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An empirical analysis of feature engineering for predictive modeling J Heaton SoutheastCon 2016, 1-6, 2016 | 313 | 2016 |
Programming neural networks with Encog 2 in Java J Heaton Heaton Research, Incorporated, 2010 | 165 | 2010 |
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Introduction to the Math of Neural Networks (Beta-1) J Heaton Heaton Research Inc, 2011 | 106 | 2011 |
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Encog: library of interchangeable machine learning models for Java and C#. J Heaton J. Mach. Learn. Res. 16, 1243-1247, 2015 | 101 | 2015 |
Artificial intelligence for humans, volume 3: Deep learning and neural networks. Heaton Research J Heaton Inc.: St. Louis, MO, USA, 2015 | 71 | 2015 |
Programming spiders, bots, and aggregators in Java J Heaton John Wiley & Sons, 2006 | 66 | 2006 |
Sams teach yourself Visual C++ 6 in 21 days D Chapman Sams, 1998 | 62 | 1998 |
Deep learning and neural networks J Heaton Heaton Research, Incorporated, 2015 | 52 | 2015 |
Early stabilizing feature importance for TensorFlow deep neural networks J Heaton, S McElwee, J Fraley, J Cannady 2017 International Joint Conference on Neural Networks (IJCNN), 4618-4624, 2017 | 47 | 2017 |
Logging in Java with the JDK 1.4 Logging API and Apache log4j S Gupta Apress, 2003 | 45 | 2003 |
Programming Neural Networks With Encog 2 In Java. Heaton Research J Heaton Inc, USA, 2010 | 34 | 2010 |
Applications of deep neural networks J Heaton arXiv preprint arXiv:2009.05673, 2020 | 32 | 2020 |
Introduction to neural networks with Java HT Jeff Heaton Research, Inc., 2005 | 27 | 2005 |
Artificial Intelligence for Humans: Fundamental Algorithms J Heaton Heaton Research, Incorporated, 2013 | 24 | 2013 |
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