José M. Benítez - Concepedia

Author

José M. Benítez

Also Known As

Benitez, J. M., Benitez, Jose M., Benítez Sánchez, José Manuel, Benítez, J. M., Benítez, José M., Benítez, José Manuel, Fyfe, Colin, J BENITEZSANCHEZ, J M Benitez, J. M. Benitez

187

Publications

8.6K

Citations

H-Index

140

Concepts

All Affiliations

Universidad de Granada VIB-UGent Center for Inflammation Research Ghent University King Abdulaziz University Universidad de Jaén

About

José M. Benítez is an author at Universidad de Granada specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	32	58	6.4K
2	Management	9	9	1.6K
3	Education	3	3	79
4	Business	2	2	48
5	Health Sciences	1	1	21

José M. Benítez

Publications

7.3K

Citations

H-Index

Page 1

	Year	Citations
On the use of cross-validation for time series predictor evaluation Christoph Bergmeir, José M. Benítez Information Sciences Forecasting MethodologyEngineeringBacktestingData SciencePredictive Analytics	2012	996
Big data preprocessing: methods and prospects Salvador García, Sergio Ramírez‐Gallego, Julián Luengo, Big Data Analytics Big Data PreprocessingBig Data AcquisitionData ProcessingEngineeringData Science	2016	671
Are artificial neural networks black boxes? José M. Benítez, Juan Luis Castro, Ignacio Requena IEEE Transactions on Neural Networks Artificial IntelligenceFuzzy SystemsMachine LearningEngineeringFuzzy Modeling	1997	522
On the use of MapReduce for imbalanced big data using Random Forest Sara del Río, Victoria López, José M. Benítez, Information Sciences Imbalanced Big DataEngineeringData ScienceData MiningClass Imbalance	2014	329
Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation Christoph Bergmeir, Rob J. Hyndman, José M. Benítez International Journal of Forecasting Numerical AnalysisEngineeringData ScienceStl DecompositionStatistics	2016	312
Neural Networks in<i>R</i>Using the Stuttgart Neural Network Simulator:<b>RSNNS</b> Christoph Bergmeir, José M. Benítez Journal of Statistical Software Artificial IntelligenceEngineeringMachine LearningNeural Networks (Machine Learning)Machine Learning Tool	2012	296
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data Victoria López, Sara del Río, José M. Benítez, Fuzzy Sets and Systems Imbalanced Big DataEngineeringBusiness IntelligenceMapreduce FrameworkText Mining	2014	254
Big Data with Cloud Computing: an insight on the computing environment,<scp>MapReduce</scp>, and programming frameworks Alberto Fernández, Sara del Río, Victoria López, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery	2014	211
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data Sergio Ramírez‐Gallego, Iago Lastra, David Martínez‐Rego, International Journal of Intelligent Systems Cluster ComputingEngineeringMachine LearningBig Data IndexingFeature Selection	2016	191
<b>frbs</b>: Fuzzy Rule-Based Systems for Classification and Regression in<i>R</i> Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, Journal of Statistical Software Fuzzy SystemsMachine LearningEngineeringFuzzy ModelingEvolving Intelligent System	2015	160

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