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Viewing Publication 1 - 34 from 34

2022

Applications of Computational Intelligence in the Studies of Covid-19Rafael Bello 0001, María M. García, Yaile Caballero, Alejandro Rosete, Yanela Rodríguez. In José L. Verdegay, Julio Brito, Carlos Cruz, editors, Computational Intelligence Methodologies Applied to Sustainable Development Goals. Volume 1036 of Studies in Computational Intelligence, pages 63-80, Springer, 2022. [doi]

Explanation of Multi-Label Neural Networks with Layer-Wise Relevance PropagationMarilyn Bello, Gonzalo Nápoles, Koen Vanhoof, María M. García, Rafael Bello 0001. ijcnn 2022: 1-10 [doi]

2021

Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated CoinfectionsMarilyn Bello, Yaumara Aguilera, Gonzalo Nápoles, María M. García, Rafael Bello 0001, Koen Vanhoof. iwaipr 2021: 3-12 [doi]

Data Drive Fuzzy Cognitive Map for Classification ProblemsJairo A. Lefebre-Lobaina, María M. García. iwaipr 2021: 249-259 [doi]

2014

Probabilistic Approaches to the Rough Set Theory and Their Applications in Decision-MakingRafael Bello Pérez, María M. García. In Rafael Espín, Rafael Bello Pérez, Angel Cobo, Jorge Marx Gómez, Ariel Racet Valdés, editors, Soft Computing for Business Intelligence. Volume 537 of Studies in Computational Intelligence, pages 67-80, Springer, 2014. [doi]

2013

Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive MapsIsel Grau, Gonzalo Nápoles, María M. García. ciarp 2013: 190-197 [doi]

Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variableIsel Grau, Gonzalo Nápoles, Isis Bonet, María M. García. cys, 17(1), 2013. [doi]

2011

2010

Knowledge Discovery Using Rough Set TheoryYaile Caballero, Rafael Bello, Leticia Arco, María M. García, Enislay Ramentol. In Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk, editors, Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski. Volume 262 of Studies in Computational Intelligence, pages 367-383, Springer, 2010. [doi]

Fuzzy Cognitive Maps for Modeling Complex SystemsMaikel León, Ciro Rodriguez, María M. García, Rafael Bello, Koen Vanhoof. micai 2010: 166-174 [doi]

A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior SciencesMaikel León, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof. polibits, 42:43-49, 2010. [doi]

2008

Comparing Distance Measures with Visual MethodsIsis Bonet, Abdel Rodríguez, Ricardo Grau Ábalo, María M. García, Yvan Saeys, Ann Nowé. micai 2008: 90-99 [doi]

Two Step Swarm Intelligence to Solve the Feature Selection ProblemYudel Gómez, Rafael Bello, Amilkar Puris, María M. García, Ann Nowé. jucs, 14(15):2582-2596, 2008.

Combining Concept Maps and Petri Nets to Generate Intelligent Tutoring Systems: A Possible ApproachMaikel León, Isis Bonet, María M. García, Zoila Zenaida García. micai 2008: 797-805 [doi]

Prediction of Pediatric Risk Using a Hybrid Model Based on Soft Computing TechniquesYanet Rodríguez, Mabel González, Adonis Aguirre, Mayelis Espinosa, Ricardo Grau Ábalo, Joaquín O. García, Luis E. Rovira, María M. García. micai 2008: 472-481 [doi]

A Correlation-Based Distance Function for Nearest Neighbor ClassificationYanet Rodríguez, Bernard De Baets, María M. García, Carlos Morell, Ricardo Grau Ábalo. ciarp 2008: 284-291 [doi]

2007

2006

Two Step Ant Colony System to Solve the Feature Selection ProblemRafael Bello, Amilkar Puris, Ann Nowé, Yailen Martínez, María M. García. ciarp 2006: 588-596 [doi]

Feature Extraction Using Clustering of ProteinIsis Bonet, Yvan Saeys, Ricardo Grau Ábalo, María M. García, Robersy Sanchez, Yves Van de Peer. ciarp 2006: 614-623 [doi]

Improving the k-NN method: Rough Set in edit training setYaile Caballero, Rafael Bello, Delia Alvarez, María M. García, Yaimara Pizano. clor 2006: 21-30 [doi]

Two new feature selection algorithms with Rough Sets TheoryYaile Caballero, Rafael Bello, Delia Alvarez, María M. García. ifip12 2006: 209-216 [doi]

A New Measure Based in the Rough Set Theory to Estimate the Training Set QualityYaile Caballero, Rafael Bello, Alberto Taboada, Ann Nowé, María M. García, Gladys Casas. synasc 2006: 133-140 [doi]

Extending a Hybrid CBR-ANN Model by Modeling Predictive Attributes Using Fuzzy SetsYanet Rodríguez, María M. García, Bernard De Baets, Rafael Bello, Carlos Morell. sbia 2006: 238-248 [doi]

A Connectionist Fuzzy Case-Based Reasoning ModelYanet Rodríguez, María M. García, Bernard De Baets, Carlos Morell, Rafael Bello. micai 2006: 176-185 [doi]

2005

Using rough sets to edit training set in k-NN methodYaile Caballero, Simone Joseph, Yuniesky Lezcano, Rafael Bello, María M. García, Yaimara Pizano. isda 2005: 456-463 [doi]

2003

Algorítmos genéticos en la construcción de funciones de pertenencia borrosasPedro Y. Piñero, Leticia Arco, María M. García, Liesner Acevedo. aepia, 18:25-36, 2003. [doi]

Two New Metrics for Feature Selection in Pattern RecognitionPedro Y. Piñero, Leticia Arco, María M. García, Yaile Caballero, Raykenler Yzquierdo, Alfredo Morales. ciarp 2003: 488-497 [doi]

1994

Knowledge representation form in mechanical engineeringRafael Bello, D. Gálvez, G. Sánchez, María M. García, G. Benavides. kbs, 7(3):154-160, 1994. [doi]

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1994

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