Mucahit Cevik - RankMe

93 papers A 1B 1C 1Journal 65Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A unified framework for financial commentary prediction. Inf. Technol. Manag. Ozan Ozyegen, Garima Malik, Mucahit Cevik, Kevin Ioi, Karim El Mokhtari
2026	J	`jnl`	Time series clustering for grouping products based on price and sales patterns. Inf. Technol. Manag. Sean Berry, Aysun Bozanta, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar
2025	J	`jnl`	Dynamic Task Allocation in Intelligent Warehouses with Hybrid Workforce of Automated Guided Vehicles and Human Pickers. ACM Trans. Evol. Learn. Optim. Arash Dehghan, Mucahit Cevik, Merve Bodur
2025	J	`jnl`	Joint Matching and Pricing for Crowd-shipping with In-store Customers. CoRR Arash Dehghan, Mucahit Cevik, Merve Bodur, Bissan Ghaddar
2025	J	`jnl`	Predicting offer burden to optimize batch sizes in simultaneously expiring kidney offers. Frontiers Artif. Intell. Sean Berry, Berk Görgülü, Sait Tunç, Mucahit Cevik
2024	—	`conf`	Interpreting time series forecasting models using model class reliance. Canadian AI Sean Berry, Mucahit Cevik, Ozan Ozyegen
2024	J	`jnl`	Optimizing Hard-to-Place Kidney Allocation: A Machine Learning Approach to Center Ranking. CoRR Sean Berry, Berk Görgülü, Sait Tunç, Mucahit Cevik, Matthew J. Ellis
2023	J	`jnl`	A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting. CoRR Syed Kazmi, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan
2023	J	`jnl`	A Multiobjective Approach for Sector Duration Optimization in Stereotactic Radiosurgery Treatment Planning. INFORMS J. Comput. Oylum Seker, Mucahit Cevik, Merve Bodur, Young Lee, Mark Ruschin
2023	J	`jnl`	A multi-objective constrained partially observable Markov decision process model for breast cancer screening. Oper. Res. Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik, Davood Pirayesh Neghab
2023	J	`jnl`	ADPTriage: Approximate Dynamic Programming for Bug Triage. IEEE Trans. Software Eng. Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi, Ayse Basar
2023	J	`jnl`	Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data. CoRR Savas Yildirim, Mucahit Cevik, Devang Parikh, Ayse Basar
2023	—	`conf`	An Empirical Study on Vagueness Detection in Privacy Policy Texts. Canadian AI Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener
2023	B	`conf`	Anaphoric Ambiguity Resolution in Software Requirement Texts. IEEE Big Data Sanaz Mohammad Jafari, Savas Yildirim, Mucahit Cevik, Ayse Basar
2023	J	`jnl`	Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation. CoRR Mucahit Cevik, Can Kavaklioglu, Fahad Razak, Amol Verma, Ayse Basar
2023	J	`jnl`	DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting. CoRR Ozan Ozyegen, Juyoung Wang, Mucahit Cevik
2023	—	`conf`	Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs. CASCON Garima Malik, Mucahit Cevik, Ayse Basar
2023	J	`jnl`	Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs. CoRR Garima Malik, Mucahit Cevik, Ayse Basar
2023	J	`jnl`	Dynamic AGV Task Allocation in Intelligent Warehouses. CoRR Arash Dehghan, Mucahit Cevik, Merve Bodur
2023	J	`jnl`	Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning. CoRR Davood Pirayesh Neghab, Mucahit Cevik, M. I. M. Wahab
2023	—	`conf`	Few shot learning approaches to essay scoring. Canadian AI Robert K. Helmeczi, Savas Yildirim, Mucahit Cevik, Sojin Lee
2023	—	`conf`	Few-shot Learning Approaches to Software Requirement Quality Prediction. CASCON Savas Yildirim, Mucahit Cevik, Ayse Basar
2023	J	`jnl`	Few-shot learning for sentence pair classification and its applications in software engineering. CoRR Robert Kraig Helmeczi, Mucahit Cevik, Savas Yildirim
2023	—	`conf`	Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques. Canadian AI Davood Pirayesh Neghab, Mucahit Cevik, Ayse Basar
