Grants per year
Personal profile
Education/Academic qualification
Industrial Engineering, PhD, Georgia Institute of Technology
… → 1999
Applied Mathematics, BS, University of Ljubljana
… → 1994
Research interests keywords
- Machine learning and artificial intelligence - text analytics, deep learning, optimization
- Transportation
- Finance
- Bioinformatics
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Dive into the research topics where Diego Klabjan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Neonatal Facial Coding for Pain Recognition Monitoring System (PRAMS)
Klabjan, D. (PD/PI)
Ann & Robert H. Lurie Children’s Hospital of Chicago, National Science Foundation
9/15/23 → 8/31/27
Project: Research project
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Agile Manufacturing Systems
Klabjan, D. (PD/PI)
Semiconductor Research Corporation
6/1/19 → 12/31/22
Project: Research project
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Unsupervised Data Extraction from Graphs and Data Plots
Klabjan, D. (PD/PI)
Semiconductor Research Corporation
12/1/17 → 3/31/20
Project: Research project
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OSCM: An Operating System for Cyberphysical Manufacturing
Cao, J. (PD/PI), Ehmann, K. (Co-Investigator) & Klabjan, D. (Co-Investigator)
University of Illinois at Urbana-Champaign, Department of the Army
8/30/16 → 12/31/18
Project: Research project
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Predoctoral Training Program in Biomedical Data Driven Discovery (BD3)
Klabjan, D. (PD/PI), Starren, J. (PD/PI) & Klabjan, D. (Co-PD/PI)
9/10/15 → 8/31/21
Project: Research project
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A Primal-Dual Algorithm for Hybrid Federated Learning
Overman, T., Blum, G. & Klabjan, D., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 13, p. 14482-14489 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Scopus citations -
Corrigendum to “An inverse classification framework with limited budget and maximum number of perturbed samples” (Expert Systems With Applications (2023) 212, (S0957417422017791), (10.1016/j.eswa.2022.118761))
Koo, J., Klabjan, D. & Utke, J., Nov 15 2024, In: Expert Systems with Applications. 254, 124629.Research output: Contribution to journal › Comment/debate › peer-review
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An inverse classification framework with limited budget and maximum number of perturbed samples
Koo, J., Klabjan, D. & Utke, J., Feb 2023, In: Expert Systems with Applications. 212, 118761.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A Policy for Early Sequence Classification
Cao, A., Utke, J. & Klabjan, D., 2023, Artificial Neural Networks and Machine Learning – ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Proceedings. Iliadis, L., Papaleonidas, A., Angelov, P. & Jayne, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 50-61 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14254 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification
Ger, S., Jambunath, Y. S. & Klabjan, D., 2023, Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023. He, J., Palpanas, T., Hu, X., Cuzzocrea, A., Dou, D., Slezak, D., Wang, W., Gruca, A., Lin, J.C.-W. & Agrawal, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1101-1108 8 p. (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access