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Boosting algorithms

Expected goals in football: Improving model performance and demonstrating value

James Mead, Anthony O’Hare, Paul McMenemy

Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions

Ezequiel de la Rosa, Diana M. Sima, [ ... ], David Robben

Machine learning with textural analysis of longitudinal multiparametric MRI and molecular subtypes accurately predicts pathologic complete response in patients with invasive breast cancer

Aaquib Syed, Richard Adam, [ ... ], Tim Q. Duong

Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting

Nathaniel MacNell, Lydia Feinstein, [ ... ], Darryl C. Zeldin

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

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