| Crossing the “Cookie Theft” corpus chasm: applying what BERT learns from outside data to the ADReSS challenge dementia detection task Y Guo, C Li, C Roan, S Pakhomov, T Cohen Frontiers in Computer Science 3, 642517, 2021 | 34 | 2021 |
| GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models C Li, D Knopman, W Xu, T Cohen, S Pakhomov ACL 1, 1866–1877, 2022 | 16 | 2022 |
| Condition Unknown: Predicting Patients' Health Conditions in an Online Health Community C Li, Z Levonian, H Ma, S Yarosh CSCW, 281-284, 2018 | 6 | 2018 |
| TRESTLE: Toolkit for Reproducible Execution of Speech, Text and Language Experiments C Li, W Xu, T Cohen, M Michalowski, S Pakhomov AMIA Informatics Summit 2023, 360-369, 2023 | 3 | 2023 |
| Comparison of adverse events between COVID-19 and Flu vaccines PM Pradhan, Z Shen, C Li, MJ Remucal medRxiv, 2021.09. 22.21263711, 2021 | 2 | 2021 |
| The Far Side of Failure: Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification C Li, T Cohen, S Pakhomov Machine Learning for Health (ML4H), 2022 | 1 | 2022 |
| A curious case of retrogenesis in language: Automated analysis of language patterns observed in dementia patients and young children C Li, J Solinsky, T Cohen, S Pakhomov Neuroscience informatics 4 (1), 100155, 2024 | | 2024 |
| Useful blunders: Can automated speech recognition errors improve downstream dementia classification? C Li, W Xu, T Cohen, S Pakhomov Journal of Biomedical Informatics 150, 104598, 2024 | | 2024 |
| Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium S Hegselmann, H Zhou, Y Zhou, J Chien, S Nagaraj, N Hulkund, S Bhave, ... | | 2023 |
Trevor CohenUniversity of WashingtonVerified email at uw.edu
