María Matilde García Lorenzo

发表

Fuzzy Cognitive Maps for Modeling Complex Systems

Koen Vanhoof, Rafael Bello, Maikel León, 2010, MICAI.

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

Rafael Bello, María Matilde García Lorenzo, Marilyn Bello-García, 2012, MICAI.

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

María del Carmen Chávez, María Matilde García Lorenzo, Denysde Medina Sotolongo, 2007, IWINAC.

Improving a Fuzzy ANN Model Using Correlation Coefficients

Bernard De Baets, Rafael Bello, Ricardo del Corazón Grau-Ábalo, 2007, IFSA.

Ensemble of Classifiers Based on Hard Instances

Abdel Rodríguez, Ricardo del Corazón Grau-Ábalo, Isis Bonet, 2011, MCPR.

An Ontology-Based Data Management Model Applied to a Real Information System

Raúl Comas Rodríguez, María Matilde García Lorenzo, Alfredo Simón-Cuevas, 2019 .

María Matilde García Lorenzo, Lisvandy Amador Penichet, Damny Magdaleno Guevara, 2018, Computación y Sistemas.

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

Bernard De Baets, Ricardo del Corazón Grau-Ábalo, María Matilde García Lorenzo, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

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

Bernard De Baets, Rafael Bello, María Matilde García Lorenzo, 2006, IBERAMIA-SBIA.

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

Rafael Bello, María Matilde García Lorenzo, Yanet Rodríguez, 2000, IBERAMIA-SBIA 2000 Open Discussion Track.

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

Isel Grau, María Matilde García Lorenzo, Gonzalo Nápoles, 2013, CIARP.

Sleep stage classification using fuzzy sets and machine learning techniques

Alfredo Álvarez, María Matilde García Lorenzo, Leticia Arco, 2004, Neurocomputing.

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

Koen Vanhoof, Rafael Bello, Maikel León, 2011, MICAI.

A Correlation-Based Distance Function for Nearest Neighbor Classification

Bernard De Baets, Ricardo del Corazón Grau-Ábalo, María Matilde García Lorenzo, 2008, CIARP.

Feature Extraction Using Clustering of Protein

Yvan Saeys, Yves Van de Peer, Ricardo del Corazón Grau-Ábalo, 2006, CIARP.

Knowledge representation form in mechanical engineering

Rafael Bello, María Matilde García Lorenzo, D. Gálvez, 1994, Knowl. Based Syst..

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

Alfredo Simón-Cuevas, María Matilde García Lorenzo, Jesús Serrano-Guerrero, 2019, ITQM.

Feature Selection Algorithms Using Rough Set Theory

Rafael Bello, María Matilde García Lorenzo, Yailé Caballero Mota, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Knowledge Discovery Using Rough Set Theory

Rafael Bello, María Matilde García Lorenzo, Enislay Ramentol, 2010, Advances in Machine Learning I.

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

María Matilde García Lorenzo, Yailé Caballero Mota, Yenny Villuendas-Rey, 2013, Int. J. Interact. Multim. Artif. Intell..

Mixed Data Balancing through Compact Sets Based Instance Selection

María Matilde García Lorenzo, Yenny Villuendas-Rey, 2013, CIARP.

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

Rafael Bello, Ann Nowé, María Matilde García Lorenzo, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Two New Metrics for Feature Selection in Pattern Recognition

María Matilde García Lorenzo, Yailé Caballero Mota, Leticia Arco, 2003, CIARP.

Conceptual Maps and Reasoning Based on Cases: A perspective for the Intelligents Teaching/Learning Systems

María Matilde García Lorenzo, Zoila Zenaida García Valdivia, Natalia Martínez Sánchez, 2010 .

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

Ricardo del Corazón Grau-Ábalo, Gladys Casas Cardoso, María Matilde García Lorenzo, 2014, RSEISP.

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

María Matilde García Lorenzo, Yailé Caballero Mota, Yenny Villuendas-Rey, 2012, IBERAMIA.

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

Yvan Saeys, Yves Van de Peer, Ricardo del Corazón Grau-Ábalo, 2006, IWINAC.

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

Ricardo del Corazón Grau-Ábalo, María Matilde García Lorenzo, Yanet Rodríguez, 2008, MICAI.

Redes neuronales recurrentes para el análisis de secuencias

María Matilde García Lorenzo, Ricardo Grau Abalo, Isis Bonet Cruz, 2007 .

Two new feature selection algorithms with Rough Sets Theory

Rafael Bello, María Matilde García Lorenzo, Yailé Caballero Mota, 2006, IFIP AI.

Two Step Ant Colony System to Solve the Feature Selection Problem

Rafael Bello, Ann Nowé, María Matilde García Lorenzo, 2006, CIARP.

Expanding MLkNN Using Extended Rough Set Theory

Koen Vanhoof, Rafael Bello, María Matilde García Lorenzo, 2018, IWAIPR.

