| Saldırı Tespit Sistemlerinde Makine Öğrenme Metotlarının Kullanımı M Burukanlı, Ü Budak, M Çıbuk Uluslararası Bilim ve Mühendislik Sempozyumu 20 (22), 1052-1057, 2019 | 6 | 2019 |
| TfrAdmCov: a robust transformer encoder based model with Adam optimizer algorithm for COVID-19 mutation prediction M Burukanli, N Yumuşak Connection Science 36 (1), 2365334, 2024 | 4 | 2024 |
| COVID-19 virus mutation prediction with LSTM and attention mechanisms M Burukanli, N Yumuşak The Computer Journal 67 (10), 2934-2944, 2024 | 4 | 2024 |
| Saldırı tespiti için makine öğrenme yöntemlerinin karşılaştırmalı analizi M Burukanlı, M Çıbuk, Ü Budak Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 10 (2), 613-624, 2021 | 4 | 2021 |
| StackGridCov: a robust stacking ensemble learning-based model integrated with GridSearchCV hyperparameter tuning technique for mutation prediction of COVID-19 virus M Burukanli, N Yumuşak Neural Computing and Applications 36 (35), 22379-22401, 2024 | 3 | 2024 |
| Mutation prediction and analysis for COVID-19 virus using machine learning algorithms M Burukanlı, N Yumuşak II. International Marmara Scientific Studies Congress, 333-340, 2024 | | 2024 |
| Intrusion Detection and Performance Analysis Using Copula Functions M Burukanlı, M Çıbuk Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 13 (4), 1335-1354, 2024 | | 2024 |
| Mutation Detection and Analysis for COVID-19 Virus Isolated in Turkey M Burukanlı, N Yumuşak IV. INTERNATIONAL ANKARA MULTIDISCIPLINARY STUDIES CONGRESS, 887-891, 2022 | | 2022 |