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Boosting algorithms

E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database

Nima Safaei, Babak Safaei, [ ... ], Mahdi Moqri

Using machine learning to understand age and gender classification based on infant temperament

Maria A. Gartstein, D. Erich Seamon, [ ... ], Evan M. Jordan

3-Dimensional convolutional neural networks for predicting StarCraft Ⅱ results and extracting key game situations

Insung Baek, Seoung Bum Kim

Actionable absolute risk prediction of atherosclerotic cardiovascular disease based on the UK Biobank

Ajay Kesar, Adel Baluch, [ ... ], Stephen Gilbert

Predicting risk for trauma patients using static and dynamic information from the MIMIC III database

Evan J. Tsiklidis, Talid Sinno, Scott L. Diamond

Hollow-tree super: A directional and scalable approach for feature importance in boosted tree models

Stephane Doyen, Hugh Taylor, [ ... ], Michael E. Sughrue

Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques

Colin Griesbach, Andreas Groll, Elisabeth Bergherr

Classification of masked image data

Kamila Lis, Mateusz Koryciński, Konrad A. Ciecierski

Topology identification in distribution system via machine learning algorithms

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

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

Tanmay Nath, Rexford S. Ahima, Prasanna Santhanam

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, [ ... ], Daniel E. Hall

Traffic congestion prediction based on Estimated Time of Arrival

Noureen Zafar, Irfan Ul Haq

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

Sanhita Nandi, Uma Rani Potunuru, [ ... ], Paul Ramesh Thangaraj

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