Mucahit Cevik

According to our database, Mucahit Cevik authored at least 73 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Optimizing Hard-to-Place Kidney Allocation: A Machine Learning Approach to Center Ranking.

Sean Berry, Berk Görgülü, Sait Tunç, Mucahit Cevik, Matthew J. Ellis

CoRR, 2024

2023

Sequence Labeling for Disambiguating Medical Abbreviations.

Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim

J. Heal. Informatics Res., December, 2023

Multistage stochastic fractionated intensity modulated radiation therapy planning.

Merve Bodur, Mucahit Cevik, André A. Ciré, Mark Ruschin, Juyoung Wang

Comput. Oper. Res., December, 2023

ADPTriage: Approximate Dynamic Programming for Bug Triage.

Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi, Ayse Basar

IEEE Trans. Software Eng., October, 2023

Linear programming-based solution methods for constrained partially observable Markov decision processes.

Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik

Appl. Intell., October, 2023

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

Sanaz Mohammad Jafari, Mucahit Cevik, Ayse Basar

Appl. Intell., September, 2023

A multi-objective constrained partially observable Markov decision process model for breast cancer screening.

Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik, Davood Pirayesh Neghab

Oper. Res., 2023

A Multiobjective Approach for Sector Duration Optimization in Stereotactic Radiosurgery Treatment Planning.

Oylum Seker, Mucahit Cevik, Merve Bodur, Young Lee, Mark Ruschin

INFORMS J. Comput., 2023

Dynamic AGV Task Allocation in Intelligent Warehouses.

Arash Dehghan, Mucahit Cevik, Merve Bodur

CoRR, 2023

Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem.

Arash Dehghan, Mucahit Cevik, Merve Bodur

CoRR, 2023

Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation.

Mucahit Cevik, Can Kavaklioglu, Fahad Razak, Amol A. Verma, Ayse Basar

CoRR, 2023

Few-shot learning for sentence pair classification and its applications in software engineering.

Robert Kraig Helmeczi, Mucahit Cevik, Savas Yildirim

CoRR, 2023

Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning.

Davood Pirayesh Neghab, Mucahit Cevik, M. I. M. Wahab

CoRR, 2023

Transfer learning for conflict and duplicate detection in software requirement pairs.

Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener, Devang Parikh

CoRR, 2023

DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting.

Ozan Ozyegen, Juyoung Wang, Mucahit Cevik

CoRR, 2023

A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting.

Syed Kazmi, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan

CoRR, 2023

Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data.

Savas Yildirim, Mucahit Cevik, Devang Parikh, Ayse Basar

CoRR, 2023

VARGAN: variance enforcing network enhanced GAN.

Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar

Appl. Intell., 2023

Few-shot Learning Approaches to Software Requirement Quality Prediction.

Savas Yildirim, Mucahit Cevik, Ayse Basar

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs.

Garima Malik, Mucahit Cevik, Ayse Basar

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

Anaphoric Ambiguity Resolution in Software Requirement Texts.

Sanaz Mohammad Jafari, Savas Yildirim, Mucahit Cevik, Ayse Basar

Proceedings of the IEEE International Conference on Big Data, 2023

Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques.

Davood Pirayesh Neghab, Mucahit Cevik, Ayse Basar

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

An Empirical Study on Vagueness Detection in Privacy Policy Texts.

Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

Few shot learning approaches to essay scoring.

Robert K. Helmeczi, Savas Yildirim, Mucahit Cevik, Sojin Lee

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

An Empirical Study on Using CNNs for Fast Radio Signal Prediction.

Ozan Ozyegen, Sanaz Mohammadjafari, Mucahit Cevik, Karim El Mokhtari, Jonathan Ethier, Ayse Basar

SN Comput. Sci., 2022

A deep reinforcement learning approach for the meal delivery problem.

Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar

Knowl. Based Syst., 2022

Wayback Machine: A tool to capture the evolutionary behavior of the bug reports and their triage process in open-source software systems.

Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú, Ayse Basar, Antonio González Torres

J. Syst. Softw., 2022

Auto Response Generation in Online Medical Chat Services.

