Scientific production of: PROTEIN project (2017-2019)
| #1 | "A Multiobjective Adaptive Approach for the Inference of Evolutionary Relationships in Protein-Based Scenarios". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa. Information Sciences, Volume 485, Elsevier Science, New York, NY, USA, 2019, pp. 281-300, ISSN: 0020-0255. DOI: 10.1016/j.ins.2019.02.020. (JCR impact factor = 5.910, Quartile = Q1) | ||
| #2 | "Algorithms for Computational Biology: Fourth Edition". Carlos Martín-Vide, Miguel A. Vega-Rodríguez. Journal of Computational Biology, Volume 26, Issue 9, Mary Ann Liebert, New Rochelle, NY, USA, 2019, pp. 891-892, ISSN: 1066-5277. DOI: 10.1089/cmb.2019.29023.cmv. (JCR impact factor = 1.054, Quartile = Q3) | ||
| #3 | "Algorithms for Computational Biology: Third Edition". Carlos Martín-Vide, Miguel A. Vega-Rodríguez. IEEE-ACM Transactions on Computational Biology and Bioinformatics, Volume 16, Issue 3, IEEE Computer Society, Los Alamitos, CA, USA, 2019, pp. 701-702, ISSN: 1545-5963. DOI: 10.1109/TCBB.2019.2911264. (JCR impact factor = 3.015, Quartile = Q1) | ||
| #4 | "An Indicator-based Multi-Objective Optimization Approach Applied to Extractive Multi-Document Text Summarization". Jesus M. Sanchez-Gomez, Miguel A. Vega-Rodríguez, Carlos J. Pérez. IEEE Latin America Transactions, Volume 17, Issue 8, IEEE, Piscataway, NJ, USA, 2019, pp. 1291-1299, ISSN: 1548-0992. DOI: 10.1109/TLA.2019.8932338. (JCR impact factor = 0.782, Quartile = Q4) | ||
| #5 | "Comparative Analysis of Intra-Algorithm Parallel Multiobjective Evolutionary Algorithms: Taxonomy Implications on Bioinformatics Scenarios". Sergio Santander-Jiménez, Miguel A. Vega-Rodriguez. IEEE Transactions on Parallel and Distributed Systems, Volume 30, Issue 1, IEEE Computer Society, Los Alamitos, CA, USA, 2019, pp. 63-78, ISSN: 1045-9219. DOI: 10.1109/TPDS.2018.2854788. (JCR impact factor = 2.600, Quartile = Q2) | ||
| #6 | "Comparative Assessment of GPGPU Technologies to Accelerate Objective Functions: A Case Study on Parsimony". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Jorge Vicente-Viola, Leonel Sousa. Journal of Parallel and Distributed Computing, Volume 126, Academic Press-Elsevier Science, San Diego, CA, USA, 2019, pp. 67-81, ISSN: 0743-7315. DOI: 10.1016/j.jpdc.2018.12.006. (JCR impact factor = 2.296, Quartile = Q2) | ||
| #7 | "Comparison of Automatic Methods for Reducing the Pareto Front to a Single Solution applied to Multi-Document Text Summarization". Jesus M. Sanchez-Gomez, Miguel A. Vega-Rodríguez, Carlos J. Pérez. Knowledge-Based Systems, Volume 174, Elsevier Science, Amsterdam, The Netherlands, 2019, pp. 123-136, ISSN: 0950-7051. DOI: 10.1016/j.knosys.2019.03.002. (JCR impact factor = 5.921, Quartile = Q1) | ||
| #8 | "Data Science and AI-Based Optimization in Scientific Programming". Ricardo Soto, Juan A. Gomez-Pulido, Stéphane Caro, José M. Lanza-Gutiérrez. Scientific Programming, Vol. 2019, Hindawi, London, United Kingdom, 2019, 2019, pp. 1-3, ISSN: 1058-9244. DOI: 10.1155/2019/7154765. (JCR impact factor = 0.963, Quartile = Q3) | ||
| #9 | "Editorial IEEE Latin America Transactions 2019". J. Alejandro Díaz-Méndez, Erivelton G. Nepomuceno, Fernando Lessa, Miguel A. Vega-Rodríguez, Humberto Sossa, Ilse Cervantes. IEEE Latin America Transactions, Volume 17, Issue 1, IEEE, Piscataway, NJ, USA, 2019, pp. 3-6, ISSN: 1548-0992. DOI: 10.1109/TLA.2019.8826688. (JCR impact factor = 0.782, Quartile = Q4) | ||
| #10 | "Identifying Key Players in Large Social Networks by using a Multi-Objective Artificial Bee Colony Optimization Approach". Dimas de la Fuente, Miguel A. Vega-Rodríguez, Carlos J. Pérez. Applied Soft Computing, Volume 77, Elsevier Science, Amsterdam, The Netherlands, 2019, pp. 176-187, ISSN: 1568-4946. DOI: 10.1016/j.asoc.2019.01.018. (JCR impact factor = 5.472, Quartile = Q1) | ||
| #11 | "Modelling Low-Resolution Galaxy Spectral Energy Distribution with Evolutionary Algorithms". Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Mercedes Molla. Neurocomputing, Volumes 326-327, Elsevier Science, Amsterdam, The Netherlands, 2019, pp. 28-38, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2017.01.125. (JCR impact factor = 4.438, Quartile = Q1) | ||
| #12 | "Multi-Objective Artificial Bee Colony for Designing Multiple Genes Encoding the Same Protein". Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, José M. Granado-Criado. Applied Soft Computing, Volume 74, Elsevier Science, Amsterdam, The Netherlands, 2019, pp. 90-98, ISSN: 1568-4946. DOI: 10.1016/j.asoc.2018.10.023. (JCR impact factor = 5.472, Quartile = Q1) | ||
| #13 | "Multi-objective Memetic Meta-heuristic Algorithm for Encoding the Same Protein with Multiple Genes". Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez. Expert Systems With Applications, Volume 136, Pergamon-Elsevier Science, Oxford, England, UK, 2019, pp. 83-93, ISSN: 0957-4174. DOI: 10.1016/j.eswa.2019.06.031. (JCR impact factor = 5.452, Quartile = Q1) | ||
| #14 | "Multiobjective Metaheuristic to Design RNA Sequences". Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez. IEEE Transactions on Evolutionary Computation, Volume 23, Issue 1, IEEE, Piscataway, NJ, USA, 2019, pp. 156-169, ISSN: 1089-778X. DOI: 10.1109/TEVC.2018.2844116. (JCR impact factor = 11.169, Quartile = Q1) | ||