Geographical Information System Based on Artificial Intelligence Techniques

Raúl Comas Rodríguez, María Matilde García Lorenzo, Nayi Sánchez Fleitas, 2018, Communications in Computer and Information Science.

Using Rough Sets and Maximum Similarity Graphs for Nearest Prototype Classification

María Matilde García Lorenzo, Yailé Caballero Mota, Yenny Villuendas-Rey, 2012, CIARP.

Algorítmos genéticos en la construcción de funciones de pertenencia borrosas

María Matilde García Lorenzo, Liesner Acevedo-Martínez, Leticia Arco, 2003, Inteligencia Artif..

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

Rafael Bello, María Matilde García Lorenzo, 2014, Soft Computing for Business Intelligence.

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

Koen Vanhoof, Rafael Bello, Maikel León, 2010, Polibits.

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

Isis Bonet, Isel Grau, María Matilde García Lorenzo, 2013, Computación y Sistemas.

Data model management, with the use of artificial intelligence, for a geographic information system in the energetic sector

María Matilde García Lorenzo, Nayi Sánchez Fleitas, Raúl Comas Rdoríguez, 2016 .

Intelligent decision-making from medical records stored on the CDA-HL7

María Matilde García Lorenzo, Damny Magdaleno Guevara, Ivett E Fuentes Herrera, 2016 .

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

Rafael Bello, María Matilde García Lorenzo, Yailé Caballero Mota, 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

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

Rafael Bello, Ann Nowé, Gladys Casas Cardoso, 2006, 2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

APLICACIONES DE LA INTELIGENCIA ARTIFICIAL

María Matilde García Lorenzo, Zoila Zenaida García Valdivia, Rafael Bello Pérez, 2019 .

Prototype Selection with Compact Sets and Extended Rough Sets

María Matilde García Lorenzo, Yailé Caballero Mota, Yenny Villuendas-Rey, 2012, IBERAMIA.

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

Raúl Comas Rodríguez, María Matilde García Lorenzo, Nayi Sánchez Fleitas, 2019, Computación y Sistemas.

Comparing Distance Measures with Visual Methods

Yvan Saeys, Abdel Rodríguez, Ricardo del Corazón Grau-Ábalo, 2008, MICAI.

Two Step Swarm Intelligence to Solve the Feature Selection Problem

Rafael Bello, Ann Nowé, María Matilde García Lorenzo, 2008, J. Univers. Comput. Sci..

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

Rafael Bello, María Matilde García Lorenzo, Yailé Caballero Mota, 2006, IFIP PPAI.

Sistemas basados en casos y sistemas de enseñanza-aprendizaje inteligentes

María Matilde García Lorenzo, Zoila Zenaida García Valdivia, Natalia Martínez Sánchez, 2010 .

Personnel Selection in a Competitive Environment

Rafael Bello, Ann Nowé, María Matilde García Lorenzo, 2016, Computación y Sistemas.

A Connectionist Fuzzy Case-Based Reasoning Model

Bernard De Baets, Rafael Bello, María Matilde García Lorenzo, 2006, MICAI.

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

Isis Bonet, Maikel León, María Matilde García Lorenzo, 2008, MICAI.

Rough Set Theory Measures to Knowledge Generation

Rafael Bello, María Matilde García Lorenzo, Yailé Caballero Mota, 2007, ISDA.

Data mining para evaluar el riesgo operativo en procesos tecnológicos

María Matilde García Lorenzo, Adolfo Alberto Vanti, Pedro Solana-González, 2019 .

A model and its different applications to case-based reasoning

Rafael Bello, María Matilde García Lorenzo, 1996, Knowl. Based Syst..

Intelligent Feature and Instance Selection to Improve Nearest Neighbor Classifiers

María Matilde García Lorenzo, Yailé Caballero Mota, Yenny Villuendas-Rey, 2012, MICAI.

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

Koen Vanhoof, Rafael Bello, Maikel León, 2011, IWINAC.

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

Ricardo del Corazón Grau-Ábalo, Gladys Casas Cardoso, María Matilde García Lorenzo, 2014, Computación y Sistemas.

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

María Matilde García Lorenzo, Zoila Zenaida García Valdivia, Natalia Martínez Sánchez, 2009, Rev. Avances en Sistemas Informática.

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

María Matilde García Lorenzo, Yenny Villuendas-Rey, 2014, Computación y Sistemas.

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

Alfredo Simón-Cuevas, María Matilde García Lorenzo, Jesús Serrano-Guerrero, 2020, Inf..

Data Drive Fuzzy Cognitive Map for Classification Problems

María Matilde García Lorenzo, Jairo A. Lefebre-Lobaina, M. Lorenzo, 2021, IWAIPR.

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

María Matilde García Lorenzo, Gladys Casas Cardoso, Alejandro Morales Hernández, 2021 .

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

Koen Vanhoof, Rafael Bello, María Matilde García Lorenzo, 2021, IWAIPR.