RESEARCH ARTICLES IN JOURNALS
When do Risky Substitutions Improve Match Outcomes? Interpreting Causal Machine Learning Models for Insights, Gur Ali, O. and E. Yilmaz, IEEE Access, 2023.
Personalized choice model for forecasting with pricing scenarios and observational data – the case of attended home delivery , Ö Gür Ali, P Amorim, International Journal of Forecasting, 40(2), 706-720, 2024
Targeting resources efficiently and justifiably by combining causal machine learning and theory , Ö Gür Ali, Women in AI in Business 2022, Frontiers in Artificial Intelligence, 2022
Estimating the impact of behavioral public health interventions nationally while maintaining agreement with global patterns on relative risks , Ö Gür Ali, A Ghanem, B Üstün, PLOS ONE, 2020
Automatic Interpretable Retail Forecasting (FAIR) with Promotional Scenarios”, Ö Gür Ali and R Gürlek – International Journal of Forecasting,36.4: 1389-1406 2020
Cross-Selling Investment Products with a Win-Win Perspective in Portfolio Optimization ” , Ö Gür Ali, Y. Akcay, S. Sayman, Operations Research, 65(1),55-74, 2017
“Multi-Period Ahead Forecasting with Residual Extrapolation and Information Sharing – Leveraging Multitude of Retail Series ” , Ö Gür Ali, E. Pinar, International Journal of Forecasting 32 (2), 502-517, 2016.
“Dynamic Churn Prediction Framework with More Effective Use of Rare Event Data: The Case of Private Banking“, Ö Gür Ali, U. Arıtürk, Expert Systems with Applications, 41(17),7889-7903, 2014.
“Driver Moderator Method for Retail Sales Prediction“, Ö Gür Ali, International Journal of Information Technology & Decision Making, 12 (6), 1261-1286, 2013.
“Selecting Rows and Columns for Training Support Vector Regression Models with Large Retail Datasets“, Ö Gür Ali, K. Yaman, European Journal of Operational Research, Vol 266 (3), p 471-480, 2013.
“How Removing Prescription Drugs from Reimbursement Lists Increases the Pharmaceutical Expenditures for Alternatives”, Ö Gür Ali, A. B Topaler, European Journal of Health Economics, Vol 6, Issue 12, p553-62, 2011.
“Pharma rebates, pharmacy benefit managers and employer outcomes”, Health Care Management Science, Vol 13 (4), pp 281-293, 2010.
“SKU Demand Forecasting in the Presence of Promotions”, Ö. Gür Ali, S. Sayın, T. van Woensel, J. Fransoo, Expert Systems with Applications, Vol. 36 Issue 10, p12340-12348 2009.
“Design Quality and Robustness with Neural Networks“, Ö. Gür Ali, Y. Chen, in IEEE Transactions on Neural Networks, Vol 10, pp 1518-1527, 1999
“Reengineering Claims Processing Using Probabilistic Inductive Learning” R.G. Arunasalam, J.T. Richie, W. Egan, O. Gur-Ali, W.A. Wallace, IEEE Transactions on Engineering Management, Vol 46, pp 335-345, Aug 1999
“Bridging the Gap Between Business Objectives and Parameters of Data Mining Algorithms”, Ö. Gür Ali, W.A. Wallace, Decision Support Systems, Special Issue on Data Mining, Vol 21, pp 3-15, 1997
“Classifying Delinquent Customers for Credit Collections: An Application of Probabilistic Inductive Learning”, Ö. Gür Ali and W. A. Wallace in Special Issue on Uncertainty in AI, Int. Journal of Human- Computer Studies, Vol 42, pp 633-646, 1995
“Induction of Rules Subject to a Quality Constraint: Probabilistic Inductive Learning” Ö. Gür Ali and W.A. Wallace, IEEE Trans. on Knowledge and Data Engineering, Vol 5, pp979-984, 1993
“Robust Estimation Methods for Exponential data: A Monte Carlo Comparison”, T.R. Willemain, Ö. Gür Ali et al. Communications in Statistics: Simulation and Computation, 1993
CONFERENCE PROCEEDINGS
” Evaluating Average and Heterogeneous Treatment Effects In Light of Domain Knowledge: Impact of Behaviors on Disease Prevalence”, A Ghanem and Ö Gür Ali, IEEE CBMS 2019, Cordoba June 2019
“How should the employer contract with the PBM? Active Learning applied to Health Economics”, in Proceedings of the 5td INFORMS Workshop on Data Mining and Health Informatics (DM-HI 2010), Austin October 2010.
