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Dive into the research topics where Farzaneh Darbanian 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
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LOG-JRC PREVAIL - PREdictive VAlue network InteLligence
Brandtner, P. (PI), Petschnik, E. (CoI), Traxler, R. (CoI), Nasseri, M. (CoI), Mirshahi, S. (CoI), Falatouri, T. (CoI), Darbanian, F. (CoI) & Fischer, T. M. (CoI)
01.01.2023 → 31.12.2027
Project: Research Project
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Predictive Service and Maintenance
Brandtner, P. (PI), Darbanian, F. (PI), Falatouri, T. (PI) & Nasseri, M. (PI)
01.10.2021 → 31.12.2022
Project: Research Project
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NEXT: patterN rEcognition and eXtended value network foresighT
Brandtner, P. (PI), Darbanian, F. (PI), Falatouri, T. (PI), Nasseri, M. (PI), Udokwu, C. J. (PI) & Obinwanne, T. M. (PI)
01.01.2019 → 31.12.2022
Project: Research Project
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Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review
Darbanian, F., Brandtner, P., Falatouri, T. & Nasseri, M., 2024, In: Operations and Supply Chain Management. 17, 1, p. 1-31 31 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Ridesharing as a part of modal shift: An Austrian Pilot case study.
Juppe, M., Darbanian, F., Schildorfer, W. & Tockner, R., 15 Jul 2024.Research output: Contribution to conference › Paper › peer-review
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Service quality dimensions in Austrian food retailing – a text mining approach for physical retail stores
Falatouri, T., Brandtner, P., Nasseri, M. & Darbanian, F., 2024, In: International Review of Retail, Distribution and Consumer Research. p. 1-36Research output: Contribution to journal › Article › peer-review
Open Access -
Applications of Large Language Models (LLMs) in Business Analytics – Exemplary Use Cases in Data Preparation Tasks
Nasseri, M., Brandtner, P., Zimmermann, R., Falatouri, T., Darbanian, F. & Obinwanne, T., 2023, HCI International 2023 – Late Breaking Papers - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. Degen, H., Ntoa, S. & Moallem, A. (eds.). Springer, p. 182-198 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14059 LNCS).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
8 Citations (Scopus) -
Applying Machine Learning in Retail Demand Prediction—A Comparison of Tree-Based Ensembles and Long Short-Term Memory-Based Deep Learning
Nasseri, M., Falatouri, T., Brandtner, P. & Darbanian, F., Oct 2023, In: Applied Sciences (Switzerland). 13, 19, 11112.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus)