default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRafael Bello 0001
Rafael Bello Pérez – Rafael Esteban Bello Pérez
Person information
- affiliation: University "Marta Abreu" of Las Villas, Department of Computer Science, Santa Clara, Cuba
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j53]Marilyn Bello, Gonzalo Nápoles
, Leonardo Concepción, Rafael Bello, Pablo Mesejo, Oscar Cordón:
REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image. Inf. Sci. 654: 119851 (2024)- 2023
- [c88]Gonzalo Nápoles, Leonardo Concepción, Büsra Özgöde Yigin, Görkem Saygili, Koen Vanhoof, Rafael Bello:
Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering. IWAIPR 2023: 131-142 - 2022
- [j52]Yanela Rodríguez Alvarez, María Matilde García Lorenzo, Yailé Caballero Mota, Yaima Filiberto Cabrera, Isabel M. García Hilarión, Daniela Machado Montes de Oca, Rafael Bello Pérez:
Fuzzy prototype selection-based classifiers for imbalanced data. Case study. Pattern Recognit. Lett. 163: 183-190 (2022) - [c87]Jairo Rojas-Delgado, J. A. Jiménez, Rafael Bello, José Antonio Lozano:
Hyper-parameter Optimization Using Continuation Algorithms. MIC 2022: 365-377 - [c86]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, María M. García, Rafael Bello:
Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation. IJCNN 2022: 1-10 - [c85]Mabel Frias, Gonzalo Nápoles, Yaima Filiberto, Rafael Bello, Koen Vanhoof:
Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks. MICAI (1) 2022: 3-14 - [p4]Rafael Bello, María M. García, Yaile Caballero, Alejandro Rosete, Yanela Rodríguez:
Applications of Computational Intelligence in the Studies of Covid-19. Computational Intelligence Methodologies Applied to Sustainable Development Goals 2022: 63-80 - 2021
- [j51]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Data quality measures based on granular computing for multi-label classification. Inf. Sci. 560: 51-67 (2021) - [j50]Leonardo Concepción, Gonzalo Nápoles, Rafael Falcon, Koen Vanhoof, Rafael Bello:
Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 29(5): 1252-1261 (2021) - [c84]Mabel Frias Dominguez, Gonzalo Nápoles, Koen Vanhoof, Yaima Filiberto, Rafael Bello:
Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks. IJCNN 2021: 1-9 - [c83]Marilyn Bello, Yaumara Aguilera, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof:
Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections. IWAIPR 2021: 3-12 - 2020
- [j49]Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Rafael Bello, Koen Vanhoof:
Deep neural network to extract high-level features and labels in multi-label classification problems. Neurocomputing 413: 259-270 (2020) - [c82]Marilyn Bello, Gonzalo Nápoles, Rafael Morera, Koen Vanhoof, Rafael Bello:
Outliers Detection in Multi-label Datasets. MICAI (1) 2020: 65-75 - [c81]Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Koen Vanhoof, Rafael Bello:
Feature and Label Association Based on Granulation Entropy for Deep Neural Networks. IJCRS 2020: 225-235 - [c80]Iliana Perez Pupo, Pedro Yobanis Piñero Pérez, Roberto García Vacacela, Rafael Bello, Luis Alvarado Acuña:
Discovering Fails in Software Projects Planning Based on Linguistic Summaries. IJCRS 2020: 365-375 - [c79]Iliana Perez Pupo, Pedro Yobanis Piñero Pérez, Rafael Bello, Luis Alvarado Acuña, Roberto García Vacacela:
Linguistic Summaries Generation with Hybridization Method Based on Rough and Fuzzy Sets. IJCRS 2020: 385-397 - [c78]Darian Horacio Grass-Boada, Airel Pérez Suárez, Leticia Arco, Rafael Bello, Alejandro Rosete:
