High performance concrete compressive strength forecasting using ensemble models based on discrete wavelet transform HI Erdal, O Karakurt, E Namli Engineering Applications of Artificial Intelligence 26 (4), 1246-1254, 2013 | 172 | 2013 |
Modelling sovereign credit ratings: The accuracy of models in a heterogeneous sample H Ozturk, E Namli, HI Erdal Economic Modelling 54, 469-478, 2016 | 73 | 2016 |
Building information management (BIM), a new approach to project management MN Kocakaya, E Namlı, Ü Işıkdağ Journal of sustainable construction materials and technologies 4 (1), 323-332, 2019 | 64 | 2019 |
A comparative assessment of bagging ensemble models for modeling concrete slump flow HY Aydogmus, HI Erdal, O Karakurt, E Namli, YS Turkan, H Erdal Computers and Concrete 16 (5), 741-757, 2015 | 54 | 2015 |
A living environment prediction model using ensemble machine learning techniques based on quality of life index Z Erdoğan, E Namlı Journal of Ambient Intelligence and Humanized Computing, 1-17, 2019 | 19 | 2019 |
Artificial intelligence-based prediction models for energy performance of residential buildings E Namlı, H Erdal, HI Erdal Recycling and Reuse Approaches for Better Sustainability, 141-149, 2019 | 18 | 2019 |
Machine Learning and Classical Forecasting Methods Based Decision Support Systems for COVID-19. R Ünlü, E Namlı Computers, Materials & Continua 64 (3), 2020 | 16 | 2020 |
Enhanced predictive models for construction costs: A case study of Turkish mass housing sector LO Ugur, R Kanit, H Erdal, E Namli, HI Erdal, UN Baykan, M Erdal Computational Economics 53, 1403-1419, 2019 | 16 | 2019 |
Reducing overreliance on sovereign credit ratings: Which model serves better? H Ozturk, E Namli, HI Erdal Computational Economics 48, 59-81, 2016 | 16 | 2016 |
Yapay zekâ modelleri ile betonarme yapilara ait enerji performans siniflarinin tahmini E NAMLI, M YÜCEL Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 22 (3), 325-346, 2018 | 12 | 2018 |
Comparing ensembles of decision trees and neural networks for one-day-ahead stream flow predict O Karakurt, HI Erdal, E Namli, H Yumurtaci-Aydogmus, YS Turkkan Science Park 1 (17), 1-12, 2013 | 12 | 2013 |
High performance concrete (HPC) compressive strength prediction with advanced machine learning methods: combinations of machine learning algorithms with bagging, rotation … M Yucel, E Namlı Artificial Intelligence and Machine Learning Applications in Civil …, 2020 | 11 | 2020 |
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 |
Dalgacık dönüşümü ile beton basınç dayanım tahmininin iyileştirilmesi E NAMLI, Hİ ERDAL, H ERDAL Politeknik Dergisi 19 (4), 471-480, 2016 | 8 | 2016 |
Comparing ensembles of decision trees and neural networks for one-day-ahead streamflow prediction HI Erdal, E Namli, H Yumurtaci Aydogmus, YS Turkan Scientific Research Journal, I (IV), 43-55, 2013 | 5 | 2013 |
Proje yönetimi kapsamında risk tabanlı ve yapay zeka destekli bir maliyet tahmin modeli E Namlı İstanbul Üniversitesi Fen Bilimleri Enstitüsü (Doktora Tezi), İstanbul, 2012 | 4 | 2012 |
GÖRÜNTÜ İŞLEME TABANLI İHA VE UYDU SİSTEMLERİ HİBRİT YAPAY ZEKÂ MODELİYLE KAÇAK YAPILARIN TESPİTİ AY Batuhan, E NAMLI Yönetim Bilişim Sistemleri Dergisi 3 (2), 114-129, 2017 | 3 | 2017 |
Müşteri odaklı pazarlama stratejileri için veri madenciliği teknikleri kapsamında perakende sektöründe kümeleme analizi uygulaması E Namlı, S Murat Gümüşhane Üniversitesi Sosyal Bilimler Dergisi 10, 317-327, 2019 | 2 | 2019 |
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 |
BANKA TELEPAZARLAMA BAŞARISININ TAHMİNİ İÇİN BİR BİRLEŞİK MAKİNE ÖĞRENME TABANLI KARAR DESTEK MODELİ Ö ALGORABİ, E NAMLI Verimlilik Dergisi, 94-109, 2022 | 1 | 2022 |