Tony Martinez
Tony Martinez
Professor of Computer Science, Brigham Young University
Verified email at cs.byu.edu - Homepage
Title
Cited by
Cited by
Year
Improved heterogeneous distance functions
DR Wilson, TR Martinez
Journal of artificial intelligence research 6, 1-34, 1997
17061997
Reduction techniques for instance-based learning algorithms
DR Wilson, TR Martinez
Machine learning 38 (3), 257-286, 2000
15102000
The general inefficiency of batch training for gradient descent learning
DR Wilson, TR Martinez
Neural networks 16 (10), 1429-1451, 2003
5322003
Instance pruning techniques
DR Wilson, TR Martinez
ICML 97 (1997), 400-411, 1997
2951997
Quantum Associative Memory
D Ventura, TR Martinez
Neurocomputers: Development and Applications, 34-53, 2002
2892002
An instance level analysis of data complexity
MR Smith, T Martinez, C Giraud-Carrier
Machine learning 95 (2), 225-256, 2014
2272014
Decision tree ensemble: Small heterogeneous is better than large homogeneous
M Gashler, C Giraud-Carrier, T Martinez
2008 Seventh International Conference on Machine Learning and Applications …, 2008
1432008
Improving classification accuracy by identifying and removing instances that should be misclassified
MR Smith, T Martinez
The 2011 International Joint Conference on Neural Networks, 2690-2697, 2011
1212011
The need for small learning rates on large problems
DR Wilson, TR Martinez
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
1162001
Distribution-balanced stratified cross-validation for accuracy estimation
X Zeng, TR Martinez
Journal of Experimental & Theoretical Artificial Intelligence 12 (1), 1-12, 2000
902000
Initializing the amplitude distribution of a quantum state
D Ventura, T Martinez
Foundations of Physics Letters 12 (6), 547-559, 1999
891999
An integrated instance‐based learning algorithm
DR Wilson, TR Martinez
Computational Intelligence 16 (1), 1-28, 2000
882000
Document image binarization with fully convolutional neural networks
C Tensmeyer, T Martinez
2017 14th IAPR international conference on document analysis and recognition …, 2017
872017
Turning Bayesian model averaging into Bayesian model combination
K Monteith, JL Carroll, K Seppi, T Martinez
The 2011 International Joint Conference on Neural Networks, 2657-2663, 2011
822011
An empirical comparison of discretization methods
D Ventura, TR Martinez
Proceedings of the Tenth International Symposium on Computer and Information …, 1995
751995
Improved backpropagation learning in neural networks with windowed momentum
E Istook, T Martinez
International journal of neural systems 12 (03n04), 303-318, 2002
742002
An artificial neuron with quantum mechanical properties
D Ventura, T Martinez
Artificial Neural Nets and Genetic Algorithms, 482-485, 1997
681997
Cross validation and MLP architecture selection
T Andersen, T Martinez
IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999
621999
Quantum associative memory with exponential capacity
D Ventura, T Martinez
1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998
611998
Using permutations instead of student's t distribution for p-values in paired-difference algorithm comparisons
J Menke, TR Martinez
2004 IEEE international joint conference on neural networks (IEEE Cat. No …, 2004
582004
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Articles 1–20