2023	J	`jnl`	Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning. Appl. Intell. Sanaz Mohammad Jafari, Mucahit Cevik, Ayse Basar
2023	J	`jnl`	Linear programming-based solution methods for constrained partially observable Markov decision processes. Appl. Intell. Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik
2023	J	`jnl`	Multistage stochastic fractionated intensity modulated radiation therapy planning. Comput. Oper. Res. Merve Bodur, Mucahit Cevik, André A. Ciré, Mark Ruschin, Juyoung Wang
2023	J	`jnl`	Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem. CoRR Arash Dehghan, Mucahit Cevik, Merve Bodur
2023	J	`jnl`	Sequence Labeling for Disambiguating Medical Abbreviations. J. Heal. Informatics Res. Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim
2023	J	`jnl`	Transfer learning for conflict and duplicate detection in software requirement pairs. CoRR Garima Malik, Savas Yildirim, Mucahit Cevik, Ayse Bener, Devang Parikh
2023	J	`jnl`	VARGAN: variance enforcing network enhanced GAN. Appl. Intell. Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
2022	—	`conf`	A Prompt-based Few-shot Learning Approach to Software Conflict Detection. CASCON Robert K. Helmeczi, Mucahit Cevik, Savas Yildirim
2022	J	`jnl`	A Prompt-based Few-shot Learning Approach to Software Conflict Detection. CoRR Robert K. Helmeczi, Mucahit Cevik, Savas Yildirim
2022	J	`jnl`	A deep reinforcement learning approach for the meal delivery problem. Knowl. Based Syst. Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar
2022	J	`jnl`	A multi-objective constrained POMDP model for breast cancer screening. CoRR Can Kavaklioglu, Mucahit Cevik, Robert Helmeczi, Davood Pirayesh Neghab
2022	J	`jnl`	A replication study on implicit feedback recommender systems with application to the data visualization recommendation. Expert Syst. J. Knowl. Eng. Parisa Lak, Aysun Bozanta, Can Kavaklioglu, Mucahit Cevik, Ayse Basar, Martin Petitclerc, Graham J. Wills
2022	J	`jnl`	ADPTriage: Approximate Dynamic Programming for Bug Triage. CoRR Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi, Ayse Basar
2022	J	`jnl`	Active Learning for Multi-way Sensitivity Analysis with Application to Disease Screening Modeling. J. Heal. Informatics Res. Mucahit Cevik, Sabrina Angco, Elham Heydarigharaei, Hadi Jahanshahi, Nicholas Prayogo
2022	J	`jnl`	An Empirical Study on Using CNNs for Fast Radio Signal Prediction. SN Comput. Sci. Ozan Ozyegen, Sanaz Mohammadjafari, Mucahit Cevik, Karim El Mokhtari, Jonathan Ethier, Ayse Basar
2022	—	`conf`	An empirical study on probabilistic forecasting for predicting city-wide electricity consumption. Canadian AI Syed Rafayal, Mucahit Cevik, Derya Kici
2022	J	`jnl`	Auto Response Generation in Online Medical Chat Services. J. Heal. Informatics Res. Hadi Jahanshahi, Syed Kazmi, Mucahit Cevik
2022	J	`jnl`	Courier routing and assignment for food delivery service using reinforcement learning. Comput. Ind. Eng. Aysun Bozanta, Mucahit Cevik, Can Kavaklioglu, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Alper Duranel, Ayse Basar
2022	J	`jnl`	Evaluation of interpretability methods for multivariate time series forecasting. Appl. Intell. Ozan Ozyegen, Igor Ilic, Mucahit Cevik
2022	J	`jnl`	Identifying the requirement conflicts in SRS documents using transformer-based sentence embeddings. CoRR Garima Malik, Mucahit Cevik, Devang Parikh, Ayse Basar
2022	J	`jnl`	Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning. CoRR Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
2022	J	`jnl`	Interpretable Time Series Clustering Using Local Explanations. CoRR Ozan Ozyegen, Nicholas Prayogo, Mucahit Cevik, Ayse Basar
