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Diego Klabjan

  • 1709 Citations
19982022
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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

  • Deep learning
  • Finance
  • Healthcare
  • Machine learning and artificial intelligence - text analytics
  • Optimization
  • Transportation

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Costs Engineering & Materials Science
Electric vehicles Engineering & Materials Science
Integer programming Engineering & Materials Science
Lot Sizing Mathematics
Scheduling Engineering & Materials Science
Inventory control Engineering & Materials Science
Linear programming Engineering & Materials Science
Radio frequency identification (RFID) Engineering & Materials Science

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

Grants 2007 2022

Agile Manufacturing Systems

Klabjan, D.

Semiconductor Research Corporation

6/1/19 → 5/31/22

Project: Research project

Agile manufacturing systems
Industrial plants
Availability
Silicon
Steady flow

Unsupervised Data Extraction from Graphs and Data Plots

Klabjan, D.

Semiconductor Research Corporation

12/1/17 → 3/31/20

Project: Research project

Knowledge management
Planning
Industry
Deep learning

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

training program
applied science
engineering science
school
science

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 → 3/31/20

Project: Research project

student
communication
data mining
twenty first century
data management

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

Scheduling
Planning
Cellular manufacturing
Application programs
Education

Research Output 1998 2019

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

Recommender systems
Cluster analysis

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

Learning systems
Computer hardware
Sensitivity analysis
Program processors
Field programmable gate arrays (FPGA)
2 Citations (Scopus)

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

Intensive care units
Intensive Care Units
Logistic Models
Statistics
Aptitude

Competitive multi-agent inverse reinforcement learning with sub-optimal demonstrations

Wang, X. & Klabjan, D., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), Vol. 11. p. 8148-8175 28 p.

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

Reinforcement learning
Demonstrations
Learning algorithms
Experiments
5 Citations (Scopus)

Controlling the crucible: A novel PvP recommender systems framework for destiny

Sifa, R., Pawlakos, E., Zhai, K., Haran, S., Jha, R., Klabjan, D. & Drachen, A., Jan 29 2018, Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2018. Association for Computing Machinery, 3167926. (ACM International Conference Proceeding Series).

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

Information filtering
Recommender systems
Crucibles
Decision making