Hadi Jahanshahi, Syed Kazmi, Mucahit Cevik

J. Heal. Informatics Res., 2022

Active Learning for Multi-way Sensitivity Analysis with Application to Disease Screening Modeling.

Mucahit Cevik, Sabrina Angco, Elham Heydarigharaei, Hadi Jahanshahi, Nicholas Prayogo

J. Heal. Informatics Res., 2022

S-DABT: Schedule and Dependency-aware Bug Triage in open-source bug tracking systems.

Hadi Jahanshahi, Mucahit Cevik

Inf. Softw. Technol., 2022

On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies.

Juyoung Wang, Mucahit Cevik, Merve Bodur

INFOR Inf. Syst. Oper. Res., 2022

A replication study on implicit feedback recommender systems with application to the data visualization recommendation.

Parisa Lak, Aysun Bozanta, Can Kavaklioglu, Mucahit Cevik, Ayse Basar, Martin Petitclerc, Graham J. Wills

Expert Syst. J. Knowl. Eng., 2022

Token Classification for Disambiguating Medical Abbreviations.

Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim

CoRR, 2022

Interpretable Time Series Clustering Using Local Explanations.

Ozan Ozyegen, Nicholas Prayogo, Mucahit Cevik, Ayse Basar

CoRR, 2022

Linear programming-based solution methods for constrained POMDPs.

Can Kavaklioglu, Robert Helmeczi, Mucahit Cevik

CoRR, 2022

Identifying the requirement conflicts in SRS documents using transformer-based sentence embeddings.

Garima Malik, Mucahit Cevik, Devang Parikh, Ayse Basar

CoRR, 2022

A multi-objective constrained POMDP model for breast cancer screening.

Can Kavaklioglu, Mucahit Cevik, Robert Helmeczi, Davood Pirayesh Neghab

CoRR, 2022

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

Aysun Bozanta, Sean Berry, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar

CoRR, 2022

Scalable grid-based approximation algorithms for partially observable Markov decision processes.

Can Kavaklioglu, Mucahit Cevik

Concurr. Comput. Pract. Exp., 2022

Courier routing and assignment for food delivery service using reinforcement learning.

Aysun Bozanta, Mucahit Cevik, Can Kavaklioglu, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Alper Duranel, Ayse Basar

Comput. Ind. Eng., 2022

Word-level text highlighting of medical texts for telehealth services.

Ozan Ozyegen, Devika Kabe, Mucahit Cevik

Artif. Intell. Medicine, 2022

Evaluation of interpretability methods for multivariate time series forecasting.

Ozan Ozyegen, Igor Ilic, Mucahit Cevik

Appl. Intell., 2022

Order dispatching for an ultra-fast delivery service via deep reinforcement learning.

Eray Mert Kavuk, Ayse Tosun, Mucahit Cevik, Aysun Bozanta, Sibel B. Sonuc, Mehmetcan Tutuncu, Bilgin Kosucu, Ayse Basar

Appl. Intell., 2022

Time series forecasting-based peak shaving for building energy management.

Syed Mahbub Rafayal, Mucahit Cevik

Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

Partially Observable Markov Chain Models for Evaluating Lung Cancer Screening Policies.

Nicholas Prayogo, Davood Pirayesh Neghab, Syed Mahbub Rafayal, Mucahit Cevik

Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

A Prompt-based Few-shot Learning Approach to Software Conflict Detection.

Robert K. Helmeczi, Mucahit Cevik, Savas Yildirim

Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

An empirical study on probabilistic forecasting for predicting city-wide electricity consumption.

Syed Rafayal, Mucahit Cevik, Derya Kici

Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

Software requirement specific entity extraction using transformer models.

Garima Malik, Mucahit Cevik, Swayami Bera, Savas Yildirim, Devang Parikh, Ayse Basar

Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021

Explainable boosted linear regression for time series forecasting.

Igor Ilic, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan

Pattern Recognit., 2021

Designing mm-wave electromagnetic engineered surfaces using generative adversarial networks.

Sanaz Mohammadjafari, Ozan Ozyegen, Mucahit Cevik, Emir Kavurmacioglu, Jonathan Ethier, Ayse Basar

Neural Comput. Appl., 2021

Word-level Text Highlighting of Medical Texts forTelehealth Services.

