| Expert system based on neuro-fuzzy rules for diagnosis breast cancer A Keleş, A Keleş, U Yavuz Expert systems with applications 38 (5), 5719-5726, 2011 | 195 | 2011 |
| ESTDD: Expert system for thyroid diseases diagnosis A Keleş, A Keleş Expert Systems with Applications 34 (1), 242-246, 2008 | 183 | 2008 |
| ZOSMAT: Web-based intelligent tutoring system for teaching–learning process A Keleş, R Ocak, A Keleş, A Gülcü Expert Systems with Applications 36 (2), 1229-1239, 2009 | 149 | 2009 |
| Neuro-fuzzy classification of prostate cancer using NEFCLASS-J A Keles, AS Hasiloglu, A Keles, Y Aksoy Computers in Biology and Medicine 37 (11), 1617-1628, 2007 | 68 | 2007 |
| COV19-CNNet and COV19-ResNet: diagnostic inference Engines for early detection of COVID-19 A Keles, MB Keles, A Keles Cognitive Computation, 1-11, 2021 | 63 | 2021 |
| The adaptive neuro-fuzzy model for forecasting the domestic debt A Keles, M Kolcak, A Keles Knowledge-Based Systems 21 (8), 951-957, 2008 | 55 | 2008 |
| Extracting fuzzy rules for the diagnosis of breast cancer A Keleş, A Keleş Turkish Journal of Electrical Engineering and Computer Sciences 21 (5), 1495 …, 2013 | 30 | 2013 |
| Expert doctor verdis: integrated medical expert system A KELEŞ Turkish Journal of Electrical Engineering and Computer Sciences 22 (4), 1032 …, 2014 | 21 | 2014 |
| PAZARLAMA ALANINDA YAPAY ZEKÂ KULLANIM POTANSİYELİ VE AKILLI KARAR DESTEK SİSTEMLERİ. A Keleş, A Keleş, E Akçetin Electronic Turkish Studies 12 (11), 2017 | 20 | 2017 |
| Öğrenme-öğretme sürecinde yapay zeka ve web tabanlı zeki öğretim sistemi tasarımı ve matematik öğretiminde bir uygulama A Keleş Fen Bilimleri Enstitüsü, 2007 | 13 | 2007 |
| IBMMS decision support tool for management of bank telemarketing campaigns A Keles, A Keles arXiv preprint arXiv:1511.03532, 2015 | 12 | 2015 |
| NESNELERİN İNTERNETİNİN GETİRDİĞİ YENİLİKLER VE SORUNLARI. A KELEŞ, A KELEŞ Electronic Turkish Studies 13 (13), 2018 | 11 | 2018 |
| Bilgisayar destekli öğretim ve zeki öğretim sistemleri A Keleş, BU AytürkKELEŞ Erişim: http://inet-tr. org. tr/inetconf8/bildiri/3. doc (2 Şubat 2009), 2002 | 9 | 2002 |
| Intelligent tutoring systems: best practices A Keles, A Keles Intelligent Tutoring Systems in E-Learning Environments: Design …, 2011 | 8 | 2011 |
| MAKİNE ÖĞRENMESİ YÖNTEMLERİ İLE UÇUŞ FİYATLARININ TAHMİNİ MB KELEŞ, A KELEŞ, A KELEŞ Euroasia Journal of Mathematics, Engineering, Natural & Medical Sciences 7 …, 2020 | 6 | 2020 |
| BİDEMAT-ZEKİ ÖĞRETİM SİSTEMİ. A KELEŞ, A KELEŞ Electronic Turkish Studies 12 (6), 2017 | 6 | 2017 |
| FEN EĞİTİMİNDE 3D ANİMAYONLAR İLE SOYUT KONU VE KAVRAMLARIN ÖĞRETİLMESİ. İ ÇEVİK, A Keleş, A KELEŞ Electronic Turkish Studies 12 (6), 2017 | 6 | 2017 |
| PARNet: Deep neural network for the diagnosis of parkinson's disease A Keles, A Keles, MB Keles, A Okatan Multimedia Tools and Applications, 1-13, 2023 | 4 | 2023 |
| Yapay Zekâ Teknolojisi ile Uçuş Fiyatı Tahmin Modeli Geliştirme. MB Keleş, A Keleş, A Keleş Turkish Studies-Information Technologies & Applied Sciences 15 (4), 2020 | 4 | 2020 |
| Yapay Zekâ Metotları ile Hastalık Teşhisi ve Örnek Bir Uygulama A Keleş, A Keleş Sağlıkta Yeni Teknolojiler ve Mobilite, 2007 | 3 | 2007 |
