Javier Cózar

Publication Activity (10 Years)

Years Active: 2011-2020
Publications (10 Years): 11

Top Topics

Probabilistic Modeling

High Dimensional Problems

Regression Trees

Dynamic Bayesian Networks

Top Venues

Int. J. Comput. Intell. Syst.

Publications

Rafael Cabañas, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa
Probabilistic Graphical Models with Neural Networks in InferPy. PGM (2020)
Javier Cózar, Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa
InferPy: Probabilistic modeling with deep neural networks made easy. Neurocomputing 415 (2020)
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
CiDAEN: An Online Data Science Course. HELMeTO (2019)
Javier Cózar, Alberto Fernández, Francisco Herrera, José A. Gámez
A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity. IEEE Trans. Fuzzy Syst. 27 (4) (2019)
Javier Cózar, Rafael Cabañas, Andrés R. Masegosa, Antonio Salmerón
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy. CoRR (2019)
Javier Cózar, Francesco Marcelloni, José A. Gámez, Luis de la Ossa
Building efficient fuzzy regression trees for large scale and high dimensional problems. J. Big Data 5 (2018)
Javier Cózar, Luis delaOssa, José A. Gámez
Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an Apriori + local search approach. Inf. Sci. (2018)
Javier Cózar, Luis de la Ossa, José A. Gámez
Generation of first-order TSK rules based on the apriori + search approach. CEC (2017)
Javier Cózar, José Miguel Puerta, José A. Gámez
An Application of Dynamic Bayesian Networks to Condition Monitoring and Fault Prediction in a Sensored System: a Case Study. Int. J. Comput. Intell. Syst. 10 (1) (2017)
Javier Cózar, Gonzalo Vergara, José A. Gámez, Emilio Soria-Olivas
Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings. IFSA-EUSFLAT (2015)
Gonzalo Vergara, Javier Cózar, Cristina Romero-González, José A. Gámez, Emilio Soria-Olivas
Comparing ELM Against MLP for Electrical Power Prediction in Buildings. IWINAC (2) (2015)
Javier Cózar, Luis de la Ossa, José A. Gámez
Learning TSK-0 linguistic fuzzy rules by means of local search algorithms. Appl. Soft Comput. 21 (2014)
Javier Cózar, Luis de la Ossa, José A. Gámez
TSK-0 Fuzzy Rule-Based Systems for High-Dimensional Problems Using the Apriori Principle for Rule Generation. RSCTC (2014)
Javier Cózar, Luis delaOssa, José A. Gámez
Learning heterogeneus cooperative linguistic fuzzy rules using local search: Enhancing the COR search space. ISDA (2011)
Javier Cózar, Luis de la Ossa, José Miguel Puerta
Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms. CAEPIA (2011)