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Lect.univ.dr. Darie Moldovan
Strada Teodor Mihali, Nr. 58-60
Campus FSEGA
400591, Cluj-Napoca, Romania
Tel: +40 264 418 652/3/4/5
Fax: +40 264 412 570
Int: 5896
Birou: 451
E-mail:
darie.moldovan 
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| Interes de cercetare predare |
Prescriptive and predictive analytics
Uplift modeling and causal inference
Cost-sensitive and explainable AI for decision support
Deep learning for causal reasoning and behavioral modeling
Human–AI collaboration and agentic AI workflows |
| Publicatii (top 5) |
Devriendt, F., Moldovan, D., & Verbeke, W. (2018). A literature survey and experimental evaluation of the state-of-the-art in uplift modeling: A stepping stone toward the development of prescriptive analytics. Big data, 6(1), 13-41.
Petrides, G., Moldovan, D., Coenen, L., Guns, T., & Verbeke, W. (2022). Cost-sensitive learning for profit-driven credit scoring. Journal of the Operational Research Society, 73(2), 338-350.
Moldovan, D. (2023). Algorithmic decision making methods for fair credit scoring. IEEE Access, 11, 59729-59743.
Belbe, Ș., Moldovan, D., Andrieș, A. M., Otto, P., & Mare, C. (2024). Evaluation of the space-time effects of Covid-19 on household loans and savings in Romania-A spatial panel data approach at county level. Emerging Markets Review, 63, 101209.
Moldovan, D. (2025). A majority voting framework for reliable sentiment analysis of product reviews. PeerJ Computer Science, 11, e2738. |
Data Mining si Simulare
Utilizarea Excel si VBA in Finante
Metode Computationale Inteligente
Inteligenta Artificiala
Sisteme Informatice de Asistare a Deciziilor |
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