no code implementations • 26 Dec 2023 • Arash Dehghan, Mucahit Cevik, Merve Bodur
This paper explores the integration of Automated Guided Vehicles (AGVs) in warehouse order picking, a crucial and cost-intensive aspect of warehouse operations.
no code implementations • 21 Nov 2023 • Arash Dehghan, Mucahit Cevik, Merve Bodur
Our work aims to enhance the operational efficiency of SDD by focusing on the ultra-fast Order Dispatching Problem (ODP), which involves matching and dispatching orders to couriers within a centralized warehouse setting, and completing the delivery within a strict timeline (e. g., within minutes).
no code implementations • 4 Aug 2023 • Mucahit Cevik, Can Kavaklioglu, Fahad Razak, Amol Verma, Ayse Basar
Accurately predicting hospital length-of-stay at the time a patient is admitted to hospital may help guide clinical decision making and resource allocation.
no code implementations • 16 May 2023 • 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.
no code implementations • 23 Mar 2023 • Davood Pirayesh Neghab, Mucahit Cevik, M. I. M. Wahab
The changes in the sign and magnitude of the contributions of crude oil to the exchange rate are consistent with significant events in the commodity and energy markets and the evolution of the crude oil trend in Canada.
no code implementations • 9 Jan 2023 • Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener, Devang Parikh
We formulate the conflict and duplicate detection problem as a requirement pair classification task.
no code implementations • 5 Jan 2023 • Ozan Ozyegen, Juyoung Wang, Mucahit Cevik
Despite the high performance of neural network-based time series forecasting methods, the inherent challenge in explaining their predictions has limited their applicability in certain application areas.
no code implementations • 2 Jan 2023 • Syed Kazmi, Berk Gorgulu, Mucahit Cevik, Mustafa Gokce Baydogan
One approach to remedy this challenge is to utilize weather information from multiple points across a geographical grid to obtain a holistic view of the wind patterns, along with temporal information from the previous power outputs of the wind farms.
1 code implementation • 2 Nov 2022 • Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi, Ayşe Başar
In this study, we develop a Markov decision process (MDP) model for an online bug triage task.
no code implementations • 5 Oct 2022 • Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim
Abbreviations are unavoidable yet critical parts of the medical text.
no code implementations • 1 Aug 2022 • Ozan Ozyegen, Nicholas Prayogo, Mucahit Cevik, Ayse Basar
The explanations are used to obtain insights into the clustering models.
no code implementations • 13 Jul 2022 • Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
On a synthetic dataset of connected 3D spheres and ellipsoids, our model can generate fully connected 3D shapes with similar geometrical characteristics to that of training data.
no code implementations • 28 Jun 2022 • Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik
Finally, the flexibility of LP-based approaches is demonstrated by applying deterministic policy constraints, and a detailed investigation into their impact on rewards and CPU run time is provided.
no code implementations • 10 Jun 2022 • Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik, Davood Pirayesh Neghab
While most countries have large-scale screening programs, there is no consensus on a single globally accepted guideline for breast cancer screening.
no code implementations • 18 Apr 2022 • Aysun Bozanta, Sean Berry, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayşe Başar
We compare our approach with traditional clustering algorithms, which typically rely on generic distance metrics such as Euclidean distance, and image clustering approaches that aim to group data by capturing its visual patterns.
1 code implementation • 12 Apr 2022 • Hadi Jahanshahi, Mucahit Cevik
We further incorporate the schedule of developers in our formulation to have a more comprehensive model for this multifaceted problem.
no code implementations • 5 Sep 2021 • Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
Generative adversarial networks (GANs) are one of the most widely used generative models.
no code implementations • 2 Sep 2021 • Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayşe Başar
In our experiments, we investigate the generalizability of the trained models to the products of other online retailers, the dynamic masking of infeasible subcategories for pretrained language models, and the benefits of incorporating product titles in multiple languages.
no code implementations • 21 May 2021 • Ozan Ozyegen, Devika Kabe, Mucahit Cevik
The first method uses TF-IDF scores directly to highlight important parts of the text.
1 code implementation • 26 Apr 2021 • Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik, Ayşe Başar
In software engineering practice, fixing a bug promptly reduces the associated costs.
no code implementations • 26 Apr 2021 • Hadi Jahanshahi, Syed Kazmi, Mucahit Cevik
These services have become gradually popular over the years with the advent of necessary technological infrastructure.
no code implementations • 24 Apr 2021 • Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayşe Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayşe Başar
We consider a meal delivery service fulfilling dynamic customer requests given a set of couriers over the course of a day.
1 code implementation • 24 Apr 2021 • Hadi Jahanshahi, Mucahit Cevik, Ayşe Başar
We observe that LSTM is effective when considering long-run predictions whereas Random Forest Regressor enriched by exogenous variables performs better for predicting the number of bugs in the short term.
no code implementations • 5 Mar 2021 • Hadi Jahanshahi, Mucahit Cevik, Ayşe Başar
Our main goal is to extend prior research and explore the feasibility of HDP and finally to compare its performance with that of its predecessor, Cross-Project Defect Prediction.
1 code implementation • 5 Mar 2021 • Hadi Jahanshahi, Dhanya Jothimani, Ayşe Başar, Mucahit Cevik
In this work, we aim to investigate the effect of code change properties on JIT models over time.
no code implementations • 18 Sep 2020 • Igor Ilic, Berk Gorgulu, Mucahit Cevik, Mustafa Gokce Baydogan
We observe that EBLR substantially improves the base model performance through extracted features, and provide a comparable performance to other well established approaches.
no code implementations • 18 Sep 2020 • Ozan Ozyegen, Igor Ilic, Mucahit Cevik
In this study, we propose two novel evaluation metrics for time series forecasting: Area Over the Perturbation Curve for Regression and Ablation Percentage Threshold.
BIG-bench Machine Learning Multivariate Time Series Forecasting +2
no code implementations • 16 Jun 2020 • Ozan Ozyegen, Sanaz Mohammadjafari, Karim El mokhtari, Mucahit Cevik, Jonathan Ethier, Ayse Basar
We compare deep learning-based prediction models including RadioUNET and four different variations of the UNET model for the power prediction task.