Power–velocity process design charts for powder bed additive manufacturing DR Clymer, J Cagan, J Beuth Journal of Mechanical Design 139 (10), 100907, 2017 | 52 | 2017 |
Decidual Vasculopathy Identification in Whole Slide Images Using Multiresolution Hierarchical Convolutional Neural Networks D Clymer, S Kostadinov, J Catov, L Skvarca, L Pantanowitz, J Cagan, ... The American Journal of Pathology 190 (10), 2111-2122, 2020 | 25 | 2020 |
Game Balancing using Koopman-based Learning AM Avila, M Fonoberova, JP Hespanha, I Mezić, D Clymer, J Goldstein, ... 2021 American Control Conference (ACC), 710-717, 2021 | 8 | 2021 |
Applying machine learning methods toward classification based on small datasets: application to shoulder labral tears DR Clymer, J Long, C Latona, S Akhavan, P LeDuc, J Cagan Journal of Engineering and Science in Medical Diagnostics and Therapy 3 (1 …, 2020 | 5 | 2020 |
Additive manufacturing process design D Clymer, J Beuth, J Cagan 2016 International Solid Freeform Fabrication Symposium, 2016 | 5 | 2016 |
Method for object detection using hierarchical deep learning D Clymer, J Cagan, P Leduc US Patent 11,367,189, 2022 | 1 | 2022 |
Measuring robustness and resilience against counters on autonomous platforms J Sierchio, L Bookman, E Clark, D Clymer, T Wang Autonomous Systems: Sensors, Processing, and Security for Vehicles and …, 2021 | 1 | 2021 |
Method for object detection using hierarchical deep learning J Cagan, P Leduc, D Clymer US Patent App. 18/391,820, 2024 | | 2024 |
Method for object detection using hierarchical deep learning D Clymer, J Cagan, P Leduc, L Pantanowitz, J Catov US Patent 11,893,811, 2024 | | 2024 |
Autonomous system identification and exploitation through observation of behavior L Bookman, D Clymer, J Sierchio, M Gerken Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2022 | | 2022 |
Hierarchical Deep Learning for Disease Identification in High-Resolution Medical Imaging D Clymer Carnegie Mellon University, 2019 | | 2019 |