| #15 | "Multi-Objective Protein Encoding: Redefinition of the Problem, New Problem-aware Operators, and Approach based on Variable Neighborhood Search". Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez. Information Sciences, Volume 500, Elsevier Science, New York, NY, USA, 2019, pp. 173-189, ISSN: 0020-0255. DOI: 10.1016/j.ins.2019.05.088. (JCR impact factor = 5.910, Quartile = Q1) | ||
| #16 | "Parallel Computing in Bioinformatics: A View from High-Performance, Heterogeneous, and Cloud Computing". Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez. Journal of Supercomputing, Volume 75, Issue 7, Springer, Dordrecht, The Netherlands, 2019, pp. 3369-3373, ISSN: 0920-8542. DOI: 10.1007/s11227-019-02934-2. (JCR impact factor = 2.469, Quartile = Q2) | ||
| #17 | "Parallel Programming in Bioinformatics: Some Interesting Approaches". Miguel A. Vega-Rodríguez, José M. Granado-Criado. International Journal of Parallel Programming, Volume 47, Issue 2, Springer-Plenum Publishers, New York, NY, USA, 2019, pp. 293-295, ISSN: 0885-7458. DOI: 10.1007/s10766-018-0605-7. (JCR impact factor = 1.244, Quartile = Q3) | ||
| #18 | "Parallelizing a Multi-Objective Optimization Approach for Extractive Multi-Document Text Summarization". Jesus M. Sanchez-Gomez, Miguel A. Vega-Rodríguez, Carlos J. Pérez. Journal of Parallel and Distributed Computing, Volume 134, Academic Press-Elsevier Science, San Diego, CA, USA, 2019, pp. 166-179, ISSN: 0743-7315. DOI: 10.1016/j.jpdc.2019.09.001. (JCR impact factor = 2.296, Quartile = Q2) | ||
| #19 | "Theory and Practice of Natural Computing: Fifth Edition". Carlos Martín-Vide, Miguel A. Vega-Rodríguez. Soft Computing, Volume 23, Issue 5, Springer, New York, USA, 2019, pp. 1421-1422, ISSN: 1432-7643. DOI: 10.1007/s00500-019-03808-8. (JCR impact factor = 3.050, Quartile = Q2) | ||
| #20 | "Theory and Practice of Natural Computing: Sixth Edition". Carlos Martín-Vide, Miguel A. Vega-Rodríguez. BioSystems, Volume 186, Issue 104038, Elsevier Science, Oxford, England, UK, 2019, pp. 1-1, ISSN: 0303-2647. DOI: 10.1016/j.biosystems.2019.104038. (JCR impact factor = 1.808, Quartile = Q3) | ||
| #21 | "Toward a Robust Multi-Objective Metaheuristic for Solving the Relay Node Placement Problem in Wireless Sensor Networks". José M. Lanza-Gutiérrez, Nuria Caballé, Juan A. Gómez-Pulido, Broderick Crawford, and Ricardo Soto. Sensors, Vol. 19 (677), MDPI AG, Basel, Switzerland, 2019, pp. 1-24, ISSN: 1424-8220. DOI: 10.3390/s19030677. (JCR impact factor = 3.275, Quartile = Q1) | ||
| #22 | "A Characteristic-based Framework for Multiple Sequence Aligners". Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez. IEEE Transactions on Cybernetics, Volume 48, Issue 1, IEEE, Piscataway, NJ, USA, 2018, pp. 41-51, ISSN: 2168-2267. DOI: 10.1109/TCYB.2016.2621129. (JCR impact factor = 10.387, Quartile = Q1) | ||
| #23 | "A New Metaheuristic Inspired by the Vapour-Liquid Equilibrium for Continuous Optimization". Enrique M. Cortés-Toro, Broderick Crawford, Juan A. Gómez-Pulido, Ricardo Soto, and José M. Lanza-Gutiérrez. Applied Sciences 2018, 8, 2018, MDPI AG, Basel, Switzerland, 2018, 2018, pp. 1-36, ISSN: 2076-3417. DOI: 10.3390/app8112080. (JCR impact factor = 2.217, Quartile = Q2) | ||
| #24 | "A Parallel Multiobjective Metaheuristic for Multiple Sequence Alignment". Álvaro Rubio-Largo, Mauro Castelli, Leonardo Vanneschi, Miguel A. Vega-Rodríguez. Journal of Computational Biology, Volume 25, Issue 9, Mary Ann Liebert, New Rochelle, NY, USA, 2018, pp. 1009-1022, ISSN: 1066-5277. DOI: 10.1089/cmb.2018.0031. (JCR impact factor = 0.879, Quartile = Q3) | ||
| #25 | "Automatic Selection of a Single Solution from the Pareto Front to Identify Key Players in Social Networks". Dimas de la Fuente, Miguel A. Vega-Rodríguez, Carlos J. Pérez. Knowledge-Based Systems, Volume 160, Elsevier Science, Amsterdam, The Netherlands, 2018, pp. 228-236, ISSN: 0950-7051. DOI: 10.1016/j.knosys.2018.07.018. (JCR impact factor = 5.101, Quartile = Q1) | ||
| #26 | "Extractive Multi-Document Text Summarization Using a Multi-Objective Artificial Bee Colony Optimization Approach". Jesus M. Sanchez-Gomez, Miguel A. Vega-Rodríguez, Carlos J. Pérez. Knowledge-Based Systems, Volume 159, Elsevier Science, Amsterdam, The Netherlands, 2018, pp. 1-8, ISSN: 0950-7051. DOI: 10.1016/j.knosys.2017.11.029. (JCR impact factor = 5.101, Quartile = Q1) | ||
| #27 | "Multi-Objective Artificial Bee Colony Algorithm applied to the Bi-Objective Orienteering Problem". Rodrigo Martín-Moreno, Miguel A. Vega-Rodríguez. Knowledge-Based Systems, Volume 154, Elsevier Science, Amsterdam, The Netherlands, 2018, pp. 93-101, ISSN: 0950-7051. DOI: 10.1016/j.knosys.2018.05.005. (JCR impact factor = 5.101, Quartile = Q1) | ||
| #28 | "Multiobjective Characteristic-based Framework for Very-Large Multiple Sequence Alignment". Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez. Applied Soft Computing, Volume 69, Elsevier Science, Amsterdam, The Netherlands, 2018, pp. 719-736, ISSN: 1568-4946. DOI: 10.1016/j.asoc.2017.06.022. (JCR impact factor = 4.873, Quartile = Q1) | ||
| #29 | "Multiobjective Frog-Leaping Optimization for the Study of Ancestral Relationships in Protein Data". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa. IEEE Transactions on Evolutionary Computation, Volume 22, Issue 6, IEEE, Piscataway, NJ, USA, 2018, pp. 879-893, ISSN: 1089-778X. DOI: 10.1109/TEVC.2017.2774599. (JCR impact factor = 8.508, Quartile = Q1) | ||
