Ayse Basar

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 59

Top Topics

Defect Prediction

Software Requirements

Top Venues

Canadian Conference on AI

Publications

Garima Malik, Mucahit Cevik, Ayse Basar
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs. CASCON (2023)
Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi, Ayse Basar
ADPTriage: Approximate Dynamic Programming for Bug Triage. IEEE Trans. Software Eng. 49 (10) (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)
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)
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)
Aysun Bozanta, Fuad Bayrak, Ayse Basar
Prediction of the 2023 Turkish Presidential Election Results Using Social Media Data. CoRR (2023)
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)
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)
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)
Garima Malik, Mucahit Cevik, Swayami Bera, Savas Yildirim, Devang Parikh, Ayse Basar
Software requirement specific entity extraction using transformer models. AI (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)
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)
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)
Beyza Eken, Francis Palma, Ayse Basar, Ayse Tosun
An empirical study on the effect of community smells on bug prediction. Softw. Qual. J. 29 (1) (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)
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)
Sukhjit Singh Sehra, Tamer Abdou, Ayse Basar, Sumeet Kaur Sehra
Amalgamated Models for Detecting Duplicate Bug Reports. Canadian Conference on AI (2020)
Hadi Jahanshahi, Mucahit Cevik, Ayse Basar
Predicting the Number of Reported Bugs in a Software Repository. 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)
Shirin Akbarinasaji, Can Kavaklioglu, Ayse Basar, Adam Neal
Partially observable Markov decision process to generate policies in software defect management. J. Syst. Softw. 163 (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)
Karim El Mokhtari, Ben Peachey Higdon, Ayse Basar
Interpreting financial time series with SHAP values. CASCON (2019)
Ben Peachey Higdon, Karim El Mokhtari, Ayse Basar
Time-Series-Based Classification of Financial Forecasting Discrepancies. SGAI Conf. (2019)
Abel Ag Rb Guimaraes, Tamer Abdou, Ayse Basar
Deep learning brain regions in Harvard-Oxford atlas using SegNet model. CASCON (2019)
Ozan Ozyegen, Emir Kavurmacioglu, Jonathan Ethier, Ayse Basar
Generative adversarial networks in designing electromagnetic engineered surfaces for mm-Wave band spectrum environments. CASCON (2019)
Hadi Jahanshahi, Dhanya Jothimani, Ayse Basar, Mucahit Cevik
Does chronology matter in JIT defect prediction?: A Partial Replication Study. PROMISE (2019)
Dhanya Jothimani, Ayse Basar
Stock Index Forecasting Using Time Series Decomposition-Based and Machine Learning Models. SGAI Conf. (2019)
Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar
Deep Learning Approaches for Sentiment Analysis on Financial Microblog Dataset. IEEE BigData (2019)
Sravya Polisetty, Andriy V. Miranskyy, Ayse Basar
On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners. PROMISE (2019)
Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar
Classification of "Hot News" for Financial Forecast Using NLP Techniques. IEEE BigData (2018)
Dhanya Jothimani, Can Kavaklioglu, Ayse Basar
Financial Networks: A Study of the Toronto Stock Exchange. IEEE BigData (2018)