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Ömer M. Soysal
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2020 – today
- 2024
- [c11]Muhammed Esad Oztemel, Ömer Muhammet Soysal:
Effect of Signal Conditioning and Evoked-Potential Based Representation on Stability and Distinctiveness of EEG Brain Signatures. ISDFS 2024: 1-7 - 2022
- [j8]Kazim Sekeroglu
, Ömer Muhammet Soysal
Multi-Perspective Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. Sensors 22(22): 8949 (2022) - 2021
- [c10]Murtaza Aslam, Fozia Rajbdad, Ömer M. Soysal:
Weight Perception Analysis using Electroencephalographic Signals : Full/regular papers, CSCI-ISPC. CSCI 2021: 1678-1683
2010 – 2019
- 2019
- [j7]Masoud Zadghorban Lifkooee, Ömer M. Soysal
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) - [c9]Kazim Sekeroglu, Ömer Muhammet Soysal, Xin Li:
Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. MLDM (2) 2019: 792-804 - 2017
- [j6]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) - 2016
- [j5]Ömer M. Soysal, Eera Gupta, Harisha Donepudi:
A sparse memory allocation data structure for sequential and parallel association rule mining. J. Supercomput. 72(2): 347-370 (2016) - 2015
- [j4]Ömer M. Soysal:
Association rule mining with mostly associated sequential patterns. Expert Syst. Appl. 42(5): 2582-2592 (2015) - 2013
- [j3]Ömer M. Soysal, Jianhua Chen:
Object recognition by spectral feature derived from canonical shape representation. Mach. Vis. Appl. 24(4): 855-868 (2013) - 2012
- [j2]Ömer M. Soysal, Jianhua Chen, Helmut Schneider:
Efficient photometric feature extraction in a hierarchical learning scheme for nodule detection. Int. J. Granul. Comput. Rough Sets Intell. Syst. 2(4): 314-326 (2012) - 2011
- [j1]J. Shreve, Helmut Schneider
A methodology for comparing classification methods through the assessment of model stability and validity in variable selection. Decis. Support Syst. 52(1): 247-257 (2011) - 2010
- [c8]Ömer M. Soysal, Jianhua Chen, Steven Bujenovic, Helmut Schneider:
A Hierarchical Decision Engine for Computer Aided Lung Nodule Detection from CT Images. BIOCOMP 2010: 387-393 - [c7]Ömer M. Soysal, Jianhua Chen, Helmut Schneider
An Image Processing Tool for Efficient Feature Extraction in Computer-Aided Detection Systems. GrC 2010: 438-442 - [c6]Ömer M. Soysal, San Chu, Helmut Schneider, Cory Hutchinson:
Information Visualization Using Sub-segment Road Statistics Obtained by Coordinate Transformation in GIS Environment. MSV 2010: 303-306 - [c5]Mohammad Salam, Ömer M. Soysal, Helmut Schneider:
Integration of Wireless Sensor Networks in Geographical Information Systems: A survey. MSV 2010: 307-314 - [e1]Hamid R. Arabnia, Leonidas Deligiannidis, Ashu M. G. Solo, Ömer M. Soysal:
Proceedings of the 2010 International Conference on Modeling, Simulation & Visualization Methods, MSV 2010, July 12-15, 2010, Las Vegas Nevada, USA. CSREA Press 2010, ISBN 1-60132-155-4 [contents]
2000 – 2009
- 2008
- [c4]Ömer M. Soysal, Jianhua Chen, Helmut Schneider:
A New Spectral Feature for Shape Comparison. IPCV 2008: 23-27 - 2007
- [c3]Ahmet Tan, Osman Kandara, Ömer M. Soysal, Helmut Schneider:
Neural Network Based Missing Data Recovery For Crash Database. DMIN 2007: 331-337 - [c2]Ömer M. Soysal, Jianhua Chen:
Matching Polygons Using Canonical String Representation. IPCV 2007: 407-413 - 2006
- [c1]Ömer M. Soysal, Bahadir K. Gunturk
Image Retrieval using Canonical Cyclic String Representation of Polygons. ICIP 2006: 1493-1496
Coauthor Index
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