| #30 | "Optimization of Resources in Parallel Systems using a Multiobjective Artificial Bee Colony Algorithm". César Gómez-Martín, Miguel A. Vega-Rodríguez. Journal of Supercomputing, Volume 74, Issue 8, Springer, Dordrecht, The Netherlands, 2018, pp. 4019-4036, ISSN: 0920-8542. DOI: 10.1007/s11227-018-2407-5. (JCR impact factor = 2.157, Quartile = Q2) | ||
| #31 | "Parallel Computing in Computational Biology: A Technological Point of View". Miguel A. Vega-Rodríguez, José M. Granado-Criado. Journal of Computational Biology, Volume 25, Issue 8, Mary Ann Liebert, New Rochelle, NY, USA, 2018, pp. 837-840, ISSN: 1066-5277. DOI: 10.1089/cmb.2018.29018.mavr. (JCR impact factor = 0.879, Quartile = Q3) | ||
| #32 | "Parallelism in Computational Biology: A View from Diverse High-Performance Computing Applications". Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo. International Journal of High Performance Computing Applications, Volume 32, Issue 3, SAGE Publications, London, England, UK, 2018, pp. 317-320, ISSN: 1094-3420. DOI: 10.1177/1094342016677599. (JCR impact factor = 1.956, Quartile = Q2) | ||
| #33 | "Searching for Common Patterns on Protein Sequences by means of a Parallel Hybrid Honey-Bee Mating Optimization Algorithm". David L. González-Álvarez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo. Parallel Computing, Volume 76, Elsevier Science, Amsterdam, The Netherlands, 2018, pp. 1-17, ISSN: 0167-8191. DOI: 10.1016/j.parco.2018.04.001. (JCR impact factor = 1.281, Quartile = Q3) | ||
| #34 | "Swarm Intelligence for Optimizing the Parameters of Multiple Sequence Aligners". Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez. Swarm and Evolutionary Computation, Volume 42, Elsevier Science, Amsterdam, The Netherlands, 2018, pp. 16-28, ISSN: 2210-6502. DOI: 10.1016/j.swevo.2018.04.003. (JCR impact factor = 6.330, Quartile = Q1) | ||
| #35 | "Virtual Classrooms as Data Sources for Prediction Tools". Arturo Duran-Dominguez, Juan A. Gomez-Pulido, Francisco Pajuelo-Holguera. PUPIL: International Journal of Teaching, Education, and Learning, Vol. 2, Issue 2, GRDS Publishing, Rajasthan, India, 2018, 2018, pp. 170-180, ISSN: 2457-0648. DOI: 10.20319/pijtel.2018.22.170180 . | ||
| #36 | "A Fine-Grained Parallel Approach for the Registration Areas Optimization". Víctor Berrocal-Plaza, Miguel A. Vega-Rodríguez, Juan M. Sánchez-Pérez. Logic Journal of the IGPL, Volume 25, Issue 6, Oxford University Press, Oxford, England, UK, 2017, pp. 862-876, ISSN: 1367-0751. DOI: 10.1093/jigpal/jzx032. (JCR impact factor = 0.449, Quartile = Q4) | ||
| #37 | "A Hybrid MPI/OpenMP Parallel Implementation of NSGA-II for Finding Patterns in Protein Sequences". David L. González-Álvarez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo. Journal of Supercomputing, Volume 73, Issue 6, Springer, Dordrecht, The Netherlands, 2017, pp. 2285-2312, ISSN: 0920-8542. DOI: 10.1007/s11227-016-1916-3. (JCR impact factor = 1.532, Quartile = Q2) | ||
| #38 | "A Multi-Objective Artificial Bee Colony-based Optimization Approach to Design Water Quality Monitoring Networks in River Basins". Carlos J. Pérez, Miguel A. Vega-Rodríguez, Klara Reder, Martina Flörke. Journal of Cleaner Production, Volume 166, Elsevier Science, Oxford, England, UK, 2017, pp. 579-589, ISSN: 0959-6526. DOI: 10.1016/j.jclepro.2017.08.060. (JCR impact factor = 5.651, Quartile = Q1) | ||
| #39 | "Accelerating the Phylogenetic Parsimony Function on Heterogeneous Systems". Sergio Santander-Jiménez, Aleksandar Ilic, Leonel Sousa, Miguel A. Vega-Rodríguez. Concurrency and Computation: Practice and Experience, Volume 29, Issue 8, e4046, Wiley-Blackwell, Hoboken, NJ, England, UK, 2017, pp. 1-15, ISSN: 1532-0626. DOI: 10.1002/cpe.4046. (JCR impact factor = 1.114, Quartile = Q3) | ||
| #40 | "Analyzing the Effects of Binarization Techniques when Solving the Set Covering Problem Through Swarm Optimization". Jose M. Lanza-Gutierrez, Broderick Crawford, Ricardo Soto, Natalia Berrios, Juan A. Gomez-Pulido, and Fernando Paredes. Expert Systems with Applications. Vol. 70, Elsevier, Oxford, England, UK, 2017, pp. 67-82, ISSN: 0957-4174. DOI: 10.1016/j.eswa.2016.10.054. (JCR impact factor = 3.768, Quartile = Q1) | ||
| #41 | "Asynchronous Non-Generational Model to Parallelize Metaheuristics: A Bioinformatics Case Study". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez. IEEE Transactions on Parallel and Distributed Systems, Volume 28, Issue 7, IEEE Computer Society, Los Alamitos, CA, USA, 2017, pp. 1825-1838, ISSN: 1045-9219. DOI: 10.1109/TPDS.2016.2645764. (JCR impact factor = 3.971, Quartile = Q1) | ||
| #42 | "Context-aware prediction of access points demand in Wi-Fi networks". David Rodriguez-Lozano, Juan A. Gomez-Pulido, Jose M. Lanza-Gutierrez, Arturo Duran-Dominguez, Ramon A. Fernandez-Diaz. Computer Networks 117, Elsevier, Oxford, England, UK, 2017, pp. 52-61, ISSN: 1389-1286. DOI: 10.1016/j.comnet.2017.01.002. (JCR impact factor = 2.522, Quartile = Q1) | ||
| #43 | "Energy Prediction of Access Points in Wi-Fi Networks According to Users Behaviour". David Rodriguez-Lozano, Juan A. Gomez-Pulido, Jose M. Lanza-Gutierrez, Arturo Duran-Dominguez, Broderick Crawford and Ricardo Soto. Applied Sciences 7(8), 825, MDPI AG, Basel, Switzerland, 2017, 2017, pp. 1-17, ISSN: 2076-3417. DOI: 10.3390/app7080825. (JCR impact factor = 1.689, Quartile = Q3) | ||
