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Bradley C. Boehmke
Bradley C. Boehmke
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Title
Cited by
Cited by
Year
Hands-on machine learning with R
B Boehmke, BM Greenwell
Chapman and Hall/CRC, 2019
5822019
gbm: Generalized boosted regression models
B Greenwell, B Boehmke, J Cunningham, GBM Developers
R package version 2 (5), 37-40, 2019
4562019
A simple and effective model-based variable importance measure
BM Greenwell, BC Boehmke, AJ McCarthy
arXiv preprint arXiv:1805.04755, 2018
2792018
gbm: generalized boosted regression models. R package version 2.1. 5
B Greenwell, B Boehmke, J Cunningham, GBM Developers
Website https://cran. r-project. org/package= gbm [accessed 12 January 2020], 2019
2212019
Variable Importance Plots-An Introduction to the vip Package.
BM Greenwell, BC Boehmke, B Gray
R J. 12 (1), 343, 2020
1962020
A quantified Kraljic Portfolio Matrix: Using decision analysis for strategic purchasing
RT Montgomery, JA Ogden, BC Boehmke
Journal of Purchasing and Supply Management, 2017
932017
Package ‘gbm’
B Greenwell, B Boehmke, J Cunningham, GBM Developers, ...
R package version 2 (5), 2019
732019
Gbm: Generalized Boosted Regression Models. 2020
B Greenwell, B Boehmke, J Cunningham, GBM Developers
R package version 2 (8), 2022
712022
Toward understanding outcomes associated with data quality improvement
BT Hazen, FK Weigel, JD Ezell, BC Boehmke, RV Bradley
International Journal of Production Economics 193, 737-747, 2017
432017
Embedded analytics: improving decision support for humanitarian logistics operations
DA Griffith, BC Boehmke, RV Bradley, BT Hazen, AW Johnson
Annals of Operations Research, 1-19, 2017
432017
The Future of Supply Chain Information Systems: The Open Source Ecosystem
BC Boehmke, BT Hazen
Global Journal of Flexible Systems Management, 1-6, 2017
322017
Residuals and diagnostics for binary and ordinal regression models: An introduction to the sure package.
BM Greenwell, AJ McCarthy, BC Boehmke, L Dungang
The R Journal, 2018
302018
Data Wrangling with R
BC Boehmke
Springer International Publishing, 2016
302016
Package ‘gbm’-Generalized Boosted Regression Models
B Greenwell, B Boehmke, J Cunningham, G Developers
CRAN Repos, 39, 2020
252020
Vip: Variable importance plots
B Greenwell, B Boehmke, B Gray
R package version 0.3 2, 2020
182020
A simple and effective model-based variable importance measure. arXiv 2018
BM Greenwell, BC Boehmke, AJ McCarthy
arXiv preprint arXiv:1805.04755, 1805
181805
GBM developers
B Greenwell, B Boehmke, J Cunningham
GMB: Generalized Boosted Regression Models. R Package Version 2 (8), 2020
172020
Gradient boosting
B Boehmke, B Greenwell
Hands-on machine learning with r, 221-223, 2019
172019
Cyber anomaly detection: Using tabulated vectors and embedded analytics for efficient data mining.
RJ Gutierrez, KW Bauer, BC Boehmke, CM Saie, TJ Bihl
Journal of Algorithms and Computational Technology, 2018
172018
A data science and open source software approach to analytics for strategic sourcing
B Boehmke, B Hazen, CA Boone, JL Robinson
International Journal of Information Management 54, 102167, 2020
152020
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