| An integrated data-driven method using deep learning for a newsvendor problem with unobservable features DP Neghab, S Khayyati, F Karaesmen European Journal of Operational Research 302 (2), 482-496, 2022 | 32 | 2022 |
| State-dependent stock selection in index tracking: a machine learning approach R Bradrania, D Pirayesh Neghab, M Shafizadeh Financial Markets and Portfolio Management 36 (1), 1-28, 2022 | 9 | 2022 |
| Deliberate premarket underpricing: New evidence on IPO pricing using machine learning DP Neghab, R Bradrania, R Elliott International Review of Economics & Finance 88, 902-927, 2023 | 5 | 2023 |
| State-dependent asset allocation using neural networks R Bradrania, D Pirayesh Neghab The European Journal of Finance 28 (11), 1130-1156, 2022 | 4 | 2022 |
| Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning DP Neghab, M Cevik, MIM Wahab, A Basar Computational Economics, 1-43, 2024 | 3 | 2024 |
| Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques DP Neghab, M Cevik, A Başar The 36th Canadian Conference on AI, 2023 | 1 | 2023 |
| A multi-objective constrained partially observable Markov decision process model for breast cancer screening RK Helmeczi, C Kavaklioglu, M Cevik, D Pirayesh Neghab Operational Research 23 (2), 30, 2023 | 1 | 2023 |
| Partially Observable Markov Chain Models for Evaluating Lung Cancer Screening Policies. N Prayogo, DP Neghab, SM Rafayal, M Cevik CASCON, 81-90, 2022 | 1 | 2022 |
| Game‐theoretic approaches to product introduction strategies for durable products D Pirayesh Neghab, J Restrepo Diaz, M Cevik, MIM Wahab Managerial and Decision Economics 45 (5), 2700-2726, 2024 | | 2024 |
| ESG-based Index Tracking with Portfolio Policy D Pirayesh Neghab, M Moradi, M Cevik, R Bradrania Available at SSRN 4783070, 2024 | | 2024 |
Mucahit CevikToronto Metropolitan University在 torontomu.ca 的电子邮件经过验证
