| Automatic Localization of Casting Defects with Convolutional Neural Networks M Ferguson, R Ak, YTT Lee, KH Law 2017 IEEE International Conference on Big Data, 2017 | 241 | 2017 |
| Detection and segmentation of manufacturing defects with convolutional neural networks and transfer learning MK Ferguson, AK Ronay, YTT Lee, KH Law Smart and sustainable manufacturing systems 2, 2018 | 223 | 2018 |
| Sensor data reconstruction using bidirectional recurrent neural network with application to bridge monitoring S Jeong, M Ferguson, R Hou, JP Lynch, H Sohn, KH Law Advanced engineering informatics 42, 100991, 2019 | 87 | 2019 |
| Segmentation of additive manufacturing defects using U-net VWH Wong, M Ferguson, KH Law, YTT Lee, P Witherell Journal of Computing and Information Science in Engineering 22 (3), 031005, 2022 | 47* | 2022 |
| Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML) J Park, DJ Lechevalier, R Ak, MK Ferguson, KH Law, YTT Lee, S Rachuri, ... The ASTM Journal of Smart and Sustainable Manufacturing 1 (1), 2017 | 39 | 2017 |
| Sensor data reconstruction and anomaly detection using bidirectional recurrent neural network S Jeong, M Ferguson, KH Law Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2019 | 26 | 2019 |
| R. ak, Y M Ferguson T. Lee, and K. Law,“Automatic localization of casting defects with …, 2017 | 19 | 2017 |
| A 2d-3d object detection system for updating building information models with mobile robots M Ferguson, K Law 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1357-1365, 2019 | 18 | 2019 |
| Detection and segmentation of manufacturing defects with convolutional neural networks and transfer learning. Smart Sustain Manuf. Syst.(2018) M Ferguson, R Ak, YTT Lee, KH Law | 11 | 2018 |
| Worksite object characterization for automatically updating building information models M Ferguson, S Jeong, KH Law ASCE International Conference on Computing in Civil Engineering 2019, 303-311, 2019 | 10 | 2019 |
| ak, Ronay & Lee, Yung-Tsun & Law, Kincho.(2017) M Ferguson Automatic localization of casting defects with convolutional neural networks …, 0 | 10 | |
| A standardized representation of convolutional neural networks for reliable deployment of machine learning models in the manufacturing industry M Ferguson, S Jeong, KH Law, S Levitan, A Narayanan, R Burkhardt, ... International Design Engineering Technical Conferences and Computers and …, 2019 | 9 | 2019 |
| A Generalized Method for Featurization of Manufacturing Signals, with Application to Tool Condition Monitoring M Ferguson, KH Law, R Bhinge, YTT Lee | 8 | 2017 |
| Automatic localization of casting defects with convolutional neural networks R Ak, M Ferguson, YTT Lee, KH Law Ronay Ak, Max Ferguson, Yung-Tsun T. Lee, Kincho H. Law, 2017 | 7 | 2017 |
| A data-driven approach for sensor data reconstruction for bridge monitoring K Law, S Jeong, M Ferguson 2017 World Congress on Advances in Structural Engineering and Mechanics, 2017 | 7 | 2017 |
| Evaluation of a PMML-based GPR scoring engine on a cloud platform and microcomputer board for smart manufacturing M Ferguson, KH Law, R Bhinge, D Dornfeld, J Park, YTT Lee 2016 IEEE International Conference on Big Data (Big Data), 2014-2023, 2016 | 6 | 2016 |
| An assistive learning workflow on annotating images for object detection VWH Wong, M Ferguson, KH Law, YTT Lee 2019 IEEE International Conference on Big Data (Big Data), 1962-1970, 2019 | 5 | 2019 |
| A standardized PMML format for representing convolutional neural networks with application to defect detection M Ferguson, YTT Lee, A Narayanan, KH Law Smart and sustainable manufacturing systems 3 (1), 79, 2019 | 5 | 2019 |
| Data driven analytics (machine learning) for system characterization, diagnostics and control optimization J Park, M Ferguson, KH Law Advanced Computing Strategies for Engineering: 25th EG-ICE International …, 2018 | 5 | 2018 |
| A data processing pipeline for prediction of milling machine tool condition from raw sensor data M Ferguson, R Bhinge, J Park, YT Lee, KH Law Smart and sustainable manufacturing systems 2, 2018 | 4 | 2018 |
Kincho LawProfessor of Civil and Environmental Engineering, Stanford UniversityVerified email at stanford.edu
