86 citations · 134 across the 5 of their papers we have counts for
5 papers
They Look Like Each Other: Case-based Reasoning for Explainable Depression Detection on Twitter using Large Language Models
Mohammad Saeid Mahdavinejad, Peyman Adibi, Amirhassan Monadjemi +1
Depression is a common mental health issue that requires prompt diagnosis and treatment. Despite the promise of social media data for depression detection, the opacity of employed…
Multiscale Sparsifying Transform Learning for Image Denoising
Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang +3
The data-driven sparse methods such as synthesis dictionary learning (e.g., K-SVD) and sparsifying transform learning have been proven effective in image denoising. However, they a…
Fusing Visual, Textual and Connectivity Clues for Studying Mental Health
Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj +5
With ubiquity of social media platforms, millions of people are sharing their online persona by expressing their thoughts, moods, emotions, feelings, and even their daily struggles…
Three-dimensional Optical Coherence Tomography Image Denoising through Multi-input Fully-Convolutional Networks
Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang +2
In recent years, there has been a growing interest in applying convolutional neural networks (CNNs) to low-level vision tasks such as denoising and super-resolution. Due to the coh…
A Survey of Credit Card Fraud Detection Techniques: Data and Technique Oriented Perspective
SamanehSorournejad, Zahra Zojaji, Reza Ebrahimi Atani +1
Credit card plays a very important rule in today's economy. It becomes an unavoidable part of household, business and global activities. Although using credit cards provides enormo…