| #44 | "Hardware Coprocessors for High-Performance Symmetric Cryptography". José M. Granado-Criado, Miguel A. Vega-Rodríguez. Journal of Supercomputing, Volume 73, Issue 6, Springer, Dordrecht, The Netherlands, 2017, pp. 2456-2482, ISSN: 0920-8542. DOI: 10.1007/s11227-016-1929-y. (JCR impact factor = 1.532, Quartile = Q2) | ||
| #45 | "Parallel Evaluation of Nonseparable Functions by Evolutionary Algorithms on GPU". Miguel Cárdenas-Montes, Miguel A. Vega-Rodríguez, Juan J. Rodríguez-Vázquez, Antonio Gómez-Iglesias. Concurrency and Computation: Practice and Experience, Volume 29, Issue 5, e3949, Wiley-Blackwell, Hoboken, NJ, England, UK, 2017, pp. 1-11, ISSN: 1532-0626. DOI: 10.1002/cpe.3949. (JCR impact factor = 1.114, Quartile = Q3) | ||
| #46 | "Parallelism-based Approaches in Computational Biology: A View from Diverse Case Studies". Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez. Cluster Computing-The Journal of Networks Software Tools and Applications, Volume 20, Issue 3, Springer, New York, NY, USA, 2017, pp. 1865-1867, ISSN: 1386-7857. DOI: 10.1007/s10586-017-1037-7. (JCR impact factor = 1.601, Quartile = Q2) | ||
| #47 | "Reducing Alignment Time Complexity of Ultra-large Sets of Sequences". Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez. Journal of Computational Biology, Volume 24, Issue 11, Mary Ann Liebert, New Rochelle, NY, USA, 2017, pp. 1144-1152, ISSN: 1066-5277. DOI: 10.1089/cmb.2017.0097. (JCR impact factor = 1.191, Quartile = Q2) | ||
| #48 | "Solving the Multi-Objective Path Planning Problem in Mobile Robotics with a Firefly-based Approach". Alejandro Hidalgo-Paniagua, Miguel A. Vega-Rodríguez, Joaquín Ferruz, Nieves Pavón. Soft Computing, Volume 21, Issue 4, Springer, New York, USA, 2017, pp. 949-964, ISSN: 1432-7643. DOI: 10.1007/s00500-015-1825-z. (JCR impact factor = 2.367, Quartile = Q2) | ||
| #49 | "Using Biological Knowledge for Multiple Sequence Aligner Decision Making". Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez. Information Sciences, Volume 420, Elsevier Science, New York, NY, USA, 2017, pp. 278-298, ISSN: 0020-0255. DOI: 10.1016/j.ins.2017.08.069. (JCR impact factor = 4.305, Quartile = Q1) | ||
| #50 | "Using Mixed Mode Programming to Parallelize an Indicator-Based Evolutionary Algorithm for Inferring Multiobjective Phylogenetic Histories". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez. Soft Computing, Volume 21, Issue 19, Springer, New York, USA, 2017, pp. 5601-5620, ISSN: 1432-7643. DOI: 10.1007/s00500-016-2219-6. (JCR impact factor = 2.367, Quartile = Q2) |
| #1 | "Analysis of MOEA/D Approaches for Inferring Ancestral Relationships", in: "Hybrid Artificial Intelligence Systems. LNAI, Vol. 11734". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa. Springer, Switzerland, 2019, pp. 168-180. ISBN: 978-3-030-29858-6. | ||
| #2 | "Evaluating Strategies for Selecting Test Datasets in Recommender Systems", in: "Hybrid Artificial Intelligence Systems. LNAI, Vol. 11734". Francisco Pajuelo-Holguera, Juan A. Gómez-Pulido, Fernando Ortega. Springer, Switzerland, 2019, pp. 243-253. ISBN: 978-3-030-29858-6. | ||
| #3 | "Solving the Set Covering Problem Using Spotted Hyena Optimizer and Autonomous Search", in: "Advances and Trends in Artificial Intelligence: From Theory to Practice". Ricardo Soto, Broderick Crawford, Emanuel Vega, Alvaro Gómez, and Juan A. Gómez-Pulido. F. Wotawa et al. (Eds.). Springer, Switzerland, 2019, pp. 854-861. ISBN: 978-3-030-22998-6. | ||
| #4 | "Experiencias de predicción del rendimiento académico en aulas virtuales para la propuesta de herramientas de apoyo para profesores y estudiantes", in: "Campus Digitales en la Educación Superior. Experiencias e Investigaciones". Arturo Durán Domínguez, Juan Antonio Gómez Pulido y Juan Luis Rastrollo Guerrero. J. Valverde-Berrocoso (Ed.). Universidad de Extremadura, Badajoz, España, 2018, pp. 190-198. ISBN: 978-84-09-07198-2. | ||
| #5 | "Experiencias en el empleo de nuevos sistemas de monitorización de Campus Virtuales Universitarios", in: "Campus Digitales en la Educación Superior. Experiencias e Investigaciones". Arturo Durán Domínguez, Laura Martín Sánchez, José Carlos Sancho Núnez y Javier Nevado Polo. J. Valverde-Berrocoso (Ed.). Universidad de Extremadura, Badajoz, España, 2018, pp. 212-220. ISBN: 978-84-09-07198-2. | ||
| #6 | "Improving the Accuracy of Prediction Applications by Efficient Tuning of Gradient Descent Using Genetic Algorithms", in: "Hybrid Artificial Intelligence Systems. LNAI, Vol. 10870". Arturo Duran-Dominguez, Juan A. Gomez-Pulido, and David Rodriguez-Lozano. Springer, Switzerland, 2018, pp. 210-221. ISBN: 978-3-319-92638-4. | ||
| #7 | "Metodología previa a la aplicación de sistemas analíticos sobre entornos virtuales de aprendizaje", in: "Campus Digitales en la Educación Superior. Experiencias e Investigaciones". Arturo Durán Domínguez, Juan Antonio Gómez Pulido y Juan Luis Rastrollo Guerrero. J. Valverde-Berrocoso (Ed.). Universidad de Extremadura, Badajoz, España, 2018, pp. 200-211. ISBN: 978-84-09-07198-2. | ||
| #8 | "Modelos Estadísticos basados en Analítica de Aprendizaje para la Predicción de la Calificación en Plataformas Docentes Virtuales", in: "Campus Digitales en la Educación Superior. Experiencias e Investigaciones". Fernando Calle-Alonso, Vicente Botón-Fernández, Carlos J. Pérez, Miguel A. Vega-Rodríguez, Jesus M. Sanchez-Gomez. J. Valverde-Berrocoso (Eds.). University of Extremadura, Badajoz, Spain, 2018, pp. 139-148. ISBN: 978-84-09-07198-2. | ||
