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ORCIDGeorge C. Runger
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- affiliation: Department of Industrial Engineering, Arizona State University
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2020 – today
- 2024
[i5]Jaejin Lee, Seho Kee, Mani Janakiram, George Runger:
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem. CoRR abs/2401.16580 (2024)- 2023
- [i4]Upala Junaida Islam, Kamran Paynabar, George Runger, Ashif Sikandar Iquebal:
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling. CoRR abs/2304.07665 (2023) - 2022
- [j39]Kathleen H. Pine, Margaret M. Hinrichs, Kailey Love, Michael Shafer, George Runger, William Riley:
Addressing Fragmentation of Health Services through Data-Driven Knowledge Co-Production within a Boundary Organization. J. Community Informatics 18(2): 3-26 (2022) - 2021
- [j38]Sangdi Lin
, Bahareh Azarnoush, George C. Runger:
MTBR: Multi-Target Boosting for Regression. IEEE Trans. Knowl. Data Eng. 33(2): 626-636 (2021) - [c16]Anweysha Bhowmik, Logan Cameron, Julia Ivanova, Stanley Haynes, Ariana Cano, George Runger, Anita C. Murcko:
Latinx Acculturation Scales: Scoping Review and Novel Scale Selection Tool. AMIA 2021 - 2020
- [j37]Nooshin Shomal Zadeh, Sangdi Lin, George C. Runger:
Matched Forest: supervised learning for high-dimensional matched case-control studies. Bioinform. 36(5): 1570-1576 (2020) - [j36]Xin Guan, George Runger, Li Liu:
Dynamic incorporation of prior knowledge from multiple domains in biomarker discovery. BMC Bioinform. 21-S(2): 77 (2020) - [j35]Manuel Ricardo Carlos, Luis Carlos González-Gurrola, Johan Wahlström, Graciela Ramírez Alonso, Fernando Martínez-Reyes, George Runger:
How Smartphone Accelerometers Reveal Aggressive Driving Behavior? - The Key is the Representation. IEEE Trans. Intell. Transp. Syst. 21(8): 3377-3387 (2020)
2010 – 2019
- 2019
- [j34]Anh Tuan Bui, Joon-Ku Im, Daniel W. Apley, George C. Runger:
Projection-free kernel principal component analysis for denoising. Neurocomputing 357: 163-176 (2019) - [j33]Mohamed Azmi, George C. Runger, Abdelaziz Berrado:
Interpretable regularized class association rules algorithm for classification in a categorical data space. Inf. Sci. 483: 313-331 (2019) - 2018
- [j32]Seho Kee, Enrique del Castillo, George Runger:
Query-by-committee improvement with diversity and density in batch active learning. Inf. Sci. 454-455: 401-418 (2018) - [j31]Sangdi Lin, Bahareh Azarnoush, George C. Runger:
CRAFTER: A Tree-Ensemble Clustering Algorithm for Static Datasets with Mixed Attributes and High Dimensionality. IEEE Trans. Knowl. Data Eng. 30(9): 1686-1696 (2018) - [j30]Phillip Howard, Daniel W. Apley, George Runger:
Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 29(1): 156-166 (2018) - [j29]Sangdi Lin, George C. Runger:
GCRNN: Group-Constrained Convolutional Recurrent Neural Network. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4709-4718 (2018) - 2016
- [j28]Mustafa Gökçe Baydogan, George C. Runger:
Time series representation and similarity based on local autopatterns. Data Min. Knowl. Discov. 30(2): 476-509 (2016) - [j27]Zhenyu Shi, Daniel W. Apley, George C. Runger:
Discovering the Nature of Variation in Nonlinear Profile Data. Technometrics 58(3): 371-382 (2016) - 2015
- [j26]Mustafa Gökçe Baydogan, George C. Runger:
Learning a symbolic representation for multivariate time series classification. Data Min. Knowl. Discov. 29(2): 400-422 (2015) - 2014
- [j25]Houtao Deng, George C. Runger, Eugene Tuv, Wade Bannister:
CBC: An associative classifier with a small number of rules. Decis. Support Syst. 59: 163-170 (2014) - [j24]Anshuman Sahu, Daniel W. Apley, George C. Runger:
