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ORCIDMaría Matilde García Lorenzo
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2020 – today
- 2022
[j19]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)- [c41]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 - [p3]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
- [j18]Alejandro Morales Hernández, María Matilde García Lorenzo, Yailen Martínez Jiménez, Leidys Cabrera Hernández, Gladys María Casas Cardoso:
New Diversity Measures Based on the Coverage and Similarity of the Classification. Computación y Sistemas 25(3) (2021) - [c40]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 - [c39]Jairo A. Lefebre-Lobaina, María M. García:
Data Drive Fuzzy Cognitive Map for Classification Problems. IWAIPR 2021: 249-259 - 2020
- [j17]Alejandro Ramón Hernández, Alfredo Simón-Cuevas, María Matilde García Lorenzo, Leticia Arco, Jesús Serrano-Guerrero:
Towards Context-Aware Opinion Summarization for Monitoring Social Impact of News. Inf. 11(11): 535 (2020) - [c38]Isel Grau, Dipankar Sengupta, María Matilde García Lorenzo, Ann Nowé:
An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. FUZZ-IEEE 2020: 1-8 - [i1]Isel Grau, Dipankar Sengupta, María Matilde García Lorenzo, Ann Nowé:
An interpretable semi-supervised classifier using two different strategies for amended self-labeling. CoRR abs/2001.09502 (2020)
2010 – 2019
- 2019
- [j16]Nayi Sánchez Fleitas, Raúl Comas Rodríguez, María Matilde García Lorenzo, Amanda Riverol Quesada:
Intelligent Case-based System for Decision-making in the Electricity Sector. Computación y Sistemas 23(4) (2019) - [c37]Alejandro Ramón Hernández, María Matilde García Lorenzo, Alfredo Simón-Cuevas, Leticia Arco, Jesús Serrano-Guerrero:
A semantic approach for topic-based polarity detection: a case study in the Spanish language. ITQM 2019: 849-856 - 2018
- [j15]Lisvandy Amador Penichet, Damny Magdaleno Guevara, María Matilde García Lorenzo:
New Similarity Function for Scientific Articles Clustering Based on the Bibliographic References. Computación y Sistemas 22(1) (2018) - [j14]Nayi Sánchez Fleitas, María Matilde García Lorenzo, Raúl Comas Rodríguez, Amanda Riverol Quesada:
Intelligent Geographic Information System for Decision Making in the Electricity Sector. Res. Comput. Sci. 147(4): 87-95 (2018) - [c36]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 - 2017
- [c35]Ivett E. Fuentes Herrera, Beatriz Valdés Pérez, María Matilde García Lorenzo, Leticia Arco García, Mabel M. Herrera González, Rolando de la C. Fuentes Morales:
A Case-Based Reasoning Framework for Clinical Decision Making. MICAI (1) 2017: 290-301 - 2016
- [j13]Marilyn Bello-García, Rafael Bello, María Matilde García Lorenzo, Ann Nowé:
Personnel Selection in a Competitive Environment. Computación y Sistemas 20(2) (2016) - [c34]Isel Grau, Dipankar Sengupta, Dewan Md. Farid, Bernard Manderick, Ann Nowé, María Matilde García Lorenzo, Dorien Daneels, Maryse Bonduelle, Didier Croes, Sonia Van Dooren:
Genomic Variant Classifier Tool. IntelliSys (1) 2016: 453-456 - 2015
- [j12]Damny Magdaleno Guevara, Ivett E. Fuentes Herrera, María Matilde García Lorenzo:
Clustering XML Documents using Structure and Content Based in a Proposal Similarity Function (OverallSimSUX). Computación y Sistemas 19(1) (2015) - 2014
- [j11]Reinier Millo Sánchez, Deborah Galpert Cañizares, Gladys Casas Cardoso, Ricardo Grau Ábalo, Leticia Arco García, María Matilde García Lorenzo, Miguel Ángel Fernández Marin:
Agregación de medidas de similitud para la detección de ortólogos: validación con medidas basadas en la teoría de conjuntos aproximados. Computación y Sistemas 18(1) (2014) - [j10]Yenny Villuendas-Rey, María Matilde García Lorenzo:
