| Estimating the number of clusters in a dataset via consensus clustering R Ünlü, P Xanthopoulos Expert Systems with Applications 125, 33-39, 2019 | 136 | 2019 |
| Predicting stock prices using machine learning methods and deep learning algorithms: The sample of the Istanbul Stock Exchange U Demirel, H Çam, R Ünlü Gazi University Journal of Science 34 (1), 63-82, 2021 | 34 | 2021 |
| A weighted framework for unsupervised ensemble learning based on internal quality measures R Ünlü, P Xanthopoulos Annals of Operations Research 276, 229-247, 2019 | 24 | 2019 |
| Detection of damaged buildings after an earthquake with convolutional neural networks in conjunction with image segmentation R Ünlü, R Kiriş The Visual Computer 38 (2), 685-694, 2022 | 18 | 2022 |
| Machine Learning and Classical Forecasting Methods Based Decision Support Systems for COVID-19. R Ünlü, E Namlı Computers, Materials & Continua 64 (3), 2020 | 17 | 2020 |
| A comparative study of machine learning and deep learning for time series forecasting: a case study of choosing the best prediction model for Turkey electricity production R Ünlü Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 23 (2), 635-646, 2019 | 16 | 2019 |
| Cost-oriented LSTM methods for possible expansion of control charting signals R Ünlü Computers & Industrial Engineering 154, 107163, 2021 | 14 | 2021 |
| A robust data simulation technique to improve early detection performance of a classifier in control chart pattern recognition systems R Ünlü Information Sciences 548, 18-36, 2021 | 13 | 2021 |
| A reduced variance unsupervised ensemble learning algorithm based on modern portfolio theory R Ünlü, P Xanthopoulos Expert Systems with Applications 180, 115085, 2021 | 12 | 2021 |
| FİYAT TAHMİNLEMESİNDE MAKİNE ÖĞRENMESİ TEKNİKLERİ VE DOĞRUSAL REGRESYON YÖNTEMLERİNİN KIYASLANMASI; TÜRKİYE’DE SATILAN İKİNCİ EL ARAÇ FİYATLARININ TAHMİNLENMESİNE YÖNELİK BİR … E Namlı, R Ünlü, E Gül Konya Journal of Engineering Sciences 7 (4), 806-821, 2019 | 11 | 2019 |
| An assessment of machine learning models for slump flow and examining redundant features R Ünlü Comput. Concr 25 (6), 565-574, 2020 | 10 | 2020 |
| Türkiye’de yapılan kuraklık analiz çalışmaları üzerine bir derleme YD Öztürk, R Ünlü Afet ve Risk Dergisi 5 (2), 669-680, 2022 | 8 | 2022 |
| Sessiz Devrimin Yansımaları: Metin madenciliği ile Türkiye büyükşehir ve il Belediyelerinin GZFT (SWOT) analizlerinin büyük resmi O Demirbağ, R Ünlü Gümüşhane Üniversitesi Sosyal Bilimler Dergisi 10, 191-210, 2019 | 4 | 2019 |
| An Assessment of imbalanced control chart pattern recognition by artificial neural networks R Ünlü Research Anthology on Artificial Neural Network Applications, 683-702, 2022 | 3 | 2022 |
| Classification of historical Anatolian coins with machine learning algorithms R Ünlü Alphanumeric Journal 7 (2), 275-288, 2019 | 2 | 2019 |
| Biyokimya laboratuvarı çalışanlarının iş güvenliği profilleri ve kişisel koruyucu tedbirlerin uygulanmasındaki mesleki tutumlarının değerlendirilmesi B Filikçi, ES Çırakcı, A Şengül, E Aktı, B Yeşil, RO Ünlü, AH Koçak | 2 | 2016 |
| Smart Estimation Model for Energy Performance Certificates of Residential Buildings ANA Tüylü, E Namlı, M Yücel, R Unlu Journal of Engineering Research, 2022 | 1 | 2022 |
| Safer-Driving: Application of Deep Transfer Learning to Build Intelligent Transportation Systems R Ünlü Deep Learning and Big Data for Intelligent Transportation: Enabling …, 2021 | 1 | 2021 |
| The Role of Artificial Intelligence in Productivity: A Case Study of Wine Quality Prediction R Ünlü Avrupa Bilim ve Teknoloji Dergisi, 280-286, 2020 | 1 | 2020 |
| Weighting Policies for Robust Unsupervised Ensemble Learning R Unlu | 1 | 2017 |
Petros XanthopoulosAssociate professor, Executive Director of Graduate Programs, Stetson UniversityVerified email at stetson.edu
