Cem İyigün

E-mail

iyigun@metu.edu.tr

Department

Department of Industrial Engineering

ORCID

0000-0002-2845-224X

Scopus Author ID

24366685600

Web of Science Researcher ID

ABA-2129-2020

Potential-based reward shaping using state–space segmentation for efficiency in reinforcement learning Bal, Melis İlayda; Aydın, Hüseyin; İyigün, Cem; Polat, Faruk (2024-08-01) Reinforcement Learning (RL) algorithms encounter slow learning in environments with sparse explicit reward structures due to the limited feedback available on the agent's behavior. This problem is exacerbated particularly ...
Mixed Integer Programming and Heuristics Approaches for Clustering with Local Feature Selection İyigün, Cem (2024-07-24)
Population-based exploration in reinforcement learning through repulsive reward shaping using eligibility traces Bal, Melis Ilayda; İyigün, Cem; Polat, Faruk; Aydın, Hüseyin (2024-01-01) Efficient exploration plays a key role in accelerating the learning performance and sample efficiency of reinforcement learning tasks. In this paper we propose a framework that serves as a population-based repulsive reward...
Intelligent Pricing with Clarity: Interpretable AI for Customer-Centric Time Deposit Interest Rates Imece, Salih; Hamza Gundog, Bugra; Koroglu, Bilge; İyigün, Cem (2024-01-01) Time deposits represent a savings account type where customers place their funds for a designated period. The process of determining interest rates tailored to individual customer-specific time-deposit contracts presents a...
Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies İyigün, Cem; Aydın Son, Yeşim (2024-01-01) BackgroundNon-linear relationships at the genotype level are essential in understanding the genetic interactions of complex disease traits. Genome-wide association Studies (GWAS) have revealed statistical association of th...
An analysis of ambulance location problem from an equity perspective Akdogan, M. Altan; Bayındır, Zeynep Pelin; İyigün, Cem (2023-12-01) In this paper, we study the Emergency Medical Services (EMS) vehicle location problem from an equity perspective. We construct several mathematical programming models using a set of objective functions and constraints comm...
Crowd-aware Thresholded Loss for Object Detection in Wide Area Motion Imagery Hatipoglu, Poyraz Umut; İyigün, Cem; KALKAN, SİNAN (2023-01-01) Detecting objects in Wide Area Motion Imagery (WAMI), an essential task for many practical applications, is particularly challenging in crowded scenes, such as areas with heavy traffic, since pixel resolutions of objects a...
Ağaç Yapılı Verilerde Temel Bileşen Analizi Durak, Erdinç; Tural, Mustafa Kemal; İyigün, Cem (2021-07-05)
An evaluation of a novel approach for clustering genes with dissimilar replicates Cinar, Ozan; İyigün, Cem; İlk Dağ, Özlem (Informa UK Limited, 2020-12-01) Clustering the genes is a step in microarray studies which demands several considerations. First, the expression levels can be collected as time-series which should be accounted for appropriately. Furthermore, genes may be...
Mixed integer programming and heuristics approaches for clustering with cluster-based feature selection İyigün, Cem (null; 2019-10-20) In this study, we work on a clustering problem where it is assumed that the features identifying the clusters may differ for each cluster. Number of clusters and number of relevant features in each cluster are given in adv...

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