2022	J	`jnl`	Linear programming-based solution methods for constrained POMDPs. CoRR Can Kavaklioglu, Robert Helmeczi, Mucahit Cevik
2022	J	`jnl`	On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies. INFOR Inf. Syst. Oper. Res. Juyoung Wang, Mucahit Cevik, Merve Bodur
2022	J	`jnl`	Order dispatching for an ultra-fast delivery service via deep reinforcement learning. Appl. Intell. Eray Mert Kavuk, Ayse Tosun, Mucahit Cevik, Aysun Bozanta, Sibel B. Sonuc, Mehmetcan Tutuncu, Bilgin Kosucu, Ayse Basar
2022	—	`conf`	Partially Observable Markov Chain Models for Evaluating Lung Cancer Screening Policies. CASCON Nicholas Prayogo, Davood Pirayesh Neghab, Syed Mahbub Rafayal, Mucahit Cevik
2022	J	`jnl`	S-DABT: Schedule and Dependency-Aware Bug Triage in Open-Source Bug Tracking Systems. CoRR Hadi Jahanshahi, Mucahit Cevik
2022	J	`jnl`	S-DABT: Schedule and Dependency-aware Bug Triage in open-source bug tracking systems. Inf. Softw. Technol. Hadi Jahanshahi, Mucahit Cevik
2022	J	`jnl`	Scalable grid-based approximation algorithms for partially observable Markov decision processes. Concurr. Comput. Pract. Exp. Can Kavaklioglu, Mucahit Cevik
2022	—	`conf`	Software requirement specific entity extraction using transformer models. Canadian AI Garima Malik, Mucahit Cevik, Swayami Bera, Savas Yildirim, Devang Parikh, Ayse Basar
2022	J	`jnl`	Time Series Clustering for Grouping Products Based on Price and Sales Patterns. CoRR Aysun Bozanta, Sean Berry, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar
2022	—	`conf`	Time series forecasting-based peak shaving for building energy management. CASCON Syed Mahbub Rafayal, Mucahit Cevik
2022	J	`jnl`	Token Classification for Disambiguating Medical Abbreviations. CoRR Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim
2022	J	`jnl`	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. Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú, Ayse Basar, Antonio González Torres
2022	J	`jnl`	Word-level text highlighting of medical texts for telehealth services. Artif. Intell. Medicine Ozan Ozyegen, Devika Kabe, Mucahit Cevik
2021	—	`conf`	A BERT-based transfer learning approach to text classification on software requirements specifications. Canadian AI Derya Kici, Garima Malik, Mucahit Cevik, Devang Parikh, Ayse Basar
2021	J	`jnl`	A Deep Reinforcement Learning Approach for the Meal Delivery Problem. CoRR Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayse Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayse Basar
2021	J	`jnl`	Auto Response Generation in Online Medical Chat Services. CoRR Hadi Jahanshahi, Syed Kazmi, Mucahit Cevik
2021	A	`conf`	DABT: A Dependency-aware Bug Triaging Method. EASE Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik, Ayse Basar
2021	J	`jnl`	DABT: A Dependency-aware Bug Triaging Method. CoRR Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik, Ayse Basar
2021	J	`jnl`	Designing mm-wave electromagnetic engineered surfaces using generative adversarial networks. Neural Comput. Appl. Sanaz Mohammadjafari, Ozan Ozyegen, Mucahit Cevik, Emir Kavurmacioglu, Jonathan Ethier, Ayse Basar
2021	J	`jnl`	Does chronology matter in JIT defect prediction? A Partial Replication Study. CoRR Hadi Jahanshahi, Dhanya Jothimani, Ayse Basar, Mucahit Cevik
2021	J	`jnl`	Explainable boosted linear regression for time series forecasting. Pattern Recognit. Igor Ilic, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan
2021	J	`jnl`	Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study. CoRR Hadi Jahanshahi, Mucahit Cevik, Ayse Basar
2021	—	`conf`	Named Entity Recognition on Software Requirements Specification Documents. Canadian AI Garima Malik, Mucahit Cevik, Yusef Khedr, Devang Parikh, Ayse Basar
