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ORCIDJosé Santos Reyes
José Santos 0003
Person information
- affiliation: University of A Coruña, Spain
Other persons with the same name
- José Santos — disambiguation page
- José Santos 0001
![[0000-0002-6276-2057]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6276-2057")
— Ghent University, imec, Belgium - José Santos 0002 — University of Nebraska-Lincoln, USA
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2020 – today
- 2024
[j35]Ángel Beade, Manuel Rodríguez, José Santos Reyes:
Variable selection in the prediction of business failure using genetic programming. Knowl. Based Syst. 289: 111529 (2024)- [j34]Ángel Beade, Manuel Rodríguez, José Santos:
Business failure prediction models with high and stable predictive power over time using genetic programming. Oper. Res. 24(3): 52 (2024) - [c65]Ángel Beade, Manuel Rodríguez, José Santos:
Genetic programming for feature selection in business failure prediction. Comparison of the use of financial variables and economic environment variables. INISTA 2024: 1-6 - [c64]Juan Luis Filgueiras, José Santos:
Refinement of Protein Structures with a Memetic Algorithm. Examples with SARS-CoV-2 Proteins. IWINAC (2) 2024: 129-139 - 2023
- [j33]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, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, S. H. Wang, Wei Wang, Y. D. Zhang, Hengde Zhu, Z. Zhu, J. M. Ferrández-Vicente:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - [j32]José Manuel Ferrández, José Santos, Ramiro Varela:
Preface. Nat. Comput. 22(4): 613-614 (2023) - [j31]Juan Luis Filgueiras, Daniel Varela, José Santos:
Protein structure prediction with energy minimization and deep learning approaches. Nat. Comput. 22(4): 659-670 (2023) - [j30]Ángel Beade, Manuel Rodríguez, José Santos:
Evolutionary feature selection approaches for insolvency business prediction with genetic programming. Nat. Comput. 22(4): 705-722 (2023) - 2022
- [j29]Daniel Varela, José Santos Reyes:
Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation. Genet. Program. Evolvable Mach. 23(2): 225-252 (2022) - [j28]José Manuel Ferrández de Vicente, José Santos Reyes:
Preface. Nat. Comput. 21(4): 523-524 (2022) - [j27]Daniel Varela, José Santos Reyes:
Protein structure prediction in an atomic model with differential evolution integrated with the crowding niching method. Nat. Comput. 21(4): 537-551 (2022) - [j26]Daniel Varela, José Santos Reyes:
Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction. Swarm Evol. Comput. 71: 101062 (2022) - [c63]Manuel Framil, Pedro Cabalar, José Santos:
A MaxSAT Solver Based on Differential Evolution (Preliminary Report). EPIA 2022: 676-687 - [c62]Juan Luis Filgueiras, Daniel Varela, José Santos Reyes:
Energy Minimization vs. Deep Learning Approaches for Protein Structure Prediction. IWINAC (1) 2022: 109-118 - [c61]José Santos, Óscar Sestayo, Ángel Beade, Manuel Rodríguez:
Automatic Selection of Financial Ratios by Means of Differential Evolution and for Predicting Business Insolvency. IWINAC (1) 2022: 534-544 - [c60]Juan Luis Filgueiras, José Santos Reyes:
Capabilities of Approaches for Ab Initio Protein Structure Prediction. XoveTIC 2022: 21-23 - 2021
- [c59]José Santos Reyes, Héctor Rivas:
Evolution of Amino Acid Properties in the Context of Protein Secondary Structure Prediction. CEC 2021: 426-433
2010 – 2019
- 2019
- [j25]José Manuel Ferrández, José Santos Reyes, Ramiro Varela:
Preface. Nat. Comput. 18(2): 215-216 (2019) - [j24]Daniel Varela, José Santos Reyes:
Automatically obtaining a cellular automaton scheme for modeling protein folding using the FCC model. Nat. Comput. 18(2): 275-284 (2019) - [c58]Daniel Varela, José Santos Reyes:
