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Machine learning

Application of multivariate time-series model for high performance computing (HPC) fault prediction

Xiangdong Pei, Min Yuan, Guo Mao, Zhengbin Pang

TorchDIVA: An extensible computational model of speech production built on an open-source machine learning library

Sean P. Kinahan, Julie M. Liss, Visar Berisha

Random forest model can predict the prognosis of hospital-acquired Klebsiella pneumoniae infection as well as traditional logistic regression model

Shuaihua Fan, Jinlan Lin, [ ... ], Jun Guo

A quantitative analysis of the impact of explicit incorporation of recency, seasonality and model specialization into fine-grained tourism demand prediction models

Amir Khatibi, Ana Paula Couto da Silva, Jussara M. Almeida, Marcos A. Gonçalves

Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learning

Damien Lekkas, Joseph A. Gyorda, Erika L. Moen, Nicholas C. Jacobson

Explaining predictive factors in patient pathways using autoencoders

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

A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm

Javier Falces Marin, David Díaz Pardo de Vera, Eduardo Lopez Gonzalo

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

Remote sensing image super-resolution using multi-scale convolutional sparse coding network

Ruihong Cheng, Huajun Wang, Ping Luo

Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese

Thao Nguyen, Tam M. Vo, [ ... ], Ha Q. Nguyen

Machine learning predicts the short-term requirement for invasive ventilation among Australian critically ill COVID-19 patients

Roshan Karri, Yi-Ping Phoebe Chen, [ ... ], for the SPRINT-SARI Australia Investigators

SPARE-Tau: A flortaucipir machine-learning derived early predictor of cognitive decline

Jon B. Toledo, Tanweer Rashid, [ ... ], for the Alzheimer’s Disease Neuroimaging Initiative

An active learning-based approach for screening scholarly articles about the origins of SARS-CoV-2

Xin An, Mengmeng Zhang, Shuo Xu

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