activity
20202023
most citedA Deep Reinforcement Learning Approach for the Meal Delivery Problem

62 citations · 85 across the 17 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.SE2022

ADPTriage: Approximate Dynamic Programming for Bug Triage

Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi +1

Bug triaging is a critical task in any software development project. It entails triagers going over a list of open bugs, deciding whether each is required to be addressed, and, if…

cs.LG2022★ 1 cited

Interpretable Time Series Clustering Using Local Explanations

Ozan Ozyegen, Nicholas Prayogo, Mucahit Cevik +1

This study focuses on exploring the use of local interpretability methods for explaining time series clustering models. Many of the state-of-the-art clustering models are not direc…

eess.IV2022

Improved -GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning

Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar

Generative Adversarial Networks (GANs) have gained significant attention in several computer vision tasks for generating high-quality synthetic data. Various medical applications i…

cs.SE2022★ 3 cited

Supervised Semantic Similarity-based Conflict Detection Algorithm: S3CDA

Garima Malik, Mucahit Cevik, Ayse Basar +1

Identifying conflicting requirements is a key challenge in software requirement engineering, often overlooked in automated solutions. Most existing approaches rely on handcrafted r…

cs.LG2022★ 2 cited

Time Series Clustering for Grouping Products Based on Price and Sales Patterns

Aysun Bozanta, Sean Berry, Mucahit Cevik +4

Developing technology and changing lifestyles have made online grocery delivery applications an indispensable part of urban life. Since the beginning of the COVID-19 pandemic, the…