2021	—	`conf`	Natural language processing for software requirement specifications. CASCON Mucahit Cevik, Savas Yildirim, Ayse Basar
2021	J	`jnl`	Predicting the Number of Reported Bugs in a Software Repository. CoRR Hadi Jahanshahi, Mucahit Cevik, Ayse Basar
2021	C	`conf`	Sentiment Analysis of StockTwits Using Transformer Models. ICMLA Aysun Bozanta, Sabrina Angco, Mucahit Cevik, Ayse Basar
2021	J	`jnl`	Text Classification for Predicting Multi-level Product Categories. CoRR Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar
2021	—	`conf`	Text classification for predicting multi-level product categories. CASCON Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar
2021	—	`conf`	Text classification on software requirements specifications using transformer models. CASCON Derya Kici, Aysun Bozanta, Mucahit Cevik, Devang Parikh, Ayse Basar
2021	—	`conf`	Time series forecasting for patient arrivals in online health services. CASCON Syed Kazmi, Aysun Bozanta, Mucahit Cevik
2021	—	`conf`	Using ProtoPNet for Interpretable Alzheimer's Disease Classification. Canadian AI Sanaz Mohammadjafari, Mucahit Cevik, Mathusan Thanabalasingam, Ayse Basar, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	VARGAN: Variance Enforcing Network Enhanced GAN. CoRR Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
2021	J	`jnl`	Word-level Text Highlighting of Medical Texts forTelehealth Services. CoRR Ozan Ozyegen, Devika Kabe, Mucahit Cevik
2020	J	`jnl`	Analyzing Intracranial EEG in Pharmacoresistant Epilepsy Patients Using Hidden Markov Models and Time Series Forecasting Methods. SN Comput. Sci. Ashok Bhowmick, Mucahit Cevik, Ayse Basar
2020	—	`conf`	Augmented Out-of-Sample Comparison Method for Time Series Forecasting Techniques. Canadian AI Igor Ilic, Berk Görgülü, Mucahit Cevik
2020	J	`jnl`	Deep learning approaches for fast radio signal prediction. CoRR Ozan Ozyegen, Sanaz Mohammadjafari, Karim El Mokhtari, Mucahit Cevik, Jonathan Ethier, Ayse Basar
2020	—	`conf`	Deep learning approaches to classify the relevance and sentiment of news articles to the economy. CASCON Jingli Wang, Ashok Bhowmick, Mucahit Cevik, Ayse Basar
2020	J	`jnl`	Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting. CoRR Ozan Ozyegen, Igor Ilic, Mucahit Cevik
2020	J	`jnl`	Explainable boosted linear regression for time series forecasting. CoRR Igor Ilic, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan
2020	J	`jnl`	Machine Learning-Based Radio Coverage Prediction in Urban Environments. IEEE Trans. Netw. Serv. Manag. Sanaz Mohammadjafari, Sophie Roginsky, Emir Kavurmacioglu, Mucahit Cevik, Jonathan Ethier, Ayse Basar Bener
2020	—	`conf`	Moving from cross-project defect prediction to heterogeneous defect prediction: a partial replication study. CASCON Hadi Jahanshahi, Mucahit Cevik, Ayse Basar
2020	—	`conf`	Predicting the Number of Reported Bugs in a Software Repository. Canadian AI Hadi Jahanshahi, Mucahit Cevik, Ayse Basar
2020	—	`conf`	Time series sampling for probabilistic forecasting. CASCON Nicholas Prayogo, Mucahit Cevik, Merve Bodur
2020	—	`conf`	Using Topic Modelling to Improve Prediction of Financial Report Commentary Classes. Canadian AI Karim El Mokhtari, Mucahit Cevik, Ayse Basar
2020	J	`jnl`	Wayback Machine: Capturing the evolutionary behaviour of the bug dependency graph in open-source software systems. CoRR Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú, Ayse Basar, Antonio González Torres
2019	—	`conf`	Does chronology matter in JIT defect prediction?: A Partial Replication Study. PROMISE Hadi Jahanshahi, Dhanya Jothimani, Ayse Basar, Mucahit Cevik
2013	J	`jnl`	Combinatorial Benders cuts for decomposing IMRT fluence maps using rectangular apertures. Comput. Oper. Res. Z. Caner Taskin, Mucahit Cevik