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Davood Pirayesh Neghab
Davood Pirayesh Neghab
Toronto Metropolitan University
torontomu.ca üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
272022
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
82022
State-dependent asset allocation using neural networks
R Bradrania, D Pirayesh Neghab
The European Journal of Finance 28 (11), 1130-1156, 2022
32022
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
22023
Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning
DP Neghab, M Cevik, MIM Wahab
arXiv preprint arXiv:2303.16149, 2023
12023
Partially observable Markov chain models for evaluating lung cancer screening policies
N Prayogo, D Pirayesh Neghab, S Mahbub Rafayal, M Cevik
Proceedings of the 32nd Annual International Conference on Computer Science …, 2022
12022
ESG-based Index Tracking with Portfolio Policy
D Pirayesh Neghab, M Moradi, M Cevik, R Bradrania
Available at SSRN 4783070, 2024
2024
Game‐theoretic approaches to product introduction strategies for durable products
D Pirayesh Neghab, J Restrepo Diaz, M Cevik, MIM Wahab
Managerial and Decision Economics, 2024
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
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
2023
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Makaleler 1–10