George Runger

Research output

Research output per year 1979 1993 1995 1996 1997 2003 2009 2011 2012 2013 2014 2018 2024

• 146 Article
• 29 Conference contribution
• 3 Comment/debate
• 2 Chapter
• 3 More
  • 2 Review article
  • 1 Letter

Research output per year

Research output per year

Search results

• 2022

  Layered Decision Environment for Agricultural Market Intelligence

  Hernández-Cruz, X., Runger, G., Villalobos, J. R. & Neal, G., 2022, IISE Annual Conference and Expo 2022. Ellis, K., Ferrell, W. & Knapp, J. (eds.). Institute of Industrial and Systems Engineers, IISE, (IISE Annual Conference and Expo 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Supply chains 100%
  • Vegetables 37%
  • Fruits 33%
  • Food waste 22%
  • Nutrition 18%
  3 Scopus citations

• Layered Market Intelligence System

  Hernández-Cruz, X., Villalobos, J. R., Runger, G. & Neal, G., 2022, 6th International Conference on Food and Wine Supply Chain. Accorsi, R., Akkerman, R. & Cholette, S. (eds.). Elsevier B.V., p. 31-38 8 p. (Transportation Research Procedia; vol. 67).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Market Intelligence 100%
  • Supply chains 73%
  • Supply Chain 44%
  • market 42%
  • Harvest 41%
• 2021

  Fresh produce analytical framework

  Hernández-Cruz, X., Neal, G., Runger, G. & Villalobos, J. R., 2021, IISE Annual Conference and Expo 2021. Ghate, A., Krishnaiyer, K. & Paynabar, K. (eds.). Institute of Industrial and Systems Engineers, IISE, p. 1016-1021 6 p. (IISE Annual Conference and Expo 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Agriculture 100%
  • Food waste 94%
  • Supply chains 89%
  • Vegetables 78%
  • Financial markets 73%
  1 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. American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE), p. 422-433 12 p. (ASHRAE Transactions; vol. 122).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data mining 100%
  • Energy efficiency 95%
  • Electricity 88%
  • Office buildings 68%
  • Gas emissions 61%
  7 Scopus citations
• 2015

  Use of random forest algorithm to evaluate model-based EUI benchmarks from CBECS database

  Kaskhedikar, A., Reddy, T. A. & Runger, G., 2015, ASHRAE Transactions. American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE), p. 17-28 12 p. (ASHRAE Transactions; vol. 121).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Random forests 100%
  • Energy utilization 66%
  • Managers 40%
  • Benchmarking 32%
  • Linear regression 31%
  3 Scopus citations
• 2013

  An associative based approach to analyzing an online learning environment

  Azarnoush, B., Bekki, J. M., Bernstein, B. L. & Runger, G. C., 2013, ASEE Annual Conference and Exposition, Conference Proceedings.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data mining 100%
  • Availability 85%
  3 Scopus citations

• High-dimensional disease outbreak detection using tree-based ensembles

  Dávila, S., Runger, G., Tuv, E. & Pacheco, P., 2013, IIE Annual Conference and Expo 2013. Institute of Industrial Engineers, p. 2551-2560 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Public health 100%
  • Random forests 44%
  • Computational complexity 34%
  • Experiments 15%
• 2012

  Feature selection via regularized trees

  Deng, H. & Runger, G., 2012, 2012 International Joint Conference on Neural Networks, IJCNN 2012. 6252640. (Proceedings of the International Joint Conference on Neural Networks).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature extraction 100%
  • Random forests 45%
  • Classifiers 30%
  129 Scopus citations

• Rule-based methods for diagnosing out-of-control signals

  Dávila, S., Torres-Burgos, M. & Runger, G., 2012, 62nd IIE Annual Conference and Expo 2012. Institute of Industrial Engineers, p. 1506-1515 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data mining 100%
  1 Scopus citations
• 2011

  Bias of importance measures for multi-valued attributes and solutions

  Deng, H., Runger, G. & Tuv, E., 2011, Artificial Neural Networks and Machine Learning, ICANN 2011 - 21st International Conference on Artificial Neural Networks, Proceedings. PART 2 ed. p. 293-300 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6792 LNCS, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Supervised learning 100%
  • Attribute 90%
  • Sampling 66%
  • Experiments 33%
  • Predictors 29%
  94 Scopus citations

