163 citations · 724 across the 59 of their papers we have counts for
6 papers · 1 filter
Adversarial Classifier for Imbalanced Problems
Ehsan Montahaei, Mahsa Ghorbani, Mahdieh Soleymani Baghshah +1
Adversarial approach has been widely used for data generation in the last few years. However, this approach has not been extensively utilized for classifier training. In this paper…
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks
Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
Graph embedding is an important approach for graph analysis tasks such as node classification and link prediction. The goal of graph embedding is to find a low dimensional represen…
On Statistical Learning of Simplices: Unmixing Problem Revisited
Amir Najafi, Saeed Ilchi, Amir H. Saberi +3
We study the sample complexity of learning a high-dimensional simplex from a set of points uniformly sampled from its interior. Learning of simplices is a long studied problem in c…
Structural cost-optimal design of sensor networks for distributed estimation
Mohammadreza Doostmohammadian, Hamid R. Rabiee, Usman A. Khan
In this letter we discuss cost optimization of sensor networks monitoring structurally full-rank systems under distributed observability constraint. Using structured systems theory…
Deep Private-Feature Extraction
Seyed Ali Osia, Ali Taheri, Ali Shahin Shamsabadi +3
We present and evaluate Deep Private-Feature Extractor (DPFE), a deep model which is trained and evaluated based on information theoretic constraints. Using the selective exchange…
Steering Social Activity: A Stochastic Optimal Control Point Of View
Ali Zarezade, Abir De, Utkarsh Upadhyay +2
User engagement in online social networking depends critically on the level of social activity in the corresponding platform--the number of online actions, such as posts, shares or…