Crowding Differential Evolution for Protein Structure Prediction. IWINAC (2) 2019: 193-203 - 2018
- [j23]Julia Handl, Amarda Shehu, José Santos Reyes:
Advances in the Application and Development of Non-Linear Global Optimization Techniques in Computational Structural Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 688-689 (2018) - 2017
- [j22]José Santos Reyes, Ángel Monteagudo:
Inclusion of the fitness sharing technique in an evolutionary algorithm to analyze the fitness landscape of the genetic code adaptability. BMC Bioinform. 18(1): 195:1-195:18 (2017) - [j21]José Santos Reyes, Pablo Fernández:
Evolved synaptic delay based neural controllers for walking patterns in hexapod robotic structures. Nat. Comput. 16(2): 201-211 (2017) - [c57]Daniel Varela, José Santos Reyes:
A protein folding model using the face-centered cubic lattice model. GECCO (Companion) 2017: 1674-1678 - [c56]Daniel Varela, José Santos Reyes:
A Hybrid Evolutionary Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice Model. ICONIP (1) 2017: 628-638 - [c55]Daniel Varela, José Santos Reyes:
Protein Folding Modeling with Neural Cellular Automata Using the Face-Centered Cubic Model. IWINAC (1) 2017: 125-134 - 2016
- [c54]José Santos Reyes, Julia Handl, Amarda Shehu:
Workshop Evolutionary Computation in Computational Structural Biology 2016 Chairs' Welcome. GECCO (Companion) 2016: 1283-1284 - [c53]Daniel Varela, José Santos Reyes:
Protein Folding Modeling with Neural Cellular Automata Using Rosetta. GECCO (Companion) 2016: 1307-1312 - 2015
- [j20]José M. Chenlo, Javier Parapar, David E. Losada, José Santos Reyes:
Finding a needle in the blogosphere: An information fusion approach for blog distillation search. Inf. Fusion 23: 58-68 (2015) - [c52]Ángel Monteagudo, José Santos Reyes:
Evolutionary Optimization of Cancer Treatments in a Cancer Stem Cell Context. GECCO 2015: 233-240 - [c51]Daniel Varela, José Santos Reyes:
Combination of Differential Evolution and Fragment-based Replacements for Protein Structure Prediction. GECCO (Companion) 2015: 911-914 - [c50]José Santos Reyes, Pablo Fernández:
Evolution of Synaptic Delay Based Neural Controllers for Implementing Central Pattern Generators in Hexapod Robotic Structures. IWINAC (2) 2015: 30-40 - 2014
- [j19]Ángel Monteagudo, José Santos Reyes:
Studying the capability of different cancer hallmarks to initiate tumor growth using a cellular automaton simulation. Application in a cancer stem cell context. Biosyst. 115: 46-58 (2014) - [j18]José Santos Reyes, Pablo Villot, Martín Diéguez:
Emergent Protein Folding Modeled with Evolved Neural Cellular Automata Using the 3D HP Model. J. Comput. Biol. 21(11): 823-845 (2014) - 2013
- [j17]Jorge Novo, José Santos Reyes, Manuel G. Penedo:
Multiobjective differential evolution in the optimization of topological active models. Appl. Soft Comput. 13(6): 3167-3177 (2013) - [c49]Rodrigo Edgar Palacios-Leyva, Víctor Ricardo Cruz-Álvarez, Fernando Montes-González, L. Rascon-Perez, José Santos Reyes:
Combination of reinforcement learning with evolution for automatically obtaining robot neural controllers. IEEE Congress on Evolutionary Computation 2013: 119-126 - [c48]José Santos Reyes:
Evolved center-crossing recurrent synaptic delay based neural networks for biped locomotion control. IEEE Congress on Evolutionary Computation 2013: 142-148 - [c47]José Santos Reyes, Pablo Villot, Martín Diéguez:
Cellular automata for modeling protein folding using the HP model. IEEE Congress on Evolutionary Computation 2013: 1586-1593 - [c46]José Santos Reyes, Pablo Villot, Martín Diéguez:
