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Publication Year

  • 2020
  • 2019
  • 2017

Author

  • George Runger
Article

Dynamic incorporation of prior knowledge from multiple domains in biomarker discovery

Guan, X., Runger, G. & Liu, L., Mar 11 2020, In : BMC bioinformatics. 21, 77.

Research output: Contribution to journalArticle

Open Access
1 Scopus citations

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

6 Scopus citations

Identifying and visualizing part-to-part variation with spatially dense optical dimensional metrology data

Shi, Z., Apley, D. W. & Runger, G., Jan 1 2019, In : Journal of Quality Technology. 51, 1, p. 3-20 18 p.

Research output: Contribution to journalArticle

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

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

Research output: Contribution to journalArticle

6 Scopus citations

Matched Forest: Supervised learning for high-dimensional matched case-control studies

Shomal Zadeh, N., Lin, S., Runger, G. C. & Wren, J., Mar 1 2020, In : Bioinformatics. 36, 5, p. 1570-1576 7 p.

Research output: Contribution to journalArticle

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

2 Scopus citations
Comment/debate

Rejoinder on: “On active learning methods for manifold data”

Li, H., Del Castillo, E. & Runger, G., Mar 1 2020, In : Test. 29, 1, p. 42-49 8 p.

Research output: Contribution to journalComment/debate