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Machine learning

Random forest-integrated analysis in AD and LATE brain transcriptome-wide data to identify disease-specific gene expression

Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng

published 07 Sep 2021

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Pneumonia detection in chest X-ray images using an ensemble of deep learning models

Rohit Kundu, Ritacheta Das, Zong Woo Geem, Gi-Tae Han, Ram Sarkar

published 07 Sep 2021

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A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction

Katharina Löffler, Tim Scherr, Ralf Mikut

published 07 Sep 2021

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Classification of soybean frogeye leaf spot disease using leaf hyperspectral reflectance

Shuang Liu, Haiye Yu, Yuanyuan Sui, Haigen Zhou, Junhe Zhang, Lijuan Kong, Jingmin Dang, Lei Zhang

published 03 Sep 2021

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Machine learning model for predicting the optimal depth of tracheal tube insertion in pediatric patients: A retrospective cohort study

Jae-Geum Shim, Kyoung-Ho Ryu, Sung Hyun Lee, Eun-Ah Cho, Sungho Lee, Jin Hee Ahn

published 02 Sep 2021

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Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping

Rubi Quiñones, Francisco Munoz-Arriola, Sruti Das Choudhury, Ashok Samal

published 02 Sep 2021

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Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research

Noah Grodzinski, Ben Grodzinski, Benjamin M. Davies

published 02 Sep 2021

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Differentiable molecular simulation can learn all the parameters in a coarse-grained force field for proteins

Joe G. Greener, David T. Jones

published 02 Sep 2021

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Predicting affinity ties in a surname network

Marcelo Mendoza, Naim Bro

published 02 Sep 2021

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Deep Q-network-based traffic signal control models

Sangmin Park, Eum Han, Sungho Park, Harim Jeong, Ilsoo Yun

published 02 Sep 2021

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A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data

Giovanni De Toni, Cristian Consonni, Alberto Montresor

published 31 Aug 2021

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Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter

Anna Keuchenius, Petter Törnberg, Justus Uitermark

published 31 Aug 2021

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Predicting mortality among patients with liver cirrhosis in electronic health records with machine learning

Aixia Guo, Nikhilesh R. Mazumder, Daniela P. Ladner, Randi E. Foraker

published 31 Aug 2021

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