Carlos Morell

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 19

Top Topics

Metric Learning

Kernel Regression

Ranking Algorithm

Gene Expression Programming

Top Venues

Publications

Julio Camejo Corona, Hector Gonzalez, Carlos Morell
Scalable Generalized Multitarget Linear Regression With Output Dependence Estimation. IWAIPR (2021)
Luis A. Quintero-Domínguez, Carlos Morell, Sebastián Ventura
A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming. Expert Syst. Appl. 168 (2021)
Bac Nguyen, Carlos Morell, Bernard De Baets
Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent. IEEE Trans. Cybern. 50 (3) (2020)
Bac Nguyen, Francesc J. Ferri, Carlos Morell, Bernard De Baets
An efficient method for clustered multi-metric learning. Inf. Sci. 471 (2019)
Laidy De Armas Jacomino, Danilo Valdes, Carlos Morell, Rafael Bello
Solutions To Storage Spaces Allocation Problem for Import Containers by Exact and Heuristic Methods. Computación y Sistemas 23 (1) (2019)
Luis A. Quintero-Domínguez, Carlos Morell, Sebastián Ventura
WordificationMI: multi-relational data mining through multiple-instance propositionalization. Prog. Artif. Intell. 8 (3) (2019)
Hector Gonzalez, Carlos Morell, Francesc J. Ferri
Generalized Multitarget Linear Regression with Output Dependence Estimation. CIARP (2018)
Hector Gonzalez, Carlos Morell, Francesc J. Ferri
Accelerated Proximal Gradient Descent in Metric Learning for Kernel Regression. IWAIPR (2018)
Bac Nguyen, Carlos Morell, Bernard De Baets
Distance metric learning for ordinal classification based on triplet constraints. Knowl. Based Syst. 142 (2018)
Alain Guerrero-Enamorado, Carlos Morell, Sebastián Ventura
A gene expression programming algorithm for discovering classification rules in the multi-objective space. Int. J. Comput. Intell. Syst. 11 (1) (2018)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
Effective active learning strategy for multi-label learning. Neurocomputing 273 (2018)
Bac Nguyen, Carlos Morell, Bernard De Baets
Distance metric learning with the Universum. Pattern Recognit. Lett. 100 (2017)
Bac Nguyen, Carlos Morell, Bernard De Baets
Distance metric learning: a two-phase approach. ESANN (2017)
Bac Nguyen, Carlos Morell, Bernard De Baets
Supervised distance metric learning through maximization of the Jeffrey divergence. Pattern Recognit. 64 (2017)
Bac Nguyen, Carlos Morell, Bernard De Baets
Large-scale distance metric learning for k-nearest neighbors regression. Neurocomputing 214 (2016)
Alain Guerrero-Enamorado, Carlos Morell, Amin Y. Noaman, Sebastián Ventura
An Algorithm Evaluation for Discovering Classification Rules with Gene Expression Programming. Int. J. Comput. Intell. Syst. 9 (2) (2016)
Hector Gonzalez, Carlos Morell, Francesc J. Ferri
Improving Nearest Neighbor Based Multi-target Prediction Through Metric Learning. CIARP (2016)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
Effective lazy learning algorithm based on a data gravitation model for multi-label learning. Inf. Sci. (2016)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context. Neurocomputing 161 (2015)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
Evolutionary feature weighting to improve the performance of multi-label lazy algorithms. Integr. Comput. Aided Eng. 21 (4) (2014)
Alicia Hurtado-Cortegana, Francesc J. Ferri, Wladimiro Díaz Villanueva, Carlos Morell
Drug Activity Characterization Using One-Class Support Vector Machines with Counterexamples. CIARP (2) (2013)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura Soto
ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning. CIARP (2) (2013)
Yoisel Campos, Roberto Estrada, Carlos Morell, Francesc J. Ferri
A Feature Set Decomposition Method for the Construction of Multi-classifier Systems Trained with High-Dimensional Data. CIARP (1) (2013)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
Learning similarity metric to improve the performance of lazy multi-label ranking algorithms. ISDA (2012)
Yoisel Campos, Carlos Morell, Francesc J. Ferri
A local complexity based combination method for decision forests trained with high-dimensional data. ISDA (2012)
Michel González, Jorge Casillas, Carlos Morell
Dealing with three uncorrelated criteria by many-objective genetic fuzzy systems. GEFS (2011)
Mabel González Castellanos, Yanet Rodríguez Sarabia, Carlos Morell
KNN behavior with set-valued attributes. ESANN (2010)
Yanet Rodríguez, Bernard De Baets, Carlos Morell
A goal-related distance function on fuzzy partitions and its use in nearest neighbour classification. Int. J. Hybrid Intell. Syst. 7 (1) (2010)
Michel González, Jorge Casillas, Carlos Morell
SIFT-SS: An Advanced Steady-State Multi-Objective Genetic Fuzzy System. HAIS (2) (2010)
Yanet Rodríguez, Bernard De Baets, María M. García, Carlos Morell, Ricardo Grau Ábalo
A Correlation-Based Distance Function for Nearest Neighbor Classification. CIARP (2008)
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)
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)
Yanet Rodríguez, María M. García, Bernard De Baets, Carlos Morell, Rafael Bello
A Connectionist Fuzzy Case-Based Reasoning Model. MICAI (2006)
Carlos Morell, Rafael Bello, Ricardo Grau Ábalo, Yanet Rodríguez
Learning Similarity Metrics from Case Solution Similarity. IBERAMIA-SBIA (2006)
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)
Carlos Morell, Rafael Bello, Ricardo Grau Ábalo
Improving k-NN by Using Fuzzy Similarity Functions. IBERAMIA (2004)