Mucahit Cevik

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 85

Top Topics

Multistage Stochastic

Partially Observable Markov

Requirements Specification

Top Venues

Canadian Conference on AI

Publications

Robert K. Helmeczi, Savas Yildirim, Mucahit Cevik, Sojin Lee
Few shot learning approaches to essay scoring. Canadian AI (2023)
Merve Bodur, Mucahit Cevik, André A. Ciré, Mark Ruschin, Juyoung Wang
Multistage stochastic fractionated intensity modulated radiation therapy planning. Comput. Oper. Res. 160 (2023)
Garima Malik, Mucahit Cevik, Ayse Basar
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs. CASCON (2023)
Robert Kraig Helmeczi, Mucahit Cevik, Savas Yildirim
Few-shot learning for sentence pair classification and its applications in software engineering. CoRR (2023)
Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik
Linear programming-based solution methods for constrained partially observable Markov decision processes. Appl. Intell. 53 (19) (2023)
Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi, Ayse Basar
ADPTriage: Approximate Dynamic Programming for Bug Triage. IEEE Trans. Software Eng. 49 (10) (2023)
Oylum Seker, Mucahit Cevik, Merve Bodur, Young Lee, Mark Ruschin
A Multiobjective Approach for Sector Duration Optimization in Stereotactic Radiosurgery Treatment Planning. INFORMS J. Comput. 35 (1) (2023)
Davood Pirayesh Neghab, Mucahit Cevik, M. I. M. Wahab
Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning. CoRR (2023)
Sanaz Mohammad Jafari, Savas Yildirim, Mucahit Cevik, Ayse Basar
Anaphoric Ambiguity Resolution in Software Requirement Texts. BigData (2023)
Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
VARGAN: variance enforcing network enhanced GAN. Appl. Intell. 53 (1) (2023)
Garima Malik, Mucahit Cevik, Ayse Basar
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs. CoRR (2023)
Savas Yildirim, Mucahit Cevik, Ayse Basar
Few-shot Learning Approaches to Software Requirement Quality Prediction. CASCON (2023)
Syed Kazmi, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting. CoRR (2023)
Arash Dehghan, Mucahit Cevik, Merve Bodur
Dynamic AGV Task Allocation in Intelligent Warehouses. CoRR (2023)
Mucahit Cevik, Can Kavaklioglu, Fahad Razak, Amol A. Verma, Ayse Basar
Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation. CoRR (2023)
Davood Pirayesh Neghab, Mucahit Cevik, Ayse Basar
Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques. Canadian AI (2023)
Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik, Davood Pirayesh Neghab
A multi-objective constrained partially observable Markov decision process model for breast cancer screening. Oper. Res. 23 (2) (2023)
Sanaz Mohammad Jafari, Mucahit Cevik, Ayse Basar
Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning. Appl. Intell. 53 (18) (2023)
Savas Yildirim, Mucahit Cevik, Devang Parikh, Ayse Basar
Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data. CoRR (2023)
Arash Dehghan, Mucahit Cevik, Merve Bodur
Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem. CoRR (2023)
Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener
An Empirical Study on Vagueness Detection in Privacy Policy Texts. Canadian AI (2023)
Ozan Ozyegen, Juyoung Wang, Mucahit Cevik
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting. CoRR (2023)
Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener, Devang Parikh
Transfer learning for conflict and duplicate detection in software requirement pairs. CoRR (2023)
Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim
Sequence Labeling for Disambiguating Medical Abbreviations. J. Heal. Informatics Res. 7 (4) (2023)
Ozan Ozyegen, Devika Kabe, Mucahit Cevik
Word-level text highlighting of medical texts for telehealth services. Artif. Intell. Medicine 127 (2022)
Ozan Ozyegen, Sanaz Mohammadjafari, Mucahit Cevik, Karim El Mokhtari, Jonathan Ethier, Ayse Basar
An Empirical Study on Using CNNs for Fast Radio Signal Prediction. SN Comput. Sci. 3 (2) (2022)
Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar
A deep reinforcement learning approach for the meal delivery problem. Knowl. Based Syst. 243 (2022)
Parisa Lak, Aysun Bozanta, Can Kavaklioglu, Mucahit Cevik, Ayse Basar, Martin Petitclerc, Graham J. Wills
A replication study on implicit feedback recommender systems with application to the data visualization recommendation. Expert Syst. J. Knowl. Eng. 39 (4) (2022)
Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi, Ayse Basar
