activity
20222025
most citedBERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets

73 citations · 103 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

FOS: A Large-Scale Temporal Graph Benchmark for Scientific Interdisciplinary Link Prediction

Kiyan Rezaee, Morteza Ziabakhsh, Niloofar Nikfarjam +4

Interdisciplinary scientific breakthroughs mostly emerge unexpectedly, and forecasting the formation of novel research fields remains a major challenge. We introduce FOS (Future Of…

eess.SP2025

Multilayer Perceptron Neural Network Model: A Novel Approach for LFP Contrast Sensitivity Tuning

Sahar Maleki, Reza Lashgari, Mahdi Aliyari Shoorehdeli +1

Local field potentials (LFPs) have been demonstrated to be an important measurement to study the activity of a local population of neurons. The response tunings of LFPs have been m…

cs.CV2023★ 29 cited

Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis

Bahareh Morovati, Reza Lashgari, Mojtaba Hajihasani +1

Breast cancer is the second most common cancer among women worldwide. Diagnosis of breast cancer by the pathologists is a time-consuming procedure and subjective. Computer aided di…

cs.CL2022★ 73 cited

BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets

Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi +5

The free flow of information has been accelerated by the rapid development of social media technology. There has been a significant social and psychological impact on the populatio…

eess.IV2022★ 1 cited

CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers

Abdolreza Marefat, Mahdieh Marefat, Javad Hasannataj Joloudari +2

COVID-19 is a novel virus that attacks the upper respiratory tract and the lungs. Its person-to-person transmissibility is considerably rapid and this has caused serious problems i…