Hanie Sedghi

12 papers and 130 indexed citations i.

Hanie Sedghi has authored 12 papers that have received a total of 130 indexed citations. This includes 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Tensor decomposition and applications (2 papers). Hanie Sedghi is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Tensor decomposition and applications (2 papers) and collaborates with scholars based in United States. Hanie Sedghi's co-authors include Anima Anandkumar, Philip M. Long, Edmond Jonckheere, Majid Janzamin and Ashish Sabharwal and has published in prestigious journals such as IEEE Transactions on Smart Grid, Neural Computation and Transactions of the Association for Computational Linguistics