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Decision tree learning

Imbalanced learning: Improving classification of diabetic neuropathy from magnetic resonance imaging

Kevin Teh, Paul Armitage, [ ... ], Iain D. Wilkinson

SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning

Jing Xu, Jie Wang, [ ... ], Xin Gao

Predicting time to graduation at a large enrollment American university

John M. Aiken, Riccardo De Bin, Morten Hjorth-Jensen, Marcos D. Caballero

Cyberbullying severity detection: A machine learning approach

Bandeh Ali Talpur, Declan O’Sullivan

Virtual patients as a tool for training pre-registration pharmacists and increasing their preparedness to practice: A qualitative study

Jessica Thompson, Simon White, Stephen Chapman

A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population

Tengyang Wang, Guanghua Liu, Hongye Lin

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

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

The influence of preprocessing on text classification using a bag-of-words representation

Yaakov HaCohen-Kerner, Daniel Miller, Yair Yigal

Computer-aided diagnosis of external and middle ear conditions: A machine learning approach

Michelle Viscaino, Juan C. Maass, [ ... ], Fernando Auat Cheein

Features spaces and a learning system for structural-temporal data, and their application on a use case of real-time communication network validation data

Guido Schwenk, Ben Jochinke, Klaus-Robert Müller

Glycemic-aware metrics and oversampling techniques for predicting blood glucose levels using machine learning

Michael Mayo, Lynne Chepulis, Ryan G. Paul

High Order Profile Expansion to tackle the new user problem on recommender systems

Diego Fernández, Vreixo Formoso, Fidel Cacheda, Victor Carneiro

Graph convolutional network approach applied to predict hourly bike-sharing demands considering spatial, temporal, and global effects

Tae San Kim, Won Kyung Lee, So Young Sohn

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