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Personal profile

Education/Academic qualification

PHD, University of Minnesota-Minneapolis

… → 1982

BS, Cornell University

… → 1974

Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Statistical process control Engineering & Materials Science
Feature extraction Engineering & Materials Science
Statistics Engineering & Materials Science
Process monitoring Engineering & Materials Science
Control Charts Mathematics
Monitoring Engineering & Materials Science
Supervised learning Engineering & Materials Science
Process control Engineering & Materials Science

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Research Output 1979 2018

  • 3725 Citations
  • 35 h-Index
  • 133 Article
  • 25 Conference contribution
  • 2 Chapter
Decision trees
Computational efficiency
Clustering algorithms
Data mining
Computational complexity
1 Citations

Whole blood FPR1 mRNA expression predicts both non-small cell and small cell lung cancer

Morris, S., Vachani, A., Pass, H. I., Rom, W. N., Ryden, K., Weiss, G. J., Hogarth, D. K., Runger, G., Richards, D., Shelton, T. & Mallery, D. W. Jun 1 2018 In : International Journal of Cancer. 142, 11, p. 2355-2362 8 p.

Research output: Contribution to journalArticle

Small Cell Lung Carcinoma
Lung Neoplasms
Messenger RNA
Survival Rate
Biomarkers
1 Citations

GCRNN: Group-Constrained Convolutional Recurrent Neural Network

Lin, S. & Runger, G. C. Dec 7 2017 (Accepted/In press) In : IEEE Transactions on Neural Networks and Learning Systems.

Research output: Contribution to journalArticle

Brain models
Network components
Recurrent neural networks
Convolution
Data structures

Automated data mining methods for identifying energy efficiency opportunities using whole-building electricity data

Howard, P., Runger, G., Reddy, T. A. & Katipamula, S. 2016 ASHRAE Transactions - ASHRAE Winter Conference. Amer. Soc. Heating, Ref. Air-Conditoning Eng. Inc., Vol. 122, p. 422-433 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data mining
Energy efficiency
Electricity
Office buildings
Gas emissions
1 Citations

Discovering the Nature of Variation in Nonlinear Profile Data

Shi, Z., Apley, D. W. & Runger, G. C. Jul 2 2016 In : Technometrics. 58, 3, p. 371-382 12 p.

Research output: Contribution to journalArticle

Monitoring
Supervised learning
Animation
Quality control
Websites

Projects 1997 2021