Ozan Ozyegen, Devika Kabe, Mucahit Cevik

CoRR, 2021

Sentiment Analysis of StockTwits Using Transformer Models.

Aysun Bozanta, Sabrina Angco, Mucahit Cevik, Ayse Basar

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

DABT: A Dependency-aware Bug Triaging Method.

Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik, Ayse Basar

Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021

Text classification on software requirements specifications using transformer models.

Derya Kici, Aysun Bozanta, Mucahit Cevik, Devang Parikh, Ayse Basar

Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

Time series forecasting for patient arrivals in online health services.

Syed Kazmi, Aysun Bozanta, Mucahit Cevik

Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

Text classification for predicting multi-level product categories.

Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar

Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

Natural language processing for software requirement specifications.

Mucahit Cevik, Savas Yildirim, Ayse Basar

Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

Using ProtoPNet for Interpretable Alzheimer's Disease Classification.

Sanaz Mohammadjafari, Mucahit Cevik, Mathusan Thanabalasingam, Ayse Basar, Alzheimer's Disease Neuroimaging Initiative

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Named Entity Recognition on Software Requirements Specification Documents.

Garima Malik, Mucahit Cevik, Yusef Khedr, Devang Parikh, Ayse Basar

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

A BERT-based transfer learning approach to text classification on software requirements specifications.

Derya Kici, Garima Malik, Mucahit Cevik, Devang Parikh, Ayse Basar

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020

Machine Learning-Based Radio Coverage Prediction in Urban Environments.

Sanaz Mohammadjafari, Sophie Roginsky, Emir Kavurmacioglu, Mucahit Cevik, Jonathan Ethier, Ayse Basar Bener

IEEE Trans. Netw. Serv. Manag., 2020

Analyzing Intracranial EEG in Pharmacoresistant Epilepsy Patients Using Hidden Markov Models and Time Series Forecasting Methods.

Ashok Bhowmick, Mucahit Cevik, Ayse Basar

SN Comput. Sci., 2020

Wayback Machine: Capturing the evolutionary behaviour of the bug dependency graph in open-source software systems.

Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú, Ayse Basar, Antonio González Torres

CoRR, 2020

Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting.

Ozan Ozyegen, Igor Ilic, Mucahit Cevik

CoRR, 2020

Deep learning approaches for fast radio signal prediction.

Ozan Ozyegen, Sanaz Mohammadjafari, Karim El Mokhtari, Mucahit Cevik, Jonathan Ethier, Ayse Basar

CoRR, 2020

Deep learning approaches to classify the relevance and sentiment of news articles to the economy.

Jingli Wang, Ashok Bhowmick, Mucahit Cevik, Ayse Basar

Proceedings of the CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 10, 2020

Time series sampling for probabilistic forecasting.

Nicholas Prayogo, Mucahit Cevik, Merve Bodur

Proceedings of the CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 10, 2020

Moving from cross-project defect prediction to heterogeneous defect prediction: a partial replication study.

Hadi Jahanshahi, Mucahit Cevik, Ayse Basar

Proceedings of the CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 10, 2020

Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes.

Karim El Mokhtari, Mucahit Cevik, Ayse Basar

Proceedings of the Advances in Artificial Intelligence, 2020

Predicting the Number of Reported Bugs in a Software Repository.

Hadi Jahanshahi, Mucahit Cevik, Ayse Basar

Proceedings of the Advances in Artificial Intelligence, 2020

Augmented Out-of-Sample Comparison Method for Time Series Forecasting Techniques.

Igor Ilic, Berk Görgülü, Mucahit Cevik

Proceedings of the Advances in Artificial Intelligence, 2020

2019

Does chronology matter in JIT defect prediction?: A Partial Replication Study.

Hadi Jahanshahi, Dhanya Jothimani, Ayse Basar, Mucahit Cevik

Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, 2019

2013

Combinatorial Benders cuts for decomposing IMRT fluence maps using rectangular apertures.

Z. Caner Taskin, Mucahit Cevik

Comput. Oper. Res., 2013