Publications
2022
Zheng, H., Lai, V., Lu, J., Hu, D., ... & Rosen, J. Efficacy of Machine Learning to Identify Clinical Factors Influencing Levothyroxine Dosage After Total Thyroidectomy. In The American Journal of Surgery. [Elsevier]
2020
Cai, X., Yan, Z., Duan, F., Hu, D., & Zhang, J.. Lightweight Convolution Neural Network Based on Feature Concatenate for Facial Expression Recognition. In Intelligent Computing in Engineering (pp. 1141-1148). [Springer]
2019
Presentations
2022
Hu, D., Ozer, G.T., Paulson, C.. Time Series Anomaly Detection in the Age of Big Data: Matching Data Generation Processes with Algorithms. Presented at 2022 Symposium on Data Science & Statistics, June 7-10, 2022.
2021
Paulson, C., Hu, D., Ozer, G.T.. Going Against the Stream: Anomaly Detection in Spotify Data to Evaluate Societal Resilience. Presented at the Virtual 2021 Joint Statistical Meetings, Aug 8-12, 2021.
Dugas, M., Hu, D., Mudambi, M., Crowley, K., Layer, A., ... & Gao, G.. Consistent Engagement with a Digital Health Solution Enhances the Effect of Medication Changes on Blood Glucose Control. Presented at the 2021 Association for Psychological Science Virtual Convention, May 26-27, 2021.
Mudambi, M., Hu, D., Dugas, M., Crowley, K., Gao, G., ... & Somali, M.. Identifying Digital Health Habits Correlated with Improved Blood Glucose Control. Presented at the 14th International Conference on Advanced Technologies & Treatments for Diabetes, May 26-29, 2021.
2020