Shape and Texture Based Novel Features for Automated Juxtapleural Nodule Detection in Lung CTs. - Erdal Tasci; Aybars Ugur (J. Medical Syst., 2015)

Development of a novel feature weighting method using CMA-ES optimization. - Erdal Tasci; Osman Gökalp; Aybars Ugur (SIU, 2018)

Image classification using ensemble algorithms with deep learning and hand-crafted features. - Erdal Tasci; Aybars Ugur (SIU, 2018)

Görüntüler üzerinde öznitelik çıkarma ve seçimine odaklı bir örüntü tanıma çerçevesi geliştirilmesi (Development of a pattern recognition framework focusing on feature extraction and selection on images) - Erdal Tasci (2018)

A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification. - Osman Gökalp; Erdal Tasci; Aybars Ugur (Expert Syst. Appl., 2020)

Voting combinations-based ensemble of fine-tuned convolutional neural networks for food image recognition. - Erdal Tasci (Multim. Tools Appl., 2020)

A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection. - Erdal Tasci; Caner Uluturk; Aybars Ugur (Neural Comput. Appl., 2021)

A novel pattern recognition framework based on ensemble of handcrafted features on images. - Erdal Tasci; Aybars Ugur (Multim. Tools Appl., 2022)

Glioma Grading Clinical and Mutation Features Dataset. - Erdal Tasci; Kevin Camphausen; Andra Valentina Krauze; Ying Zhuge (UCI Machine Learning Repository, 2022)