Tony Martinez - Concepedia

Author

Tony Martinez

Also Known As

Martinez, T. R., Martinez, Tony, Michael S. Gashler, Price, Brian, T. Martinez, T. R. Martinez, T.R. Martinez, T.R. Martinez,, TONY MARTINEZ, TONY R. MARTINEZ

190

Publications

6.3K

Citations

H-Index

155

Concepts

All Affiliations

Brigham Young University

About

Tony Martinez is an author at Brigham Young University specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	23	51	4.2K
2	Arts	2	2	62
3	Business	1	1	10
4	Education	1	1	10
5	Health Sciences	1	1	12

Tony Martinez

Publications

5.7K

Citations

H-Index

Page 1

	Year	Citations
Improved Heterogeneous Distance Functions D.R. Wilson, Tony Martinez Journal of Artificial Intelligence Research Artificial IntelligenceEngineeringMachine LearningSimilarity MeasureValue Difference Metric	1997	1.3K
Reduction Techniques for Instance-Based Learning Algorithms D.R. Wilson, Tony Martinez Machine Learning	2000	1.2K
The general inefficiency of batch training for gradient descent learning D.R. Wilson, Tony Martinez Neural Networks Batch TrainingEngineeringMachine LearningComputational Learning TheorySparse Neural Network	2003	415
An instance level analysis of data complexity Michael R. Smith, Tony Martinez, Christophe Giraud-Carrier Machine Learning EngineeringAbstract ComplexityData ScienceData MiningProgram Analysis	2013	414
Distribution-balanced stratified cross-validation for accuracy estimation Xinchuan Zeng, Tony Martinez Journal of Experimental & Theoretical Artificial Intelligence EngineeringMachine LearningAccuracy And PrecisionBalanced Intraclass DistributionsVerification And Validation	2000	233
Instance Pruning Techniques D.R. Wilson, Tony Martinez Multiple Instance LearningEngineeringMachine LearningGeneralization AccuracyEmpirical Algorithmics	1997	181
Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous Mike Gashler, Christophe Giraud-Carrier, Tony Martinez EngineeringMachine LearningRandom Forest ApproachInformation RetrievalData Science	2008	152
The need for small learning rates on large problems D.R. Wilson, Tony Martinez Artificial IntelligenceGradient DescentEngineeringMachine LearningData Science	2002	137
Improving classification accuracy by identifying and removing instances that should be misclassified Michael R. Smith, Tony Martinez Artificial IntelligenceAnomaly DetectionMachine LearningEngineeringClassification Method	2011	108
Deep Splitting and Merging for Table Structure Decomposition Chris Tensmeyer, Vlad I. Morariu, Brian Price, Structured PredictionConvolutional Neural NetworkEngineeringMachine LearningStructured Data	2019	104

Page 1