Javier Cózar

15 papers B 1C 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2020 J jnl
InferPy: Probabilistic modeling with deep neural networks made easy.
Neurocomputing
Javier Cózar, Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa
2020 — conf
Probabilistic Graphical Models with Neural Networks in InferPy.
PGM
Rafael Cabañas, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa
2019 J jnl
A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity.
IEEE Trans. Fuzzy Syst.
Javier Cózar, Alberto Fernández, Francisco Herrera, José A. Gámez
2019 — conf
CiDAEN: An Online Data Science Course.
HELMeTO
Luis de la Ossa, Pablo Bermejo, Juan A. Aledo, José A. Gámez, José M. Puerta, Cristina Romero-González, Jacinto Arias, Javier Cózar, Enrique González Rodrigo, Juan Ignacio Alonso-Barba, Jesus Martínez-Gómez
2019 J jnl
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy.
CoRR
Javier Cózar, Rafael Cabañas, Andrés R. Masegosa, Antonio Salmerón
2018 J jnl
Building efficient fuzzy regression trees for large scale and high dimensional problems.
J. Big Data
Javier Cózar, Francesco Marcelloni, José A. Gámez, Luis de la Ossa
2018 J jnl
Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an Apriori + local search approach.
Inf. Sci.
Javier Cózar, Luis delaOssa, José A. Gámez
2017 J jnl
An Application of Dynamic Bayesian Networks to Condition Monitoring and Fault Prediction in a Sensored System: a Case Study.
Int. J. Comput. Intell. Syst.
Javier Cózar, José M. Puerta, José A. Gámez
2017 B conf
Generation of first-order TSK rules based on the apriori + search approach.
CEC
Javier Cózar, Luis de la Ossa, José A. Gámez
2015 — conf
Comparing ELM Against MLP for Electrical Power Prediction in Buildings.
IWINAC (2)
Gonzalo Vergara, Javier Cózar, Cristina Romero-González, José A. Gámez, Emilio Soria-Olivas
2015 — conf
Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings.
IFSA-EUSFLAT
Javier Cózar, Gonzalo Vergara, José A. Gámez, Emilio Soria-Olivas
2014 J jnl
Learning TSK-0 linguistic fuzzy rules by means of local search algorithms.
Appl. Soft Comput.
Javier Cózar, Luis de la Ossa, José A. Gámez
2014 — conf
TSK-0 Fuzzy Rule-Based Systems for High-Dimensional Problems Using the Apriori Principle for Rule Generation.
RSCTC
Javier Cózar, Luis de la Ossa, José A. Gámez
2011 — conf
Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms.
CAEPIA
Javier Cózar, Luis de la Ossa, José M. Puerta
2011 C conf
Learning heterogeneus cooperative linguistic fuzzy rules using local search: Enhancing the COR search space.
ISDA
Javier Cózar, Luis delaOssa, José A. Gámez