Selección de atributos y casos para el clasificador NN a través de conjuntos aproximados y algoritmos inspirados en la naturaleza. Computación y Sistemas 18(2) (2014) - [c33]Deborah Galpert Cañizares, Reinier Millo Sánchez, María Matilde García Lorenzo, Gladys Casas Cardoso, Ricardo Grau Ábalo, Leticia Arco García:
Rough Sets in Ortholog Gene Detection - Selection of Feature Subsets and Case Reduction Considering Imbalance. RSEISP 2014: 161-168 - [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 - 2013
- [j9]Isel Grau, Gonzalo Nápoles, Isis Bonet, María M. García:
Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variable. Computación y Sistemas 17(1) (2013) - [j8]Yenny Villuendas-Rey, Carmen F. Rey-Benguría, Yailé Caballero Mota, María Matilde García Lorenzo:
Improving the family orientation process in Cuban Special Schools trough Nearest Prototype classification. Int. J. Interact. Multim. Artif. Intell. 2(1): 12-22 (2013) - [c32]Isel Grau, Gonzalo Nápoles, María M. García:
Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive Maps. CIARP (2) 2013: 190-197 - [c31]Yenny Villuendas-Rey, María Matilde García Lorenzo:
Mixed Data Balancing through Compact Sets Based Instance Selection. CIARP (1) 2013: 254-261 - 2012
- [c30]Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo:
Using Rough Sets and Maximum Similarity Graphs for Nearest Prototype Classification. CIARP 2012: 300-307 - [c29]Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo:
Prototype Selection with Compact Sets and Extended Rough Sets. IBERAMIA 2012: 159-168 - [c28]Yenny Villuendas-Rey, Carmen F. Rey-Benguría, Yailé Caballero Mota, María Matilde García Lorenzo:
Nearest Prototype Classification of Special School Families Based on Hierarchical Compact Sets Clustering. IBERAMIA 2012: 662-671 - [c27]Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo:
Intelligent Feature and Instance Selection to Improve Nearest Neighbor Classifiers. MICAI (1) 2012: 27-38 - [c26]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
- [c25]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 - [c24]Isis Bonet, Abdel Rodríguez, Ricardo Grau Ábalo, María M. García:
Ensemble of Classifiers Based on Hard Instances. MCPR 2011: 67-74 - [c23]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 - 2010
- [j7]Maikel León, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof:
A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences. Polibits 42: 43-49 (2010) - [c22]Maikel León, Ciro Rodriguez, María M. García, Rafael Bello, Koen Vanhoof:
Fuzzy Cognitive Maps for Modeling Complex Systems. MICAI (1) 2010: 166-174 - [p1]Yaile Caballero, Rafael Bello, Leticia Arco, María M. García, Enislay Ramentol:
Knowledge Discovery Using Rough Set Theory. Advances in Machine Learning I 2010: 367-383
2000 – 2009
- 2009
- [j6]Natalia Martínez Sánchez, María Matilde García Lorenzo, Zoila Zenaida García:
Modelo para diseñar sistemas de enseñanza aprendizaje inteligentes utilizando el razonamiento basado en casos. Rev. Avances en Sistemas Informática 6(3): 67-78 (2009) - 2008
- [j5]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) - [c21]Yanet Rodríguez, Bernard De Baets, María M. García, Carlos Morell, Ricardo Grau Ábalo:
A Correlation-Based Distance Function for Nearest Neighbor Classification. CIARP 2008: 284-291 - [c20]Yanet Rodríguez, Carlos Morell, Ricardo Grau Ábalo, María M. García, Bernard De Baets:
Fuzzy Case-Based System for Classification Tasks on Missing and Noisy Data. HIS 2008: 222-227 - [c19]Isis Bonet, Abdel Rodríguez, Ricardo Grau Ábalo, María M. García, Yvan Saeys, Ann Nowé:
