John Hancock

CatBoost for big data: an interdisciplinary review

John Hancock, Taghi M. Khoshgoftaar · Journal Of Big Data · 2020 · 1.5K citations · Full text

Survey on categorical data for neural networks

John Hancock, Taghi M. Khoshgoftaar · Journal Of Big Data · 2020 · 558 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +19

Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods

Huanjing Wang, Qianxin Liang, John Hancock et al. · Journal Of Big Data · 2024 · 373 citations · Full text

Fraud Detection, Feature Selection Strategies, Engineering +23

Detecting web attacks using random undersampling and ensemble learners

Richard Zuech, John Hancock, Taghi M. Khoshgoftaar · Journal Of Big Data · 2021 · 81 citations · Full text

Engineering, Machine Learning, Information Security +17

Evaluating classifier performance with highly imbalanced Big Data

John Hancock, Taghi M. Khoshgoftaar, Justin Johnson · Journal Of Big Data · 2023 · 81 citations · Full text

Imbalanced Big Data, Machine Learning, Engineering +18