| Breast cancer prediction and detection using data mining classification algorithms: a comparative study MK Keleş Tehnički vjesnik 26 (1), 149-155, 2019 | 81 | 2019 |
| Integrating an online compiler and a plagiarism detection tool into the Moodle distance education system for easy assessment of programming assignments M Kaya, SA Özel Computer Applications in Engineering Education 23 (3), 363-373, 2015 | 51 | 2015 |
| A review of distance learning and learning management systems MK Keleş, SA Özel Virtual learning, 2016 | 41 | 2016 |
| Distance education systems used in universities of Turkey and Northern Cyprus M Kaya Procedia-Social and Behavioral Sciences 31, 676-680, 2012 | 36 | 2012 |
| Açık kaynak kodlu veri madenciliği yazılımlarının karşılaştırılması M Kaya, SA Özel Akademik Bilişim, 1-8, 2014 | 35 | 2014 |
| Construction crew productivity prediction by using data mining methods M Kaya, AE Keleş, EL Oral Procedia-Social and Behavioral Sciences 141, 1249-1253, 2014 | 33 | 2014 |
| Breast cancer detection using K‐nearest neighbors data mining method obtained from the bow‐tie antenna dataset EA Aydın, M Kaya Keleş International Journal of RF and Microwave Computer‐Aided Engineering 27 (6 …, 2017 | 29 | 2017 |
| Artificial bee colony algorithm for feature selection on SCADI dataset MK Keleş, Ü Kılıç 2018 3rd International conference on computer science and engineering (UBMK …, 2018 | 20 | 2018 |
| An overview: The impact of data mining applications on various sectors M Kaya Keleş Tehnički glasnik 11 (3), 128-132, 2017 | 19 | 2017 |
| Feature selection with artificial bee colony algorithm on Z-Alizadeh Sani dataset Ü Kiliç, MK Keleş 2018 innovations in intelligent systems and applications conference (asyu), 1-3, 2018 | 18 | 2018 |
| Classification of brain volumetric data to determine Alzheimer’s disease using artificial bee colony algorithm as feature selector MK Keleş, Ü Kiliç IEEE Access 10, 82989-83001, 2022 | 12 | 2022 |
| Prediction of concrete strength with data mining methods using artificial bee colony as feature selector MK KELEŞ, AE KELEŞ, Ü KILIÇ 2018 International Conference on Artificial Intelligence and Data Processing …, 2018 | 12 | 2018 |
| Duvar İnşa Edilmesinde Verimliliği Etkileyen Faktörlerin Apriori Veri Madenciliği Yöntemi Kullanılarak Analizi AE Keleş, M Kaya Akademik Bilişim Konferansı, AB2014 Bildiriler Kitapçığı, 831-836, 2014 | 12 | 2014 |
| UWB rectangular microstrip patch antenna design in matching liquid and evaluating the classification accuracy in data mining using random forest algorithm for breast cancer … E Avşar Aydin, M Kaya Keleş Journal of Electrical Engineering & Technology 14 (5), 2127-2136, 2019 | 11 | 2019 |
| İnşaat Sektöründe Kullanımı Artan Bilgisayar Yazılımları ve Bilgi Teknolojilerinin İrdelenmesi AE KELEŞ, MK KELEŞ El-Cezeri Journal of Science and Engineering 5 (2), 610-617, 2018 | 10 | 2018 |
| Similarity detection between Turkish text documents with distance metrics MK Keleş, SA Özel 2017 International Conference on Computer Science and Engineering (UBMK …, 2017 | 10 | 2017 |
| Binary black widow optimization approach for feature selection MK Keleş, Ü Kiliç IEEE Access 10, 95936-95948, 2022 | 9 | 2022 |
| Proposed artificial bee colony algorithm as feature selector to predict the leadership perception of site managers M Kaya Keles, U Kilic, AE Keles The Computer Journal 64 (3), 408-417, 2021 | 9 | 2021 |
| Binary Anarchic Society Optimization for Feature Selection K Umit, SE Esra, KK Mumine ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY 26 (3–4), 351–364, 2023 | 8 | 2023 |
| The investigation of the applicability of data-driven techniques in hydrological modeling: The case of seyhan basin E Turhan, MK Keleş, A Tantekin, AE Keleş Rocznik Ochrona Środowiska 21, 2019 | 8 | 2019 |
Abdullah Emre KeleşAdana Bilim ve Teknoloji ÜniversitesiVerified email at atu.edu.tr
