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Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes.

, , , , , , and . CHIL, volume 209 of Proceedings of Machine Learning Research, page 545-555. PMLR, (2023)

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Generative Imputation and Stochastic Prediction., , , , and . CoRR, (2019)Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes., , , , , , and . CHIL, volume 209 of Proceedings of Machine Learning Research, page 545-555. PMLR, (2023)Machine Learning Methods for Personalized Healthcare. University of California, Los Angeles, USA, (2023)Anxiety Detection Leveraging Mobile Passive Sensing., , , , , , , and . BODYNETS, volume 330 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 212-225. Springer, (2020)Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams., , , , and . ICLR (Poster), OpenReview.net, (2019)Cost-Sensitive Feature-Value Acquisition Using Feature Relevance., , , and . CoRR, (2019)Unsupervised Acute Intracranial Hemorrhage Segmentation With Mixture Models., , and . ICHI, page 120-129. IEEE, (2021)FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation., and . WACV, page 1547-1557. IEEE, (2021)Analysis of a three-dimensional dielectric mixture with finite difference method., , and . IEEE Trans. Geosci. Remote. Sens., 39 (5): 1013-1018 (2001)Effective permittivity of mixtures: numerical validation by the FDTD method., , and . IEEE Trans. Geosci. Remote. Sens., 38 (3): 1303-1308 (2000)