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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

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1979 2018

  • 3872 Citations
  • 36 h-Index
  • 135 Article
  • 25 Conference contribution
  • 2 Chapter

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

Decision trees
Computational efficiency
Clustering algorithms
Data mining
Computational complexity

Performance of next-generation sequencing on small tumor specimens and/or low tumor content samples using a commercially available platform

Morris, S., Subramanian, J., Gel, E., Runger, G., Thompson, E., Mallery, D. & Weiss, G., Apr 1 2018, In : PLoS One. 13, 4, e0196556

Research output: Contribution to journalArticle

Slip forming

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

Active Learning
Distance Measure
2 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

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
Data structures

Projects 1997 2021