ADPTriage: Approximate Dynamic Programming for Bug Triage. CoRR (2022)
Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning. CoRR (2022)
Juyoung Wang, Mucahit Cevik, Merve Bodur
On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies. INFOR Inf. Syst. Oper. Res. 60 (2) (2022)
Hadi Jahanshahi, Mucahit Cevik
S-DABT: Schedule and Dependency-Aware Bug Triage in Open-Source Bug Tracking Systems. CoRR (2022)
Robert K. Helmeczi, Mucahit Cevik, Savas Yildirim
A Prompt-based Few-shot Learning Approach to Software Conflict Detection. CoRR (2022)
Aysun Bozanta, Sean Berry, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar
Time Series Clustering for Grouping Products Based on Price and Sales Patterns. CoRR (2022)
Aysun Bozanta, Mucahit Cevik, Can Kavaklioglu, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Alper Duranel, Ayse Basar
Courier routing and assignment for food delivery service using reinforcement learning. Comput. Ind. Eng. 164 (2022)
Garima Malik, Mucahit Cevik, Devang Parikh, Ayse Basar
Identifying the requirement conflicts in SRS documents using transformer-based sentence embeddings. CoRR (2022)
Can Kavaklioglu, Mucahit Cevik
Scalable grid-based approximation algorithms for partially observable Markov decision processes. Concurr. Comput. Pract. Exp. 34 (5) (2022)
Hadi Jahanshahi, Mucahit Cevik
S-DABT: Schedule and Dependency-aware Bug Triage in open-source bug tracking systems. Inf. Softw. Technol. 151 (2022)
Nicholas Prayogo, Davood Pirayesh Neghab, Syed Mahbub Rafayal, Mucahit Cevik
Partially Observable Markov Chain Models for Evaluating Lung Cancer Screening Policies. CASCON (2022)
Syed Rafayal, Mucahit Cevik, Derya Kici
An empirical study on probabilistic forecasting for predicting city-wide electricity consumption. AI (2022)
Eray Mert Kavuk, Ayse Tosun, Mucahit Cevik, Aysun Bozanta, Sibel B. Sonuc, Mehmetcan Tutuncu, Bilgin Kosucu, Ayse Basar
Order dispatching for an ultra-fast delivery service via deep reinforcement learning. Appl. Intell. 52 (4) (2022)
Ozan Ozyegen, Nicholas Prayogo, Mucahit Cevik, Ayse Basar
Interpretable Time Series Clustering Using Local Explanations. CoRR (2022)
Ozan Ozyegen, Igor Ilic, Mucahit Cevik
Evaluation of interpretability methods for multivariate time series forecasting. Appl. Intell. 52 (5) (2022)
Garima Malik, Mucahit Cevik, Swayami Bera, Savas Yildirim, Devang Parikh, Ayse Basar
Software requirement specific entity extraction using transformer models. AI (2022)
Robert K. Helmeczi, Mucahit Cevik, Savas Y1ldmm
A Prompt-based Few-shot Learning Approach to Software Conflict Detection. CASCON (2022)
Can Kavaklioglu, Robert Helmeczi, Mucahit Cevik
Linear programming-based solution methods for constrained POMDPs. CoRR (2022)
Can Kavaklioglu, Mucahit Cevik, Robert Helmeczi, Davood Pirayesh Neghab
A multi-objective constrained POMDP model for breast cancer screening. CoRR (2022)
Hadi Jahanshahi, Syed Kazmi, Mucahit Cevik
Auto Response Generation in Online Medical Chat Services. J. Heal. Informatics Res. 6 (3) (2022)
Syed Mahbub Rafayal, Mucahit Cevik
Time series forecasting-based peak shaving for building energy management. CASCON (2022)
Mucahit Cevik, Sabrina Angco, Elham Heydarigharaei, Hadi Jahanshahi, Nicholas Prayogo
Active Learning for Multi-way Sensitivity Analysis with Application to Disease Screening Modeling. J. Heal. Informatics Res. 6 (3) (2022)
Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú, Ayse Basar, Antonio González Torres
Wayback Machine: A tool to capture the evolutionary behavior of the bug reports and their triage process in open-source software systems. J. Syst. Softw. 189 (2022)
Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim
Token Classification for Disambiguating Medical Abbreviations. CoRR (2022)
Hadi Jahanshahi, Mucahit Cevik, Ayse Basar
Predicting the Number of Reported Bugs in a Software Repository. CoRR (2021)
Sanaz Mohammadjafari, Mucahit Cevik, Mathusan Thanabalasingam, Ayse Basar, Alzheimer's Disease Neuroimaging Initiative
Using ProtoPNet for Interpretable Alzheimer's Disease Classification. Canadian Conference on AI (2021)
Syed Kazmi, Aysun Bozanta, Mucahit Cevik
Time series forecasting for patient arrivals in online health services. CASCON (2021)
Mucahit Cevik, Savas Yildirim, Ayse Basar
Natural language processing for software requirement specifications. CASCON (2021)
Aysun Bozanta, Sabrina Angco, Mucahit Cevik, Ayse Basar
Sentiment Analysis of StockTwits Using Transformer Models. ICMLA (2021)
