62 citations · 107 across the 26 of their papers we have counts for
9 papers · 1 filter
VARGAN: Variance Enforcing Network Enhanced GAN
Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
Generative adversarial networks (GANs) are one of the most widely used generative models. GANs can learn complex multi-modal distributions, and generate real-like samples. Despite…
Text Classification for Predicting Multi-level Product Categories
Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik +4
In an online shopping platform, a detailed classification of the products facilitates user navigation. It also helps online retailers keep track of the price fluctuations in a cert…
Word-level Text Highlighting of Medical Texts for Telehealth Services
Ozan Ozyegen, Devika Kabe, Mucahit Cevik
The medical domain is often subject to information overload. The digitization of healthcare, constant updates to online medical repositories, and increasing availability of biomedi…
DABT: A Dependency-aware Bug Triaging Method
Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik +1
In software engineering practice, fixing a bug promptly reduces the associated costs. On the other hand, the manual bug fixing process can be time-consuming, cumbersome, and error-…
Predicting the Number of Reported Bugs in a Software Repository
Hadi Jahanshahi, Mucahit Cevik, Ayşe Başar
The bug growth pattern prediction is a complicated, unrelieved task, which needs considerable attention. Advance knowledge of the likely number of bugs discovered in the software s…
Auto Response Generation in Online Medical Chat Services
Hadi Jahanshahi, Syed Kazmi, Mucahit Cevik
Telehealth helps to facilitate access to medical professionals by enabling remote medical services for the patients. These services have become gradually popular over the years wit…
A Deep Reinforcement Learning Approach for the Meal Delivery Problem
Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik +5
We consider a meal delivery service fulfilling dynamic customer requests given a set of couriers over the course of a day. A courier's duty is to pick-up an order from a restaurant…
Does chronology matter in JIT defect prediction? A Partial Replication Study
Hadi Jahanshahi, Dhanya Jothimani, Ayşe Başar +1
Just-In-Time (JIT) models detect the fix-inducing changes (or defect-inducing changes). These models are designed based on the assumption that past code change properties are simil…
Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study
Hadi Jahanshahi, Mucahit Cevik, Ayşe Başar
Software defect prediction heavily relies on the metrics collected from software projects. Earlier studies often used machine learning techniques to build, validate, and improve bu…