Overlapping Community Detection Using Multi-objective Approach and Rough Clustering. IJCRS 2020: 416-431 - [c77]Leonardo Concepción, Gonzalo Nápoles, Rafael Bello, Koen Vanhoof:
On the Behavior of Fuzzy Grey Cognitive Maps. IJCRS 2020: 462-476 - [c76]Lenniet Coello, Yaima Filiberto, Rafael Bello, Mabel Frias, Rafael Falcon:
IRBASIR-B: Rule Induction from Similarity Relations, a Bayesian Approach. WEA 2020: 24-34 - [e3]Rafael Bello, Duoqian Miao, Rafael Falcon, Michinori Nakata, Alejandro Rosete, Davide Ciucci:
Rough Sets - International Joint Conference, IJCRS 2020, Havana, Cuba, June 29 - July 3, 2020, Proceedings. Lecture Notes in Computer Science 12179, Springer 2020, ISBN 978-3-030-52704-4 [contents]
2010 – 2019
- 2019
- [j48]Gerardo Felix, Gonzalo Nápoles, Rafael Falcon, Wojciech Froelich, Koen Vanhoof, Rafael Bello:
A review on methods and software for fuzzy cognitive maps. Artif. Intell. Rev. 52(3): 1707-1737 (2019) - [j47]Laidy De Armas Jacomino, Danilo Valdes, Carlos Morell, Rafael Bello:
Solutions To Storage Spaces Allocation Problem for Import Containers by Exact and Heuristic Methods. Computación y Sistemas 23(1): 197 (2019) - [j46]Jairo Rojas-Delgado, Rafael A. Trujillo-Rasúa, Rafael Bello:
A continuation approach for training Artificial Neural Networks with meta-heuristics. Pattern Recognit. Lett. 125: 373-380 (2019) - [c75]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Reduction Methods for Multi-Label Datasets Based on Granular Computing. BNAIC/BENELEARN 2019 - [c74]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Prototypes Generation from Multi-label Datasets Based on Granular Computing. CIARP 2019: 142-151 - [c73]Jairo Rojas-Delgado, Vladimir Milián Núñez, Rafael A. Trujillo-Rasúa, Rafael Bello:
Continuous Hyper-parameter Configuration for Particle Swarm Optimization via Auto-tuning. CIARP 2019: 458-468 - [c72]Jairo Rojas-Delgado, Rafael A. Trujillo-Rasúa, Rafael Bello, Gerdys E. Jiménez Moya:
Video Popularity Forecasting to Improve Cache Miss Rate in Content Delivery Networks. CIARP 2019: 769-779 - [c71]Iliana Perez Pupo, Osvaldo Santos Acosta, Rafael Bello Pérez, Pedro Yobanis Piñero Pérez:
Algoritmos para la sumarización lingüística de datos, ayuda a la toma de decisiones en organizaciones orientadas a proyectos. CIbSE 2019: 633-640 - [c70]Richar Sosa, Alejandro Alfonso, Gonzalo Nápoles, Rafael Bello, Koen Vanhoof, Ann Nowé:
Synaptic Learning of Long-Term Cognitive Networks with Inputs. IJCNN 2019: 1-8 - [c69]Gonzalo Nápoles, Jose L. Salmeron, Wojciech Froelich, Rafael Falcon, Maikel León Espinosa, Frank Vanhoenshoven, Rafael Bello, Koen Vanhoof:
Fuzzy Cognitive Modeling: Theoretical and Practical Considerations. KES-IDT (1) 2019: 77-87 - [c68]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello:
Methods to Edit Multi-label Training Sets Using Rough Sets Theory. IJCRS 2019: 369-380 - [c67]Frank Balmaseda, Yaima Filiberto, Mabel Frias Dominguez, Rafael Bello:
A New Approach to Improve Learning in Fuzzy Cognitive Maps Using Reinforcement Learning. WEA 2019: 226-234 - [c66]Mabel Frias Dominguez, Gonzalo Nápoles, Yaima Filiberto, Rafael Bello, Koen Vanhoof:
A Preliminary Study on Symbolic Fuzzy Cognitive Maps for Pattern Classification. WEA 2019: 285-295 - 2018
- [j45]Yaima Filiberto Cabrera, Rafael Bello Pérez, Ann Nowé:
A New Method For Personnel Selection Based On Ranking Aggregation Using A Reinforcement Learning Approach. Computación y Sistemas 22(2) (2018) - [j44]Gonzalo Nápoles, Carlos Mosquera, Rafael Falcon, Isel Grau, Rafael Bello, Koen Vanhoof:
