2 citations · 3 across the 5 of their papers we have counts for
5 papers
An Enhanced Approximate Dynamic Programming Approach to On-demand Ride Pooling
Arash Dehghan, Mucahit Cevik, Merve Bodur
Ride-pooling services have been growing in popularity, increasing the need for efficient and effective operations. The main goal of ride-pooling services is to maximize the number…
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs
Garima Malik, Mucahit Cevik, Ayşe Başar
This paper explores the use of text data augmentation techniques to enhance conflict and duplicate detection in software engineering tasks through sentence pair classification. The…
Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning
Davood Pirayesh Neghab, Mucahit Cevik, M. I. M. Wahab
The complexity and ambiguity of financial and economic systems, along with frequent changes in the economic environment, have made it difficult to make precise predictions that are…
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…
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…