Comparing Distance Measures with Visual Methods. MICAI 2008: 90-99 - [c18]Yanet Rodríguez, Mabel González Castellanos, Adonis Aguirre, Mayelis Espinosa, Ricardo Grau Ábalo, Joaquín O. García, Luis E. Rovira, María M. García:
Prediction of Pediatric Risk Using a Hybrid Model Based on Soft Computing Techniques. MICAI 2008: 472-481 - [c17]Maikel León, Isis Bonet, María M. García, Zoila Zenaida García:
Combining Concept Maps and Petri Nets to Generate Intelligent Tutoring Systems: A Possible Approach. MICAI 2008: 797-805 - 2007
- [c16]Yanet Rodríguez, Bernard De Baets, María M. García, Ricardo Grau Ábalo, Carlos Morell, Rafael Bello:
Improving a Fuzzy ANN Model Using Correlation Coefficients. IFSA (2) 2007: 752-761 - [c15]Yaile Caballero, Rafael Bello, Leticia Arco, María M. García:
Rough Set Theory Measures to Knowledge Generation. ISDA 2007: 401-406 - [c14]Yaile Caballero, Delia Alvarez, Rafael Bello, María M. García:
Feature Selection Algorithms Using Rough Set Theory. ISDA 2007: 407-411 - [c13]Rafael Bello, Yudel Gómez, María M. García, Ann Nowé:
Two-Step Particle Swarm Optimization to Solve the Feature Selection Problem. ISDA 2007: 691-696 - [c12]Isis Bonet, María M. García, Yvan Saeys, Yves Van de Peer, Ricardo Grau Ábalo:
Predicting Human Immunodeficiency Virus (HIV) Drug Resistance Using Recurrent Neural Networks. IWINAC (1) 2007: 234-243 - [c11]Denysde Medina Sotolongo, Natalia Martínez, Zoila Zenaida García, María del Carmen Chávez, María Matilde García Lorenzo:
Putting Artificial Intelligence Techniques into a Concept Map to Build Educational Tools. IWINAC (2) 2007: 617-627 - 2006
- [c10]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 - [c9]Isis Bonet, Yvan Saeys, Ricardo Grau Ábalo, María M. García, Robersy Sanchez, Yves Van de Peer:
Feature Extraction Using Clustering of Protein. CIARP 2006: 614-623 - [c8]Yanet Rodríguez, María M. García, Bernard De Baets, Rafael Bello, Carlos Morell:
Extending a Hybrid CBR-ANN Model by Modeling Predictive Attributes Using Fuzzy Sets. IBERAMIA-SBIA 2006: 238-248 - [c7]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 - [c6]Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García:
Two new feature selection algorithms with Rough Sets Theory. IFIP AI 2006: 209-216 - [c5]Yanet Rodríguez, María M. García, Bernard De Baets, Carlos Morell, Rafael Bello:
A Connectionist Fuzzy Case-Based Reasoning Model. MICAI 2006: 176-185 - [c4]Yaile Caballero, Rafael Bello, Alberto Taboada-Crispí, Ann Nowé, María M. García, Gladys Casas:
A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality. SYNASC 2006: 133-140 - 2005
- [c3]Yaile Caballero, Simone Joseph, Yuniesky Lezcano, Rafael Bello, María M. García, Yaimara Pizano:
Using rough sets to edit training set in k-NN method. ISDA 2005: 456-463 - 2004
- [j4]Pedro Y. Piñero, Pavel Garcia, Leticia Arco, Alfredo Álvarez, María M. García, Rolando Bonal:
Sleep stage classification using fuzzy sets and machine learning techniques. Neurocomputing 58-60: 1137-1143 (2004) - 2003
- [j3]Pedro Y. Piñero, Leticia Arco, María M. García, Liesner Acevedo:
Algorítmos genéticos en la construcción de funciones de pertenencia borrosas. Inteligencia Artif. 7(18): 25-36 (2003) - [c2]Pedro Y. Piñero, Leticia Arco, María M. García, Yaile Caballero, Raykenler Yzquierdo, Alfredo Morales:
Two New Metrics for Feature Selection in Pattern Recognition. CIARP 2003: 488-497 - 2000
- [c1]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
1990 – 1999
- 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, D. Gálvez, G. Sánchez, María M. García, G. Benavides:
Knowledge representation form in mechanical engineering. Knowl. Based Syst. 7(3): 154-160 (1994)
Coauthor Index
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