| #9 | "Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus", in: "Intelligent Data Engineering and Automated Learning – IDEAL 2018. LNCS, Vol. 11314". Juan A. Gómez-Pulido, Enrique Cortés-Toro, Arturo Durán-Domínguez, Broderick Crawford, and Ricardo Soto. Springer, Switzerland, 2018, pp. 1-9. ISBN: 978-3-030-03492-4. | ||
| #10 | "Resumen Extractivo Automático de los Contenidos Escritos por los Estudiantes en Campus Digitales: un Caso de Estudio en la Plataforma de e-Learning NeuroK", in: "Campus Digitales en la Educación Superior. Experiencias e Investigaciones". Jesus M. Sanchez-Gomez, Miguel A. Vega-Rodríguez, Vicente Botón-Fernández, Carlos J. Pérez. J. Valverde-Berrocoso (Eds.). University of Extremadura, Badajoz, Spain, 2018, pp. 127-137. ISBN: 978-84-09-07198-2. | ||
| #11 | "Supervised Learning: Classification", in: "Reference Module in Life Sciences". Mauro Castelli, Leonardo Vanneschi, Álvaro Rubio-Largo. Elsevier, Amsterdam, The Netherlands, 2018, pp. -. ISBN: 978-0-12-809633-8. | ||
| #12 | "Teledetección y Agricultura de Precisión Aplicadas al Olivar Tradicional", in: "Sistemas de Información Geográfica y Teledetección: Aplicaciones en el Análisis Territorial". Judit Rubio, Miguel A. Vega-Rodríguez, J. Francisco Lavado, Manuel Villar. A. Nieto-Masot, G. Cárdenas-Alonso (Eds.). University of Extremadura, Cáceres, Spain, 2018, pp. 55-68. ISBN: 978-84-09-03749-0. | ||
| #13 | "Time Series Optimization for Energy Prediction in Wi-Fi Infrastructures", in: "Time Series Analysis and Forecasting". David Rodríguez Lozano, Juan A. Gomez-Pulido and Arturo Durán Domínguez. Springer, Switzerland, 2018, pp. 245-257. ISBN: 978-3-319-96943-5. | ||
| #14 | "Applying an Electromagnetism-Like Algorithm for Solving the Manufacturing Cell Design Problem", in: "Recent Developments in Intelligent Nature-Inspired Computing. Advances in Computational Intelligence and Robotics (ACIR) Book Series". Jose M. Lanza-Gutierrez, Juan A. Gomez-Pulido, Ricardo Soto, Nicolas Fernández, Broderick Crawford, Carlos Castillo. Srikanta Patnaik (Ed.). IGI Global , Hershey, USA, 2017, 2017, pp. 37-61. ISBN: 978-1-5225-2322-2. | ||
| #15 | "Improving Multiobjective Phylogenetic Searches by Using a Parallel epsilon-Dominance Based Adaptation of the Firefly Algorithm", in: "Euro-Par 2016: Parallel Processing Workshops, LNCS, Vol. 10104". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez. Springer International Publishing, Switzerland, 2017, pp. 384-396. ISBN: 978-3-319-58942-8. | ||
| #16 | "Parallel Multi-Objective Optimization for High-Order Epistasis Detection", in: "Algorithms and Architectures for Parallel Processing, LNCS, Vol. 10393". Daniel Gallego-Sánchez, José M. Granado-Criado, Sergio Santander-Jiménez, Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez. Springer International Publishing, Switzerland, 2017, pp. 523-532. ISBN: 978-3-319-65481-2. |
| #1 | "Algorithms for Computational Biology, LNCS/LNBI, Vol. 11488". Several authors. Ian Holmes, Carlos Martín-Vide, Miguel A. Vega-Rodríguez (Eds). Springer, Switzerland, 2019. ISBN: 978-3-030-18173-4. ISSN: 0302-9743. | ||
| #2 | "Avances en Arquitectura y Tecnología de Computadores. Actas de las Jornadas SARTECO 2019". Several authors. Miguel A. Vega-Rodríguez, Antonio J. Plaza Miguel (Eds). Servicio de Publicaciones, Universidad de Extremadura, Cáceres, Spain, 2019. ISBN: 978-84-09-12127-4. | ||
| #3 | "Special Issue from the Fourth International Conference on Algorithms for Computational Biology (AlCoB 2017)" (Journal of Computational Biology, Volume 26, Issue 9, September 2019). Carlos Martín-Vide, Miguel A. Vega-Rodríguez. Mary Ann Liebert, New Rochelle, NY, USA, 2019. ISSN: 1066-5277. (JCR impact factor = 1.054) | ||
| #4 | "Special Issue on Advanced Techniques in the Analysis and Prediction of Students Behaviour in Technology-Enhanced Learning Contexts" (Applied Sciences. Section Computing and Artificial Intelligence). Juan A. Gómez-Pulido, Young Park, Ricardo Soto. MDPI AG, Basel, Switzerland, 2019, 2019. ISSN: 2076-3417. (JCR impact factor = 2.474) | ||
| #5 | "Special Issue on Advances in Recent Nature-Inspired Algorithms for Neural Engineering" (Computational Intelligence and Neuroscience). Ricardo Soto, Juan A. Gómez-Pulido, Eduardo Rodriguez-Tello, Pedro Isasi. Hindawi, London, UK, 2019, 2019. ISSN: 1687-5265. (JCR impact factor = 2.284) | ||
| #6 | "Special Issue on Algorithms for Computational Biology: Third Edition" (IEEE-ACM Transactions on Computational Biology and Bioinformatics, Volume 16, Issue 3, May-June 2019). Carlos Martín-Vide, Miguel A. Vega-Rodríguez. IEEE Computer Society, Los Alamitos, CA, USA, 2019. ISSN: 1545-5963. (JCR impact factor = 3.015) | ||
| #7 | "Special Issue on Intelligent Health Services Based on Biomedical Smart Sensors" (Applied Sciences. Section Computing and Artificial Intelligence). Ricardo Colomo-Palacios, Juan A. Gómez-Pulido, Alfredo J. Pérez. MDPI AG, Basel, Switzerland, 2019, 2019. ISSN: 2076-3417. (JCR impact factor = 2.474) | ||
| #8 | "Special Issue on Parallel Computing in Bioinformatics" (Journal of Supercomputing, Volume 75, Issue 7, July 2019). Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez. Springer, Dordrecht, The Netherlands, 2019. ISSN: 0920-8542. (JCR impact factor = 2.469) | ||
| #9 | "Special Issue on Parallel Programming in Bioinformatics" (International Journal of Parallel Programming, Volume 47, Issue 2, April 2019). Miguel A. Vega-Rodríguez, José M. Granado-Criado. Springer-Plenum Publishers, New York, NY, USA, 2019. ISSN: 0885-7458. (JCR impact factor = 1.244) | ||
