Javier Cózar

According to our database, Javier Cózar authored at least 14 papers between 2011 and 2020.

Collaborative distances:

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

2020

InferPy: Probabilistic modeling with deep neural networks made easy.

Javier Cózar, Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa

Neurocomputing, 2020

Probabilistic Graphical Models with Neural Networks in InferPy.

Rafael Cabañas, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity.

Javier Cózar, Alberto Fernández, Francisco Herrera, José A. Gámez

IEEE Trans. Fuzzy Syst., 2019

CiDAEN: An Online Data Science Course.

Luis de la Ossa, Pablo Bermejo, Juan A. Aledo, José A. Gámez, José Miguel Puerta, Cristina Romero-González, Jacinto Arias, Javier Cózar, Enrique González Rodrigo, Juan Ignacio Alonso-Barba, Jesus Martínez-Gómez

Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019

2018

Building efficient fuzzy regression trees for large scale and high dimensional problems.

Javier Cózar, Francesco Marcelloni, José A. Gámez, Luis de la Ossa

J. Big Data, 2018

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

Inf. Sci., 2018

2017

An Application of Dynamic Bayesian Networks to Condition Monitoring and Fault Prediction in a Sensored System: a Case Study.

Javier Cózar, José Miguel Puerta, José A. Gámez

Int. J. Comput. Intell. Syst., 2017

Generation of first-order TSK rules based on the apriori + search approach.

Javier Cózar, Luis de la Ossa, José A. Gámez

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2015

Comparing ELM Against MLP for Electrical Power Prediction in Buildings.

Gonzalo Vergara, Javier Cózar, Cristina Romero-González, José A. Gámez, Emilio Soria-Olivas

Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings.

Javier Cózar, Gonzalo Vergara, José A. Gámez, Emilio Soria-Olivas

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014

Learning TSK-0 linguistic fuzzy rules by means of local search algorithms.

Javier Cózar, Luis de la Ossa, José A. Gámez

Appl. Soft Comput., 2014

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

Proceedings of the Rough Sets and Current Trends in Computing, 2014

2011

Learning heterogeneus cooperative linguistic fuzzy rules using local search: Enhancing the COR search space.

Javier Cózar, Luis delaOssa, José A. Gámez

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms.

Javier Cózar, Luis de la Ossa, José Miguel Puerta

Proceedings of the Advances in Artificial Intelligence, 2011