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Machine learning

Diagnosis of COVID-19 with simultaneous accurate prediction of cardiac abnormalities from chest computed tomographic images

Moumita Moitra, Maha Alafeef, [ ... ], Dipanjan Pan

Weed target detection at seedling stage in paddy fields based on YOLOX

Xiangwu Deng, Long Qi, [ ... ], Guangjun Qiu

Predicting sepsis-related mortality and ICU admissions from telephone triage information of patients presenting to out-of-hours GP cooperatives with acute infections: A cohort study of linked routine care databases

Feike J. Loots, Marleen Smits, [ ... ], Roderick P. Venekamp

Predicting regional carbon price in China based on multi-factor HKELM by combining secondary decomposition and ensemble learning

Beibei Hu, Yunhe Cheng

Robust meta gradient learning for high-dimensional data with noisy-label ignorance

Ben Liu, Yu Lin

Investigating automated regression models for estimating left ventricular ejection fraction levels in heart failure patients using circadian ECG features

Sona M. Al Younis, Leontios J. Hadjileontiadis, [ ... ], Ahsan H. Khandoker

Sugarcane stem node identification algorithm based on improved YOLOv5

Zhongjian Xie, Yuanhang Li, [ ... ], Shangping Li

Factors associated with low school readiness, a linked health and education data study in Wales, UK

Amrita Bandyopadhyay, Emily Marchant, [ ... ], Sinead Brophy

Olfactory system-inspired electronic nose system using numerous low-cost homogenous and hetrogenous sensors

Sang Woo Lee, Byeong Hee Kim, Young Ho Seo

A multi-view convolutional neural network method combining attention mechanism for diagnosing autism spectrum disorder

Mingzhi Wang, Zhiqiang Ma, [ ... ], Jifeng Guo

Research on customer churn prediction and model interpretability analysis

Ke Peng, Yan Peng, Wenguang Li

Automated, high-throughput quantification of EGFP-expressing neutrophils in zebrafish by machine learning and a highly-parallelized microscope

John Efromson, Giuliano Ferrero, [ ... ], Jeffrey A. Yoder

Predicting asthma using imbalanced data modeling techniques: Evidence from 2019 Michigan BRFSS data

Nirajan Budhathoki, Ramesh Bhandari, Suraj Bashyal, Carl Lee

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