Fuzzy-Rough Cognitive Networks. Neural Networks 97: 19-27 (2018) - [j43]Dianne Arias, Yaima Filiberto, Rafael Bello:
Method of Generating Contexts Based on Self-adaptive Differential Particle Swarm Using Local Topology for Multimodal Optimization in the Case of Multigranulation. Res. Comput. Sci. 147(10): 19-28 (2018) - [j42]Gonzalo Nápoles, Leonardo Concepción, Rafael Falcon, Rafael Bello, Koen Vanhoof:
On the Accuracy-Convergence Tradeoff in Sigmoid Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 26(4): 2479-2484 (2018) - [c65]Lázaro Lugo, Marilyn Bello, Ann Nowé, Rafael Bello:
A Solution for the Team Selection Problem Using ACO. ANTS Conference 2018: 325-332 - [c64]Ariam Rivas, Ricardo Navarro, Chyon Hae Kim, Rafael Bello:
Multi-granulation Strategy via Feature Subset Extraction by Using a Genetic Algorithm and a Rough Sets-Based Measure of Dependence. CIARP 2018: 203-211 - [c63]Gerardo Felix, Gonzalo Nápoles, Rafael Falcon, Rafael Bello, Koen Vanhoof:
Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results. CIVEMSA 2018: 1-6 - [c62]Gabriela Pérez, Marilyn Bello-García, Gonzalo Nápoles, María Matilde García Lorenzo, Rafael Bello, Koen Vanhoof:
Expanding MLkNN Using Extended Rough Set Theory. IWAIPR 2018: 247-254 - [c61]Yanela Rodríguez Alvarez, Rafael Bello Pérez, Yailé Caballero Mota, Yaima Filiberto Cabrera, Yumilka B. Fernandez Hernandez, Mabel Frias Dominguez:
Fuzzy Design of Nearest Prototype Classifier. MICAI (1) 2018: 391-400 - [c60]Dianne Arias, Yaima Filiberto, Rafael Bello:
Methods for Generating Contexts Based on Similarity Relations to Multigranulation. WEA (1) 2018: 114-123 - 2017
- [j41]Laidy De Armas Jacomino, Rafael Bello Pérez, Carlos Morell Pérez:
Revisión bibliográfica sobre funciones objetivo para el apilamiento de contenedores. Inteligencia Artif. 20(60): 28-50 (2017) - [j40]Yamisleydi Salgueiro, Jorge L. Toro, Rafael Bello, Rafael Falcon:
Multiobjective variable mesh optimization. Ann. Oper. Res. 258(2): 869-893 (2017) - [j39]Gonzalo Nápoles, Rafael Falcon, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Rough cognitive ensembles. Int. J. Approx. Reason. 85: 79-96 (2017) - [j38]José Alejandro Lugo García, Anié Bermudez Peña, Pedro Yobanis Piñero Pérez, Rafael Bello Pérez:
Project Control and Computational Intelligence: Trends and Challenges. Int. J. Comput. Intell. Syst. 10(1): 320-335 (2017) - [j37]Gonzalo Nápoles, Rafael Falcon, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Weighted aggregation of partial rankings using Ant Colony Optimization. Neurocomputing 250: 109-120 (2017) - [j36]Gonzalo Nápoles, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition. Neural Process. Lett. 45(2): 431-444 (2017) - [c59]Gonzalo Nápoles, Maikel León Espinosa, Isel Grau, Koen Vanhoof, Rafael Bello:
Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges. Soft Computing Based Optimization and Decision Models 2017: 83-98 - [c58]Darian H. Grass-Boada, Airel Pérez Suárez, Andrés Gago Alonso, Rafael Bello, Alejandro Rosete:
Multi-objective Overlapping Community Detection by Global and Local Approaches. CIARP 2017: 272-280 - [c57]Yanela Rodríguez Alvarez, Yailé Caballero Mota, Rafael Bello Pérez, Yaima Filiberto Cabrera, Yumilka B. Fernandez Hernandez, Mabel Frias Dominguez:
An Approach to Solve Classification Problems on Domains with Hubness Using Rough Sets and Nearest Prototype. MICAI (Special Session) 2017: 34-38 - [c56]Darian Horacio Grass-Boada, Airel Pérez Suárez, Rafael Bello, Alejandro Rosete:
