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2020 – today
- 2023
[j7]Özden Gür Ali, Emrah Yilmaz:
When do Risky Substitutions Improve Match Outcomes? Interpreting Causal Machine Learning Models for Insights. IEEE Access 11: 131351-131361 (2023)- 2022
- [j6]Özden Gür Ali:
Targeting resources efficiently and justifiably by combining causal machine learning and theory. Frontiers Artif. Intell. 5 (2022)
2010 – 2019
- 2019
- [c2]Angi Nazih Ghanem, Özden Gür Ali:
Evaluating Average and Heterogeneous Treatment Effects In Light of Domain Knowledge: Impact of Behaviors on Disease Prevalence. CBMS 2019: 423-428 - 2017
- [j5]Özden Gür Ali, Yalçin Akçay
, Serdar Sayman, Emrah Yilmaz, M. Hamdi Özçelik:
Cross-Selling Investment Products with a Win-Win Perspective in Portfolio Optimization. Oper. Res. 65(1): 55-74 (2017) - 2014
- [j4]Özden Gür Ali, Umut Aritürk:
Dynamic churn prediction framework with more effective use of rare event data: The case of private banking. Expert Syst. Appl. 41(17): 7889-7903 (2014) - 2013
- [j3]Özden Gür Ali, Kübra Yaman:
Selecting rows and columns for training support vector regression models with large retail datasets. Eur. J. Oper. Res. 226(3): 471-480 (2013) - [j2]Özden Gür Ali:
Driver moderator Method for Retail Sales Prediction. Int. J. Inf. Technol. Decis. Mak. 12(6): 1261-1286 (2013)
2000 – 2009
- 2009
- [j1]Özden Gür Ali, Serpil Sayin, Tom Van Woensel, Jan Fransoo:
SKU demand forecasting in the presence of promotions. Expert Syst. Appl. 36(10): 12340-12348 (2009) - [c1]Özden Gür Ali:
Driver-Moderator Method for SKU Sales Forecasting. DMM@ICDM 2009: 1-9
Coauthor Index
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