Samet Oymak
About
Samet Oymak has authored 47 papers that have received a total of 905 indexed citations.
This includes 25 papers in Artificial Intelligence, 19 papers in Computational Mechanics and 17 papers in Computer Vision and Pattern Recognition. The topics of these papers are Sparse and Compressive Sensing Techniques (19 papers), Statistical Methods and Inference (6 papers) and Stochastic Gradient Optimization Techniques (6 papers). Samet Oymak is often cited by papers focused on Sparse and Compressive Sensing Techniques (19 papers), Statistical Methods and Inference (6 papers) and Stochastic Gradient Optimization Techniques (6 papers) and collaborates with scholars based in United States, Türkiye and Israel. Samet Oymak's co-authors include Babak Hassibi, Mahdi Soltanolkotabi, Christos Thrampoulidis, Kishore Jaganathan and Necmiye Özay and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
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