| #10 | "Special Issue on Selected papers from the International Conference on the Theory and Practice of Natural Computing 2017" (BioSystems, Volume 186, December 2019). Carlos Martín-Vide, Miguel A. Vega-Rodríguez. Elsevier Science, Oxford, England, UK, 2019. ISSN: 0303-2647. (JCR impact factor = 1.808) | ||
| #11 | "Special Issue on Theory and Practice of Natural Computing: Fifth Edition" (Soft Computing, Volume 23, Issue 5, March 2019). Carlos Martín-Vide, Miguel A. Vega-Rodríguez. Springer, New York, USA, 2019. ISSN: 1432-7643. (JCR impact factor = 3.050) | ||
| #12 | "Theory and Practice of Natural Computing, LNCS, Vol. 11934". Several authors. Carlos Martín-Vide, Geoffrey Pond, Miguel A. Vega-Rodríguez (Eds). Springer, Switzerland, 2019. ISBN: 978-3-030-34499-3. ISSN: 0302-9743. | ||
| #13 | "Algorithms for Computational Biology, LNCS/LNBI, Vol. 10849". Several authors. Jesper Jansson, Carlos Martín-Vide, Miguel A. Vega-Rodríguez (Eds). Springer, Switzerland, 2018. ISBN: 978-3-319-91937-9. ISSN: 0302-9743. | ||
| #14 | "Proceedings of the 6th International Workshop on Parallelism in Bioinformatics (PBio 2018)". Several authors. Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, José M. Granado-Criado, Rosa M. Badia (Eds). ACM, New York, USA, 2018. ISBN: 978-1-4503-6531-4. | ||
| #15 | "Special Issue on Algorithm and Distributed Computing for the Internet of Things" (Sensors, Vol. 18 (10)). Juan A. Gomez-Pulido, Jorge Sá Silva, Takahiro Hara. MDPI AG, Basel, Switzerland, 2018. ISSN: 1424-8220. (JCR impact factor = 3.031) | ||
| #16 | "Special Issue on Data Science and AI-Based Optimization in Scientific Programming" (Scientific Programming, Vol. 2018). Ricardo Soto, Juan A. Gomez-Pulido, Stéphane Caro, José M. Lanza-Gutiérrez. Hindawi, London, United Kingdom, 2018, 2018. ISSN: 1058-9244. (JCR impact factor = 1.289) | ||
| #17 | "Special Issue on Parallel Computing in Computational Biology" (Journal of Computational Biology, Volume 25, Issue 8, August 2018). Miguel A. Vega-Rodríguez, José M. Granado-Criado. Mary Ann Liebert, New Rochelle, NY, USA, 2018. ISSN: 1066-5277. (JCR impact factor = 0.879) | ||
| #18 | "Special Issue on Parallelism in Computational Biology" (International Journal of High Performance Computing Applications, Volume 32, Issue 3, May 2018). Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo. SAGE Publications, London, England, UK, 2018. ISSN: 1094-3420. (JCR impact factor = 1.956) | ||
| #19 | "Theory and Practice of Natural Computing, LNCS, Vol. 11324". Several authors. David Fagan, Carlos Martín-Vide, Michael O´Neill, Miguel A. Vega-Rodríguez (Eds). Springer, Switzerland, 2018. ISBN: 978-3-030-04069-7. ISSN: 0302-9743. | ||
| #20 | "Algorithms for Computational Biology, LNCS/LNBI, Vol. 10252". Several authors. Daniel Figueiredo, Carlos Martín-Vide, Diogo Pratas, Miguel A. Vega-Rodríguez (Eds). Springer, Switzerland, 2017. ISBN: 978-3-319-58162-0. ISSN: 0302-9743. | ||
| #21 | "Euro-Par 2016: Parallel Processing Workshops, LNCS, Vol. 10104". Several authors. Frédéric Desprez, Pierre-François Dutot, Christos Kaklamanis, Loris Marchal, Korbinian Molitorisz, Laura Ricci, Vittorio Scarano, Miguel A. Vega-Rodríguez, Ana Lucia Varbanescu, Sascha Hunold, Stephen L. Scott, S. Lankes, J. Weidendorfer (Eds). Springer, Switzerland, 2017. ISBN: 978-3-319-58942-8. ISSN: 0302-9743. | ||
| #22 | "Special Issue on Parallelism-based Approaches in Computational Biology" (Cluster Computing-The Journal of Networks Software Tools and Applications, Volume 20, Issue 3, September 2017). Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez. Springer, New York, NY, USA, 2017. ISSN: 1386-7857. (JCR impact factor = 1.601) | ||
| #23 | "Theory and Practice of Natural Computing, LNCS, Vol. 10687". Several authors. Carlos Martín-Vide, Roman Neruda, Miguel A. Vega-Rodríguez (Eds). Springer, Switzerland, 2017. ISBN: 978-3-319-71068-6. ISSN: 0302-9743. |
| #1 | "Análisis Comparativo de Tecnologías GPGPU para Acelerar Funciones Objetivo: Parsimonia como Caso de Estudio". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Jorge Vicente-Viola, Leonel Sousa. Avances en Arquitectura y Tecnología de Computadores. Actas de las Jornadas SARTECO 2019, Servicio de Publicaciones, Universidad de Extremadura, Cáceres, Spain, 2019, pp. 21-28. ISBN: 978-84-09-12127-4. | ||
| #2 | "Implementación SoC de una aplicación de filtrado colaborativo". Francisco Pajuelo-Holguera, Juan A. Gómez-Pulido, Fernando Ortega. Avances en Arquitectura y Tecnología de Computadores. Actas de las Jornadas Sarteco, , Cáceres, España, 2019, pp. 539-544. ISBN: 978-84-09-12127-4. | ||
| #3 | "Simulador para la Gestión de Recursos de Cómputo: Evaluación de Distintos Métodos de Selección". César Gómez-Martín, Miguel A. Vega-Rodríguez. Avances en Arquitectura y Tecnología de Computadores. Actas de las Jornadas SARTECO 2019, Servicio de Publicaciones, Universidad de Extremadura, Cáceres, Spain, 2019, pp. 469-478. ISBN: 978-84-09-12127-4. | ||
| #4 | "Taxonomía de Algoritmos Evolutivos Multiobjetivo Paralelos: Una Visión Intra-Algorítmica". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez. Avances en Arquitectura y Tecnología de Computadores. Actas de las Jornadas SARTECO 2019, Servicio de Publicaciones, Universidad de Extremadura, Cáceres, Spain, 2019, pp. 12-20. ISBN: 978-84-09-12127-4. | ||
