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Machine learning

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

Textural feature based intelligent approach for neurological abnormality detection from brain signal data

Md. Nurul Ahad Tawhid, Siuly Siuly, Kate Wang, Hua Wang

Structure learning enhances concept formation in synthetic Active Inference agents

Victorita Neacsu, M. Berk Mirza, Rick A. Adams, Karl J. Friston

A novel hybrid transformer-CNN architecture for environmental microorganism classification

Ran Shao, Xiao-Jun Bi, Zheng Chen

Application of machine learning for multi-community COVID-19 outbreak predictions with wastewater surveillance

Yuehan Ai, Fan He, Emma Lancaster, Jiyoung Lee

Explaining predictive factors in patient pathways using autoencoders

Hugo De Oliveira, Prodel Martin, [ ... ], Xie Xiaolan

Emotion recognition while applying cosmetic cream using deep learning from EEG data; cross-subject analysis

Jieun Kim, Dong-Uk Hwang, [ ... ], Gusang Kwon

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