activity
20182022
most citedRegularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study

589 citations · 609 across the 15 of their papers we have counts for

collaborators

16 papers

physics.soc-ph2022★ 1 cited

A potential demand model for a multi-circulation feeder network design

Saeed Sani, Mehdi Ghatee

Background: The development of public transit network can enhance the efficiency of the system as well as raise interest to use the system. Feeder bus service fills the area that i…

cs.LG2021★ 3 cited

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…

cs.LG2021

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…

cs.LG2021

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…

cs.CV2020★ 1 cited

Diverse and Styled Image Captioning Using SVD-Based Mixture of Recurrent Experts

Marzieh Heidari, Mehdi Ghatee, Ahmad Nickabadi +1

With great advances in vision and natural language processing, the generation of image captions becomes a need. In a recent paper, Mathews, Xie and He [1], extended a new model to…

cs.LG2020★ 3 cited

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…