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Ozkan Cigdem
Ozkan Cigdem
New York University
Verified email at nyulangone.org - Homepage
Title
Cited by
Cited by
Year
Sliding mode control approach for online learning as applied to type-2 fuzzy neural networks and its experimental evaluation
E Kayacan, O Cigdem, O Kaynak
IEEE transactions on industrial electronics 59 (9), 3510-3520, 2011
782011
Performance analysis of different classification algorithms using different feature selection methods on Parkinson's disease detection
O Cigdem, H Demirel
Journal of neuroscience methods 309, 81-90, 2018
472018
Effects of different covariates and contrasts on classification of Parkinson's disease using structural MRI
O Cigdem, I Beheshti, H Demirel
Computers in biology and medicine 99, 173-181, 2018
462018
Comparing the performances of PDF and PCA on Parkinson's disease classification using structural MRI images
O Cigdem, A Yilmaz, I Beheshti, H Demirel
2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018
202018
The performance of local-learning based clustering feature selection method on the diagnosis of parkinson’s disease using structural MRI
O Cigdem, H Demirel, D Unay
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
142019
A novel training method based on variable structure systems approach for interval type-2 fuzzy neural networks
E Kayacan, O Cigdem, O Kaynak
2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 142-149, 2011
92011
Classification of healthy siblings of bipolar disorder patients from healthy controls using MRI
O Cigdem, R Soyak, B Aydeniz, K Oguz, H Demirel, O Kitis, C Eker, ...
2019 Medical Technologies Congress (TIPTEKNO), 1-4, 2019
72019
Experimental study of an interval type-2 fuzzy neural network using sliding-mode online learning algorithm
O Cigdem, E Kayacan, O Kaynak
2011 8th Asian Control Conference (ASCC), 1181-1186, 2011
72011
A novel training method based on variable structure systems theory for fuzzy neural networks
O Cigdem, E Kayacan, MA Khanesar, O Kaynak, M Teshnehlab
Computational Intelligence in Control and Automation (CICA), 44-51, 2011
72011
Diagnosis of bipolar disease using correlation-based feature selection with different classification methods
O Cigdem, A Sulucay, A Yilmaz, K Oguz, H Demirel, O Kitis, C Eker, ...
2019 Medical Technologies Congress (TIPTEKNO), 1-4, 2019
52019
Classical and subsequence dynamic time warping for recognition of rigid body motion trajectories
O Cigdem, T De Laet, J De Schutter
2013 9th Asian Control Conference (ASCC), 1-6, 2013
52013
Artificial intelligence in knee osteoarthritis: A comprehensive review for 2022
O Cigdem, CM Deniz
Osteoarthritis Imaging 3 (3), 100161, 2023
42023
Classification of patients with bipolar disorder and their healthy siblings from healthy controls using mri
O Cigdem, E Horuz, R Soyak, B Aydeniz, A Sulucay, K Oguz, H Demirel, ...
2019 IEEE International Symposium on Medical Measurements and Applications …, 2019
42019
Invariant representations to reduce the variability in recognition of rigid body motion trajectories
T Delabie, O Cigdem, R Matthysen, T De Laet, J De Schutter
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012
42012
Effects of Covariates on Classification of BipolarDisorder Using Structural MRI
O Cigdem, E Horuz, R Soyak, B Aydeniz, A Sulucay, K Oguz, H Demirel, ...
2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering …, 2019
32019
Performance analysis of different feature selection methods on Parkinson’s disease diagnosis
O Cigdem, F Yeganli, H Demirel
Journal of Neuroscience Methods 309, 0
1
Effects of covariates on classification of bipolar disorder using structural MRI [Kovaryantlarin yapisal MRI görüntüler kullanilarak yapilan bipolar bozukluk …
O Cigdem, E Horuz, R Soyak, B Aydeniz, A Sulucay, K Oguz, H Demirel, ...
Institute of Electrical and Electronics Engineers Inc., 2019
2019
Parkinson’s Disease Detection Using Structural MRI
O Cigdem
Institute of Graduate Studies and Research, 2018
2018
Control and Signal Processing-Sliding Mode Control Approach for Online Learning as Applied to Type-2 Fuzzy Neural Networks and Its Experimental Evaluation
E Kayacan, O Cigdem, O Kaynak
IEEE Transactions on Industrial Electronics 59 (9), 3510, 2012
2012
Variable structure systems based online learning algorithms for type-1 and type-2 fuzzy neural networks
O Cigdem
Boğaziçi University/ Electrical and Electonics Engineering, 2011
2011
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Articles 1–20