Extending the Pareto-Dominance Based MOEAs Framework for Overlapping Community Detection. MICAI (1) 2017: 129-141 - [c55]Mabel Frias Dominguez, Yaima Filiberto, Gonzalo Nápoles, Yadira García-Socarrás, Koen Vanhoof, Rafael Bello:
Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers. MICAI (1) 2017: 197-207 - [c54]Dianne Arias, Yaima Filiberto, Rafael Bello, Ileana Cadena, Wilfredo Martinez:
Classification by Nearest Neighbor and Multilayer Perceptron a New Approach Based on Fuzzy Similarity Quality Measure: A Case Study. WEA 2017: 388-397 - 2016
- [b1]Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez Tarragó, Sarah Vluymans:
Multiple Instance Learning - Foundations and Algorithms. Springer 2016, ISBN 978-3-319-47758-9, pp. 1-233 - [j35]Gonzalo Nápoles, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium. Appl. Soft Comput. 42: 276-289 (2016) - [j34]Marilyn Bello-García, Rafael Bello, María Matilde García Lorenzo, Ann Nowé:
Personnel Selection in a Competitive Environment. Computación y Sistemas 20(2) (2016) - [j33]Enislay Ramentol, I. Gondres, S. Lajes, Rafael Bello, Yaile Caballero, Chris Cornelis, Francisco Herrera:
Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm. Eng. Appl. Artif. Intell. 48: 134-139 (2016) - [j32]Gonzalo Nápoles, Elpiniki I. Papageorgiou, Rafael Bello, Koen Vanhoof:
On the convergence of sigmoid Fuzzy Cognitive Maps. Inf. Sci. 349-350: 154-171 (2016) - [j31]Gonzalo Nápoles, Isel Grau, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Rough Cognitive Networks. Knowl. Based Syst. 91: 46-61 (2016) - [c53]Gonzalo Nápoles, Rafael Falcon, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Partitive granular Cognitive Maps to graded multilabel classification. FUZZ-IEEE 2016: 1363-1370 - [c52]Yaima Filiberto, Mabel Frias Dominguez, Rafael Larrua, Rafael Bello:
Induction of Rules Based on Similarity Relations for Imbalance Datasets. A Case of Study. WEA 2016: 65-73 - [c51]Lenniet Coello Blanco, Yumilka Fernández, Yaima Filiberto, Rafael Bello:
Impact of Weight Initialization on Multilayer Perceptron Using Fuzzy Similarity Quality Measure. WEA 2016: 115-122 - [p3]Gonzalo Nápoles, Isel Grau, Rafael Falcon, Rafael Bello, Koen Vanhoof:
A Granular Intrusion Detection System Using Rough Cognitive Networks. Recent Advances in Computational Intelligence in Defense and Security 2016: 169-191 - 2015
- [j30]Yumilka B. Fernandez Hernandez, Rafael Bello, Yaima Filiberto, Mabel Frias Dominguez, Lenniet Coello Blanco, Yailé Caballero Mota:
An Approach for Prototype Generation based on Similarity Relations for Problems of Classification. Computación y Sistemas 19(1) (2015) - [j29]Lenniet Coello Blanco, Yumilka B. Fernandez Hernandez, Yaima Filiberto, Rafael Bello:
Improving the Multilayer Perceptron Learning by using a Method to Calculate the Initial Weights with the Quality of Similarity Measure based on Fuzzy Sets and Particle Swarms. Computación y Sistemas 19(2) (2015) - [j28]Yasel J. Costa Salas, Carlos A. Martínez Pérez, Rafael Bello, Alexandre C. M. Oliveira, Antonio Augusto Chaves, Luiz Antonio Nogueira Lorena:
Clustering Search and Variable Mesh Algorithms for continuous optimization. Expert Syst. Appl. 42(2): 789-795 (2015) - [j27]Pavel Anselmo Álvarez, Rafael Bello Pérez:
Editorial. Int. J. Comput. Intell. Syst. 8(sup2): 1-2 (2015) - [j26]Enislay Ramentol, Sarah Vluymans, Nele Verbiest, Yaile Caballero, Rafael Bello, Chris Cornelis, Francisco Herrera:
