José Santos Reyes

Orcid: 0000-0002-4212-1367

Affiliations:
  • University of A Coruña, Spain


According to our database1, José Santos Reyes authored at least 99 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Business failure prediction models with high and stable predictive power over time using genetic programming.
Oper. Res., September, 2024

Variable selection in the prediction of business failure using genetic programming.
Knowl. Based Syst., 2024

Refinement of Protein Structures with a Memetic Algorithm. Examples with SARS-CoV-2 Proteins.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Genetic programming for feature selection in business failure prediction. Comparison of the use of financial variables and economic environment variables.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2024

2023
Protein structure prediction with energy minimization and deep learning approaches.
Nat. Comput., December, 2023

Evolutionary feature selection approaches for insolvency business prediction with genetic programming.
Nat. Comput., December, 2023

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
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Inf. Fusion, December, 2023

2022
Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction.
Swarm Evol. Comput., 2022

Preface.
Nat. Comput., 2022

Protein structure prediction in an atomic model with differential evolution integrated with the crowding niching method.
Nat. Comput., 2022

Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation.
Genet. Program. Evolvable Mach., 2022

Capabilities of Approaches for Ab Initio Protein Structure Prediction.
Proceedings of V XoveTIC Conference, 2022

Automatic Selection of Financial Ratios by Means of Differential Evolution and for Predicting Business Insolvency.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Energy Minimization vs. Deep Learning Approaches for Protein Structure Prediction.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

A MaxSAT Solver Based on Differential Evolution (Preliminary Report).
Proceedings of the Progress in Artificial Intelligence, 2022

2021
Evolution of Amino Acid Properties in the Context of Protein Secondary Structure Prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2019
Automatically obtaining a cellular automaton scheme for modeling protein folding using the FCC model.
Nat. Comput., 2019

Preface.
Nat. Comput., 2019

Crowding Differential Evolution for Protein Structure Prediction.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

2018
Advances in the Application and Development of Non-Linear Global Optimization Techniques in Computational Structural Biology.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

2017
Evolved synaptic delay based neural controllers for walking patterns in hexapod robotic structures.
Nat. Comput., 2017

Inclusion of the fitness sharing technique in an evolutionary algorithm to analyze the fitness landscape of the genetic code adaptability.
BMC Bioinform., 2017

Protein Folding Modeling with Neural Cellular Automata Using the Face-Centered Cubic Model.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

A Hybrid Evolutionary Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice Model.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A protein folding model using the face-centered cubic lattice model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Protein Folding Modeling with Neural Cellular Automata Using Rosetta.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Workshop Evolutionary Computation in Computational Structural Biology 2016 Chairs' Welcome.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Finding a needle in the blogosphere: An information fusion approach for blog distillation search.
Inf. Fusion, 2015

Evolution of Synaptic Delay Based Neural Controllers for Implementing Central Pattern Generators in Hexapod Robotic Structures.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Combination of Differential Evolution and Fragment-based Replacements for Protein Structure Prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evolutionary Optimization of Cancer Treatments in a Cancer Stem Cell Context.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
Emergent Protein Folding Modeled with Evolved Neural Cellular Automata Using the 3D HP Model.
J. Comput. Biol., 2014

Studying the capability of different cancer hallmarks to initiate tumor growth using a cellular automaton simulation. Application in a cancer stem cell context.
Biosyst., 2014

2013
Multiobjective differential evolution in the optimization of topological active models.
Appl. Soft Comput., 2013

Cancer Stem Cell Modeling Using a Cellular Automaton.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

Emergent Segmentation of Topological Active Nets by Means of Evolutionary Obtained Artificial Neural Networks.
Proceedings of the ICAART 2013, 2013

Emergent Image Segmentation by Means of Evolved Connectionist Models and Using a Topological Active Net Model.
Proceedings of the Agents and Artificial Intelligence - 5th International Conference, 2013

Protein folding with cellular automata in the 3D HP model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Cellular automata for modeling protein folding using the HP model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Evolved center-crossing recurrent synaptic delay based neural networks for biped locomotion control.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Combination of reinforcement learning with evolution for automatically obtaining robot neural controllers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Topological Active Volume 3D segmentation model optimized with genetic approaches.
Nat. Comput., 2012

Biped locomotion control with evolved adaptive center-crossing continuous time recurrent neural networks.
Neurocomputing, 2012

Topological Active Models optimization with Differential Evolution.
Expert Syst. Appl., 2012

Study of Cancer Hallmarks Relevance Using a Cellular Automaton Tumor Growth Model.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

A Cellular Automaton Model for Tumor Growth Simulation.
Proceedings of the 6th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2012

Robotic Behavior Implementation Using Two Different Differential Evolution Variants.
Proceedings of the Advances in Artificial Intelligence, 2012

Evolved artificial neural networks for controlling Topological Active Nets deformation and for medical image segmentation.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

2011
Simulated evolution applied to study the genetic code optimality using a model of codon reassignments.
BMC Bioinform., 2011

Differential Evolution for Protein Structure Prediction Using the HP Model.
Proceedings of the Foundations on Natural and Artificial Computation, 2011

