Find Scholarly Works

Search concepts
Selected Filters

Publication Year

  • 2020
  • 2019
  • 2018
  • 2016

Author

  • George Runger
2019

Interpretable regularized class association rules algorithm for classification in a categorical data space

Azmi, M., Runger, G. & Berrado, A., May 1 2019, In : Information Sciences. 483, p. 313-331 19 p.

Research output: Contribution to journalArticle

3 Scopus citations

Projection-free kernel principal component analysis for denoising

Bui, A. T., Im, J. K., Apley, D. W. & Runger, G., Sep 10 2019, In : Neurocomputing. 357, p. 163-176 14 p.

Research output: Contribution to journalArticle

2018

A data science approach for the classification of low-grade and high-grade ovarian serous carcinomas

Lin, S., Wang, C., Zarei, S., Bell, D. A., Kerr, S. E., Runger, G. & Kocher, J. P. A., Nov 27 2018, In : BMC Genomics. 19, 1, 841.

Research output: Contribution to journalArticle

1 Scopus citations

Correction: Performance of next-generation sequencing on small tumor specimens and/or low tumor content samples using a commercially available platform(PLoS ONE (2018) 13:4 (e0196556) DOI: 10.1371/journal.pone.0196556)

Morris, S. M., Subramanian, J., Gel, E., Runger, G., Thompson, E. J., Mallery, D. W. & Weiss, G. J., Jun 1 2018, In : PLoS One. 13, 6, e0200224.

Research output: Contribution to journalComment/debate

CRAFTER: a Tree-ensemble Clustering Algorithm for Static Datasets with Mixed Attributes and High Dimensionality

Lin, S., Azarnoush, B. & Runger, G., Feb 16 2018, (Accepted/In press) In : IEEE Transactions on Knowledge and Data Engineering.

Research output: Contribution to journalArticle

3 Scopus citations

Identifying nonlinear variation patterns with deep autoencoders

Howard, P., Apley, D. W. & Runger, G., Dec 2 2018, In : IISE Transactions. 50, 12, p. 1089-1103 15 p.

Research output: Contribution to journalArticle

3 Scopus citations

Query-by-committee improvement with diversity and density in batch active learning

Kee, S., del Castillo, E. & Runger, G., Jul 1 2018, In : Information Sciences. 454-455, p. 401-418 18 p.

Research output: Contribution to journalArticle

6 Scopus citations
4 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
5 Scopus citations
1 Scopus citations

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

35 Scopus citations