Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms. - Javier Cózar; Luis de la Ossa; José M. Puerta (CAEPIA, 2011)

Learning heterogeneus cooperative linguistic fuzzy rules using local search: Enhancing the COR search space. - Javier Cózar; Luis delaOssa; José A. Gámez 001 (ISDA, 2011)

TSK-0 Fuzzy Rule-Based Systems for High-Dimensional Problems Using the Apriori Principle for Rule Generation. - Javier Cózar; Luis de la Ossa; José A. Gámez 001 (RSCTC, 2014)

Learning TSK-0 linguistic fuzzy rules by means of local search algorithms. - Javier Cózar; Luis de la Ossa; José A. Gámez 001 (Appl. Soft Comput., 2014)

Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings. - Javier Cózar; Gonzalo Vergara; José A. Gámez 001; Emilio Soria-Olivas (IFSA-EUSFLAT, 2015)

Comparing ELM Against MLP for Electrical Power Prediction in Buildings. - Gonzalo Vergara; Javier Cózar; Cristina Romero-González; José A. Gámez 001; Emilio Soria-Olivas (IWINAC (2), 2015)

Generation of first-order TSK rules based on the apriori + search approach. - Javier Cózar; Luis de la Ossa; José A. Gámez 001 (CEC, 2017)

An Application of Dynamic Bayesian Networks to Condition Monitoring and Fault Prediction in a Sensored System: a Case Study. - Javier Cózar; José M. Puerta; José A. Gámez 001 (Int. J. Comput. Intell. Syst., 2017)

Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an Apriori + local search approach. - Javier Cózar; Luis delaOssa; José A. Gámez 001 (Inf. Sci., 2018)

Building efficient fuzzy regression trees for large scale and high dimensional problems. - Javier Cózar; Francesco Marcelloni; José A. Gámez 001; Luis de la Ossa (J. Big Data, 2018)

CiDAEN: An Online Data Science Course. - Luis de la Ossa; Pablo Bermejo 001; Juan A. Aledo; José A. Gámez 001; José M. Puerta; Cristina Romero-González; Jacinto Arias; Javier Cózar; Enrique González Rodrigo; Juan Ignacio Alonso-Barba; Jesus Martínez-Gómez (HELMeTO, 2019)

A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity. - Javier Cózar; Alberto Fernández 001; Francisco Herrera; José A. Gámez 001 (IEEE Trans. Fuzzy Syst., 2019)

Probabilistic Graphical Models with Neural Networks in InferPy. - Rafael Cabañas 001; Javier Cózar; Antonio Salmerón; Andrés R. Masegosa (PGM, 2020)

InferPy: Probabilistic modeling with deep neural networks made easy. - Javier Cózar; Rafael Cabañas 001; Antonio Salmerón; Andrés R. Masegosa (Neurocomputing, 2020)