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
Grants
- 15 Finished
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Agile Manufacturing Systems
Semiconductor Research Corporation
6/1/19 → 12/31/22
Project: Research project
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Unsupervised Data Extraction from Graphs and Data Plots
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., Ehmann, K. & Klabjan, D.
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., Starren, J. & Klabjan, D.
9/10/15 → 8/31/21
Project: Research project
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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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Early Classifying Multimodal Sequences
Cao, A., Utke, J. & Klabjan, D., Oct 9 2023, ICMI 2023 - Proceedings of the 25th International Conference on Multimodal Interaction. Association for Computing Machinery, p. 183-189 7 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Efficient Architecture Search for Continual Learning
Gao, Q., Luo, Z., Klabjan, D. & Zhang, F., Nov 1 2023, In: IEEE Transactions on Neural Networks and Learning Systems. 34, 11, p. 8555-8565 11 p.Research output: Contribution to journal › Article › peer-review
12 Scopus citations -
Gradient-Boosted Based Structured and Unstructured Learning
Treviño Gavito, A., Klabjan, D. & Utke, J., 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. 439-451 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14256 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution