LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data von Huang, Li, Yin, Yifeng, Fu, Zeng, Zhang, Shifa, Deng, Hao, Liu, Dianbo

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Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records von Huang, Li, Shea, Andrew L., Qian, Huining, Masurkar, Aditya, Deng, Hao, Liu, Dianbo

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High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies von Cao, Jicong, Novoa, Eva Maria, Zhang, Zhizhuo, Chen, William C. W., Liu, Dianbo, Choi, Gigi C. G., Wong, Alan S. L., Wehrspaun, Claudia, Kellis, Manolis, Lu, Timothy K.

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BarlowTwins-CXR: enhancing chest X-ray abnormality localization in heterogeneous data with cross-domain self-supervised learning von Sheng, Haoyue, Ma, Linrui, Samson, Jean-François, Liu, Dianbo

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FakeSafe: Human Level Steganography Techniques by Disinformation Mapping Using Cycle-Consistent Adversarial Network von Zhu, He, Liu, Dianbo

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Using Artificial Neural Network Condensation to Facilitate Adaptation of Machine Learning in Medical Settings by Reducing Computational Burden: Model Design and Evaluation Study von Liu, Dianbo, Zheng, Ming, Sepulveda, Nestor Andres

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Machine learning approaches to predicting no-shows in pediatric medical appointment von Liu, Dianbo, Shin, Won-Yong, Sprecher, Eli, Conroy, Kathleen, Santiago, Omar, Wachtel, Gal, Santillana, Mauricio

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Maintenance of distinct melanocyte populations in the interfollicular epidermis von Glover, James D., Knolle, Stefan, Wells, Kirsty L., Liu, Dianbo, Jackson, Ian J., Mort, Richard L., Headon, Denis J.

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Current state of science in machine learning methods for automatic infant pain evaluation using facial expression information: study protocol of a systematic review and meta-analys... von Cheng, Dan, Liu, Dianbo, Philpotts, Lisa Liang, Turner, Dana P, Houle, Timothy T, Chen, Lucy, Zhang, Miaomiao, Yang, Jianjun, Zhang, Wei, Deng, Hao

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Sentiment analysis of real-world migraine tweets for population research von Deng, Hao, Wang, Qiushi, Turner, Dana P, Sexton, Katherine E, Burns, Sara M, Eikermann, Matthias, Liu, Dianbo, Cheng, Dan, Houle, Timothy T

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FeARH: Federated machine learning with anonymous random hybridization on electronic medical records von Cui, Jianfei, Zhu, He, Deng, Hao, Chen, Ziwei, Liu, Dianbo

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Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intellig... von Liu, Dianbo, Fox, Kathe, Weber, Griffin, Miller, Tim

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Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models von Liu, Dianbo, Clemente, Leonardo, Poirier, Canelle, Ding, Xiyu, Chinazzi, Matteo, Davis, Jessica, Vespignani, Alessandro, Santillana, Mauricio

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Patients with Cancer Appear More Vulnerable to SARS-CoV-2: A Multicenter Study during the COVID-19 Outbreak von Dai, Mengyuan, Liu, Dianbo, Liu, Miao, Zhou, Fuxiang, Li, Guiling, Chen, Zhen, Zhang, Zhian, You, Hua, Wu, Meng, Zheng, Qichao, Xiong, Yong, Xiong, Huihua, Wang, Chun, Chen, Changchun, Xiong, Fei, Zhang, Yan, Peng, Yaqin, Ge, Siping, Zhen, Bo, Yu, Tingting, Wang, Ling, Wang, Hua, Liu, Yu, Chen, Yeshan, Mei, Junhua, Gao, Xiaojia, Li, Zhuyan, Gan, Lijuan, He, Can, Li, Zhen, Shi, Yuying, Qi, Yuwen, Yang, Jing, Tenen, Daniel G, Chai, Li, Mucci, Lorelei A, Santillana, Mauricio, Cai, Hongbing

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The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales von Poirier, Canelle, Luo, Wei, Majumder, Maimuna S., Liu, Dianbo, Mandl, Kenneth D., Mooring, Todd A., Santillana, Mauricio

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Integrative construction of regulatory region networks in 127 human reference epigenomes by matrix factorization von Liu, Dianbo, Davila-Velderrain, Jose, Zhang, Zhizhuo, Kellis, Manolis

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Universal attenuators and their interactions with feedback loops in gene regulatory networks von Liu, Dianbo, Albergante, Luca, Newman, Timothy J

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Machine learning methods for automatic pain assessment using facial expression information: Protocol for a systematic review and meta-analysis von Liu, Dianbo, Cheng, Dan, Houle, Timothy T., Chen, Lucy, Zhang, Wei, Deng, Hao

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Spatio-temporal heterogeneity in the international trade resilience during COVID-19 von Luo, Wei, He, Lingfeng, Yang, Zihui, Zhang, Shirui, Wang, Yong, Liu, Dianbo, Hu, Sheng, He, Li, Xia, Jizhe, Chen, Min

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Cryptogovernance for Security Supervision in the Internet of Things von Wang, Shiguo, Liu, Haile, Sun, Qiurui, Zhai, Yu, Liu, Dianbo

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