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Machine learning

A data-driven analysis, and its limitations, of the spatial flood archive of Flanders, Belgium to assess the impact of soil sealing on flood volume and extent

Karen Gabriels, Patrick Willems, Jos Van Orshoven

published 01 Oct 2020

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Advancing predictive modeling in archaeology: An evaluation of regression and machine learning methods on the Grand Staircase-Escalante National Monument

Peter M. Yaworsky, Kenneth B. Vernon, Jerry D. Spangler, Simon C. Brewer, Brian F. Codding

published 01 Oct 2020

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Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation

Gurpreet Singh, Yasin Hussain, Zhuoran Xu, Evan Sholle, Kelly Michalak, Kristina Dolan, Benjamin C. Lee, Alexander R. van Rosendael, Zahra Fatima, Jessica M. Peña, Peter W. F. Wilson, Antonio M. Gotto Jr., Leslee J. Shaw, Lohendran Baskaran, Subhi J. Al’Aref

published 30 Sep 2020

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Estimation and prediction of ellipsoidal molecular shapes in organic crystals based on ellipsoid packing

Daiki Ito, Raku Shirasawa, Yoichiro Iino, Shigetaka Tomiya, Gouhei Tanaka

published 30 Sep 2020

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Forecasting and optimizing Agrobacterium-mediated genetic transformation via ensemble model- fruit fly optimization algorithm: A data mining approach using chrysanthemum databases

Mohsen Hesami, Milad Alizadeh, Roohangiz Naderi, Masoud Tohidfar

published 30 Sep 2020

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The skipping behavior of users of music streaming services and its relation to musical structure

Nicola Montecchio, Pierre Roy, François Pachet

published 30 Sep 2020

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On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network

Nasru Minallah, Mohsin Tariq, Najam Aziz, Waleed Khan, Atiq ur Rehman, Samir Brahim Belhaouari

published 28 Sep 2020

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The path to international medals: A supervised machine learning approach to explore the impact of coach-led sport-specific and non-specific practice

Michael Barth, Arne Güllich, Christian Raschner, Eike Emrich

published 25 Sep 2020

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Sociodemographic data and APOE-ε4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems

Obioma Pelka, Christoph M. Friedrich, Felix Nensa, Christoph Mönninghoff, Louise Bloch, Karl-Heinz Jöckel, Sara Schramm, Sarah Sanchez Hoffmann, Angela Winkler, Christian Weimar, Martha Jokisch, for the Alzheimer’s Disease Neuroimaging Initiative

published 25 Sep 2020

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A non-parametric effect-size measure capturing changes in central tendency and data distribution shape

Jörn Lötsch, Alfred Ultsch

published 24 Sep 2020

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Graph embedding-based novel protein interaction prediction via higher-order graph convolutional network

Ze Xiao, Yue Deng

published 24 Sep 2020

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Deep neural network models for identifying incident dementia using claims and EHR datasets

Vijay S. Nori, Christopher A. Hane, Yezhou Sun, William H. Crown, Paul A. Bleicher

published 24 Sep 2020

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Automatic image annotation method based on a convolutional neural network with threshold optimization

Jianfang Cao, Aidi Zhao, Zibang Zhang

published 23 Sep 2020

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