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Boosting algorithms

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

Stochastic gradient boosting frequency-severity model of insurance claims

Xiaoshan Su, Manying Bai

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

Tianao Wu, Wei Zhang, [ ... ], Yousef Alhaj Hamoud

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

Esra Zihni, Vince Istvan Madai, [ ... ], Dietmar Frey

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

Ye Wei, Zirong Peng, [ ... ], Baptiste Gault

A machine learning approach for the prediction of pulmonary hypertension

Andreas Leha, Kristian Hellenkamp, [ ... ], Tim Seidler

Ensemble learning method for the prediction of new bioactive molecules

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

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

Chang Zhou, Hua Yu, [ ... ], Xiu-Jun Gong

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

Seungwook Kim, Daeyoung Choi, Eunjung Lee, Wonjong Rhee

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

Yuliang Pan, Diwei Liu, Lei Deng

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

Joanna F. Dipnall, Julie A. Pasco, [ ... ], Denny Meyer

Sample Selection for Training Cascade Detectors

Noelia Vállez, Oscar Deniz, Gloria Bueno

Prediction of Outcome in Acute Lower Gastrointestinal Bleeding Using Gradient Boosting

Lakshmana Ayaru, Petros-Pavlos Ypsilantis, [ ... ], Giovanni Montana

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