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Machine learning

Android malware detection method based on highly distinguishable static features and DenseNet

Jiyun Yang, Zhibo Zhang, Heng Zhang, JiaWen Fan

Communication-efficient algorithms for solving pressure Poisson equation for multiphase flows using parallel computers

Soumyadip Ghosh, Jiacai Lu, Vijay Gupta, Gretar Tryggvason

Rice nitrogen nutrition monitoring classification method based on the convolution neural network model: Direct detection of rice nitrogen nutritional status

Qiang Zhai, Chun Ye, [ ... ], Jing Hua

SCGG: A deep structure-conditioned graph generative model

Faezeh Faez, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease

Meredith Cox, J. C. Panagides, [ ... ], Dania Daye

Artificial intelligence-based analytics for impacts of COVID-19 and online learning on college students’ mental health

Mostafa Rezapour, Scott K. Elmshaeuser

Identifying psychiatric diagnosis from missing mood data through the use of log-signature features

Yue Wu, Guy M. Goodwin, Terry Lyons, Kate E. A. Saunders

Early detection of norovirus outbreak using machine learning methods in South Korea

Sieun Lee, Eunhae Cho, [ ... ], Giphil Cho

Correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the COVID-19 pandemic: A machine learning analysis

Anasua Kundu, Rui Fu, [ ... ], Michael Chaiton

Machine learning based multi-modal prediction of future decline toward Alzheimer’s disease: An empirical study

Batuhan K. Karaman, Elizabeth C. Mormino, Mert R. Sabuncu, for the Alzheimer’s Disease Neuroimaging Initiative

Calibrated bagging deep learning for image semantic segmentation: A case study on COVID-19 chest X-ray image

Lucy Nwosu, Xiangfang Li, [ ... ], Xishuang Dong

Multicenter validation of a machine learning phase space electro-mechanical pulse wave analysis to predict elevated left ventricular end diastolic pressure at the point-of-care

Sanjeev P. Bhavnani, Rola Khedraki, [ ... ], Frank Smart

Activating discipline specific thinking with adaptive learning: A digital tool to enhance learning in chemistry

Paulette Vincent-Ruz, Nathan R. B. Boase

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