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Davood Pirayesh Neghab
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2020 – today
- 2023
- [j2]Robert K. Helmeczi, Can Kavaklioglu
, Mucahit Cevik
, Davood Pirayesh Neghab:
A multi-objective constrained partially observable Markov decision process model for breast cancer screening. Oper. Res. 23(2): 30 (2023) - [c2]Davood Pirayesh Neghab, Mucahit Cevik, Ayse Basar:
Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques. Canadian AI 2023 - [i2]Davood Pirayesh Neghab, Mucahit Cevik, M. I. M. Wahab:
Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning. CoRR abs/2303.16149 (2023) - 2022
- [j1]Davood Pirayesh Neghab, Siamak Khayyati
, Fikri Karaesmen
:
An integrated data-driven method using deep learning for a newsvendor problem with unobservable features. Eur. J. Oper. Res. 302(2): 482-496 (2022) - [c1]Nicholas Prayogo, Davood Pirayesh Neghab, Syed Mahbub Rafayal, Mucahit Cevik:
Partially Observable Markov Chain Models for Evaluating Lung Cancer Screening Policies. CASCON 2022: 81-90 - [i1]Can Kavaklioglu, Mucahit Cevik, Robert Helmeczi, Davood Pirayesh Neghab:
A multi-objective constrained POMDP model for breast cancer screening. CoRR abs/2206.05370 (2022)
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last updated on 2024-04-24 23:15 CEST by the dblp team
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