Protein folding with cellular automata in the 3D HP model. GECCO (Companion) 2013: 1595-1602 - [c45]Cristina V. Sierra, Jorge Novo, José Santos Reyes, Manuel G. Penedo:
Emergent Segmentation of Topological Active Nets by Means of Evolutionary Obtained Artificial Neural Networks. ICAART (2) 2013: 44-50 - [c44]Jorge Novo, Cristina V. Sierra, José Santos Reyes, Manuel G. Penedo:
Emergent Image Segmentation by Means of Evolved Connectionist Models and Using a Topological Active Net Model. ICAART (Revised Selected Papers) 2013: 149-161 - [c43]Ángel Monteagudo, José Santos Reyes:
Cancer Stem Cell Modeling Using a Cellular Automaton. IWINAC (2) 2013: 21-31 - 2012
- [j16]Jorge Novo, José Santos Reyes, Manuel G. Penedo:
Topological Active Models optimization with Differential Evolution. Expert Syst. Appl. 39(15): 12165-12176 (2012) - [j15]José Santos Reyes, Ángel Campo:
Biped locomotion control with evolved adaptive center-crossing continuous time recurrent neural networks. Neurocomputing 86: 86-96 (2012) - [j14]Jorge Novo, Noelia Barreira, Manuel Francisco González Penedo, José Santos Reyes:
Topological Active Volume 3D segmentation model optimized with genetic approaches. Nat. Comput. 11(1): 161-174 (2012) - [c42]Cristina V. Sierra, Jorge Novo, José Santos Reyes, Manuel G. Penedo:
Evolved artificial neural networks for controlling Topological Active Nets deformation and for medical image segmentation. KES 2012: 1380-1389 - [c41]Víctor Ricardo Cruz-Álvarez, Fernando Montes-González, Efrén Mezura-Montes, José Santos Reyes:
Robotic Behavior Implementation Using Two Different Differential Evolution Variants. MICAI (1) 2012: 216-226 - [c40]Ángel Monteagudo, José Santos Reyes:
A Cellular Automaton Model for Tumor Growth Simulation. PACBB 2012: 147-155 - [c39]José Santos Reyes, Ángel Monteagudo:
Study of Cancer Hallmarks Relevance Using a Cellular Automaton Tumor Growth Model. PPSN (1) 2012: 489-499 - 2011
- [j13]José Santos Reyes, Ángel Monteagudo:
Simulated evolution applied to study the genetic code optimality using a model of codon reassignments. BMC Bioinform. 12: 56 (2011) - [c38]Jorge Novo, Manuel G. Penedo, José Santos Reyes:
Multiobjective Optimization of the 3D Topological Active Volume Segmentation Model. ICAART (1) 2011: 236-241 - [c37]Jorge Novo Buján, José Santos Reyes, Manuel G. Penedo:
Optimization of Topological Active Nets with Differential Evolution. ICANNGA (1) 2011: 350-360 - [c36]Jorge Novo, José Santos Reyes, Manuel G. Penedo:
Differential Evolution Optimization of 3D Topological Active Volumes. IWANN (1) 2011: 282-290 - [c35]José Santos, Martín Diéguez:
Differential Evolution for Protein Structure Prediction Using the HP Model. IWINAC (1) 2011: 323-333 - 2010
- [j12]Jorge Novo, Manuel G. Penedo, José Santos Reyes:
Evolutionary multiobjective optimization of Topological Active Nets. Pattern Recognit. Lett. 31(13): 1781-1794 (2010) - [c34]Ángel Campo, José Santos Reyes:
Evolution of adaptive center-crossing continuous time recurrent neural networks for biped robot control. ESANN 2010 - [c33]Jorge Novo, José Santos Reyes, Manuel G. Penedo, Alba Fernández:
Optimization of Topological Active Models with Multiobjective Evolutionary Algorithms. ICPR 2010: 2226-2229 - [c32]Alberto Illobre, Jorge Gonzalez, Ramón P. Otero, José Santos Reyes:
Learning Action Descriptions of Opponent Behaviour in the Robocup 2D Simulation Environment. ILP 2010: 105-113
2000 – 2009
- 2009
- [j11]Jorge Novo, Manuel G. Penedo, José Santos Reyes:
Localisation of the optic disc by means of GA-optimised Topological Active Nets. Image Vis. Comput. 27(10): 1572-1584 (2009) - [j10]José Santos Reyes, Ángel Monteagudo:
