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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
4332014
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
1812011
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M Smith, C Disselkoen, S Narayan, F Brown, D Stefan
12th USENIX Workshop on Offensive Technologies (WOOT 18), 2018
442018
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
402014
The relationship between program complexity and slice complexity during debugging tasks
HD Longworth, LM Ott, MR Smith
Proceedings of the Computer Software and Applications Conference (COMPSAC’86 …, 1986
381986
Nehovah: A Neologism Creator Nomen Ipsum
MR Smith, RS Hintze, D Ventura
Computational Creativity, The International Conference on, 173-181, 2014
362014
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
342020
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
232020
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems
MR Smith, T Martinez
Computational Intelligence, 2014
222014
The robustness of majority voting compared to filtering misclassified instances in supervised classification tasks
MR Smith, T Martinez
Artificial Intelligence Review, 1-26, 2016
192016
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
172018
A feasibility study of radio-frequency retroreflector attack
S Wakabayashi, S Maruyama, T Mori, S Goto, M Kinugawa, Y Hayashi, ...
12th USENIX Workshop on Offensive Technologies (WOOT 18), 2018
172018
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
162017
Missing Value Imputation With Unsupervised Backpropagation
MS Gashler, MR Smith, R Morris, T Martinez
Computational Intelligence, 2014
162014
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
152017
Sugarcoat: Programmatically generating privacy-preserving, web-compatible resource replacements for content blocking
M Smith, P Snyder, B Livshits, D Stefan
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
142021
Sage advice? The impacts of explanations for machine learning models on human decision-making in spam detection
MC Stites, M Nyre-Yu, B Moss, C Smutz, MR Smith
International Conference on Human-Computer Interaction, 269-284, 2021
122021
Utilizing reinforcement learning to continuously improve a primitive-based motion planner
ZC Goddard, K Wardlaw, K Williams, J Parish, A Mazumdar
Journal of Aerospace Information Systems 19 (7), 468-479, 2022
112022
An extensive evaluation of filtering misclassified instances in supervised classification tasks
MR Smith, T Martinez
arXiv preprint arXiv:1312.3970, 2013
102013
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
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