3 citations · 7 across the 7 of their papers we have counts for
7 papers · 1 filter
Checkovid: A COVID-19 misinformation detection system on Twitter using network and content mining perspectives
Sajad Dadgar, Mehdi Ghatee
During the COVID-19 pandemic, social media platforms were ideal for communicating due to social isolation and quarantine. Also, it was the primary source of misinformation dissemin…
Low-rank Dictionary Learning for Unsupervised Feature Selection
Mohsen Ghassemi Parsa, Hadi Zare, Mehdi Ghatee
There exist many high-dimensional data in real-world applications such as biology, computer vision, and social networks. Feature selection approaches are devised to confront with h…
Adaptive Low-Rank Regularization with Damping Sequences to Restrict Lazy Weights in Deep Networks
Mohammad Mahdi Bejani, Mehdi Ghatee
Overfitting is one of the critical problems in deep neural networks. Many regularization schemes try to prevent overfitting blindly. However, they decrease the convergence speed of…
Adaptive Low-Rank Factorization to regularize shallow and deep neural networks
Mohammad Mahdi Bejani, Mehdi Ghatee
The overfitting is one of the cursing subjects in the deep learning field. To solve this challenge, many approaches were proposed to regularize the learning models. They add some h…
Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering
Mohsen Ghassemi Parsa, Hadi Zare, Mehdi Ghatee
Feature selection methods have an important role on the readability of data and the reduction of complexity of learning algorithms. In recent years, a variety of efforts are invest…
Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study
Mohammad Mahdi Bejani, Mehdi Ghatee
Intelligent Transportation Systems (ITS) are much correlated with data science mechanisms. Among the different correlation branches, this paper focuses on the neural network learni…