On the stopping criteria for k-nearest neighbor in positive unlabeled time series classification problems M González, C Bergmeir, I Triguero, Y Rodríguez, JM Benítez Information Sciences 328, 42-59, 2016 | 35 | 2016 |
Self-labeling techniques for semi-supervised time series classification: an empirical study M González, C Bergmeir, I Triguero, Y Rodríguez, JM Benítez Knowledge and Information Systems 55, 493-528, 2018 | 32 | 2018 |
An instance based learning model for classification in data streams with concept change D Mena-Torres, J Aguilar-Ruiz, Y Rodriguez 2012 11th Mexican International Conference on Artificial Intelligence, 58-62, 2012 | 13 | 2012 |
A connectionist fuzzy case-based reasoning model Y Rodriguez, MM Garcia, B De Baets, C Morell, R Bello Mexican International Conference on Artificial Intelligence, 176-185, 2006 | 12 | 2006 |
Learning membership functions for an associative fuzzy neural network Y Rodríguez, R Falcón, A Varela, MM García Granular Computing: At the Junction of Rough Sets and Fuzzy Sets, 151-161, 2008 | 11 | 2008 |
A correlation-based distance function for nearest neighbor classification Y Rodriguez, B De Baets, MM Garcia, C Morell, R Grau Iberoamerican Congress on Pattern Recognition, 284-291, 2008 | 8 | 2008 |
Extending a hybrid CBR-ANN model by modeling predictive attributes using fuzzy sets Y Rodriguez, MM Garcia, B De Baets, R Bello, C Morell Ibero-American Conference on Artificial Intelligence, 238-248, 2006 | 8 | 2006 |
Usando conjuntos borrosos para implementar un modelo para sistemas basados en casos interpretativos MMG Lorenzo, YR Sarabia, REB Pérez International Joint Conference, 7th Ibero-American Conference, 15th …, 2000 | 7 | 2000 |
Learning with ensembles from non-stationary data streams: Aprendiendo con ensambles a partir de flujos de datos no estacionarios A Verdecia-Cabrera, IF Blanco, LQ Dominguez, YR Sarabia Inteligencia Artificial 21 (62), 145-158, 2018 | 5* | 2018 |
Prediction of Pediatric Risk Using a Hybrid Model Based on Soft Computing Techniques Y Rodríguez, M González, A Aguirre, M Espinosa, R Grau, JO García, ... Mexican International Conference on Artificial Intelligence, 472-481, 2008 | 2 | 2008 |
Fuzzy case-based system for classification tasks on missing and noisy data Y Rodríguez, C Morell, R Grau, MM García, B De Baets 2008 Eighth International Conference on Hybrid Intelligent Systems, 222-227, 2008 | 2 | 2008 |
Learning similarity metrics from case solution similarity C Morell, R Bello, R Grau, Y Rodríguez Ibero-American Conference on Artificial Intelligence, 400-408, 2006 | 2 | 2006 |
k-NN behavior with set-valued attributes M González, Y Rodríguez, C Morell European Symposium on Artificial Neural Networks, Computational Intelligence …, 2010 | 1 | 2010 |
Modelación de la evaluación en un editor de preguntas a través de la Lógica Difusa para Sistemas de Enseñanza-Aprendizaje Inteligentes M León, Y Rodríguez, Y Martí, Y Jiménez, M García, Z García CLAIO XIV Latin Ibero-American Congress on Operations Research. Colombia, 0 | 1 | |
Classifier ensemble algorithm for learning from non-stationary data stream AV Cabrera, IF Blanco, AO Diaz, YR Zarabia, HRG Diez Revista Cubana de Ciencias Informáticas 13 (1), 31-44, 2019 | | 2019 |
A goal-related distance function on fuzzy partitions and its use in nearest neighbour classification Y Rodriguez, B De Baets, C Morell International Journal of Hybrid Intelligent Systems 7 (1), 65-73, 2010 | | 2010 |
Improving a Fuzzy ANN Model Using Correlation Coefficients Y Rodriguez, B De Baets, MMGR Grau, C Morell, R Bello Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 752-761, 2007 | | 2007 |
Validación de nuevos algoritmos de la Inteligencia Artificial que utilizan conjuntos borrosos utilizando la herramienta para el aprendizaje automatizado WEKA Y Rodríguez, C Morell, H Matías, LI Araujo | | |
ConFuCiuS: SISTEMA BASADO EN CASOS BORROSO CONEXIONISTA PARA RESOLVER PROBLEMAS DE CLASIFICACION SUPERVISADA Y Rodríguez, MM García, B De Baets, C Morell, R Grau, R Bello | | |
Temática: HEALTH KNOWLEDGE AND INFORMATION MANAGEMENT (Data Mining and Pattern Recognition; Modelling, Simulation, and Artificial Intelligence) Aplicación al diagnóstico médico … Y Rodríguez, MM García, C Morell, R Bello | | |