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Michael R Smith
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An instance level analysis of data complexity
MR Smith, T Martinez, C Giraud-Carrier
Machine Learning 95 (2), 225-256, 2014
2982014
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
1432011
Recommending Learning Algorithms and Their Associated Hyperparameters
MR Smith, L Mitchell, C Giraud-Carrier, T Martinez
2014 International Workshop on Meta-learning and Algorithm Selection …, 2014
362014
Nehovah: A Neologism Creator Nomen Ipsum
MR Smith, RS Hintze, D Ventura
Computational Creativity, The International Conference on, 173-181, 2014
292014
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems
MR Smith, T Martinez
Computational Intelligence, 2014
182014
Crossing the cleft: communication challenges between neuroscience and artificial intelligence
FS Chance, JB Aimone, SS Musuvathy, MR Smith, CM Vineyard, F Wang
Frontiers in computational neuroscience 14, 39, 2020
142020
Dynamic analysis of executables to detect and characterize malware
M Smith, J Ingram, C Lamb, T Draelos, J Doak, J Aimone, C James
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
142018
The robustness of majority voting compared to filtering misclassified instances in supervised classification tasks
MR Smith, T Martinez
Artificial Intelligence Review, 1-26, 2016
122016
Missing Value Imputation With Unsupervised Backpropagation
MS Gashler, MR Smith, R Morris, T Martinez
Computational Intelligence, 2014
122014
An extensive evaluation of filtering misclassified instances in supervised classification tasks
MR Smith, T Martinez
arXiv preprint arXiv:1312.3970, 2013
112013
A spike-timing neuromorphic architecture
AJ Hill, JW Donaldson, FH Rothganger, CM Vineyard, DR Follett, ...
2017 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2017
102017
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines
MR Smith, AJ Hill, KD Carlson, CM Vineyard, J Donaldson, DR Follett, ...
2017 International Joint Conference on Neural Networks (IJCNN), 2421-2428, 2017
102017
An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage
MR Smith, A White, C Giraud-Carrier, T Martinez
2014 International Workshop on Meta-learning and Algorithm Selection …, 2014
92014
Mind the gap: On bridging the semantic gap between machine learning and malware analysis
MR Smith, NT Johnson, JB Ingram, AJ Carbajal, BI Haus, E Domschot, ...
Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security …, 2020
82020
An Empirical Study of Instance Hardness
MR Smith
Brigham Young University, 2010
72010
Reducing the effects of detrimental instances
MR Smith, T Martinez
2014 13th International Conference on Machine Learning and Applications, 183-188, 2014
62014
Time Series Gene Expression Prediction using Neural Networks with Hidden Layers
MR Smith, M Clement, T Martinez, Q Snell
The 7th Annual Biotechnology and Bioinformatics Symposium., 67-69, 2010
62010
A hybrid latent variable neural network model for item recommendation
MR Smith, MS Gashler, T Martinez
2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015
42015
Becoming more robust to label noise with classifier diversity
MR Smith, T Martinez
arXiv preprint arXiv:1403.1893, 2014
42014
A hierarchical multi-output nearest neighbor model for multi-output dependence learning
RG Morris
Brigham Young University, 2013
42013
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Articles 1–20