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ORCIDJavier Cózar
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2020 – today
- 2020
[j6]Javier Cózar, Rafael Cabañas, Antonio Salmerón
, Andrés R. Masegosa:
InferPy: Probabilistic modeling with deep neural networks made easy. Neurocomputing 415: 408-410 (2020)- [c8]Rafael Cabañas, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa:
Probabilistic Graphical Models with Neural Networks in InferPy. PGM 2020: 601-604
2010 – 2019
- 2019
- [j5]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): 701-715 (2019) - [c7]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: 113-124 - [i1]Javier Cózar, Rafael Cabañas, Andrés R. Masegosa, Antonio Salmerón:
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy. CoRR abs/1908.11161 (2019) - 2018
- [j4]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. 433-434: 1-16 (2018) - [j3]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: 49 (2018) - 2017
- [j2]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): 176-195 (2017) - [c6]Javier Cózar, Luis de la Ossa, José A. Gámez:
Generation of first-order TSK rules based on the apriori + search approach. CEC 2017: 1675-1682 - 2015
- [c5]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 - [c4]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: 409-418 - 2014
- [j1]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: 57-71 (2014) - [c3]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: 270-279 - 2011
- [c2]Javier Cózar, Luis de la Ossa, José Miguel Puerta:
Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms. CAEPIA 2011: 353-362 - [c1]Javier Cózar, Luis delaOssa, José A. Gámez:
Learning heterogeneus cooperative linguistic fuzzy rules using local search: Enhancing the COR search space. ISDA 2011: 475-480
Coauthor Index
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