| Improved heterogeneous distance functions DR Wilson, TR Martinez Journal of artificial intelligence research 6, 1-34, 1997 | 1936 | 1997 |
| Reduction techniques for instance-based learning algorithms DR Wilson, TR Martinez Machine learning 38, 257-286, 2000 | 1733 | 2000 |
| The general inefficiency of batch training for gradient descent learning DR Wilson, TR Martinez Neural networks 16 (10), 1429-1451, 2003 | 765 | 2003 |
| An instance level analysis of data complexity MR Smith, T Martinez, C Giraud-Carrier Machine learning 95, 225-256, 2014 | 495 | 2014 |
| Quantum Associative Memory D Ventura, TR Martinez Neurocomputers: Development and Applications, 34-53, 2002 | 385 | 2002 |
| Instance pruning techniques DR Wilson, TR Martinez ICML 97 (1997), 400-411, 1997 | 324 | 1997 |
| Distribution-balanced stratified cross-validation for accuracy estimation X Zeng, TR Martinez Journal of Experimental & Theoretical Artificial Intelligence 12 (1), 1-12, 2000 | 272 | 2000 |
| The need for small learning rates on large problems DR Wilson, TR Martinez IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 239 | 2001 |
| 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 | 208 | 2008 |
| Document image binarization with fully convolutional neural networks C Tensmeyer, T Martinez 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 191 | 2017 |
| 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 | 183 | 2011 |
| 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 | 133 | 2011 |
| Initializing the amplitude distribution of a quantum state D Ventura, T Martinez Foundations of Physics Letters 12 (6), 547-559, 1999 | 116 | 1999 |
| Deep splitting and merging for table structure decomposition C Tensmeyer, VI Morariu, B Price, S Cohen, T Martinez 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 114 | 2019 |
| Analysis of convolutional neural networks for document image classification C Tensmeyer, T Martinez 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 94 | 2017 |
| An integrated instance‐based learning algorithm DR Wilson, TR Martinez Computational Intelligence 16 (1), 1-28, 2000 | 94 | 2000 |
| Quantum associative memory with exponential capacity D Ventura, T Martinez 1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998 | 93 | 1998 |
| Improved backpropagation learning in neural networks with windowed momentum E Istook, T Martinez International journal of neural systems 12 (03n04), 303-318, 2002 | 83 | 2002 |
| An empirical comparison of discretization methods D Ventura, TR Martinez Proceedings of the tenth international symposium on computer and information …, 1995 | 83 | 1995 |
| Automatic Generation of Music for Inducing Emotive Response. K Monteith, TR Martinez, D Ventura ICCC, 140-149, 2010 | 82 | 2010 |
Dan VenturaProfessor of Computer Science, Brigham Young UniversityZweryfikowany adres z cs.byu.edu
