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Rafael Bello 0001
Rafael Bello Pérez – Rafael Esteban Bello Pérez
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- affiliation: University "Marta Abreu" of Las Villas, Department of Computer Science, Santa Clara, Cuba
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2020 – today
- 2024
- [j53]Marilyn Bello, Gonzalo Nápoles
, Leonardo Concepción
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
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
Fuzzy prototype selection-based classifiers for imbalanced data. Case study. Pattern Recognit. Lett. 163: 183-190 (2022) - [c87]Jairo Rojas-Delgado
Hyper-parameter Optimization Using Continuation Algorithms. MIC 2022: 365-377 - [c86]Marilyn Bello, Gonzalo Nápoles
Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation. IJCNN 2022: 1-10 - [c85]Mabel Frias, Gonzalo Nápoles
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
Data quality measures based on granular computing for multi-label classification. Inf. Sci. 560: 51-67 (2021) - [j50]Leonardo Concepción
Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 29(5): 1252-1261 (2021) - [c84]Mabel Frias Dominguez, Gonzalo Nápoles
Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks. IJCNN 2021: 1-9 - [c83]Marilyn Bello, Yaumara Aguilera, Gonzalo Nápoles
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
Outliers Detection in Multi-label Datasets. MICAI (1) 2020: 65-75 - [c81]Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Koen Vanhoof
Feature and Label Association Based on Granulation Entropy for Deep Neural Networks. IJCRS 2020: 225-235 - [c80]Iliana Perez Pupo
Discovering Fails in Software Projects Planning Based on Linguistic Summaries. IJCRS 2020: 365-375 - [c79]Iliana Perez Pupo
Linguistic Summaries Generation with Hybridization Method Based on Rough and Fuzzy Sets. IJCRS 2020: 385-397 - [c78]Darian Horacio Grass-Boada
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
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
A review on methods and software for fuzzy cognitive maps. Artif. Intell. Rev. 52(3): 1707-1737 (2019) - [j47]Laidy De Armas Jacomino
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
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
Prototypes Generation from Multi-label Datasets Based on Granular Computing. CIARP 2019: 142-151 - [c73]Jairo Rojas-Delgado
Continuous Hyper-parameter Configuration for Particle Swarm Optimization via Auto-tuning. CIARP 2019: 458-468 - [c72]Jairo Rojas-Delgado
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
Synaptic Learning of Long-Term Cognitive Networks with Inputs. IJCNN 2019: 1-8 - [c69]Gonzalo Nápoles, Jose L. Salmeron
Fuzzy Cognitive Modeling: Theoretical and Practical Considerations. KES-IDT (1) 2019: 77-87 - [c68]Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof
Methods to Edit Multi-label Training Sets Using Rough Sets Theory. IJCRS 2019: 369-380 - [c67]Frank Balmaseda, Yaima Filiberto
A New Approach to Improve Learning in Fuzzy Cognitive Maps Using Reinforcement Learning. WEA 2019: 226-234 - [c66]Mabel Frias Dominguez
A Preliminary Study on Symbolic Fuzzy Cognitive Maps for Pattern Classification. WEA 2019: 285-295 - 2018
- [j45]Yaima Filiberto Cabrera
A New Method For Personnel Selection Based On Ranking Aggregation Using A Reinforcement Learning Approach. Computación y Sistemas 22(2) (2018) - [j44]Gonzalo Nápoles
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
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
A Solution for the Team Selection Problem Using ACO. ANTS Conference 2018: 325-332 - [c64]Ariam Rivas
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
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
Fuzzy Design of Nearest Prototype Classifier. MICAI (1) 2018: 391-400 - [c60]Dianne Arias
Methods for Generating Contexts Based on Similarity Relations to Multigranulation. WEA (1) 2018: 114-123 - 2017
- [j41]Laidy De Armas Jacomino
