Comparison of SIFT, Bi-SIFT, and Tri-SIFT and their frequency spectrum analysis. - Kazim Sekeroglu; Ömer M. Soysal (Mach. Vis. Appl., 2017)

Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. - Kazim Sekeroglu; Ömer Muhammet Soysal; Xin Li (MLDM (2), 2019)

Video mining for facial action unit classification using statistical spatial-temporal feature image and LoG deep convolutional neural network. - Masoud Zadghorban Lifkooee; Ömer M. Soysal; Kazim Sekeroglu (Mach. Vis. Appl., 2019)

Improved Assessment of Offshore Helideck Marking Standards' Compliance using Optimized Machine Learning Principles in the U.S. Gulf of Mexico. - Mitchell Bosman; Kazim Sekeroglu; Ghassan Alkadi (IMPROVE, 2022)

Classification of EEG Motor Imagery Tasks Utilizing 2D Temporal Patterns with Deep Learning. - Anup Ghimire; Kazim Sekeroglu (IMPROVE, 2022)

A Novel Portable Real-Time Low-Cost Sleep Apnea Monitoring System based on the Global System for Mobile Communications (GSM) Network. - Harun Sümbül; Ahmet Hayrettin Yüzer; Kazim Sekeroglu (Medical Biol. Eng. Comput., 2022)

Multi-Perspective Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. - Kazim Sekeroglu; Ömer Muhammet Soysal (Sensors, 2022)

Decoding Visual Stimuli and Visual Imagery Information from EEG Signals Utilizing Multi-Perspective 3D-CNN Based Hierarchical Deep-Fusion Learning Network. - Fatma Yusranur Emanet; Kazim Sekeroglu (VISIGRAPP (4): VISAPP, 2024)