13 citations · 20 across the 9 of their papers we have counts for
9 papers
Visual Authority and the Rhetoric of Health Misinformation: A Multimodal Analysis of Social Media Videos
Mohammad Reza Zarei, Barbara Stead-Coyle, Michael Christensen +2
Short form video platforms are central sites for health advice, where alternative narratives mix useful, misleading, and harmful content. Rather than adjudicating truth, this study…
Vax-Culture: A Dataset for Studying Vaccine Discourse on Twitter
Mohammad Reza Zarei, Michael Christensen, Sarah Everts +1
Vaccine hesitancy continues to be a main challenge for public health officials during the COVID-19 pandemic. As this hesitancy undermines vaccine campaigns, many researchers have s…
Interpretable Few-shot Learning with Online Attribute Selection
Mohammad Reza Zarei, Majid Komeili
Few-shot learning (FSL) presents a challenging learning problem in which only a few samples are available for each class. Decision interpretation is more important in few-shot clas…
Interpretable Concept-based Prototypical Networks for Few-Shot Learning
Mohammad Reza Zarei, Majid Komeili
Few-shot learning aims at recognizing new instances from classes with limited samples. This challenging task is usually alleviated by performing meta-learning on similar tasks. How…
Crash Data Augmentation Using Conditional Generative Adversarial Networks (CGAN) for Improving Safety Performance Functions
Mohammad Zarei, Bruce Hellinga
In this paper, we present a crash frequency data augmentation method based on Conditional Generative Adversarial Networks to improve crash frequency models. The proposed method is…
CGAN-EB: A Non-parametric Empirical Bayes Method for Crash Hotspot Identification Using Conditional Generative Adversarial Networks: A Real-world Crash Data Study
Mohammad Zarei, Bruce Hellinga, Pedram Izadpanah
The empirical Bayes (EB) method based on parametric statistical models such as the negative binomial (NB) has been widely used for ranking sites in road network safety screening pr…
CGAN-EB: A Non-parametric Empirical Bayes Method for Crash Hotspot Identification Using Conditional Generative Adversarial Networks: A Simulated Crash Data Study
Mohammad Zarei, Bruce Hellinga, Pedram Izadpanah
In this paper, a new non-parametric empirical Bayes approach called CGAN-EB is proposed for approximating empirical Bayes (EB) estimates in traffic locations (e.g., road segments)…
An Adaptive Similarity Measure to Tune Trust Influence in Memory-Based Collaborative Filtering
Mohammad Reza Zarei, Mohammad R. Moosavi
The aim of the recommender systems is to provide relevant and potentially interesting information to each user. This is fulfilled by utilizing the already recorded tendencies of si…
A Social Recommender System based on Bhattacharyya Coefficient
M. R. Zarei, M. R. Moosavi
Recommender systems play a significant role in providing the appropriate data for each user among a huge amount of information. One of the important roles of a recommender system i…