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Decision tree learning

Comprehensive Decision Tree Models in Bioinformatics

Gregor Stiglic, Simon Kocbek, Igor Pernek, Peter Kokol

A comparative study on machine learning based algorithms for prediction of motorcycle crash severity

Lukuman Wahab, Haobin Jiang

Using Artificial Intelligence (AI) to predict organizational agility

Niusha Shafiabady, Nick Hadjinicolaou, [ ... ], James Vakilian

Selection of the optimal trading model for stock investment in different industries

Dongdong Lv, Zhenhua Huang, Meizi Li, Yang Xiang

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

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

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

An Introspective Comparison of Random Forest-Based Classifiers for the Analysis of Cluster-Correlated Data by Way of RF++

Yuliya V. Karpievitch, Elizabeth G. Hill, [ ... ], Jonas S. Almeida

Measuring Compounds in Exhaled Air to Detect Alzheimer's Disease and Parkinson’s Disease

Jan-Philipp Bach, Maike Gold, [ ... ], Andreas Rembert Koczulla

Vertical ground reaction force marker for Parkinson’s disease

Md Nafiul Alam, Amanmeet Garg, [ ... ], Kouhyar Tavakolian

A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection

Joydeb Kumar Sana, Mohammad Zoynul Abedin, M. Sohel Rahman, M. Saifur Rahman

The Use of Machine Learning Methodologies to Analyse Antibiotic and Biocide Susceptibility in Staphylococcus aureus

Joana Rosado Coelho, João André Carriço, [ ... ], Ana Teresa Freitas

QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting

Dominic Waithe, Peter Rennert, Gabriel Brostow, Matthew D. W. Piper

Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology

Yan Ouyang, Xuewei Li, [ ... ], Liming Peng

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