Javier Cózar

Orcid: 0000-0001-7996-6104

According to our database1, Javier Cózar authored at least 14 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
InferPy: Probabilistic modeling with deep neural networks made easy.
Neurocomputing, 2020

Probabilistic Graphical Models with Neural Networks in InferPy.
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.
IEEE Trans. Fuzzy Syst., 2019

CiDAEN: An Online Data Science Course.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019

2018
Building efficient fuzzy regression trees for large scale and high dimensional problems.
J. Big Data, 2018

Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an Apriori + local search approach.
Inf. Sci., 2018

2017
An Application of Dynamic Bayesian Networks to Condition Monitoring and Fault Prediction in a Sensored System: a Case Study.
Int. J. Comput. Intell. Syst., 2017

Generation of first-order TSK rules based on the apriori + search approach.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2015
Comparing ELM Against MLP for Electrical Power Prediction in Buildings.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings.
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.
Appl. Soft Comput., 2014

TSK-0 Fuzzy Rule-Based Systems for High-Dimensional Problems Using the Apriori Principle for Rule Generation.
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.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2011


  Loading...