Combinatorial Benders cuts for decomposing IMRT fluence maps using rectangular apertures. - Z. Caner Taskin; Mucahit Cevik (Comput. Oper. Res., 2013)

Does chronology matter in JIT defect prediction?: A Partial Replication Study. - Hadi Jahanshahi; Dhanya Jothimani; Ayse Basar; Mucahit Cevik (PROMISE, 2019)

Augmented Out-of-Sample Comparison Method for Time Series Forecasting Techniques. - Igor Ilic; Berk Görgülü; Mucahit Cevik (Canadian AI, 2020)

Predicting the Number of Reported Bugs in a Software Repository. - Hadi Jahanshahi; Mucahit Cevik; Ayse Basar (Canadian AI, 2020)

Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes. - Karim El Mokhtari; Mucahit Cevik; Ayse Basar (Canadian AI, 2020)

Moving from cross-project defect prediction to heterogeneous defect prediction: a partial replication study. - Hadi Jahanshahi; Mucahit Cevik; Ayse Basar (CASCON, 2020)

Time series sampling for probabilistic forecasting. - Nicholas Prayogo; Mucahit Cevik; Merve Bodur (CASCON, 2020)

Deep learning approaches to classify the relevance and sentiment of news articles to the economy. - Jingli Wang; Ashok Bhowmick; Mucahit Cevik; Ayse Basar (CASCON, 2020)

Deep learning approaches for fast radio signal prediction. - Ozan Ozyegen; Sanaz Mohammadjafari; Karim El Mokhtari; Mucahit Cevik; Jonathan Ethier; Ayse Basar (CoRR, 2020)

Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting. - Ozan Ozyegen; Igor Ilic; Mucahit Cevik (CoRR, 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)

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)

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)

A BERT-based transfer learning approach to text classification on software requirements specifications. - Derya Kici; Garima Malik; Mucahit Cevik; Devang Parikh; Ayse Basar (Canadian AI, 2021)

Named Entity Recognition on Software Requirements Specification Documents. - Garima Malik; Mucahit Cevik; Yusef Khedr; Devang Parikh; Ayse Basar (Canadian AI, 2021)

Using ProtoPNet for Interpretable Alzheimer's Disease Classification. - Sanaz Mohammadjafari; Mucahit Cevik; Mathusan Thanabalasingam; Ayse Basar; Alzheimer's Disease Neuroimaging Initiative (Canadian AI, 2021)

Natural language processing for software requirement specifications. - Mucahit Cevik; Savas Yildirim; Ayse Basar (CASCON, 2021)

Text classification for predicting multi-level product categories. - Hadi Jahanshahi; Ozan Ozyegen; Mucahit Cevik; Beste Bulut; Deniz Yigit; Fahrettin F. Gonen; Ayse Basar (CASCON, 2021)

Time series forecasting for patient arrivals in online health services. - Syed Kazmi; Aysun Bozanta; Mucahit Cevik (CASCON, 2021)

Text classification on software requirements specifications using transformer models. - Derya Kici; Aysun Bozanta; Mucahit Cevik; Devang Parikh; Ayse Basar (CASCON, 2021)

DABT: A Dependency-aware Bug Triaging Method. - Hadi Jahanshahi; Kritika Chhabra; Mucahit Cevik; Ayse Basar (EASE, 2021)

Sentiment Analysis of StockTwits Using Transformer Models. - Aysun Bozanta; Sabrina Angco; Mucahit Cevik; Ayse Basar (ICMLA, 2021)

Word-level Text Highlighting of Medical Texts forTelehealth Services. - Ozan Ozyegen; Devika Kabe; Mucahit Cevik (CoRR, 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)

Explainable boosted linear regression for time series forecasting. - Igor Ilic; Berk Görgülü; Mucahit Cevik; Mustafa Gökçe Baydogan (Pattern Recognit., 2021)

Software requirement specific entity extraction using transformer models. - Garima Malik; Mucahit Cevik; Swayami Bera; Savas Yildirim; Devang Parikh; Ayse Basar (Canadian AI, 2022)

An empirical study on probabilistic forecasting for predicting city-wide electricity consumption. - Syed Rafayal; Mucahit Cevik; Derya Kici (Canadian AI, 2022)

A Prompt-based Few-shot Learning Approach to Software Conflict Detection. - Robert K. Helmeczi; Mucahit Cevik; Savas Yildirim (CASCON, 2022)

Partially Observable Markov Chain Models for Evaluating Lung Cancer Screening Policies. - Nicholas Prayogo; Davood Pirayesh Neghab; Syed Mahbub Rafayal; Mucahit Cevik (CASCON, 2022)

Time series forecasting-based peak shaving for building energy management. - Syed Mahbub Rafayal; Mucahit Cevik (CASCON, 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)

Evaluation of interpretability methods for multivariate time series forecasting. - Ozan Ozyegen; Igor Ilic; Mucahit Cevik (Appl. Intell., 2022)