Genetic code optimality studied by means of simulated evolution and within the coevolution theory of the canonical code organization. Nat. Comput. 8(4): 719-738 (2009) - [j9]Óscar Ibáñez, Noelia Barreira, José Santos Reyes, Manuel G. Penedo:
Genetic approaches for topological active nets optimization. Pattern Recognit. 42(5): 907-917 (2009) - [c31]Jorge Novo, Noelia Barreira, Manuel G. Penedo, José Santos Reyes:
Genetic Approaches for the Automatic Division of Topological Active Volumes. IWINAC (2) 2009: 20-29 - 2008
- [c30]Jorge Novo, Manuel G. Penedo, José Santos Reyes:
Optic Disc Segmentation by Means of GA-Optimized Topological Active Nets. ICIAR 2008: 807-816 - 2007
- [c29]Noelia Barreira, Manuel G. Penedo, Óscar Ibáñez, José Santos Reyes:
Automatic Topological Active Net Division in a Genetic-Greedy Hybrid Approach. IbPRIA (2) 2007: 226-233 - [c28]José Santos Reyes, Óscar Ibáñez, Noelia Barreira, Manuel G. Penedo:
Genetic-Greedy Hybrid Approach for Topological Active Nets Optimization. ICANNGA (1) 2007: 202-210 - [c27]Ángel Monteagudo, José Santos Reyes:
Simulated Evolution of the Adaptability of the Genetic Code Using Genetic Algorithms. IWINAC (1) 2007: 478-487 - 2006
- [j8]Roque Marín, Eva Onaindia, Alberto Bugarín, José Santos Reyes:
Resumen de la XI Conferencia de la Asociacion Española para la Inteligencia Artificial (CAEPIA 2005). Inteligencia Artif. 10(30): 95-98 (2006) - [c26]Óscar Ibáñez, Noelia Barreira, José Santos Reyes, Manuel G. Penedo:
Topological Active Nets Optimization Using Genetic Algorithms. ICIAR (1) 2006: 272-282 - [c25]Fernando M. Montes González, José Santos Reyes, Homero V. Ríos-Figueroa:
Integration of Evolution with a Robot Action Selection Model. MICAI 2006: 1160-1170 - [e1]Roque Marín, Eva Onaindia, Alberto Bugarín, José Santos Reyes:
Current Topics in Artificial Intelligence, 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela, Spain, November 16-18, 2005, Revised Selected Papers. Lecture Notes in Computer Science 4177, Springer 2006, ISBN 3-540-45914-6 [contents] - 2005
- [j7]José Santos Reyes:
The Baldwin Effect in the interplay between Evolution and Learning. Inteligencia Artif. 9(27): 21-34 (2005) - [c24]José Antonio Becerra, Francisco Bellas, José Santos Reyes, Richard J. Duro:
Complex Behaviours Through Modulation in Autonomous Robot Control. IWANN 2005: 717-724 - [c23]José Antonio Becerra, José Santos Reyes:
Neural Clustering Analysis of Macroevolutionary and Genetic Algorithms in the Evolution of Robot Controllers. IWINAC (2) 2005: 415-424 - 2004
- [c22]José Santos Reyes:
Codon Based Amino Acid Encoding for the Neural Network Prediction of Protein Secondary Structure. Spanish Bioinformatics Conference 2004: 101-106 - 2003
- [j6]Richard J. Duro, José Santos Reyes:
Modelling Temporal Series Through Synaptic Delay-based Neural Networks. Neural Comput. Appl. 11(3-4): 224-237 (2003) - [c21]José Antonio Becerra, José Santos Reyes, Richard J. Duro:
Multimodule Artificial Neural Network Architectures for Autonomous Robot Control Through Behavior Modulation. IWANN (2) 2003: 169-176 - 2002
- [c20]José Antonio Becerra, Richard J. Duro, José Santos Reyes:
Self Pruning Gaussian Synapse Networks for Behavior Based Robots. ICANN 2002: 837-843 - [c19]José Antonio Becerra, José Santos Reyes, Richard J. Duro:
MA vs. GA in Low Population Evolutionary Processes with Mostly Flat Fitness Landscapes. JCIS 2002: 626-630 - 2001
- [j5]José Santos Reyes, Richard J. Duro:
Pi units in temporal time delay based networks trained with discrete time backpropagation. Int. J. Comput. Syst. Signals 2(1): 31-42 (2001) - [j4]José Santos Reyes, Richard J. Duro:
