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Diego Klabjan

  • 1883 Citations
19982022

Research output per year

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Personal profile

Education/Academic qualification

Industrial Engineering, PhD, Georgia Institute of Technology

… → 1999

Applied Mathematics, BS, University of Ljubljana

… → 1994

Research interests

  • Machine learning and artificial intelligence - text analytics, deep learning, optimization
  • Transportation
  • Finance
  • Bioinformatics

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Grants

Agile Manufacturing Systems

Klabjan, D.

Semiconductor Research Corporation

6/1/19 → 5/31/22

Project: Research project

    • Predoctoral Training Program in Biomedical Data Driven Discovery (BD3)

    Klabjan, D. & Starren, J. B.

    National Library of Medicine

    9/10/15 → 9/9/20

    Project: Research project

    • NRT-DESE: Training in Data-Driven Discovery - From the Earth and the Universe to the Successful Careers of the Future

    Downey, D. C., Kalogera, V., Katsaggelos, A. K., Klabjan, D., Luijten, E., Schmitt, M. H. & van der Lee, S.

    National Science Foundation

    4/1/15 → 3/31/21

    Project: Research project

    • Unsupervised Data Extraction from Graphs and Data Plots

    Klabjan, D.

    Semiconductor Research Corporation

    12/1/17 → 3/31/20

    Project: Research project

    • OSCM: An Operating System for Cyberphysical Manufacturing

    Cao, J., Ehmann, K. & Klabjan, D.

    University of Illinois at Urbana-Champaign, Department of the Army

    8/30/16 → 12/31/18

    Project: Research project

    • Research Output

    A Team Based Player Versus Player Recommender Systems Framework for Player Improvement

    Joshi, R., Gupta, V., Li, X., Cui, Y., Wang, Z., Ravari, Y. N., Klabjan, D., Sifa, R., Parsaeian, A., Drachen, A. & Demediuk, S., Jan 29 2019, Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2019. Association for Computing Machinery, a45. (ACM International Conference Proceeding Series).

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

    • Online adaptive machine learning based algorithm for implied volatility surface modeling

    Zeng, Y. & Klabjan, D., Jan 1 2019, In : Knowledge-Based Systems. 163, p. 376-391 16 p.

    Research output: Contribution to journal › Article

    • 2 Scopus citations

    Predicting ICU readmission using grouped physiological and medication trends

    Xue, Y., Klabjan, D. & Luo, Y., Apr 1 2019, In : Artificial Intelligence In Medicine. 95, p. 27-37 11 p.

    Research output: Contribution to journal › Article

    • 6 Scopus citations

    Semi-Supervised Learning for Discrete Choice Models

    Yang, J., Shebalov, S. & Klabjan, DI., Nov 2019, In : IEEE Transactions on Intelligent Transportation Systems. 20, 11, p. 4145-4159 15 p., 8574052.

    Research output: Contribution to journal › Article

    • The trails of Just Cause 2: Spatio-temporal player profiling in open-world games

    Aung, M., Demediuk, S., Sun, Y., Tu, Y., Ang, Y., Nekkanti, S., Raghav, S., Klabjan, D., Sifa, R. & Drachen, A., Aug 26 2019, Proceedings of the 14th International Conference on the Foundations of Digital Games, FDG 2019. Khosmood, F., Pirker, J., Apperley, T. & Deterding, S. (eds.). Association for Computing Machinery, 41. (ACM International Conference Proceeding Series).

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

    Open Access