Word-level text highlighting of medical texts for telehealth services. - Ozan Ozyegen; Devika Kabe; Mucahit Cevik (Artif. Intell. Medicine, 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)

Scalable grid-based approximation algorithms for partially observable Markov decision processes. - Can Kavaklioglu; Mucahit Cevik (Concurr. Comput. Pract. Exp., 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)

A multi-objective constrained POMDP model for breast cancer screening. - Can Kavaklioglu; Mucahit Cevik; Robert Helmeczi; Davood Pirayesh Neghab (CoRR, 2022)

Identifying the requirement conflicts in SRS documents using transformer-based sentence embeddings. - Garima Malik; Mucahit Cevik; Devang Parikh; Ayse Basar (CoRR, 2022)

Linear programming-based solution methods for constrained POMDPs. - Can Kavaklioglu; Robert Helmeczi; Mucahit Cevik (CoRR, 2022)

Interpretable Time Series Clustering Using Local Explanations. - Ozan Ozyegen; Nicholas Prayogo; Mucahit Cevik; Ayse Basar (CoRR, 2022)

Token Classification for Disambiguating Medical Abbreviations. - Mucahit Cevik; Sanaz Mohammad Jafari; Mitchell Myers; Savas Yildirim (CoRR, 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)

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)

S-DABT: Schedule and Dependency-aware Bug Triage in open-source bug tracking systems. - Hadi Jahanshahi; Mucahit Cevik (Inf. Softw. Technol., 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)

Auto Response Generation in Online Medical Chat Services. - Hadi Jahanshahi; Syed Kazmi; Mucahit Cevik (J. Heal. Informatics Res., 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)

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)

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)

Few shot learning approaches to essay scoring. - Robert K. Helmeczi; Savas Yildirim; Mucahit Cevik; Sojin Lee (Canadian AI, 2023)

An Empirical Study on Vagueness Detection in Privacy Policy Texts. - Garima Malik; Savas Yildirim; Mucahit Cevik; Ayse Bener (Canadian AI, 2023)

Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques. - Davood Pirayesh Neghab; Mucahit Cevik; Ayse Basar (Canadian AI, 2023)

Anaphoric Ambiguity Resolution in Software Requirement Texts. - Sanaz Mohammad Jafari; Savas Yildirim; Mucahit Cevik; Ayse Basar (IEEE Big Data, 2023)

Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs. - Garima Malik; Mucahit Cevik; Ayse Basar (CASCON, 2023)

Few-shot Learning Approaches to Software Requirement Quality Prediction. - Savas Yildirim; Mucahit Cevik; Ayse Basar (CASCON, 2023)

VARGAN: variance enforcing network enhanced GAN. - Sanaz Mohammadjafari; Mucahit Cevik; Ayse Basar (Appl. Intell., 2023)

Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data. - Savas Yildirim; Mucahit Cevik; Devang Parikh; Ayse Basar (CoRR, 2023)

A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting. - Syed Kazmi; Berk Görgülü; Mucahit Cevik; Mustafa Gökçe Baydogan (CoRR, 2023)

DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting. - Ozan Ozyegen; Juyoung Wang; Mucahit Cevik (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)

Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning. - Davood Pirayesh Neghab; Mucahit Cevik; M. I. M. Wahab (CoRR, 2023)

Few-shot learning for sentence pair classification and its applications in software engineering. - Robert Kraig Helmeczi; Mucahit Cevik; Savas Yildirim (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 Verma; Ayse Basar (CoRR, 2023)

Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem. - Arash Dehghan; Mucahit Cevik; Merve Bodur (CoRR, 2023)

Dynamic AGV Task Allocation in Intelligent Warehouses. - Arash Dehghan; Mucahit Cevik; Merve Bodur (CoRR, 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)

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)

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., 2023)

Linear programming-based solution methods for constrained partially observable Markov decision processes. - Robert K. Helmeczi; Can Kavaklioglu; Mucahit Cevik (Appl. Intell., 2023)

ADPTriage: Approximate Dynamic Programming for Bug Triage. - Hadi Jahanshahi; Mucahit Cevik; Kianoush Mousavi; Ayse Basar (IEEE Trans. Software Eng., 2023)

Multistage stochastic fractionated intensity modulated radiation therapy planning. - Merve Bodur; Mucahit Cevik; André A. Ciré; Mark Ruschin; Juyoung Wang (Comput. Oper. Res., 2023)

Sequence Labeling for Disambiguating Medical Abbreviations. - Mucahit Cevik; Sanaz Mohammad Jafari; Mitchell Myers; Savas Yildirim (J. Heal. Informatics Res., 2023)

Interpreting time series forecasting models using model class reliance. - Sean Berry; Mucahit Cevik; Ozan Ozyegen (Canadian AI, 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)

Joint Matching and Pricing for Crowd-shipping with In-store Customers. - Arash Dehghan; Mucahit Cevik; Merve Bodur; Bissan Ghaddar (CoRR, 2025)