Differential Evolution Optimization of 3D Topological Active Volumes.
Proceedings of the Advances in Computational Intelligence, 2011

Optimization of Topological Active Nets with Differential Evolution.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Multiobjective Optimization of the 3D Topological Active Volume Segmentation Model.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

2010
Evolutionary multiobjective optimization of Topological Active Nets.
Pattern Recognit. Lett., 2010

Learning Action Descriptions of Opponent Behaviour in the Robocup 2D Simulation Environment.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Optimization of Topological Active Models with Multiobjective Evolutionary Algorithms.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Evolution of adaptive center-crossing continuous time recurrent neural networks for biped robot control.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Genetic approaches for topological active nets optimization.
Pattern Recognit., 2009

Genetic code optimality studied by means of simulated evolution and within the coevolution theory of the canonical code organization.
Nat. Comput., 2009

Localisation of the optic disc by means of GA-optimised Topological Active Nets.
Image Vis. Comput., 2009

Genetic Approaches for the Automatic Division of Topological Active Volumes.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

2008
Optic Disc Segmentation by Means of GA-Optimized Topological Active Nets.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

2007
Simulated Evolution of the Adaptability of the Genetic Code Using Genetic Algorithms.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Genetic-Greedy Hybrid Approach for Topological Active Nets Optimization.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Automatic Topological Active Net Division in a Genetic-Greedy Hybrid Approach.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006
Resumen de la XI Conferencia de la Asociacion Española para la Inteligencia Artificial (CAEPIA 2005).
Inteligencia Artif., 2006

Integration of Evolution with a Robot Action Selection Model.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Topological Active Nets Optimization Using Genetic Algorithms.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

2005
The Baldwin Effect in the interplay between Evolution and Learning.
Inteligencia Artif., 2005

Neural Clustering Analysis of Macroevolutionary and Genetic Algorithms in the Evolution of Robot Controllers.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Complex Behaviours Through Modulation in Autonomous Robot Control.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2004
Codon Based Amino Acid Encoding for the Neural Network Prediction of Protein Secondary Structure.
Proceedings of the 5th Annual Spanish Bioinformatics Conference, Barcelona, Catalonia, 2004

2003
Modelling Temporal Series Through Synaptic Delay-based Neural Networks.
Neural Comput. Appl., 2003

Multimodule Artificial Neural Network Architectures for Autonomous Robot Control Through Behavior Modulation.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2002
MA vs. GA in Low Population Evolutionary Processes with Mostly Flat Fitness Landscapes.
Proceedings of the 6th Joint Conference on Information Science, 2002

Self Pruning Gaussian Synapse Networks for Behavior Based Robots.
Proceedings of the Artificial Neural Networks, 2002

2001
Behavior reuse and virtual sensors in the evolution of complex behavior architectures.
Theory Biosci., 2001

Considerations in the application of evolution to the generation of robot controllers.
Inf. Sci., 2001

Influence of noise on discrete time backpropagation trained networks.
Neurocomputing, 2001

Pi units in temporal time delay based networks trained with discrete time backpropagation.
Int. J. Comput. Syst. Signals, 2001

Pi-DTB, Discrete Time Backpropagation with Product Units.
Proceedings of the Connectionist Models of Neurons, 2001

2000
Robust Visual Recognition with High-Order Gaussian Synapses Networks.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile Robots.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Using higher order synapses and nodes to improve sensing capabilities of mobile robots.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

1999
Discrete-time backpropagation for training synaptic delay-based artificial neural networks.
IEEE Trans. Neural Networks, 1999

Training Higher Order Gaussian Synapses.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

Using Temporal Information in ANNs for the Implementation of Autonomous Robot Controllers.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Progressive Construction of Compound Behavior Controllers for Autonomous Robots Using Temporal Information.
Proceedings of the Advances in Artificial Life, 5th European Conference, 1999

1998
Evolving Neural Controllers for Temporally Dependent Behaviors in Autonomous Robots.
Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998

1997
Parallelization of Connectionist Models Based on a Symbolic Formalism.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

ECG Beat Classification with Synaptic Delay Based Artificial Neural Networks.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Synaptic delay based artificial neural networks and discrete time backpropagation applied to QRS complex detection.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Temporal Dimension in Signal Processing.
Proceedings of the Computer Aided Systems Theory, 1997

Knowledge Refinement of an Expert System Using a Symbolic-Connectionist Approach.
Proceedings of the Artificial Intelligence Medicine, 1997

1995
NETTOOL: A Hybrid Connectionist-Symbolic Development Environment.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Synaptic Modulation Based Artificial Neural Networks.
Proceedings of the From Natural to Artificial Neural Computation, 1995

1994
Evolutionary Generation and Training of Recurrent Artificial Neural Networks.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

GENIAL: An Evolutionary Recurrent Neural Network Designer and Trainer.
Proceedings of the Computer Aided System Theory, 1994

1993
Connectionist Models for Syllabic Recognition in the Time Domain.
Proceedings of the New Trends in Neural Computation, 1993


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