María Matilde García Lorenzo

According to our database, María Matilde García Lorenzo authored at least 64 papers between 1994 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Applications of Computational Intelligence in the Studies of Covid-19.

Rafael Bello, María M. García, Yaile Caballero, Alejandro Rosete, Yanela Rodríguez

Proceedings of the Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022

Fuzzy prototype selection-based classifiers for imbalanced data. Case study.

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

Pattern Recognit. Lett., 2022

Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation.

Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, María M. García, Rafael Bello

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

New Diversity Measures Based on the Coverage and Similarity of the Classification.

Alejandro Morales Hernández, María Matilde García Lorenzo, Yailen Martínez Jiménez, Leidys Cabrera Hernández, Gladys María Casas Cardoso

Computación y Sistemas, 2021

Data Drive Fuzzy Cognitive Map for Classification Problems.

Jairo A. Lefebre-Lobaina, María M. García

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections.

Marilyn Bello, Yaumara Aguilera, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

2020

Towards Context-Aware Opinion Summarization for Monitoring Social Impact of News.

Alejandro Ramón Hernández, Alfredo Simón-Cuevas, María Matilde García Lorenzo, Leticia Arco, Jesús Serrano-Guerrero

Inf., 2020

An interpretable semi-supervised classifier using two different strategies for amended self-labeling.

Isel Grau, Dipankar Sengupta, María Matilde García Lorenzo, Ann Nowé

CoRR, 2020

An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling.

Isel Grau, Dipankar Sengupta, María Matilde García Lorenzo, Ann Nowé

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Intelligent Case-based System for Decision-making in the Electricity Sector.

Nayi Sánchez Fleitas, Raúl Comas Rodríguez, María Matilde García Lorenzo, Amanda Riverol Quesada

Computación y Sistemas, 2019

A semantic approach for topic-based polarity detection: a case study in the Spanish language.

Alejandro Ramón Hernández, María Matilde García Lorenzo, Alfredo Simón-Cuevas, Leticia Arco, Jesús Serrano-Guerrero

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

2018

Intelligent Geographic Information System for Decision Making in the Electricity Sector.

Nayi Sánchez Fleitas, María Matilde García Lorenzo, Raúl Comas Rodríguez, Amanda Riverol Quesada

Res. Comput. Sci., 2018

New Similarity Function for Scientific Articles Clustering Based on the Bibliographic References.

Lisvandy Amador Penichet, Damny Magdaleno Guevara, María Matilde García Lorenzo

Computación y Sistemas, 2018

Expanding MLkNN Using Extended Rough Set Theory.

Gabriela Pérez, Marilyn Bello-García, Gonzalo Nápoles, María Matilde García Lorenzo, Rafael Bello, Koen Vanhoof

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

2017

A Case-Based Reasoning Framework for Clinical Decision Making.

Ivett E. Fuentes Herrera, Beatriz Valdés Pérez, María Matilde García Lorenzo, Leticia Arco García, Mabel M. Herrera González, Rolando de la C. Fuentes Morales

Proceedings of the Advances in Soft Computing, 2017

2016

Personnel Selection in a Competitive Environment.

Marilyn Bello-García, Rafael Bello, María Matilde García Lorenzo, Ann Nowé

Computación y Sistemas, 2016

Genomic Variant Classifier Tool.

Isel Grau, Dipankar Sengupta, Dewan Md. Farid, Bernard Manderick, Ann Nowé, María Matilde García Lorenzo, Dorien Daneels, Maryse Bonduelle, Didier Croes, Sonia Van Dooren

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

2015

Clustering XML Documents using Structure and Content Based in a Proposal Similarity Function (OverallSimSUX).

Damny Magdaleno Guevara, Ivett E. Fuentes Herrera, María Matilde García Lorenzo

Computación y Sistemas, 2015

2014

Probabilistic Approaches to the Rough Set Theory and Their Applications in Decision-Making.

Rafael Bello Pérez, María M. García

Proceedings of the Soft Computing for Business Intelligence, 2014

Selección de atributos y casos para el clasificador NN a través de conjuntos aproximados y algoritmos inspirados en la naturaleza.

Yenny Villuendas-Rey, María Matilde García Lorenzo

Computación y Sistemas, 2014

Agregación de medidas de similitud para la detección de ortólogos: validación con medidas basadas en la teoría de conjuntos aproximados.

