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Publication Year

  • 2017
  • 2016

Author

  • George Runger
2017

GCRNN: Group-Constrained Convolutional Recurrent Neural Network

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

Research output: Contribution to journalArticle

8 Scopus citations
2016

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

3 Scopus citations

Discovering the Nature of Variation in Nonlinear Profile Data

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

Research output: Contribution to journalArticle

5 Scopus citations

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

2 Scopus citations

EEG-based user performance prediction using random forest in a dynamic learning environment

Lujan-Moreno, G. A., Atkinson, R. & Runger, G., Jan 1 2016, Intelligent Tutoring Systems: Structure, Applications and Challenges. Nova Science Publishers, Inc., p. 105-128 24 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

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

33 Scopus citations

Multivariate bounded process adjustment schemes

Govind, N., del Castillo, E., Runger, G. & Janakiram, M., Jul 17 2016, (Accepted/In press) In : Quality Technology and Quantitative Management. p. 1-21 21 p.

Research output: Contribution to journalArticle

Predictive modeling using a nationally representative database to identify patients at risk of developing microalbuminuria

Villa-Zapata, L., Warholak, T., Slack, M., Malone, D., Murcko, A., Runger, G. & Levengood, M., Feb 1 2016, In : International Urology and Nephrology. 48, 2, p. 249-256 8 p.

Research output: Contribution to journalArticle

Time series representation and similarity based on local autopatterns

Baydogan, M. G. & Runger, G., Mar 1 2016, In : Data Mining and Knowledge Discovery. 30, 2, p. 476-509 34 p.

Research output: Contribution to journalArticle

41 Scopus citations