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. IEEE Trans. Fuzzy Syst. 23(5): 1622-1637 (2015) - [c50]Gonzalo Nápoles, Isel Grau, Rafael Bello, Maikel León, Koen Vanhoof, Elpiniki Papageorgiou:
A computational tool for simulation and learning of Fuzzy Cognitive Maps. FUZZ-IEEE 2015: 1-8 - [c49]Gonzalo Nápoles, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Aggregation of Partial Rankings - An Approach Based on the Kemeny Ranking Problem. IWANN (2) 2015: 343-355 - 2014
- [j25]Gonzalo Nápoles Ruiz, Isel Grau García, Marilyn Bello-García, Rafael Bello Pérez:
Hacia la diversidad de la bandada: procedimiento RSVN usando una distribución de Lévy. Computación y Sistemas 18(1) (2014) - [j24]Gonzalo Nápoles, Isel Grau, Rafael Bello, Ricardo Grau:
Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance. Expert Syst. Appl. 41(3): 821-830 (2014) - [j23]Carlos Alberto Donis Diaz, A. G. Muro, Rafael Bello Pérez, Eduardo Valencia Morales:
A hybrid model of genetic algorithm with local search to discover linguistic data summaries from creep data. Expert Syst. Appl. 41(4): 2035-2042 (2014) - [j22]Gonzalo Nápoles, Rafael Bello, Koen Vanhoof:
How to improve the convergence on sigmoid Fuzzy Cognitive Maps? Intell. Data Anal. 18(Supplement): S77-S88 (2014) - [j21]Rafael Bello, José Luis Verdegay Galdeano:
Knowledge Engineering for Rough Sets Based Decision-Making Models. Int. J. Intell. Syst. 29(9): 823-835 (2014) - [j20]Yeleny Zulueta, Juan Martínez-Moreno, Rafael Bello Pérez, Luis Martínez-López:
A discrete Time variable Index for Supporting Dynamic Multi-criteria Decision Making. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(1): 1-22 (2014) - [j19]Dánel Sánchez Tarragó, Chris Cornelis, Rafael Bello, Francisco Herrera:
A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation. Knowl. Based Syst. 59: 173-181 (2014) - [c48]Gonzalo Nápoles, Isel Grau, Ricardo Pérez-García, Rafael Bello:
Determining Positions Associated with Drug Resistance on HIV-1 Proteins: A Computational Approach. EvoApplications 2014: 902-914 - [c47]Yumilka B. Fernandez Hernandez, Lenniet Coello Blanco, Yaima Filiberto, Rafael Bello, Rafael Falcón:
Learning similarity measures from data with fuzzy sets and particle swarms. CCE 2014: 1-6 - [c46]Carlos Alberto Donis Diaz, Rafael Bello, Janusz Kacprzyk:
Using Ant Colony Optimization and Genetic Algorithms for the Linguistic Summarization of Creep Data. IEEE Conf. on Intelligent Systems (1) 2014: 81-92 - [c45]Gonzalo Nápoles, Isel Grau, Koen Vanhoof, Rafael Bello:
Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making. RSEISP 2014: 169-178 - [p2]Rafael Bello Pérez, María M. García:
Probabilistic Approaches to the Rough Set Theory and Their Applications in Decision-Making. Soft Computing for Business Intelligence 2014: 67-80 - [e2]Chris Cornelis, Marzena Kryszkiewicz, Dominik Slezak, Ernestina Menasalvas Ruiz, Rafael Bello, Lin Shang:
Rough Sets and Current Trends in Computing - 9th International Conference, RSCTC 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings. Lecture Notes in Computer Science 8536, Springer 2014, ISBN 978-3-319-08643-9 [contents] - [e1]Rafael Espín, Rafael Bello Pérez, Angel Cobo, Jorge Marx Gómez, Ariel Racet Valdés:
Soft Computing for Business Intelligence. Studies in Computational Intelligence 537, Springer 2014, ISBN 978-3-642-53736-3 [contents] - 2013
- [j18]Maikel León, Gonzalo Nápoles, Rafael Bello, Lusine Mkrtchyan, Benoît Depaire, Koen Vanhoof:
Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps. Int. J. Comput. Intell. Syst. 6(6): 1012-1039 (2013) - [j17]Ricardo Navarro, Amilkar Puris, Rafael Bello:
The performance of some meta-heuristics in continuous problems studied according to the location of the optima in the search space. Rev. Avances en Sistemas Informática 10(1): 60-66 (2013) - [c44]Daniel Molina, Amilkar Puris, Rafael Bello, Francisco Herrera:
Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization. IEEE Congress on Evolutionary Computation 2013: 87-94 - [c43]Gonzalo Nápoles, Rafael Bello, Koen Vanhoof:
Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach. CIARP (1) 2013: 270-277 - [c42]Gonzalo Nápoles, Isel Grau, Rafael Bello, Rafael Falcon, Ajith Abraham:
Self-adaptive differential particle swarm using a ring topology for multimodal optimization. ISDA 2013: 35-40 - [c41]Ricardo Navarro, Rafael Falcon, Rafael Bello, Ajith Abraham:
Niche-clearing-based Variable Mesh Optimization for multimodal problems. NaBIC 2013: 161-168 - 2012
- [j16]Rafael Falcón, Marcio Almeida, Amiya Nayak, Rafael Bello:
System-Level Fault Diagnosis with Dynamic Mesh Optimization. Computación y Sistemas 16(2) (2012) - [j15]José Ruiz-Shulcloper, Rafael Bello:
Editorial. Computación y Sistemas 16(2) (2012) - [j14]Rafael Bello, José L. Verdegay:
Rough sets in the Soft Computing environment. Inf. Sci. 212: 1-14 (2012) - [j13]Enislay Ramentol, Yaile Caballero, Rafael Bello, Francisco Herrera:
SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory. Knowl. Inf. Syst. 33(2): 245-265 (2012) - [j12]Gonzalo Nápoles, Isel Grau, Rafael Bello:
Constricted Particle Swarm Optimization based Algorithm for Global Optimization. Polibits 46: 5-11 (2012) - [j11]Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera:
Variable mesh optimization for continuous optimization problems. Soft Comput. 16(3): 511-525 (2012) - [c40]Gonzalo Nápoles, Isel Grau, Rafael Bello:
Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems. ANTS 2012: 352-353 - [c39]Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera:
Optimising real parameters using the information of a mesh of solutions: VMO algorithm. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c38]Maikel León, Lusine Mkrtchyan, Benoît Depaire, Da Ruan, Rafael Bello, Koen Vanhoof:
Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling. ICANN (1) 2012: 718-725 - [c37]Marilyn Bello-García, María Matilde García Lorenzo, Rafael Esteban Bello Pérez:
A Method for Building Prototypes in the Nearest Prototype Approach Based on Similarity Relations for Problems of Function Approximation. MICAI (1) 2012: 39-50 - 2011
- [c36]Carlos Alberto Donis Diaz, Rafael Bello Pérez, Eduardo Valencia Morales:
Using Linguistic Data Summarization in the study of creep data for the design of new steels. ISDA 2011: 160-165 - [c35]Maikel León, Gonzalo Nápoles, Ciro Rodriguez, María M. García, Rafael Bello, Koen Vanhoof:
A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System. IWINAC (2) 2011: 243-256 - [c34]Yailen Martínez, Ann Nowé, Juliett Suárez, Rafael Bello:
A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem. LION 2011: 253-262 - [c33]Maikel León, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof:
Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning. MICAI (2) 2011: 82-94 - [c32]Yaima Filiberto Cabrera, Rafael Bello Pérez, Yailé Caballero Mota, Gonzalo Ramos-Jiménez:
Improving the MLP Learning by Using a Method to Calculate the Initial Weights of the Network Based on the Quality of Similarity Measure. MICAI (2) 2011: 351-362 - 2010
- [j10]