Davood Pirayesh Neghab

According to our database, Davood Pirayesh Neghab authored at least 6 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A multi-objective constrained partially observable Markov decision process model for breast cancer screening.

Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik, Davood Pirayesh Neghab

Oper. Res., 2023

Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning.

Davood Pirayesh Neghab, Mucahit Cevik, M. I. M. Wahab

CoRR, 2023

Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques.

Davood Pirayesh Neghab, Mucahit Cevik, Ayse Basar

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

An integrated data-driven method using deep learning for a newsvendor problem with unobservable features.

Davood Pirayesh Neghab, Siamak Khayyati, Fikri Karaesmen

Eur. J. Oper. Res., 2022

A multi-objective constrained POMDP model for breast cancer screening.

Can Kavaklioglu, Mucahit Cevik, Robert Helmeczi, Davood Pirayesh Neghab

CoRR, 2022

Partially Observable Markov Chain Models for Evaluating Lung Cancer Screening Policies.

Nicholas Prayogo, Davood Pirayesh Neghab, Syed Mahbub Rafayal, Mucahit Cevik

Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022