Androıd kötücül yazılımlarından koruma sistemlerinin değerlendirilmesi ve görüntü işleme algoritmalarını yapay zekâ teknikleri ile melezleştirerek yeni bir algılama yaklaşımının geliştirilmesi (Evaluating the robustness of android anti-malware systems and developing a novel detection approach based on hybridizing image processing algorithms with artificial intelligence techniques) - Halit Bakir (2021)

DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms. - Halit Bakir; Rezan Bakir (Comput. Electr. Eng., 2023)

Evaluating the impact of tuned pre-trained architectures' feature maps on deep learning model performance for tomato disease detection. - Halit Bakir (Multim. Tools Appl., 2024)

A comprehensive experimental study for analyzing the effects of data augmentation techniques on voice classification. - Halit Bakir; Ayse Nur Çayir; Tugba Selcen Navruz (Multim. Tools Appl., 2024)

GA-ML: enhancing the prediction of water electrical conductivity through genetic algorithm-based end-to-end hyperparameter tuning. - Muhammed Furkan Gül; Halit Bakir (Earth Sci. Informatics, 2025)

A new method for tuning the CNN pre-trained models as a feature extractor for malware detection. - Halit Bakir (Pattern Anal. Appl., 2025)

VoteDroid: a new ensemble voting classifier for malware detection based on fine-tuned deep learning models. - Halit Bakir (Multim. Tools Appl., 2025)

Optimized deep learning-oriented strategy for predicting the location of delamination and detecting their shapes in composite structures. - Ufuk Demircioglu; Halit Bakir (Iran J. Comput. Sci., 2025)