| An obstructive sleep apnea detection approach using a discriminative hidden Markov model from ECG signals C Song, K Liu, X Zhang, L Chen, X Xian IEEE Transactions on Biomedical Engineering 63 (7), 1532-1542, 2015 | 264 | 2015 |
| An automatic screening approach for obstructive sleep apnea diagnosis based on single-lead electrocardiogram L Chen, X Zhang, C Song IEEE transactions on automation science and engineering 12 (1), 106-115, 2014 | 172 | 2014 |
| Optimize the signal quality of the composite health index via data fusion for degradation modeling and prognostic analysis K Liu, A Chehade, C Song IEEE Transactions on Automation Science and Engineering 14 (3), 1504-1514, 2015 | 154 | 2015 |
| Integration of data-level fusion model and kernel methods for degradation modeling and prognostic analysis C Song, K Liu, X Zhang IEEE Transactions on Reliability 67 (2), 640-650, 2017 | 105 | 2017 |
| A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes A Chehade, C Song, K Liu, A Saxena, X Zhang Journal of Quality Technology 50 (2), 150-165, 2018 | 88 | 2018 |
| Statistical degradation modeling and prognostics of multiple sensor signals via data fusion: A composite health index approach C Song, K Liu IISE Transactions 50 (10), 853-867, 2018 | 86 | 2018 |
| A generic health index approach for multisensor degradation modeling and sensor selection M Kim, C Song, K Liu IEEE Transactions on Automation Science and Engineering 16 (3), 1426-1437, 2019 | 74 | 2019 |
| A generic framework for multisensor degradation modeling based on supervised classification and failure surface C Song, K Liu, X Zhang IISE Transactions 51 (11), 1288-1302, 2019 | 31 | 2019 |
| Individualized degradation modeling and prognostics in a heterogeneous group via incorporating intrinsic covariate information M Kim, C Song, K Liu IEEE Transactions on Automation Science and Engineering 19 (3), 2079-2094, 2021 | 14 | 2021 |
| Joint learning of failure mode recognition and prognostics for degradation processes D Wang, X Xian, C Song IEEE Transactions on Automation Science and Engineering 21 (2), 1421-1433, 2023 | 8 | 2023 |
| Building local models for flexible degradation modeling and prognostics C Song, Z Zheng, K Liu IEEE Transactions on Automation Science and Engineering 19 (4), 3483-3495, 2021 | 7 | 2021 |
| Collusion detection and ground truth inference in crowdsourcing for labeling tasks C Song, K Liu, X Zhang Journal of Machine Learning Research 22 (190), 1-45, 2021 | 7 | 2021 |
| A severity measurement system for obstructive sleep apnea discrimination using a single ECG signal L Chen, X Zhang, C Song 2013 IEEE International Conference on Automation Science and Engineering …, 2013 | 6 | 2013 |
| Multimodal regression and mode recognition via an integrated deep neural network D Wang, C Song, X Zhang IISE Transactions 56 (10), 1021-1037, 2024 | 2 | 2024 |
| Statistical modeling of electrocardiography signal for subject monitoring and diagnosis L Chen, C Song, X Zhang Healthcare Analytics: From Data to Knowledge to Healthcare Improvement, 95, 2016 | 2 | 2016 |
| Flexible Degradation Modeling via the Integration of Local Models and Importance Sampling D Wang, A Wang, C Song IEEE Transactions on Instrumentation and Measurement, 2024 | 1 | 2024 |
| Deep attention networks with multi-temporal information fusion for sleep apnea detection M Jiao, C Song, X Xian, S Yang, F Liu IEEE Open Journal of Engineering in Medicine and Biology, 2024 | 1 | 2024 |
| Internet of Things-Enabled Degradation Modeling, Inference, and Prognosis C Song The University of Wisconsin-Madison, 2020 | | 2020 |
KAIBO LIUProfessor, University of Wisconsin-MadisonPreverjeni e-poštni naslov na wisc.edu