Influence of noise on discrete time backpropagation trained networks. Neurocomputing 41(1-4): 67-89 (2001) - [j3]José Santos Reyes, Richard J. Duro, José Antonio Becerra, José Luis Crespo, Francisco Bellas:
Considerations in the application of evolution to the generation of robot controllers. Inf. Sci. 133(3-4): 127-148 (2001) - [j2]Richard J. Duro, José Antonio Becerra, José Santos Reyes:
Behavior reuse and virtual sensors in the evolution of complex behavior architectures. Theory Biosci. 120(3-4): 188-206 (2001) - [c18]José Santos Reyes, Richard J. Duro:
Pi-DTB, Discrete Time Backpropagation with Product Units. IWANN (1) 2001: 207-214 - 2000
- [c17]Richard J. Duro, José Santos Reyes, José Antonio Becerra, Francisco Bellas, José Luis Crespo:
Using higher order synapses and nodes to improve sensing capabilities of mobile robots. ESANN 2000: 81-88 - [c16]José Luis Crespo, José Santos Reyes, Richard J. Duro:
Robust Visual Recognition with High-Order Gaussian Synapses Networks. IJCNN (6) 2000: 135-139 - [c15]Francisco Bellas, José Antonio Becerra, José Santos Reyes, Richard J. Duro:
Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile Robots. IJCNN (6) 2000: 144-152
1990 – 1999
- 1999
- [j1]Richard J. Duro, José Santos Reyes:
Discrete-time backpropagation for training synaptic delay-based artificial neural networks. IEEE Trans. Neural Networks 10(4): 779-789 (1999) - [c14]José Antonio Becerra, José Santos Reyes, Richard J. Duro:
Progressive Construction of Compound Behavior Controllers for Autonomous Robots Using Temporal Information. ECAL 1999: 324-328 - [c13]Richard J. Duro, José Luis Crespo, José Santos Reyes:
Training Higher Order Gaussian Synapses. IWANN (1) 1999: 537-545 - [c12]José Antonio Becerra, José Santos Reyes, Richard J. Duro:
Using Temporal Information in ANNs for the Implementation of Autonomous Robot Controllers. IWANN (2) 1999: 540-547 - 1998
- [c11]José Santos Reyes, Richard J. Duro:
Evolving Neural Controllers for Temporally Dependent Behaviors in Autonomous Robots. IEA/AIE (Vol. 2) 1998: 319-328 - 1997
- [c10]José Santos Reyes, David Lorenzo, Silvia Gómez Pose, J. Heras, Ramón P. Otero:
Knowledge Refinement of an Expert System Using a Symbolic-Connectionist Approach. AIME 1997: 517-520 - [c9]José Santos Reyes, Richard J. Duro:
Temporal Dimension in Signal Processing. EUROCAST 1997: 486-497 - [c8]Richard J. Duro, José Santos Reyes:
Synaptic delay based artificial neural networks and discrete time backpropagation applied to QRS complex detection. ICNN 1997: 2566-2570 - [c7]José Santos Reyes, Manuel Cabarcos, Ramón P. Otero, José Mira:
Parallelization of Connectionist Models Based on a Symbolic Formalism. IWANN 1997: 304-312 - [c6]Richard J. Duro, José Santos Reyes:
ECG Beat Classification with Synaptic Delay Based Artificial Neural Networks. IWANN 1997: 962-970 - 1995
- [c5]Richard J. Duro, José Santos Reyes, A. Gómez:
Synaptic Modulation Based Artificial Neural Networks. IWANN 1995: 31-36 - [c4]José Santos Reyes, Ramón P. Otero, José Mira:
NETTOOL: A Hybrid Connectionist-Symbolic Development Environment. IWANN 1995: 658-665 - 1994
- [c3]Richard J. Duro, José Santos Reyes, A. Sarmiento:
GENIAL: An Evolutionary Recurrent Neural Network Designer and Trainer. CAST 1994: 295-301 - [c2]José Santos Reyes, Richard J. Duro:
Evolutionary Generation and Training of Recurrent Artificial Neural Networks. International Conference on Evolutionary Computation 1994: 759-763 - 1993
- [c1]José Santos Reyes, Ramón P. Otero:
Connectionist Models for Syllabic Recognition in the Time Domain. IWANN 1993: 149-154
Coauthor Index
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