Ozkan Cigdem

According to our database, Ozkan Cigdem authored at least 9 papers between 2011 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

The Performance of Local-Learning Based Clustering Feature Selection Method on the Diagnosis of Parkinson's Disease Using Structural MRI.

Ozkan Cigdem, Hasan Demirel, Devrim Ünay

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Classification of Patients with Bipolar Disorder and Their Healthy Siblings from Healthy Controls Using MRI.

Ozkan Cigdem, Erencan Horuz, Refik Soyak, Burhan Aydeniz, Aysu Sulucay, Kaya Oguz, Hasan Demirel, Omer Kitis, Cagdas Eker, Ali Saffet Gonul, Devrim Ünay

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019

2018

Effects of different covariates and contrasts on classification of Parkinson's disease using structural MRI.

Ozkan Cigdem, Iman Beheshti, Hasan Demirel

Comput. Biol. Medicine, 2018

Comparing the performances of PDF and PCA on Parkinson's disease classification using structural MRI images.

Ozkan Cigdem, Arif Yilmaz, Iman Beheshti, Hasan Demirel

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2013

Classical and subsequence dynamic time warping for recognition of rigid body motion trajectories.

Ozkan Cigdem, Tinne De Laet, Joris De Schutter

Proceedings of the 9th Asian Control Conference, 2013

2012

Sliding Mode Control Approach for Online Learning as Applied to Type-2 Fuzzy Neural Networks and Its Experimental Evaluation.

Erdal Kayacan, Ozkan Cigdem, Okyay Kaynak

IEEE Trans. Ind. Electron., 2012

Invariant representations to reduce the variability in recognition of rigid body motion trajectories.

Tjorven Delabie, Ozkan Cigdem, Jochem F. M. De Schutter, Roel Matthysen, Tinne De Laet, Joris De Schutter

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011

A novel training method based on variable structure systems approach for interval type-2 fuzzy neural networks.

Erdal Kayacan, Ozkan Cigdem, Okyay Kaynak

Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011

A novel training method based on variable structure systems theory for fuzzy neural networks.

Ozkan Cigdem, Erdal Kayacan, Mojtaba Ahmadieh Khanesar, Okyay Kaynak, Mohammad Teshnehlab

Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2011