Revisión bibliográfica sobre funciones objetivo para el apilamiento de contenedores. Inteligencia Artif. 20(60): 28-50 (2017) - [j40]Yamisleydi Salgueiro
Multiobjective variable mesh optimization. Ann. Oper. Res. 258(2): 869-893 (2017) - [j39]Gonzalo Nápoles
Rough cognitive ensembles. Int. J. Approx. Reason. 85: 79-96 (2017) - [j38]José Alejandro Lugo García, Anié Bermudez Peña, Pedro Yobanis Piñero Pérez
Project Control and Computational Intelligence: Trends and Challenges. Int. J. Comput. Intell. Syst. 10(1): 320-335 (2017) - [j37]Gonzalo Nápoles
Weighted aggregation of partial rankings using Ant Colony Optimization. Neurocomputing 250: 109-120 (2017) - [j36]Gonzalo Nápoles
Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition. Neural Process. Lett. 45(2): 431-444 (2017) - [c59]Gonzalo Nápoles
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
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
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
Extending the Pareto-Dominance Based MOEAs Framework for Overlapping Community Detection. MICAI (1) 2017: 129-141 - [c55]Mabel Frias Dominguez
Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers. MICAI (1) 2017: 197-207 - [c54]Dianne Arias
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
Multiple Instance Learning - Foundations and Algorithms. Springer 2016, ISBN 978-3-319-47758-9, pp. 1-233 - [j35]Gonzalo Nápoles
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
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
On the convergence of sigmoid Fuzzy Cognitive Maps. Inf. Sci. 349-350: 154-171 (2016) - [j31]Gonzalo Nápoles
Rough Cognitive Networks. Knowl. Based Syst. 91: 46-61 (2016) - [c53]Gonzalo Nápoles
Partitive granular Cognitive Maps to graded multilabel classification. FUZZ-IEEE 2016: 1363-1370 - [c52]Yaima Filiberto
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
Impact of Weight Initialization on Multilayer Perceptron Using Fuzzy Similarity Quality Measure. WEA 2016: 115-122 - [p3]Gonzalo Nápoles
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
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
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
Clustering Search and Variable Mesh Algorithms for continuous optimization. Expert Syst. Appl. 42(2): 789-795 (2015) - [j27]Pavel Anselmo Álvarez
Editorial. Int. J. Comput. Intell. Syst. 8(sup2): 1-2 (2015) - [j26]Enislay Ramentol
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. IEEE Trans. Fuzzy Syst. 23(5): 1622-1637 (2015) - [c50]Gonzalo Nápoles
A computational tool for simulation and learning of Fuzzy Cognitive Maps. FUZZ-IEEE 2015: 1-8 - [c49]Gonzalo Nápoles
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
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
How to improve the convergence on sigmoid Fuzzy Cognitive Maps? Intell. Data Anal. 18(Supplement): S77-S88 (2014) - [j21]Rafael Bello
Knowledge Engineering for Rough Sets Based Decision-Making Models. Int. J. Intell. Syst. 29(9): 823-835 (2014) - [j20]Yeleny Zulueta
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
A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation. Knowl. Based Syst. 59: 173-181 (2014) - [c48]Gonzalo Nápoles
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
Learning similarity measures from data with fuzzy sets and particle swarms. CCE 2014: 1-6 - [c46]Carlos Alberto Donis Diaz, Rafael Bello
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
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
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
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
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
Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach. CIARP (1) 2013: 270-277 - [c42]Gonzalo Nápoles
Self-adaptive differential particle swarm using a ring topology for multimodal optimization. ISDA 2013: 35-40 - [c41]Ricardo Navarro
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