| #5 | "Algoritmo Multiobjetivo de Colonia de Abejas Artificiales aplicado al Problema de Orientación". Rodrigo Martín-Moreno, Miguel A. Vega-Rodríguez. Actas del XIII Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2018), parte de CAEPIA 2018, Universidad de Granada, Granada, Spain, 2018, pp. 657-662. ISBN: 978-84-09-05643-9. | ||
| #6 | "Algoritmo Multi-objetivo de Murciélagos para Reconstrucción Filogenética en Procesadores Multicore". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa. Actas de las XXIX Jornadas de Paralelismo (JP 2018), Universidad de Zaragoza, Teruel, Spain, 2018, pp. 35-41. ISBN: 978-84-09-04334-7. | ||
| #7 | "Análisis de Diseños Paralelos Multiobjetivo y Políticas de Planificación en Biología Evolutiva". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa. Actas del XIII Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2018), parte de CAEPIA 2018, Universidad de Granada, Granada, Spain, 2018, pp. 687-692. ISBN: 978-84-09-05643-9. | ||
| #8 | "Analysis of Scheduling Policies in Metaheuristics for Evolutionary Biology". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa. Proceedings of the 6th International Workshop on Parallelism in Bioinformatics (PBio 2018), part of EuroMPI 2018, Association for Computing Machinery (ACM), Barcelona, Spain, 2018, pp. 3-10. ISBN: 978-1-4503-6531-4. | ||
| #9 | "Computación empotrada de funciones de los sistemas de recomendación mediante FPGAs". Francisco Pajuelo Holguera, Juan Antonio Gómez Pulido, Arturo Durán Domínguez y José María Granado Criado. Avances en Arquitectura y Tecnología de Computadores. Actas de las Jornadas Sarteco, F.J. Martínez, J.A. Sanguesa, P. Garrido, A. González, D. Llanos, S. Cuenca, J. González (eds.). Sociedad de Arquitectura y Tecnología de Computadores, Teruel, España, 2018, pp. 525-531. ISBN: 978-84-09-04334-7. | ||
| #10 | "Experiencias de predicción del rendimiento académico en aulas virtuales para la propuesta de herramientas de apoyo para profesores y estudiantes". Arturo Durán Domínguez, Juan Antonio Gómez Pulido y Juan Luis Rastrollo Guerrero. Actas del I Congreso Internacional Campus Digitales en Educación Superior, J. Valverde-Berrocoso (Ed.). Universidad de Extremadura, Cáceres, España, 2018, pp. 75-78. ISBN: 978-84-09-07196-8. | ||
| #11 | "Experiencias en el empleo de nuevos sistemas de monitorización de Campus Virtuales Universitarios". Arturo Durán Domínguez, Laura Martín Sánchez, José Carlos Sancho Núnez y Javier Nevado Polo. Actas del I Congreso Internacional Campus Digitales en Educación Superior, J. Valverde-Berrocoso (Ed.). Universidad de Extremadura, Cáceres, España, 2018, pp. 83-86. ISBN: 978-84-09-07196-8. | ||
| #12 | "Graphs and Key Players in an Educational Social Network". Fernando Calle-Alonso, Vicente Botón-Fernández, Dimas de la Fuente, Carlos J. Pérez, Miguel A. Vega-Rodríguez, Daniel de la Mata. Proceedings of the 10th International Conference on Computer Supported Education (CSEDU 2018), Volume 2, SCITEPRESS (Science and Technology Publications), Funchal, Madeira, Portugal, 2018, pp. 523-527. ISBN: 978-989-758-291-2. | ||
| #13 | "Including Machine Learning Tools in On-Line Campus Environments for Predicting Student Performance". Arturo Duran-Dominguez, Juan A. Gomez-Pulido, Francisco Pajuelo-Holguera. Proceedings of the 5th International Conference on Teaching, Education and Learning (ICTEL 2018), Global Research and Development Services, Universidade de Lisboa, Lisbon, Portugal, 2018, pp. 39-40. | ||
| #14 | "Metodología previa a la aplicación de sistemas analíticos sobre entornos virtuales de aprendizaje". Arturo Durán Domínguez, Juan Antonio Gómez Pulido y Juan Luis Rastrollo Guerrero. Actas del I Congreso Internacional Campus Digitales en Educación Superior, J. Valverde-Berrocoso (Ed.). Universidad de Extremadura, Cáceres, España, 2018, pp. 79-82. ISBN: 978-84-09-07196-8. | ||
| #15 | "Modelos Estadísticos basados en Analítica de Aprendizaje para la Predicción de la Calificación en Plataformas Docentes Virtuales". Fernando Calle-Alonso, Vicente Botón-Fernández, Carlos J. Pérez, Miguel A. Vega-Rodríguez, Jesus M. Sanchez-Gomez. Proceedings of the I Congreso Internacional de Campus Digitales en Educación Superior, University of Extremadura, Caceres, Spain, 2018, pp. 59-62. ISBN: 978-84-09-07196-8. | ||
| #16 | "Phylogenetic Reconstructions Using an Indicator-Based Bat Algorithm for Multicore Processors". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa. Proceedings of the 2018 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2018), IEEE Computer Society, Madrid, Spain, 2018, pp. 753-756. ISBN: 978-1-5386-5487-3. | ||
| #17 | "Resumen Extractivo Automático de los Contenidos Escritos por los Estudiantes en Campus Digitales: un Caso de Estudio en la Plataforma de e-Learning NeuroK". Jesus M. Sanchez-Gomez, Miguel A. Vega-Rodríguez, Vicente Botón-Fernández, Carlos J. Pérez. Proceedings of the I Congreso Internacional de Campus Digitales en Educación Superior, University of Extremadura, Caceres, Spain, 2018, pp. 55-58. ISBN: 978-84-09-07196-8. | ||
| #18 | "Resumen Extractivo de Texto Multidocumento usando un Enfoque de Optimización Multiobjetivo basado en Colonia de Abejas Artificiales". Jesus M. Sanchez-Gomez, Miguel A. Vega-Rodríguez, Carlos J. Pérez. Actas del XIII Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2018), parte de CAEPIA 2018, Universidad de Granada, Granada, Spain, 2018, pp. 651-656. ISBN: 978-84-09-05643-9. | ||
