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2020 – today
- 2024
[c4]Fatma Yusranur Emanet, Kazim Sekeroglu:
Decoding Visual Stimuli and Visual Imagery Information from EEG Signals Utilizing Multi-Perspective 3D-CNN Based Hierarchical Deep-Fusion Learning Network. VISIGRAPP (4): VISAPP 2024: 381-388- 2022
- [j4]Harun Sümbül
, Ahmet Hayrettin Yüzer, Kazim Sekeroglu:
A Novel Portable Real-Time Low-Cost Sleep Apnea Monitoring System based on the Global System for Mobile Communications (GSM) Network. Medical Biol. Eng. Comput. 60(2): 619-632 (2022) - [j3]Kazim Sekeroglu, Ömer Muhammet Soysal:
Multi-Perspective Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. Sensors 22(22): 8949 (2022) - [c3]Anup Ghimire, Kazim Sekeroglu:
Classification of EEG Motor Imagery Tasks Utilizing 2D Temporal Patterns with Deep Learning. IMPROVE 2022: 182-188 - [c2]Mitchell Bosman, Kazim Sekeroglu, Ghassan Alkadi:
Improved Assessment of Offshore Helideck Marking Standards' Compliance using Optimized Machine Learning Principles in the U.S. Gulf of Mexico. IMPROVE 2022: 234-241
2010 – 2019
- 2019
- [j2]Masoud Zadghorban Lifkooee, Ömer M. Soysal, Kazim Sekeroglu:
Video mining for facial action unit classification using statistical spatial-temporal feature image and LoG deep convolutional neural network. Mach. Vis. Appl. 30(1): 41-57 (2019) - [c1]Kazim Sekeroglu, Ömer Muhammet Soysal, Xin Li:
Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. MLDM (2) 2019: 792-804 - 2017
- [j1]Kazim Sekeroglu, Ömer M. Soysal:
Comparison of SIFT, Bi-SIFT, and Tri-SIFT and their frequency spectrum analysis. Mach. Vis. Appl. 28(8): 875-902 (2017)
Coauthor Index
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