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Boosting algorithms

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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Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree

Chang Zhou, Hua Yu, Yijie Ding, Fei Guo, Xiu-Jun Gong

published 08 Aug 2017

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Churn prediction of mobile and online casual games using play log data

Seungwook Kim, Daeyoung Choi, Eunjung Lee, Wonjong Rhee

published 05 Jul 2017

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Accurate prediction of functional effects for variants by combining gradient tree boosting with optimal neighborhood properties

Yuliang Pan, Diwei Liu, Lei Deng

published 14 Jun 2017

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Fusing Data Mining, Machine Learning and Traditional Statistics to Detect Biomarkers Associated with Depression

Joanna F. Dipnall, Julie A. Pasco, Michael Berk, Lana J. Williams, Seetal Dodd, Felice N. Jacka, Denny Meyer

published 05 Feb 2016

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Sample Selection for Training Cascade Detectors

Noelia Vállez, Oscar Deniz, Gloria Bueno

published 21 Jul 2015

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