• Extracting geographic knowledge from sensor intervention data using spatial association rules

  Kondaveeti, A., Liu, H., Runger, G. & Rowe, J., 2011, ICSDM 2011 - Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services. p. 127-130 4 p. 5969018. (ICSDM 2011 - Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Association rules 100%
  • Geographic information systems 93%
  • Data mining 56%
  • Sensors 46%
  4 Scopus citations

• High-dimensional surveillance

  Dávila, S., Runger, G. & Tuv, E., 2011, Artificial Neural Networks and Machine Learning, ICANN 2011 - 21st International Conference on Artificial Neural Networks, Proceedings. PART 2 ed. p. 245-252 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6792 LNCS, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Surveillance 100%
  • Supervised learning 81%
  • Attribute 74%
  • High-dimensional 63%
  • Feature extraction 59%
  1 Scopus citations

• Image denoising with a multi-phase kernel principal component approach and an ensemble version

  Sahu, A., Runger, G. & Apley, D., 2011, 2011 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2011. 6176339. (Proceedings - Applied Imagery Pattern Recognition Workshop).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image denoising 100%
  • Principal component analysis 80%
  • Linear algebra 35%
  • Convergence of numerical methods 35%
  • Image classification 30%
  9 Scopus citations

• Misuse of Information-theoretic dispersion measures as design complexity metrics

  Shah, J. J. & Runger, G., 2011, ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011. p. 395-404 10 p. (Proceedings of the ASME Design Engineering Technical Conference; vol. 9).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Metric 100%
  • Design 93%
  • Information theory 58%
  • Object 51%
  • Information Content 50%
  9 Scopus citations

• Target-aware anomaly detection and diagnosis

  Borisov, A., Runger, G. & Tuv, E., Sep 14 2011, ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics. p. 14-23 10 p. (ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Anomaly detection 100%
  • Process control 88%
  • Data streams 32%
  • Nonlinear systems 27%
  • Data structures 26%
  1 Scopus citations
• 2010

  Border security: Supplementing human intelligence in a sensor network using sequential pattern mining

  Kondaveeti, A., Runger, G., Rowe, J. & Liu, H., 2010, 2010 3rd International Conference on Human-Centric Computing, HumanCom 2010. 5563322. (2010 3rd International Conference on Human-Centric Computing, HumanCom 2010).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sequential Patterns 100%
  • Sensor Networks 78%
  • Intelligence 76%
  • Mining 69%
  • Human 50%
• 2009

  Contributor diagnostics for anomaly detection

  Borisov, A., Runger, G. & Tuv, E., 2009, Artificial Neural Networks - ICANN 2009 - 19th International Conference, Proceedings. PART 2 ed. p. 944-953 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5769 LNCS, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Anomaly Detection 100%
  • Anomaly 74%
  • Anomaly detection 66%
  • Data streams 65%
  • Diagnostics 64%

• Supervised multivariate discretization in mixed data with random forests

  Berrado, A. & Runger, G., 2009, 2009 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2009. p. 211-217 7 p. 5069327. (2009 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2009).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Mixed Data 100%
  • Random Forest 98%
  • Random forests 71%
  • Attribute 51%
  • Discretization 50%
  12 Scopus citations

• Zero-inflated boosted ensembles for rare event counts

  Borisov, A., Runger, G., Tuv, E. & Lurponglukana-Strand, N., 2009, Advances in Intelligent Data Analysis VIII - 8th International Symposium on Intelligent Data Analysis, IDA 2009, Proceedings. p. 225-236 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5772 LCNS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Rare Events 100%
  • Ensemble 79%
  • Count 69%
  • Poisson distribution 55%
  • Supervised learning 42%
  2 Scopus citations
• 2008

  Clustering massive categorical data with class association rules

  Berrado, A. & Runger, G., 2008, 2008 International Conference on Innovations in Information Technology, IIT 2008. p. 223-227 5 p. 4781693. (2008 International Conference on Innovations in Information Technology, IIT 2008).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Association rules 100%
  • Clustering algorithms 41%
  • Set theory 29%
  4 Scopus citations
• 2007

