center-crossing recurrent synaptic delay based neural networks for biped locomotion control. - José Santos Reyes (IEEE Congress on Evolutionary Computation, 2013)

Cellular automata for modeling protein folding using the HP model. - José Santos Reyes; Pablo Villot; Martín Diéguez (IEEE Congress on Evolutionary Computation, 2013)

Protein folding with cellular automata in the 3D HP model. - José Santos Reyes; Pablo Villot; Martín Diéguez (GECCO (Companion), 2013)

Emergent Image Segmentation by Means of Evolved Connectionist Models and Using a Topological Active Net Model. - Jorge Novo; Cristina V. Sierra; José Santos Reyes; Manuel G. Penedo (ICAART (Revised Selected Papers), 2013)

Emergent Segmentation of Topological Active Nets by Means of Evolutionary Obtained Artificial Neural Networks. - Cristina V. Sierra; Jorge Novo; José Santos Reyes; Manuel G. Penedo (ICAART (2), 2013)

Cancer Stem Cell Modeling Using a Cellular Automaton. - Ángel Monteagudo; José Santos Reyes (IWINAC (2), 2013)

Multiobjective differential evolution in the optimization of topological active models. - Jorge Novo; José Santos Reyes; Manuel G. Penedo (Appl. Soft Comput., 2013)

Studying the capability of different cancer hallmarks to initiate tumor growth using a cellular automaton simulation. Application in a cancer stem cell context. - Ángel Monteagudo; José Santos Reyes (Biosyst., 2014)

Emergent Protein Folding Modeled with Evolved Neural Cellular Automata Using the 3D HP Model. - José Santos Reyes; Pablo Villot; Martín Diéguez (J. Comput. Biol., 2014)

Evolutionary Optimization of Cancer Treatments in a Cancer Stem Cell Context. - Ángel Monteagudo; José Santos Reyes (GECCO, 2015)

Combination of Differential Evolution and Fragment-based Replacements for Protein Structure Prediction. - Daniel Varela; José Santos Reyes (GECCO (Companion), 2015)

Evolution of Synaptic Delay Based Neural Controllers for Implementing Central Pattern Generators in Hexapod Robotic Structures. - José Santos Reyes; Pablo Fernández (IWINAC (2), 2015)

Finding a needle in the blogosphere: An information fusion approach for blog distillation search. - José M. Chenlo; Javier Parapar; David E. Losada; José Santos Reyes (Inf. Fusion, 2015)

Workshop Evolutionary Computation in Computational Structural Biology 2016 Chairs' Welcome. - José Santos Reyes; Julia Handl; Amarda Shehu (GECCO (Companion), 2016)

Protein Folding Modeling with Neural Cellular Automata Using Rosetta. - Daniel Varela; José Santos Reyes (GECCO (Companion), 2016)

A protein folding model using the face-centered cubic lattice model. - Daniel Varela; José Santos Reyes (GECCO (Companion), 2017)

A Hybrid Evolutionary Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice Model. - Daniel Varela; José Santos Reyes (ICONIP (1), 2017)

Protein Folding Modeling with Neural Cellular Automata Using the Face-Centered Cubic Model. - Daniel Varela; José Santos Reyes (IWINAC (1), 2017)

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 (BMC Bioinform., 2017)

Evolved synaptic delay based neural controllers for walking patterns in hexapod robotic structures. - José Santos Reyes; Pablo Fernández (Nat. Comput., 2017)

Advances in the Application and Development of Non-Linear Global Optimization Techniques in Computational Structural Biology. - Julia Handl; Amarda Shehu; José Santos Reyes (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Crowding Differential Evolution for Protein Structure Prediction. - Daniel Varela; José Santos Reyes (IWINAC (2), 2019)

Preface. - José Manuel Ferrández; José Santos Reyes; Ramiro Varela (Nat. Comput., 2019)

Automatically obtaining a cellular automaton scheme for modeling protein folding using the FCC model. - Daniel Varela; José Santos Reyes (Nat. Comput., 2019)

Evolution of Amino Acid Properties in the Context of Protein Secondary Structure Prediction. - José Santos Reyes; Héctor Rivas (CEC, 2021)

A MaxSAT Solver Based on Differential Evolution (Preliminary Report). - Manuel Framil; Pedro Cabalar; José Santos 003 (EPIA, 2022)

Energy Minimization vs. Deep Learning Approaches for Protein Structure Prediction. - Juan Luis Filgueiras; Daniel Varela; José Santos Reyes (IWINAC (1), 2022)

Automatic Selection of Financial Ratios by Means of Differential Evolution and for Predicting Business Insolvency. - José Santos 003; Óscar Sestayo; Ángel Beade; Manuel Rodríguez (IWINAC (1), 2022)

Capabilities of Approaches for Ab Initio Protein Structure Prediction. - Juan Luis Filgueiras; José Santos Reyes (XoveTIC, 2022)

Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation. - Daniel Varela; José Santos Reyes (Genet. Program. Evolvable Mach., 2022)

Protein structure prediction in an atomic model with differential evolution integrated with the crowding niching method. - Daniel Varela; José Santos Reyes (Nat. Comput., 2022)

Preface. - José Manuel Ferrández de Vicente; José Santos Reyes (Nat. Comput., 2022)

Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction. - Daniel Varela; José Santos Reyes (Swarm Evol. Comput., 2022)

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. - J. M. Górriz; I. Álvarez Illán; Agustín Álvarez-Marquina; Juan Eloy Arco; Martin Atzmüller; F. Ballarini; Emilia I. Barakova; Guido Bologna; María Paula Bonomini; Germán Castellanos-Domínguez; Diego Castillo-Barnes; S. B. Cho; et al. (Inf. Fusion, 2023)

Evolutionary feature selection approaches for insolvency business prediction with genetic programming. - Ángel Beade; Manuel Rodríguez; José Santos 003 (Nat. Comput., 2023)

Protein structure prediction with energy minimization and deep learning approaches. - Juan Luis Filgueiras; Daniel Varela; José Santos 003 (Nat. Comput., 2023)

Genetic programming for feature selection in business failure prediction. Comparison of the use of financial variables and economic environment variables. - Ángel Beade; Manuel Rodríguez; José Santos 003 (INISTA, 2024)

Refinement of Protein Structures with a Memetic Algorithm. Examples with SARS-CoV-2 Proteins. - Juan Luis Filgueiras; José Santos 003 (IWINAC (2), 2024)

Variable selection in the prediction of business failure using genetic programming. - Ángel Beade; Manuel Rodríguez; José Santos Reyes (Knowl. Based Syst., 2024)

Business failure prediction models with high and stable predictive power over time using genetic programming. - Ángel Beade; Manuel Rodríguez; José Santos 003 (Oper. Res., 2024)