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 persons 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 2017

  • 3680 Citations
  • 35 h-Index
  • 131 Article
  • 25 Conference contribution
  • 1 Chapter

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

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

Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis

Howard, P., Apley, D. W. & Runger, G. Oct 26 2016 (Accepted/In press) In : IEEE Transactions on Neural Networks and Learning Systems.

Research output: Contribution to journalArticle

Principal component analysis
Neural networks
Backpropagation

Monitoring temporal homogeneity in attributed network streams

Azarnoush, B., Paynabar, K., Bekki, J. & Runger, G. Jan 1 2016 In : Journal of Quality Technology. 48, 1, p. 28-43 16 p.

Research output: Contribution to journalArticle

Monitoring
Large scale systems
Decision making
Experiments
Homogeneity

Projects 1997 2021