  Change-point detection with supervised learning and feature selection

  Eruhimov, V., Martyanov, V., Tuv, E. & Runger, G., 2007, ICINCO 2007 - 4th International Conference on Informatics in Control, Automation and Robotics, Proceedings. Vol. ICSO. p. 359-363 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Supervised learning 100%
  • Feature extraction 72%
  • Data streams 47%
• 2003

  Case-based reasoning for engineering statistics

  Runger, G., Brem, S., Hubele, N., Rotante, T. & Kennedy, K., 2003, ASEE Annual Conference Proceedings. p. 9433-9442 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Case based reasoning 100%
  • Statistics 63%
  • Students 62%
  • Intelligent systems 34%
  • Scaffolds 20%
  2 Scopus citations

• Learning patterns through artificial contrasts with application to process control

  Tuv, E. & Runger, G., 2003, Fourth International Conference on Data Mining, Data Mining IV. Ebecken, N. F. F. E., Brebbia, C. A. & Zanasi, A. (eds.). WITPress, Vol. 7. p. 63-72 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Unsupervised Learning 100%
  • Outliers 76%
  • Unsupervised learning 64%
  • Process control 52%
  • Fault Detection 48%
  2 Scopus citations
• 2000

  Plan Performance Assessment under Uncertainty for Command and Control

  Ye, N., Nguyen, V. & Runger, G. C., 2000, 15th International Conference on Computers and Their Applications 2000, CATA 2000. Shin, S. Y. (ed.). The International Society for Computers and Their Applications (ISCA), p. 354-357 4 p. (15th International Conference on Computers and Their Applications 2000, CATA 2000).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Uncertainty 100%
  • Monitoring 89%
  • Air 87%
  • Process planning 64%
  • Scheduling 36%
• 1997

  Evaluating the effectiveness of the fine-tuned learning enhancement to backpropagation

  Coy, S. P., Golden, B. L., Wasil, E. A. & Runger, G., 1997, Intelligent Engineering Systems Through Artificial Neural Networks. Fairfield, NJ, United States: ASME, Vol. 7. p. 105-111 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Backpropagation 100%
  • Testing 18%
  1 Scopus citations
• 1993

  Controlling the transient stage of a manufacturing process

  Shao, Y. E., Haddock, J., Runger, G. & Wallace, W. A., 1993, Proceedings of the Industrial Engineering Research Conference. Mitta, D. A., Burke, L. I., English, J. R., Gallimore, J., Klutke, G-A. & Tonkay, G. L. (eds.). Publ by IIE, p. 739-743 5 p. (Proceedings of the Industrial Engineering Research Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feedforward control 100%
  • Feedback control 75%
  3 Scopus citations

• The threshold bootstrap: A new approach to simulation output analysis

  Kim, Y. B., Willemain, T. R., Haddock, J. & Runger, G. C., Dec 1 1993, Proceedings of the 25th Conference on Winter Simulation, WSC 1993. Biles, W. E., Evans, G. W., Russell, E. C. & Mollaghasemi, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 498-502 5 p. (Proceedings - Winter Simulation Conference; vol. Part F129590).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • White noise 100%
  • Discrete event simulation 98%
  • Bootstrap 85%
  • Output 68%
  • Simulation 57%

• Threshold bootstrap: a new approach to simulation output analysis

  Kim, Y. B., Willemain, T. R., Haddock, J. & Runger, G. C., Dec 1 1993, Winter Simulation Conference Proceedings. Evans, G. W., Mollaghasemi, M., Russell, E. C. & Biles, W. E. (eds.). Publ by IEEE, p. 498-502 5 p. (Winter Simulation Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • White noise 100%
  • Discrete event simulation 98%
  • Bootstrap 85%
  • Output 68%
  • Simulation 57%
  7 Scopus citations
• 1989

  Theory to optimize the detection and measurement of EMI signals

  Southwick, R. & Runger, G., 1989, IEEE 1989 Natl Symp Electromagn Compat. Anon (ed.). Piscataway, NJ, United States: Publ by IEEE, p. 12-15 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Signal interference 100%
  • Spectrum analyzers 32%
  • Random variables 24%
  • Detectors 18%
  1 Scopus citations