| #19 | "Selecting Latent Factors when Predicting Student Performance in Online Campus by Using Recommender Systems". Arturo Durán-Domínguez, Juan A. Gómez-Pulido, David Rodríguez-Lozano, Francisco Pajuelo-Holguera. Proceedings of 13th Iberian Conference on Information Systems and Technologies (CISTI 2018), IEEE, Cáceres, Spain, 2018, pp. 1-6. | ||
| #20 | "Word Clouds as a Learning Analytic Tool for the Cooperative e-Learning Platform NeuroK". Fernando Calle-Alonso, Vicente Botón-Fernández, Jesus M. Sanchez-Gomez, Miguel A. Vega-Rodríguez, Carlos J. Pérez, Daniel de la Mata. Proceedings of the 10th International Conference on Computer Supported Education (CSEDU 2018), Volume 2, SCITEPRESS (Science and Technology Publications), Funchal, Madeira, Portugal, 2018, pp. 508-513. ISBN: 978-989-758-291-2. | ||
| #21 | "An Accuracy-Aware Implementation of Two-Point Three-Dimensional Correlation Function using Bin-Recycling Strategy on GPU". Iván Méndez-Jiménez, Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Ignacio Sevilla Noarbe, Eusebio Sánchez Álvaro, Miguel A. Vega-Rodríguez, David Alonso. Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017), IEEE Computer Society, Madrid, Spain, 2017, pp. 913-920. ISBN: 978-1-5090-6610-0. | ||
| #22 | "Computación Heterogénea CPU+GPU Aplicada a los Cálculos de Parsimonia Filogenética". Sergio Santander-Jiménez, Aleksandar Ilic, Leonel Sousa, Miguel A. Vega-Rodríguez. Actas de las XXVIII Jornadas de Paralelismo (JP 2017), Universidad de Malaga, Malaga, Spain, 2017, pp. 75-81. ISBN: 978-84-697-4835-0. | ||
| #23 | "Designing Water Quality Monitoring Networks by Using a Multi-Objective Artificial Bee Colony-based Optimization Approach". Miguel A. Vega-Rodríguez, Carlos J. Pérez, Klara Reder, Martina Florke. 5th Workshop on Games and Decisions in Risk and Reliability (GDRR 2017), Royal Academy of Sciences, ICMAT, Madrid, Spain, 2017, pp. 1-1. | ||
| #24 | "Energy Prediction of Access Points in Wi-Fi Networks Using Time Series Modeling". David Rodriguez-Lozano, Juan A. Gomez-Pulido, and Arturo Duran-Dominguez. Proceedings of International work-conference on Time Series (ITISE 2017). Vol. II., O. Valenzuela, F. Rojas, H. Pomares, I. Rojas (eds). University of Granada, Granada, Spain, 2017, pp. 730-739. ISBN: 978-84-17293-01-7. | ||
| #25 | "Integrando Paralelismo en la Metaheurística Indicator-Based Multiobjective Bat Algorithm para Reconstrucción Filogenética". Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez. Actas del XII Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2017), Universitat Pompeu Fabra, Barcelona, Spain, 2017, pp. 824-833. ISBN: 978-84-697-4275-1. | ||
| #26 | "Inteligencia Colectiva de Abejas Multiobjetivo para Alinear Múltiples Secuencias Biológicas". Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez. Actas del XII Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2017), Universitat Pompeu Fabra, Barcelona, Spain, 2017, pp. 834-843. ISBN: 978-84-697-4275-1. | ||
| #27 | "La Autoevaluación y Evaluación por Pares en Distintas Asignaturas: ¿Cómo Afecta a la Mejora de la Docencia?". Miguel A. Vega-Rodríguez, José M. Granado-Criado, Álvaro Rubio-Largo, Sergio Santander-Jiménez. Actas de las II Jornadas de Innovación Docente en la Ingeniería (JIDI 2017), Universidad de Extremadura, Caceres, Spain, 2017, pp. 74-82. ISBN: 978-84-697-5020-9. | ||
| #28 | "NeuroK: A Collaborative e-Learning Platform based on Pedagogical Principles from Neuroscience". Fernando Calle-Alonso, Agustín Cuenca-Guevara, Daniel de la Mata Lara, Jesus M. Sanchez-Gomez, Miguel A. Vega-Rodríguez, Carlos J. Pérez Sánchez. Proceedings of the 9th International Conference on Computer Supported Education (CSEDU 2017), Volume 1, SCITEPRESS (Science and Technology Publications), Porto, Portugal, 2017, pp. 550-555. ISBN: 978-989-758-239-4. | ||
| #29 | "Optimización Multiobjetivo para el Estudio de Asociaciones Genéticas". Daniel Gallego-Sánchez, Álvaro Rubio-Largo, José M. Granado-Criado, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez. Actas del XII Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2017), Universitat Pompeu Fabra, Barcelona, Spain, 2017, pp. 844-853. ISBN: 978-84-697-4275-1. | ||
| #30 | "Optimización Multiobjetivo Paralela para la Detección de Epistasia de Múltiples Loci". Daniel Gallego-Sánchez, José M. Granado-Criado, Sergio Santander-Jiménez, Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez. Actas de las XXVIII Jornadas de Paralelismo (JP 2017), Universidad de Malaga, Malaga, Spain, 2017, pp. 83-88. ISBN: 978-84-697-4835-0. | ||
| #31 | "Social Network Analysis and Educational Data Mining for NeuroK e-Learning Platform". Alvaro Nevado-Maestre, Miguel A. Vega-Rodríguez, Carlos J. Pérez, Fernando Calle-Alonso, Jesus M. Sanchez-Gomez. Proceedings of the Innovative and Creative Education and Technology International Conference (ICETIC), University of Extremadura, Badajoz, Spain, 2017, pp. 23-27. ISBN: 978-84-16989-78-2. | ||
| #32 | "Using Word Clouds as an e-Learning Analytics Tool based on Data Visualization and Statistics". Jesus M. Sanchez-Gomez, Miguel A. Vega-Rodríguez, Carlos J. Pérez Sánchez, Fernando Calle-Alonso. Data Science, Statistics & Visualisation 2017 (DSSV 2017), IST Press, Lisbon, Portugal, 2017, pp. 40-41. ISBN: 978-972-99289-3-2. |
Total: 121 publications, JCR-indexed journal papers: 49 (22 Q1, 14 Q2, 10 Q3, 3 Q4)