Fatos Tünay Yarman Vural - researchr alias

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Viewing Publication 1 - 10 from 10

2023

Early Diagnosis of Alzheimer Disease with Shannon Information Source Model of the BrainUlas Sedat Aydin, Abdulla Ahmadkhan, Gonul Gunal Degirmendereli, Fatos Tünay Yarman Vural. icecsys 2023: 1-4 [doi]

Editorial: Machine learning methods for human brain imagingFatos Tünay Yarman Vural, Sharlene D. Newman, Tolga Çukur, Itir Önal Ertugrul. fini, 17, March 2023. [doi]

2018

Modeling Brain Networks with Artificial Neural NetworksBaran Baris Kivilcim, Itir Onal Ertugrul, Fatos Tünay Yarman Vural. miccai 2018: 43-53 [doi]

BrainParcel: A Brain Parcellation Algorithm for Cognitive State ClassificationHazal Mogultay, Fatos Tünay Yarman Vural. miccai 2018: 32-42 [doi]

2016

Hierarchical distance learning by stacking nearest neighbor classifiersMete Ozay, Fatos Tünay Yarman Vural. inffus, 29:14-31, 2016. [doi]

Machine Learning Methods for Attack Detection in the Smart GridMete Ozay, Inaki Esnaola, Fatos Tünay Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor. tnn, 27(8):1773-1786, 2016. [doi]

2012

Conditional Random Fields for Land Use/Land Cover Classification and Complex Region DetectionGulcan Can, Orhan Firat, Fatos Tünay Yarman Vural. gacm 2012: 216-224 [doi]

2009

A new decision fusion technique for image classificationMete Ozay, Fatos Tünay Yarman Vural. icip 2009: 2189-2192 [doi]

2008

On the Performance of Stacked Generalization ClassifiersMete Ozay, Fatos Tünay Yarman Vural. iciar 2008: 445-454 [doi]

1989

The generalized H-lattice filter and estimation of the ARMA modelsFatos Tünay Yarman Vural, Dennis Wawrzynski, A. E. Cetin. tsp, 37(1):147-151, 1989. [doi]

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