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Boosting algorithms

BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression data

Li-Pang Chen

Artificial intelligence automates the characterization of reversibly actuating planar-flow-casted NiTi shape memory alloy foil

Ritaban Dutta, Ling Chen, David Renshaw, Daniel Liang

An empirical evaluation of sampling methods for the classification of imbalanced data

Misuk Kim, Kyu-Baek Hwang

Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India

Ranjit Kumar Paul, Md. Yeasin, [ ... ], Ajit Gupta

Predicting the number of days in court cases using artificial intelligence

Raphael Souza de Oliveira, Amilton Sales Reis Jr., Erick Giovani Sperandio Nascimento

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

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