Ayse Basar

发表

Time Series Clustering for Grouping Products Based on Price and Sales Patterns

Mucahit Cevik, Aysun Bozanta, F. F. Gonen, 2022, ArXiv.

Wayback Machine: A tool to capture the evolutionary behavior of the bug reports and their triage process in open-source software systems

Antonio González Torres, Mucahit Cevik, H. Jahanshahi, 2020, J. Syst. Softw..

Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning

Ayse Basar, M. Cevik, Sanaz Mohammadjafari, 2022, ArXiv.

Interpretable Time Series Clustering Using Local Explanations

Ozan Ozyegen, Mucahit Cevik, Ayse Basar, 2022, ArXiv.

Identifying the requirement conflicts in SRS documents using transformer-based sentence embeddings

Mucahit Cevik, G. Malik, Ayse Basar, 2022, ArXiv.

Designing mm-wave electromagnetic engineered surfaces using generative adversarial networks

Ayse Basar, Ozan Ozyegen, Sanaz Mohammadjafari, 2021, Neural Computing and Applications.

Deep learning approaches to classify the relevance and sentiment of news articles to the economy

Mucahit Cevik, Ayse Basar, Jingli Wang, 2020, CASCON.

Interpreting financial time series with SHAP values

Karim El Mokhtari, Ayşe Başar, Ben Peachey Higdon, 2019, CASCON.

Classification of "Hot News" for Financial Forecast Using NLP Techniques

Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Analyzing Intracranial EEG in Pharmacoresistant Epilepsy Patients Using Hidden Markov Models and Time Series Forecasting Methods

Ayşe Başar, Mucahit Cevik, Ashok Bhowmick, 2020, SN Computer Science.

Time-Series-Based Classification of Financial Forecasting Discrepancies

Karim El Mokhtari, Ayse Basar, Ben Peachey Higdon, 2019, SGAI Conf..

Partially observable Markov decision process to generate policies in software defect management

Can Kavaklioglu, Ayse Basar, Shirin Akbarinasaji, 2020, J. Syst. Softw..

ADPTriage: Approximate Dynamic Programming for Bug Triage

Mucahit Cevik, H. Jahanshahi, Kianoush Mousavi, 2022, ArXiv.

A replication study on implicit feedback recommender systems with application to the data visualization recommendation

Mucahit Cevik, Aysun Bozanta, Can Kavaklioglu, 2021, Expert Syst. J. Knowl. Eng..

A Deep Reinforcement Learning Approach for the Meal Delivery Problem

Ayse Tosun Misirli, Sibel B. Sonuc, Mucahit Cevik, 2021, Knowl. Based Syst..

The Effects of Easing and Tightening the Lock-Down Intervention on the Spread of COVID-19

M. T. Baldassarre, Mucahit Cevik, Aysun Bozanta, 2020 .

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

A. Verma, F. Razak, Mucahit Cevik, 2023, ArXiv.

Prediction of the 2023 Turkish Presidential Election Results Using Social Media Data

Aysun Bozanta, Ayse Basar, Fuad Bayrak, 2023, arXiv.org.

Classifying multi-level product categories using dynamic masking and transformer models

Ozan Ozyegen, Mucahit Cevik, F. F. Gonen, 2022, Journal of Data, Information and Management.

A BERT-based transfer learning approach to text classification on software requirements specifications

Garima Malik, Ayşe Başar, Mucahit Cevik, 2021, Canadian Conference on AI.

Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data

Mucahit Cevik, Ayse Basar, D. Parikh, 2023, ArXiv.

Named Entity Recognition on Software Requirements Specification Documents

Garima Malik, Ayşe Başar, Mucahit Cevik, 2021, Canadian Conference on AI.

Sentiment Analysis of StockTwits Using Transformer Models

Mucahit Cevik, Aysun Bozanta, Ayse Basar, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Stock Index Forecasting Using Time Series Decomposition-Based and Machine Learning Models

Dhanya Jothimani, Ayse Basar, Dhanya Jothimani, 2019, SGAI Conf..

Text Classification for Predicting Multi-level Product Categories pdf

Ayse Basar, Hadi Jahanshahi, Ozan Ozyegen, 2021, CASCON.

An Empirical Study on Using CNNs for Fast Radio Signal Prediction

Ayse Basar, Ozan Ozyegen, Sanaz Mohammadjafari, 2020, SN Computer Science.

Deep learning approaches for fast radio signal prediction pdf

Karim El Mokhtari, Jonathan Ethier, Ayse Basar, 2020, ArXiv.

Using ProtoPNet for Interpretable Alzheimer's Disease Classification

Alzheimer's Disease Neuroimaging Initiative, Mucahit Cevik, Ayse Basar, 2021, Canadian Conference on AI.

Order dispatching for an ultra-fast delivery service via deep reinforcement learning

Ayse Tosun Misirli, Bilgin Kosucu, Ayse Basar, 2021, Applied Intelligence.

Financial Networks: A Study of the Toronto Stock Exchange

Dhanya Jothimani, Can Kavaklioglu, Ayse Basar, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Amalgamated Models for Detecting Duplicate Bug Reports

Sumeet Kaur Sehra, Sukhjit Singh Sehra, Ayse Basar, 2020, Canadian Conference on AI.

Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning

M. Wahab, Mucahit Cevik, Ayse Basar, 2023, Computational Economics.