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Boosting algorithms

Topology identification in distribution system via machine learning algorithms

Peyman Razmi, Mahdi Ghaemi Asl, Giorgio Canarella, Afsaneh Sadat Emami

published 01 Jun 2021

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Body fat predicts exercise capacity in persons with Type 2 Diabetes Mellitus: A machine learning approach

Tanmay Nath, Rexford S. Ahima, Prasanna Santhanam

published 31 Mar 2021

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SafeNET: Initial development and validation of a real-time tool for predicting mortality risk at the time of hospital transfer to a higher level of care

Stefanie C. Altieri Dunn, Johanna E. Bellon, Andrew Bilderback, Jeffrey D. Borrebach, Jacob C. Hodges, Mary Kay Wisniewski, Matthew E. Harinstein, Tamra E. Minnier, Joel B. Nelson, Daniel E. Hall

published 08 Feb 2021

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Traffic congestion prediction based on Estimated Time of Arrival

Noureen Zafar, Irfan Ul Haq

published 16 Dec 2020

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Altered kinetics of circulating progenitor cells in cardiopulmonary bypass (CPB) associated vasoplegic patients: A pilot study

Sanhita Nandi, Uma Rani Potunuru, Chandrani Kumari, Abel Arul Nathan, Jayashree Gopal, Gautam I. Menon, Rahul Siddharthan, Madhulika Dixit, Paul Ramesh Thangaraj

published 19 Nov 2020

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Predicting time to graduation at a large enrollment American university

John M. Aiken, Riccardo De Bin, Morten Hjorth-Jensen, Marcos D. Caballero

published 13 Nov 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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Stochastic gradient boosting frequency-severity model of insurance claims

Xiaoshan Su, Manying Bai

published 31 Aug 2020

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Comparison of five Boosting-based models for estimating daily reference evapotranspiration with limited meteorological variables

Tianao Wu, Wei Zhang, Xiyun Jiao, Weihua Guo, Yousef Alhaj Hamoud

published 29 Jun 2020

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Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome

Esra Zihni, Vince Istvan Madai, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey

published 06 Apr 2020

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3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods

Ye Wei, Zirong Peng, Markus Kühbach, Andrew Breen, Marc Legros, Melvyn Larranaga, Frederic Mompiou, Baptiste Gault

published 18 Nov 2019

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A machine learning approach for the prediction of pulmonary hypertension

Andreas Leha, Kristian Hellenkamp, Bernhard Unsöld, Sitali Mushemi-Blake, Ajay M. Shah, Gerd Hasenfuß, Tim Seidler

published 25 Oct 2019

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Ensemble learning method for the prediction of new bioactive molecules

Lateefat Temitope Afolabi, Faisal Saeed, Haslinda Hashim, Olutomilayo Olayemi Petinrin

published 12 Jan 2018

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