Feature selection for noisy variation patterns using kernel principal component analysis. Knowl. Based Syst. 72: 37-47 (2014) - [j23]Hussam Alshraideh, George Runger:
Process Monitoring Using Hidden Markov Models. Qual. Reliab. Eng. Int. 30(8): 1379-1387 (2014) - [j22]Houtao Deng, Mustafa Gökçe Baydogan, George C. Runger:
SMT: Sparse multivariate tree. Stat. Anal. Data Min. 7(1): 53-69 (2014) - 2013
- [j21]Houtao Deng, George C. Runger, Eugene Tuv, Vladimir Martyanov:
A time series forest for classification and feature extraction. Inf. Sci. 239: 142-153 (2013) - [j20]Mustafa Gökçe Baydogan, George C. Runger, Eugene Tuv:
A Bag-of-Features Framework to Classify Time Series. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2796-2802 (2013) - [j19]Houtao Deng, George C. Runger:
Gene selection with guided regularized random forest. Pattern Recognit. 46(12): 3483-3489 (2013) - [i3]Houtao Deng, George C. Runger, Eugene Tuv, Vladimir Martyanov:
A Time Series Forest for Classification and Feature Extraction. CoRR abs/1302.2277 (2013) - 2012
- [j18]Joon-Ku Im, Daniel W. Apley, George C. Runger:
Tangent Hyperplane Kernel Principal Component Analysis for Denoising. IEEE Trans. Neural Networks Learn. Syst. 23(4): 644-656 (2012) - [c15]Houtao Deng, George C. Runger:
Feature selection via regularized trees. IJCNN 2012: 1-8 - [i2]Houtao Deng, George C. Runger:
Feature Selection via Regularized Trees. CoRR abs/1201.1587 (2012) - [i1]Houtao Deng, George C. Runger:
Gene selection with guided regularized random forest. CoRR abs/1209.6425 (2012) - 2011
- [j17]Amit Shinde, George Church, Mani Janakiram, George C. Runger:
Feature extraction and classification models for high-dimensional profile data. Qual. Reliab. Eng. Int. 27(7): 885-893 (2011) - [j16]Fang Li, George Church, Mani Janakiram, Howard Gholston, George C. Runger:
Fault detection for batch monitoring and discrete wavelet transforms. Qual. Reliab. Eng. Int. 27(8): 999-1008 (2011) - [c14]Anshuman Sahu, George C. Runger, Daniel W. Apley:
Image denoising with a multi-phase kernel principal component approach and an ensemble version. AIPR 2011: 1-7 - [c13]Saylisse Dávila, George C. Runger, Eugene Tuv:
High-Dimensional Surveillance. ICANN (2) 2011: 245-252 - [c12]Houtao Deng, George C. Runger, Eugene Tuv:
Bias of Importance Measures for Multi-valued Attributes and Solutions. ICANN (2) 2011: 293-300 - [c11]Alexander Borisov, George C. Runger, Eugene Tuv:
Target-aware Anomaly Detection and Diagnosis. ICINCO (1) 2011: 14-23 - [c10]Anirudh Kondaveeti, George C. Runger, Huan Liu, Jeremy Rowe:
Extracting geographic knowledge from sensor intervention data using spatial association rules. ICSDM 2011: 127-130 - [c9]Alexander Borisov, Eugene Tuv, George C. Runger:
Active Batch Learning with Tree Ensembles. Active Learning and Experimental Design @ AISTATS 2011: 59-69 - [p1]Houtao Deng, Saylisse Dávila, George C. Runger, Eugene Tuv:
Learning Markov Blankets for Continuous or Discrete Networks via Feature Selection. Ensembles in Machine Learning Applications 2011: 117-131 - 2010
- [j15]Jing Hu, George C. Runger:
Time-based detection of changes to multivariate patterns. Ann. Oper. Res. 174(1): 67-81 (2010)
2000 – 2009
- 2009
- [j14]Wandaliz Torres-García, Weiwen Zhang, George C. Runger, Roger H. Johnson, Deirdre R. Meldrum:
Integrative analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: a non-linear model to predict abundance of undetected proteins. Bioinform. 25(15): 1905-1914 (2009) - [j13]Eugene Tuv, Alexander Borisov, George C. Runger, Kari Torkkola:
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination. J. Mach. Learn. Res. 10: 1341-1366 (2009) - [j12]Hugo C. Garcia, Jesus René Villalobos, Rong Pan, George C. Runger:
A Novel Feature Selection Methodology for Automated Inspection Systems. IEEE Trans. Pattern Anal. Mach. Intell. 31(7): 1338-1344 (2009) - [c8]Abdelaziz Berrado, George C. Runger:
Supervised multivariate discretization in mixed data with Random Forests. AICCSA 2009: 211-217 - [c7]Alexander Borisov, George C. Runger, Eugene Tuv:
Contributor Diagnostics for Anomaly Detection. ICANN (2) 2009: 944-953 - [c6]Alexander Borisov, George C. Runger, Eugene Tuv, Nuttha Lurponglukana-Strand:
Zero-Inflated Boosted Ensembles for Rare Event Counts. IDA 2009: 225-236 - 2007
- [j11]Abdelaziz Berrado, George C. Runger:
Using metarules to organize and group discovered association rules. Data Min. Knowl. Discov. 14(3): 409-431 (2007) - [c5]Victor Eruhimov, Vladimir Martyanov, Eugene Tuv, George C. Runger:
Change-point detection with supervised learning and feature selection. ICINCO-ICSO 2007: 359-363 - 2006
- [j10]George Runger, Murat Caner Testik, Fugee Tsung:
Relationships Among Control Charts Used with Feedback Control. Qual. Reliab. Eng. Int. 22(8): 877-887 (2006) - [j9]Hugo C. Garcia, Jesus René Villalobos, George C. Runger:
An Automated Feature Selection Method for Visual Inspection Systems. IEEE Trans Autom. Sci. Eng. 3(4): 394-406 (2006) - [c4]George C. Runger, Kelly Canter, John Twist, David Rossi, Clifford Kirkham:
X-Ray Powder Diffraction Metrics. BIOCOMP 2006: 352-359 - 2005
- [c3]Jing Hu, George C. Runger, Eugene Tuv:
Contributors to a signal from an artificial contrast. ICINCO 2005: 3-10 - 2004
- [j8]Eugene Tuv, George C. Runger:
Scoring Levels of Categorical Variables with Heterogeneous Data. IEEE Intell. Syst. 19(2): 14-19 (2004) - [j7]Murat Caner Testik, Jeffery K. Cochran, George C. Runger:
Adaptive server staffing in the presence of time-varying arrivals: a feed-forward control approach. J. Oper. Res. Soc. 55(3): 233-239 (2004) - 2003
- [j6]Eugene Tuv, George C. Runger:
Pre-Processing of High-Dimensional Categorical Predictors in Classification Settings. Appl. Artif. Intell. 17(5-6): 419-429 (2003) - [j5]James W. Wisnowski, James R. Simpson, Douglas C. Montgomery, George C. Runger:
Resampling methods for variable selection in robust regression. Comput. Stat. Data Anal. 43(3): 341-355 (2003) - 2001
- [j4]Steven P. Coy, Bruce L. Golden, George C. Runger, Edward A. Wasil:
Using Experimental Design to Find Effective Parameter Settings for Heuristics. J. Heuristics 7(1): 77-97 (2001) - [j3]Nong Ye, Vuong Nguyen, George C. Runger:
Assessment of operation plan performance under uncertainty. IEEE Trans. Syst. Man Cybern. Syst. 31(2): 256-260 (2001) - 2000
- [c2]Nong Ye, Vuong Nguyen, George C. Runger:
Plan performance assessment under uncertainty for command and control. CATA 2000: 354-357
1990 – 1999
- 1998
- [j2]Steven J. Robertson, Bruce L. Golden, George C. Runger, Edward A. Wasil:
Neural network models for initial public offerings. Neurocomputing 18(1-3): 165-182 (1998) - [j1]Steven P. Coy, Bruce L. Golden, George C. Runger, Edward A. Wasil:
See the forest before the trees: fine-tuned learning and its application to the traveling salesman problem. IEEE Trans. Syst. Man Cybern. Part A 28(4): 454-464 (1998) - 1993
- [c1]Yun B. Kim, Thomas R. Willemain, Jorge Haddock, George C. Runger:
The threshold bootstrap: a new approach to simulation output analysis. WSC 1993: 498-502
Coauthor Index
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last updated on 2024-04-24 22:55 CEST by the dblp team
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