| An interdisciplinary outlook on large language models for scientific research J Boyko, J Cohen, N Fox, MH Veiga, JI Li, J Liu, B Modenesi, AH Rauch, ... arXiv preprint arXiv:2311.04929, 2023 | 25 | 2023 |
| Shapley-based explainable ai for clustering applications in fault diagnosis and prognosis J Cohen, X Huan, J Ni Journal of Intelligent Manufacturing 35, 4071–4086, 2024 | 14 | 2024 |
| To trust or not: Towards efficient uncertainty quantification for stochastic shapley explanations J Cohen, E Byon, X Huan PHM Society Asia-Pacific Conference 4 (1), 2023 | 8 | 2023 |
| Semi-supervised learning for anomaly classification using partially labeled subsets J Cohen, J Ni Journal of Manufacturing Science and Engineering 144 (6), 061008, 2022 | 8 | 2022 |
| Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation J Cohen, X Huan, J Ni International Journal of Prognostics and Health Management 14 (2), 3486, 2023 | 7 | 2023 |
| Machine learning for diagnosis of event synchronization faults in discrete manufacturing systems J Cohen, B Jiang, J Ni Journal of Manufacturing Science and Engineering 144 (7), 071006, 2022 | 7 | 2022 |
| EveSyncIAI: Event synchronization industrial augmented intelligence for fault diagnosis J Cohen, B Jiang, J Ni IEEE Transactions on Semiconductor Manufacturing 35 (3), 446-456, 2022 | 6 | 2022 |
| Utilizing timed petri nets to guide data-driven fault diagnosis of PLC-timed event systems J Cohen, B Jiang, J Ni 2020 Joint 11th International Conference on Soft Computing and Intelligent …, 2020 | 6 | 2020 |
| Fault diagnosis of timed event systems: An exploration of machine learning methods J Cohen, B Jiang, J Ni International Manufacturing Science and Engineering Conference 84263 …, 2020 | 5 | 2020 |
| Stochastic deep Koopman model for quality propagation analysis in multistage manufacturing systems Z Chen, H Maske, H Shui, D Upadhyay, M Hopka, J Cohen, X Lai, X Huan, ... Journal of Manufacturing Systems 71, 609-619, 2023 | 4 | 2023 |
| Deep convolutional neural network for human detection and tracking in FLIR videos A Sathyan, J Cohen, M Kumar AIAA Infotech@ Aerospace, 1412, 2016 | 4 | 2016 |
| Uncertainty-aware explainable AI as a foundational paradigm for digital twins J Cohen, X Huan Frontiers in Mechanical Engineering 9, 1329146, 2024 | 2 | 2024 |
| A semi-supervised multiclass anomaly detection approach for partially labeled in-process measurement data J Cohen, J Ni International Manufacturing Science and Engineering Conference 85079 …, 2021 | 2 | 2021 |
| A Deep Fuzzy Semi-supervised Approach to Clustering and Fault Diagnosis of Partially Labeled Semiconductor Manufacturing Data J Cohen, J Ni North American Fuzzy Information Processing Society Annual Conference, 62-73, 2021 | 2 | 2021 |
| Augmented Intelligence for Fault Diagnosis in Advanced Manufacturing J Cohen | 1 | 2023 |
| An Unmanned Aerial System for Improved Situational Awareness During Emergency Response B Brown, J Cohen, S Kukreti, A Nemati, M Sarim, A Sathyan, W Wei, ... International Journal of Unmanned Systems Engineering 5 (3), 1-37, 2017 | | 2017 |
| MatConvNet-based Convolutional Neural Networks for Classification of Humans from Infrared Images J Cohen, A Sathyan, M Kumar International Journal of Unmanned Systems Engineering 4 (2), 34-45, 2016 | | 2016 |
Jun NiShien-Ming Wu Collegiate Professor of Manufacturing Science and Professor of Mechanical EngineeringEmail yang diverifikasi di umich.edu