Rough sets in the Soft Computing environment. Inf. Sci. 212: 1-14 (2012) - [j13]Enislay Ramentol
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
Constricted Particle Swarm Optimization based Algorithm for Global Optimization. Polibits 46: 5-11 (2012) - [j11]Amilkar Puris
Variable mesh optimization for continuous optimization problems. Soft Comput. 16(3): 511-525 (2012) - [c40]Gonzalo Nápoles
Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems. ANTS 2012: 352-353 - [c39]Amilkar Puris
Optimising real parameters using the information of a mesh of solutions: VMO algorithm. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c38]Maikel León
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
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
Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning. MICAI (2) 2011: 82-94 - [c32]Yaima Filiberto Cabrera
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]Amilkar Puris
Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP. Expert Syst. Appl. 37(7): 5443-5453 (2010) - [j9]Maikel León
A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences. Polibits 42: 43-49 (2010) - [c31]Yaima Filiberto
A method to build similarity relations into extended Rough Set Theory. ISDA 2010: 1314-1319 - [c30]Maikel León
Fuzzy Cognitive Maps for Modeling Complex Systems. MICAI (1) 2010: 166-174 - [c29]Yaima Filiberto
Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures. NICSO 2010: 359-370 - [p1]Yaile Caballero
Knowledge Discovery Using Rough Set Theory. Advances in Machine Learning I 2010: 367-383
2000 – 2009
- 2009
- [c28]Yudel Gómez, Rafael Bello
Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem. IWANN (2) 2009: 458-461 - [c27]Rafael Falcón, Gwanggil Jeon
Mechanisms of Partial Supervision in Rough Clustering Approaches. RSKT 2009: 38-45 - 2008
- [j8]Yudel Gómez, Rafael Bello, Amilkar Puris, María M. García, Ann Nowé:
Two Step Swarm Intelligence to Solve the Feature Selection Problem. J. Univers. Comput. Sci. 14(15): 2582-2596 (2008) - [j7]María del Carmen Chávez, Gladys Casas, Jorge E. Moreira, Pavel Silveira, Iosvany Moya, Rafael Bello, Ricardo Grau Ábalo:
Predicción de Mutaciones en Secuencias de la Proteína Transcriptasa Inversa del VIH usando Nuevos Métodos para Aprendizaje Estr uctur al de Redes Bayesianas. Rev. Avances en Sistemas Informática 5(2): 77-86 (2008) - [c26]Rafael Bello
Feature Selection through Dynamic Mesh Optimization. CIARP 2008: 348-355 - [c25]Yudel Gómez, Rafael Bello
Speeding-Up ACO Implementation by Decreasing the Number of Heuristic Function Evaluations in Feature Selection Problem. IWPACBB 2008: 223-232 - 2007
- [j6]Beitmantt Cárdenas, Yaile Caballero, Rafael Bello:
La Teoría de los Conjuntos Aproximados y las técnicas de Boostrap para la Edición de Conjuntos de Entrenamiento. Su aplicación en el pronóstico metereológico. Rev. Avances en Sistemas Informática 4(3): 165-170 (2007) - [c24]Amilkar Puris, Rafael Bello, Yaima Trujillo, Ann Nowé, Yailen Martínez:
Two-Stage ACO to Solve the Job Shop Scheduling Problem. CIARP 2007: 447-456 - [c23]Yanet Rodríguez
Improving a Fuzzy ANN Model Using Correlation Coefficients. IFSA (2) 2007: 752-761 - [c22]Maikel León Espinosa
Concept Maps Combined with Case-Based Reasoning in Order to Elaborate Intelligent Teaching/Learning Systems. ISDA 2007: 205-210 - [c21]Yaile Caballero, Rafael Bello, Leticia Arco, María M. García:
Rough Set Theory Measures to Knowledge Generation. ISDA 2007: 401-406 - [c20]Yaile Caballero, Delia Alvarez, Rafael Bello, María M. García:
Feature Selection Algorithms Using Rough Set Theory. ISDA 2007: 407-411 - [c19]Rafael Bello, Yudel Gómez, María M. García, Ann Nowé:
Two-Step Particle Swarm Optimization to Solve the Feature Selection Problem. ISDA 2007: 691-696 - [c18]Yaile Caballero, Leticia Arco, Rafael Bello, Jorge Marx Gómez:
New Measures for Evaluating Decision Systems Using Rough Set Theory: The Application in Seasonal Weather Forecasting. ITEE 2007: 161-173 - [c17]Amilkar Puris, Rafael Bello, Yailen Martínez, Ann Nowé:
Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem. IWINAC (2) 2007: 307-316 - [c16]Rafael Falcón, Gwanggil Jeon, Rafael Bello, Jechang Jeong:
Learning Collaboration Links in a Collaborative Fuzzy Clustering Environment. MICAI 2007: 483-495 - [c15]Gwanggil Jeon, Rafael Falcón, Rafael Bello, Donghyung Kim, Jechang Jeong:
Application of Bayesian Network for Fuzzy Rule-Based Video Deinterlacing. PSIVT 2007: 867-878 - 2006
- [j5]Leticia Arco, Rafael Bello, Juan M. Mederos, Yoisy Pérez:
Document clustering via concatenated methods. Inteligencia Artif. 10(30): 43-53 (2006) - [c14]Rafael Bello, Amilkar Puris, Ann Nowé, Yailen Martínez, María M. García:
Two Step Ant Colony System to Solve the Feature Selection Problem. CIARP 2006: 588-596 - [c13]Yanet Rodríguez
Extending a Hybrid CBR-ANN Model by Modeling Predictive Attributes Using Fuzzy Sets. IBERAMIA-SBIA 2006: 238-248 - [c12]Carlos Morell, Rafael Bello, Ricardo Grau Ábalo, Yanet Rodríguez
Learning Similarity Metrics from Case Solution Similarity. IBERAMIA-SBIA 2006: 400-408 - [c11]Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García, Yaimara Pizano:
Improving the k-NN method: Rough Set in edit training set. IFIP PPAI 2006: 21-30 - [c10]Yaile Caballero
Two new feature selection algorithms with Rough Sets Theory. IFIP AI 2006: 209-216 - [c9]Yanet Rodríguez
A Connectionist Fuzzy Case-Based Reasoning Model. MICAI 2006: 176-185 - [c8]Yaile Caballero
A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality. SYNASC 2006: 133-140 - 2005
- [c7]Rafael Bello
A model based on ant colony system and rough set theory to feature selection. GECCO 2005: 275-276 - [c6]Yaile Caballero
Using rough sets to edit training set in k-NN method. ISDA 2005: 456-463 - 2004
- [c5]Carlos Morell, Rafael Bello, Ricardo Grau Ábalo:
Improving k-NN by Using Fuzzy Similarity Functions. IBERAMIA 2004: 708-716 - 2003
- [j4]Iliana Gutiérrez Martínez, Rafael Esteban Bello Pérez:
Making decision in case-based systems using probabilities and rough sets. Knowl. Based Syst. 16(4): 205-213 (2003) - 2002
- [c4]Iliana Gutiérrez Martínez, Rafael Esteban Bello Pérez:
A Decision Case-Based System, That Reasons in Uncertainty Conditions. CCIA 2002: 54-63 - [c3]Isis Bonet Cruz
Learning Optimization in a MLP Neural Network Applied to OCR. MICAI 2002: 292-300 - 2000
- [c2]María Matilde García Lorenzo, Yanet Rodríguez Sarabia, Rafael Esteban Bello Pérez:
Usando conjuntos borrosos para implementar un modelo para sistemas basados en casos interpretativos. IBERAMIA-SBIA 2000 Open Discussion Track 2000: 1-11 - [c1]Iliana Gutiérrez, Rafael Bello:
Determinación y manejo de la incertidumbre en los Sistemas Basados en Casos. IBERAMIA-SBIA 2000 Open Discussion Track 2000: 22-36
1990 – 1999
- 1997
- [j3]L. Ching, C. Pons, Rafael Bello:
Diseño de los Agentes de una Red de Cooperación para la Planificación del Cultivo del Plátano Fruta o Banano. Inteligencia Artif. 1(2): 75-79 (1997) - 1996
- [j2]María Matilde García Lorenzo, Rafael Esteban Bello Pérez:
A model and its different applications to case-based reasoning. Knowl. Based Syst. 9(7): 465-473 (1996) - 1994
- [j1]Rafael Bello
Knowledge representation form in mechanical engineering. Knowl. Based Syst. 7(3): 154-160 (1994)
Coauthor Index
Marilyn Bello-García
aka: Marilyn Bello
aka: Marilyn Bello
Rafael Falcon
aka: Rafael Falcón
aka: Rafael Falcón
Yaima Filiberto
aka: Yaima Filiberto Cabrera
aka: Yaima Filiberto Cabrera
Isel Grau
aka: Isel Grau García
aka: Isel Grau García
María Matilde García Lorenzo
aka: María M. García
aka: María M. García
Yailé Caballero Mota
aka: Yaile Caballero
aka: Yaile Caballero
Gonzalo Nápoles
aka: Gonzalo Nápoles Ruiz
aka: Gonzalo Nápoles Ruiz
Elpiniki I. Papageorgiou
aka: Elpiniki Papageorgiou
aka: Elpiniki Papageorgiou
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from .
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last updated on 2024-08-05 21:15 CEST by the dblp team
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