Reinier Millo Sánchez, Deborah Galpert Cañizares, Gladys Casas Cardoso, Ricardo Grau Ábalo, Leticia Arco García, María Matilde García Lorenzo, Miguel Ángel Fernández Marin

Computación y Sistemas, 2014

Rough Sets in Ortholog Gene Detection - Selection of Feature Subsets and Case Reduction Considering Imbalance.

Deborah Galpert Cañizares, Reinier Millo Sánchez, María Matilde García Lorenzo, Gladys Casas Cardoso, Ricardo Grau Ábalo, Leticia Arco García

Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014

2013

Improving the family orientation process in Cuban Special Schools trough Nearest Prototype classification.

Yenny Villuendas-Rey, Carmen F. Rey-Benguría, Yailé Caballero Mota, María Matilde García Lorenzo

Int. J. Interact. Multim. Artif. Intell., 2013

Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variable.

Isel Grau, Gonzalo Nápoles, Isis Bonet, María M. García

Computación y Sistemas, 2013

Mixed Data Balancing through Compact Sets Based Instance Selection.

Yenny Villuendas-Rey, María Matilde García Lorenzo

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive Maps.

Isel Grau, Gonzalo Nápoles, María M. García

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012

Intelligent Feature and Instance Selection to Improve Nearest Neighbor Classifiers.

Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo

Proceedings of the Advances in Artificial Intelligence, 2012

A Method for Building Prototypes in the Nearest Prototype Approach Based on Similarity Relations for Problems of Function Approximation.

Marilyn Bello-García, María Matilde García Lorenzo, Rafael Esteban Bello Pérez

Proceedings of the Advances in Artificial Intelligence, 2012

Nearest Prototype Classification of Special School Families Based on Hierarchical Compact Sets Clustering.

Yenny Villuendas-Rey, Carmen F. Rey-Benguría, Yailé Caballero Mota, María Matilde García Lorenzo

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Prototype Selection with Compact Sets and Extended Rough Sets.

Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Using Rough Sets and Maximum Similarity Graphs for Nearest Prototype Classification.

Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011

Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning.

Maikel León, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof

Proceedings of the Advances in Soft Computing, 2011

Ensemble of Classifiers Based on Hard Instances.

Isis Bonet, Abdel Rodríguez, Ricardo Grau Ábalo, María M. García

Proceedings of the Pattern Recognition - Third Mexican Conference, 2011

A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System.

Maikel León, Gonzalo Nápoles, Ciro Rodriguez, María M. García, Rafael Bello, Koen Vanhoof

Proceedings of the New Challenges on Bioinspired Applications, 2011

2010

Knowledge Discovery Using Rough Set Theory.

Yaile Caballero, Rafael Bello, Leticia Arco, María M. García, Enislay Ramentol

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences.

Maikel León, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof

Polibits, 2010

Fuzzy Cognitive Maps for Modeling Complex Systems.

Maikel León, Ciro Rodriguez, María M. García, Rafael Bello, Koen Vanhoof

Proceedings of the Advances in Artificial Intelligence, 2010

2009

Modelo para diseñar sistemas de enseñanza aprendizaje inteligentes utilizando el razonamiento basado en casos.

Natalia Martínez Sánchez, María Matilde García Lorenzo, Zoila Zenaida García

Rev. Avances en Sistemas Informática, 2009

2008

Two Step Swarm Intelligence to Solve the Feature Selection Problem.

Yudel Gómez, Rafael Bello, Amilkar Puris, María M. García, Ann Nowé

J. Univers. Comput. Sci., 2008

Prediction of Pediatric Risk Using a Hybrid Model Based on Soft Computing Techniques.

Yanet Rodríguez, Mabel González Castellanos, Adonis Aguirre, Mayelis Espinosa, Ricardo Grau Ábalo, Joaquín O. García, Luis E. Rovira, María M. García

Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Combining Concept Maps and Petri Nets to Generate Intelligent Tutoring Systems: A Possible Approach.

Maikel León, Isis Bonet, María M. García, Zoila Zenaida García

Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Comparing Distance Measures with Visual Methods.

Isis Bonet, Abdel Rodríguez, Ricardo Grau Ábalo, María M. García, Yvan Saeys, Ann Nowé

Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Fuzzy Case-Based System for Classification Tasks on Missing and Noisy Data.

