Mucahit Cevik

Orcid: 0000-0003-4020-6305

According to our database1, Mucahit Cevik authored at least 72 papers between 2013 and 2023.

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Bibliography

2023
Sequence Labeling for Disambiguating Medical Abbreviations.
J. Heal. Informatics Res., December, 2023

Multistage stochastic fractionated intensity modulated radiation therapy planning.
Comput. Oper. Res., December, 2023

ADPTriage: Approximate Dynamic Programming for Bug Triage.
IEEE Trans. Software Eng., October, 2023

Linear programming-based solution methods for constrained partially observable Markov decision processes.
Appl. Intell., October, 2023

Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning.
Appl. Intell., September, 2023

A multi-objective constrained partially observable Markov decision process model for breast cancer screening.
Oper. Res., 2023

A Multiobjective Approach for Sector Duration Optimization in Stereotactic Radiosurgery Treatment Planning.
INFORMS J. Comput., 2023

Dynamic AGV Task Allocation in Intelligent Warehouses.
CoRR, 2023

Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem.
CoRR, 2023

Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation.
CoRR, 2023

Few-shot learning for sentence pair classification and its applications in software engineering.
CoRR, 2023

Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning.
CoRR, 2023

Transfer learning for conflict and duplicate detection in software requirement pairs.
CoRR, 2023

DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting.
CoRR, 2023

A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting.
CoRR, 2023

Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data.
CoRR, 2023

VARGAN: variance enforcing network enhanced GAN.
Appl. Intell., 2023

Few-shot Learning Approaches to Software Requirement Quality Prediction.
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.
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

Anaphoric Ambiguity Resolution in Software Requirement Texts.
Proceedings of the IEEE International Conference on Big Data, 2023

Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

An Empirical Study on Vagueness Detection in Privacy Policy Texts.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

Few shot learning approaches to essay scoring.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022
An Empirical Study on Using CNNs for Fast Radio Signal Prediction.
SN Comput. Sci., 2022

A deep reinforcement learning approach for the meal delivery problem.
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.
J. Syst. Softw., 2022

Auto Response Generation in Online Medical Chat Services.
J. Heal. Informatics Res., 2022

Active Learning for Multi-way Sensitivity Analysis with Application to Disease Screening Modeling.
J. Heal. Informatics Res., 2022

S-DABT: Schedule and Dependency-aware Bug Triage in open-source bug tracking systems.
Inf. Softw. Technol., 2022

On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies.
INFOR Inf. Syst. Oper. Res., 2022

A replication study on implicit feedback recommender systems with application to the data visualization recommendation.
Expert Syst. J. Knowl. Eng., 2022

Token Classification for Disambiguating Medical Abbreviations.
CoRR, 2022

Interpretable Time Series Clustering Using Local Explanations.
CoRR, 2022

Linear programming-based solution methods for constrained POMDPs.
CoRR, 2022

Identifying the requirement conflicts in SRS documents using transformer-based sentence embeddings.
CoRR, 2022

A multi-objective constrained POMDP model for breast cancer screening.
CoRR, 2022

Time Series Clustering for Grouping Products Based on Price and Sales Patterns.
CoRR, 2022

Scalable grid-based approximation algorithms for partially observable Markov decision processes.
Concurr. Comput. Pract. Exp., 2022

Courier routing and assignment for food delivery service using reinforcement learning.
Comput. Ind. Eng., 2022

Word-level text highlighting of medical texts for telehealth services.
Artif. Intell. Medicine, 2022

Evaluation of interpretability methods for multivariate time series forecasting.
Appl. Intell., 2022

Order dispatching for an ultra-fast delivery service via deep reinforcement learning.
Appl. Intell., 2022

Time series forecasting-based peak shaving for building energy management.
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.
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.
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.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

Software requirement specific entity extraction using transformer models.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021
Explainable boosted linear regression for time series forecasting.
Pattern Recognit., 2021

Designing mm-wave electromagnetic engineered surfaces using generative adversarial networks.
Neural Comput. Appl., 2021

Word-level Text Highlighting of Medical Texts forTelehealth Services.
CoRR, 2021

Sentiment Analysis of StockTwits Using Transformer Models.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

DABT: A Dependency-aware Bug Triaging Method.
Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021

Text classification on software requirements specifications using transformer models.
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.
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.
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.
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.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Named Entity Recognition on Software Requirements Specification Documents.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

A BERT-based transfer learning approach to text classification on software requirements specifications.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020
Machine Learning-Based Radio Coverage Prediction in Urban Environments.
IEEE Trans. Netw. Serv. Manag., 2020

Analyzing Intracranial EEG in Pharmacoresistant Epilepsy Patients Using Hidden Markov Models and Time Series Forecasting Methods.
SN Comput. Sci., 2020

Wayback Machine: Capturing the evolutionary behaviour of the bug dependency graph in open-source software systems.
CoRR, 2020

Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting.
CoRR, 2020

Deep learning approaches for fast radio signal prediction.
CoRR, 2020

Deep learning approaches to classify the relevance and sentiment of news articles to the economy.
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.
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.
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.
Proceedings of the Advances in Artificial Intelligence, 2020

Predicting the Number of Reported Bugs in a Software Repository.
Proceedings of the Advances in Artificial Intelligence, 2020

Augmented Out-of-Sample Comparison Method for Time Series Forecasting Techniques.
Proceedings of the Advances in Artificial Intelligence, 2020

2019
Does chronology matter in JIT defect prediction?: A Partial Replication Study.
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.
Comput. Oper. Res., 2013


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