Hadi Jahanshahi, Dhanya Jothimani, Ayse Basar, Mucahit Cevik
Does chronology matter in JIT defect prediction? A Partial Replication Study. CoRR (2021)
Hadi Jahanshahi, Syed Kazmi, Mucahit Cevik
Auto Response Generation in Online Medical Chat Services. CoRR (2021)
Ozan Ozyegen, Devika Kabe, Mucahit Cevik
Word-level Text Highlighting of Medical Texts forTelehealth Services. CoRR (2021)
Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar
Text Classification for Predicting Multi-level Product Categories. CoRR (2021)
Igor Ilic, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan
Explainable boosted linear regression for time series forecasting. Pattern Recognit. 120 (2021)
Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar
A Deep Reinforcement Learning Approach for the Meal Delivery Problem. CoRR (2021)
Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik, Ayse Basar
DABT: A Dependency-aware Bug Triaging Method. EASE (2021)
Sanaz Mohammadjafari, Ozan Ozyegen, Mucahit Cevik, Emir Kavurmacioglu, Jonathan Ethier, Ayse Basar
Designing mm-wave electromagnetic engineered surfaces using generative adversarial networks. Neural Comput. Appl. 33 (17) (2021)
Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar
Text classification for predicting multi-level product categories. CASCON (2021)
Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik, Ayse Basar
DABT: A Dependency-aware Bug Triaging Method. CoRR (2021)
Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
VARGAN: Variance Enforcing Network Enhanced GAN. CoRR (2021)
Hadi Jahanshahi, Mucahit Cevik, Ayse Basar
Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study. CoRR (2021)
Garima Malik, Mucahit Cevik, Yusef Khedr, Devang Parikh, Ayse Basar
Named Entity Recognition on Software Requirements Specification Documents. Canadian Conference on AI (2021)
Derya Kici, Garima Malik, Mucahit Cevik, Devang Parikh, Ayse Basar
A BERT-based transfer learning approach to text classification on software requirements specifications. Canadian Conference on AI (2021)
Derya Kici, Aysun Bozanta, Mucahit Cevik, Devang Parikh, Ayse Basar
Text classification on software requirements specifications using transformer models. CASCON (2021)
Ashok Bhowmick, Mucahit Cevik, Ayse Basar
Analyzing Intracranial EEG in Pharmacoresistant Epilepsy Patients Using Hidden Markov Models and Time Series Forecasting Methods. SN Comput. Sci. 1 (6) (2020)
Hadi Jahanshahi, Mucahit Cevik, Ayse Basar
Predicting the Number of Reported Bugs in a Software Repository. Canadian Conference on AI (2020)
Igor Ilic, Berk Görgülü, Mucahit Cevik
Augmented Out-of-Sample Comparison Method for Time Series Forecasting Techniques. Canadian Conference on AI (2020)
Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú, Ayse Basar, Antonio González Torres
Wayback Machine: Capturing the evolutionary behaviour of the bug dependency graph in open-source software systems. CoRR (2020)
Jingli Wang, Ashok Bhowmick, Mucahit Cevik, Ayse Basar
Deep learning approaches to classify the relevance and sentiment of news articles to the economy. CASCON (2020)
Nicholas Prayogo, Mucahit Cevik, Merve Bodur
Time series sampling for probabilistic forecasting. CASCON (2020)
Igor Ilic, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan
Explainable boosted linear regression for time series forecasting. CoRR (2020)
Sanaz Mohammadjafari, Sophie Roginsky, Emir Kavurmacioglu, Mucahit Cevik, Jonathan Ethier, Ayse Basar Bener
Machine Learning-Based Radio Coverage Prediction in Urban Environments. IEEE Trans. Netw. Serv. Manag. 17 (4) (2020)
Ozan Ozyegen, Igor Ilic, Mucahit Cevik
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting. CoRR (2020)
Hadi Jahanshahi, Mucahit Cevik, Ayse Basar
Moving from cross-project defect prediction to heterogeneous defect prediction: a partial replication study. CASCON (2020)
Karim El Mokhtari, Mucahit Cevik, Ayse Basar
Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes. Canadian Conference on AI (2020)
Ozan Ozyegen, Sanaz Mohammadjafari, Karim El Mokhtari, Mucahit Cevik, Jonathan Ethier, Ayse Basar
Deep learning approaches for fast radio signal prediction. CoRR (2020)
Hadi Jahanshahi, Dhanya Jothimani, Ayse Basar, Mucahit Cevik
Does chronology matter in JIT defect prediction?: A Partial Replication Study. PROMISE (2019)
Z. Caner Taskin, Mucahit Cevik
Combinatorial Benders cuts for decomposing IMRT fluence maps using rectangular apertures. Comput. Oper. Res. 40 (9) (2013)