Michael R Smith
Title
Cited by
Cited by
Year
An instance level analysis of data complexity
MR Smith, T Martinez, C Giraud-Carrier
Machine Learning 95 (2), 225-256, 2014
2462014
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
1242011
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
352014
Nehovah: A Neologism Creator Nomen Ipsum
MR Smith, RS Hintze, D Ventura
Computational Creativity, The International Conference on, 173-181, 2014
272014
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems
MR Smith, T Martinez
Computational Intelligence, 2014
142014
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
122018
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
92020
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
92017
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
92017
The robustness of majority voting compared to filtering misclassified instances in supervised classification tasks
MR Smith, T Martinez
Artificial Intelligence Review, 1-26, 2016
92016
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
Missing Value Imputation With Unsupervised Backpropagation
MS Gashler, MR Smith, R Morris, T Martinez
Computational Intelligence, 2014
92014
An extensive evaluation of filtering misclassified instances in supervised classification tasks
MR Smith, T Martinez
arXiv preprint arXiv:1312.3970, 2013
92013
Individual attributes, values, and goals of an all-military women Antarctic expedition
J Blackadder-Weinstein, GR Leon, RC Norris, NC Venables, M Smith
Aerospace medicine and human performance 90 (1), 18-25, 2019
82019
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
72015
Reducing the effects of detrimental instances
MR Smith, T Martinez
2014 13th International Conference on Machine Learning and Applications, 183-188, 2014
72014
An Empirical Study of Instance Hardness
MR Smith
Brigham Young University, 2010
62010
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
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
The system can't perform the operation now. Try again later.
Articles 1–20