An instance level analysis of data complexity MR Smith, T Martinez, C Giraud-Carrier Machine Learning 95 (2), 225-256, 2014 | 445 | 2014 |
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 |
Browser history {re: visited} M Smith, C Disselkoen, S Narayan, F Brown, D Stefan 12th USENIX Workshop on Offensive Technologies (WOOT 18), 2018 | 44 | 2018 |
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 | 40 | 2014 |
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 | 38 | 1986 |
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 | 36 | 2020 |
Nehovah: A Neologism Creator Nomen Ipsum MR Smith, RS Hintze, D Ventura Computational Creativity, The International Conference on, 173-181, 2014 | 36 | 2014 |
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 | 24 | 2020 |
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems MR Smith, T Martinez Computational Intelligence, 2014 | 22 | 2014 |
The robustness of majority voting compared to filtering misclassified instances in supervised classification tasks MR Smith, T Martinez Artificial Intelligence Review, 1-26, 2016 | 20 | 2016 |
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 | 17 | 2018 |
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 | 17 | 2018 |
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 | 16 | 2021 |
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 | 16 | 2017 |
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 | 16 | 2017 |
Missing Value Imputation With Unsupervised Backpropagation MS Gashler, MR Smith, R Morris, T Martinez Computational Intelligence, 2014 | 16 | 2014 |
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 | 13 | 2021 |
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 | 11 | 2022 |
An extensive evaluation of filtering misclassified instances in supervised classification tasks MR Smith, T Martinez arXiv preprint arXiv:1312.3970, 2013 | 10 | 2013 |
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 | 9 | 2014 |