Yanet Rodríguez, Carlos Morell, Ricardo Grau Ábalo, María M. García, Bernard De Baets

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

A Correlation-Based Distance Function for Nearest Neighbor Classification.

Yanet Rodríguez, Bernard De Baets, María M. García, Carlos Morell, Ricardo Grau Ábalo

Proceedings of the Progress in Pattern Recognition, 2008

2007

Putting Artificial Intelligence Techniques into a Concept Map to Build Educational Tools.

Denysde Medina Sotolongo, Natalia Martínez, Zoila Zenaida García, María del Carmen Chávez, María Matilde García Lorenzo

Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

Predicting Human Immunodeficiency Virus (HIV) Drug Resistance Using Recurrent Neural Networks.

Isis Bonet, María M. García, Yvan Saeys, Yves Van de Peer, Ricardo Grau Ábalo

Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Rough Set Theory Measures to Knowledge Generation.

Yaile Caballero, Rafael Bello, Leticia Arco, María M. García

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Feature Selection Algorithms Using Rough Set Theory.

Yaile Caballero, Delia Alvarez, Rafael Bello, María M. García

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Two-Step Particle Swarm Optimization to Solve the Feature Selection Problem.

Rafael Bello, Yudel Gómez, María M. García, Ann Nowé

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Improving a Fuzzy ANN Model Using Correlation Coefficients.

Yanet Rodríguez, Bernard De Baets, María M. García, Ricardo Grau Ábalo, Carlos Morell, Rafael Bello

Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007

2006

A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality.

Yaile Caballero, Rafael Bello, Alberto Taboada-Crispí, Ann Nowé, María M. García, Gladys Casas

Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006

A Connectionist Fuzzy Case-Based Reasoning Model.

Yanet Rodríguez, María M. García, Bernard De Baets, Carlos Morell, Rafael Bello

Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Improving the k-NN method: Rough Set in edit training set.

Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García, Yaimara Pizano

Proceedings of the Toward Category-Level Object Recognition, 2006

Two new feature selection algorithms with Rough Sets Theory.

Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García

Proceedings of the Artificial Intelligence in Theory and Practice, 2006

Extending a Hybrid CBR-ANN Model by Modeling Predictive Attributes Using Fuzzy Sets.

Yanet Rodríguez, María M. García, Bernard De Baets, Rafael Bello, Carlos Morell

Proceedings of the Advances in Artificial Intelligence, 2006

Feature Extraction Using Clustering of Protein.

Isis Bonet, Yvan Saeys, Ricardo Grau Ábalo, María M. García, Robersy Sanchez, Yves Van de Peer

Proceedings of the Progress in Pattern Recognition, 2006

Two Step Ant Colony System to Solve the Feature Selection Problem.

Rafael Bello, Amilkar Puris, Ann Nowé, Yailen Martínez, María M. García

Proceedings of the Progress in Pattern Recognition, 2006

2005

Using rough sets to edit training set in k-NN method.

Yaile Caballero, Simone Joseph, Yuniesky Lezcano, Rafael Bello, María M. García, Yaimara Pizano

Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

2004

Sleep stage classification using fuzzy sets and machine learning techniques.

Pedro Y. Piñero, Pavel Garcia, Leticia Arco, Alfredo Álvarez, María M. García, Rolando Bonal

Neurocomputing, 2004

2003

Algorítmos genéticos en la construcción de funciones de pertenencia borrosas.

Pedro Y. Piñero, Leticia Arco, María M. García, Liesner Acevedo

Inteligencia Artif., 2003

Two New Metrics for Feature Selection in Pattern Recognition.

Pedro Y. Piñero, Leticia Arco, María M. García, Yaile Caballero, Raykenler Yzquierdo, Alfredo Morales

Proceedings of the Progress in Pattern Recognition, 2003

2000

Usando conjuntos borrosos para implementar un modelo para sistemas basados en casos interpretativos.

María Matilde García Lorenzo, Yanet Rodríguez Sarabia, Rafael Esteban Bello Pérez

Proceedings of the International Joint Conference, 2000

1996

A model and its different applications to case-based reasoning.

María Matilde García Lorenzo, Rafael Esteban Bello Pérez

Knowl. Based Syst., 1996

1994

Knowledge representation form in mechanical engineering.

Rafael Bello, D. Gálvez, G. Sánchez, María M. García, G. Benavides

Knowl. Based Syst., 1994