Federated learning of predictive models from federated Electronic Health Records von Brisimi, Theodora S., Chen, Ruidi, Mela, Theofanie, Olshevsky, Alex, Paschalidis, Ioannis Ch, Shi, Wei

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Distributionally robust learning-to-rank under the Wasserstein metric von Sotudian, Shahabeddin, Chen, Ruidi, Paschalidis, Ioannis Ch

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Effects of Internal Pressure on Urban Water Supply Pipeline Leakage-Induced Soil Subsidence Mechanisms von Cui, Jingyu, Liu, Fengyin, Chen, Ruidi, Wang, Shuangshuang, Pu, Cheng, Zhao, Xu

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Profile of Folate in Breast Milk from Chinese Women over 1-400 Days Postpartum von Su, Yanyan, Mao, Yingyi, Tian, Fang, Cai, Xiaokun, Chen, Ruidi, Li, Na, Qian, Changli, Li, Xiang, Zhao, Yanrong, Wang, Yu

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A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization von Chen, Ruidi, Paschalidis, Ioannis Ch

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Robust Grouped Variable Selection Using Distributionally Robust Optimization von Chen, Ruidi, Paschalidis, Ioannis Ch

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Detection of Unwarranted CT Radiation Exposure from Patient and Imaging Protocol Meta-Data Using Regularized Regression von Chen, Ruidi, Paschalidis, Ioannis Ch, Hatabu, Hiroto, Valtchinov, Vladimir I, Siegelman, Jenifer

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Integrating knowledge-data-driven method to predict load-displacement curve on a trapdoor von Zeng, Hui, Lin, Xing-Tao, Wang, Deng, Chen, Xiangsheng, Su, Dong, Chen, Ruidi, Liu, Wei

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Learning From Past Bids to Participate Strategically in Day-Ahead Electricity Markets von Chen, Ruidi, Paschalidis, Ioannis Ch, Caramanis, Michael C., Andrianesis, Panagiotis

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Distributionally robust learning-to-rank under the Wasserstein metric von Shahabeddin Sotudian, Ruidi Chen, Ioannis Ch. Paschalidis

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Distributionally Robust Learning von Chen, Ruidi, Paschalidis, Ioannis Ch

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Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI von Hao, Boran, Shen, Guoyao, Chen, Ruidi, Farris, Chad W., Anderson, Stephan W., Zhang, Xin, Paschalidis, Ioannis Ch

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Distributionally Robust Learning von Chen, Ruidi, Paschalidis, Ioannis Ch

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Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers von Chen, Ruidi, Hao, Boran, Paschalidis, Ioannis Ch

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Outlier Detection Using Robust Optimization with Uncertainty Sets Constructed from Risk Measures von Chen, Ruidi, Paschalidis, Ioannis

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Robust Grouped Variable Selection Using Distributionally Robust Optimization von Chen, Ruidi, Paschalidis, Ioannis Ch

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Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric von Chen, Ruidi, Paschalidis, Ioannis Ch

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Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN von Chen, Ruidi, Paschalidis, Ioannis

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Distributionally Robust Multi-Output Regression Ranking von Sotudian, Shahabeddin, Chen, Ruidi, Paschalidis, Ioannis

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Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers von Chen, Ruidi, Hao, Boran, Paschalidis, Ioannis

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