Óscar Fontenla-Romero

Author

Also Known As

Fontenla-Romero O., Fontenla-Romero, Oscar, O FONTENLAROMERO, O FONTENLA‐ROMERO, O. Fontenla-Romero, OSCAR FONTENLA ROMERO, Oscar Fontenla Romero, Oscar Fontenla-Romero, Oscar Fontenla‐Romero, Oscar- Fontenla-Romero

155

Publications

Citations

H-Index

140

Concepts

All Affiliations

Universidade da Coruña Universidad de Cantabria University of Florida Universidad de Santiago de Chile Universidade de Vigo

ÓF

About

Óscar Fontenla-Romero is an author at Universidade da Coruña specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	21	31	1.3K
2	Medicine	4	4	168
3	Public Health	2	2	67
4	Business	1	1	33
5	Management	1	1	13

Óscar Fontenla-Romero

Publications

1.5K

Citations

H-Index

Page 1

	Year	Citations
Automatic bearing fault diagnosis based on one-class ν-SVM Diego Fernández-Francos, David Martínez‐Rego, Óscar Fontenla-Romero, Computers & Industrial Engineering Fault DiagnosisReliability EngineeringEngineeringMachine LearningPattern Recognition	2012	177
An intelligent system for forest fire risk prediction and fire fighting management in Galicia Amparo Alonso‐Betanzos, Óscar Fontenla-Romero, Bertha Guijarro‐Berdiñas, Expert Systems with Applications Intelligent SystemEngineeringData ScienceFire SafetyFire Dynamic	2003	140
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis Enrique Castillo, Bertha Guijarro‐Berdiñas, Óscar Fontenla-Romero, Journal of Machine Learning Research EngineeringMachine LearningData ScienceUncertainty QuantificationPattern Recognition	2006	123
A new method for sleep apnea classification using wavelets and feedforward neural networks Óscar Fontenla-Romero, Bertha Guijarro‐Berdiñas, Amparo Alonso‐Betanzos, Artificial Intelligence in Medicine SleepSleep Apnea ClassificationSleep DisorderPattern RecognitionFeedforward Neural Networks	2004	86
A Global Optimum Approach for One-Layer Neural Networks Enrique Castillo, Óscar Fontenla-Romero, Bertha Guijarro‐Berdiñas, Neural Computation Artificial IntelligenceModel OptimizationLinear SystemsEvolving Neural NetworkEngineering	2002	68
Linear-Least-Squares Initialization of Multilayer Perceptrons Through Backpropagation of the Desired Response Deniz Erdoğmuş, Óscar Fontenla-Romero, José C. Prı́ncipe, IEEE Transactions on Neural Networks EngineeringMachine LearningMultilayer Neural NetworksMultilayer PerceptronsMultilayer Perceptron	2005	61
Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system Bertha Guijarro‐Berdiñas, Amparo Alonso‐Betanzos, Óscar Fontenla-Romero Artificial Intelligence EngineeringSensor Signal ProcessingPattern RecognitionBiosignal ProcessingBiometrics	2002	60
Distributed One-Class Support Vector Machine Enrique Castillo, Diego Peteiro-Barral, Bertha Guijarro Berdiñas, International Journal of Neural Systems One-class Classification ApproachLocal Data PartitionSupport Vector MachineEngineeringMachine Learning	2015	55
Multispectral classification of grass weeds and wheat (<i>Triticum durum</i>) using linear and nonparametric functional discriminant analysis and neural networks Francisca López Granados, José M. Peña, Montserrat Jurado-Expósito, Weed Research Plant AnalysisPrecision AgricultureEngineeringMachine LearningBotany	2008	51
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach Verónica Bolón‐Canedo, Esra Ataer-Cansızoğlu, Deniz Erdoğmuş, Computer Methods and Programs in Biomedicine Ocular DiseaseEngineeringMachine LearningOphthalmologyRetina	2015	48

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