“Driver-Moderator Method for SKU Sales Forecasting”, Özden Gür Ali, in Proceedings of ICDM 2009.
“Firm-driven Substitution in the Presence of Quantity Discounts”, Ayşe Başak Çizmeci, Özden Gür Ali, in Proceedings of the 15th International Annual EurOMA Conference, June 2008.
“A New Gravity Model With Variable Distance Decay”, Müge Sandıkcıoğlu Özden Gür Ali Serpil Sayın, in Proceedings of Eur-Opt 2008, Continuous Optimization and Knowledge Based Technologies, May 2008.
“Profit Maximizing Pharmacy Decision and Pharmacy Discounts in Turkey”, B. Çavdaroğlu, Ö Gür Ali, in Proceedings of the 14th International Annual EurOMA Conference, June 2007.
“Integrating and Mining Distributed Customer Databases”, I.Haimowitz, Ö. Gür Ali, H. Schwarz, in Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97) D. Heckerman, H. Mannila, D. Pregibon (Eds.), pp 179-182, August 1997
“Quantifying Risks Involved in Recycling Plastics”, Ö. Gür Ali, R. Bopp, F. Faltin, Proceedings of the Society of Plastics Engineers 55th Annual Technical Conference ANTEC, pp3123-3127, 1997.
“Are We Losing Accuracy While Gaining Confidence In Induced Rules – An Assessment Of PrIL”, Ö. Gür Ali and W. Wallace, in Proc. First Intl. Conf. Knowledge Discovery and Data Mining (KDD-95), U. Fayyad, R. Uthurusamy (Eds.), pp 9-14, 1995
“Designing Experiments for Learning with Neural Networks”, Ö. Gür Ali, Y. Chen, A. Neff, Conference on Automated Learning and Discovery, CMU, June 1998.
PATENTS
“Method for evaluating moldability characteristics of a plastic resin in an injection molding process”, United States Patent 5,914,884, Gur Ali et al, June 22, 1999
“System and method for estimating a change point time in a manufacturing process”, United States Patent 5,841,676 Ali , et al., November 24, 1998
“Driver moderator method for retail sales prediction”, US 8738421 B1 Ozden Gur Ali., May 27, 2014
CHAPTERS
“Evaluation Techniques in Data Mining”, Ö. Gür Ali; in Encyclopedia of Statistics in Quality and Reliability, F. Ruggeri, R. Kenett, and F. W. Faltin (eds); J. Wiley & Sons, Chichester, pp 488-494, 2007 and 2015
“Practical Change Point Estimation”, Ö. Gür Ali, F.W: Faltin and N. Doganaksoy, GE Corporate Research and Development Technical Report 97CRD126, October 1997.
GRADUATE STUDENTS
Emrah Yilmaz, PhD, “Machine Learning Applications in Behavioral Analytics: Evidence from Education and Sports” (graduated 2023)
Ragıp Gürlek, PhD, “Retail Forecasting with Promotions” (transferred to Emory 2019)
Angi Ghanem, PhD, “Evaluating Intervention Impact on Burden of Disease with Observational Data” (graduated 2019)
Sadık Ödemiş, MS, “Estimating Process Simulation Errors of an Industrial Fractionator Column by Using Data-Driven Modelling Techniques” (graduated 2017)
Efe Pınar, MS, “Forecasting Retail Sales and Generating Insights with Dynamic Time Warping” (graduated 2013)
Umut Arıtürk, MS, “Improved Churn Prediction by More Effective Use of Customer Data: The Case of Private Banking Customers” (graduated 2011)
Kübra Yaman, MS, “Row and Column Selection Algorithm for SVR Model Estimation on Large Scale Business Problems” (graduated 2010)
Müge Sandıkçıoğlu, MS, “Grocery Retail Store Revenue Prediction for Store Location Evaluation Using Spatial Interaction Models” (joint advisor Serpil Sayın) (graduated 2008)
A. Başak Çizmeci, MS, “Pharmacist’s Substitution Strategy in the Presence of Manufacturer Quantity Discounts and an Empirical Study on the Cost Effects of Rx-to-OTC Switch in Turkey” (graduated 2008)
Ayşegül Tunçelli, MS, “Forecasting Simulated Retail Demand Using Statistical and Data Mining Techniques” (joint advisor Serpil Sayın) (graduated 2007)
Burak Çavdaroğlu, MS, “Pharmacy Discounts and Profit Maximizing Pharmacy and Manufacturer Decisions in Turkey” (graduated 2007)