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

no code implementations • 4 Nov 2022 • Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari, Ashis Talukder

The superiority of BERT models over other deep models in sentiment analysis is evident and can be concluded from the comparison of the various research studies mentioned in this article.

Sentiment Analysis

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

no code implementations • 27 Sep 2022 • Abdolreza Marefat, Mahdieh Marefat, Javad Hasannataj Joloudari, Mohammad Ali Nematollahi, Reza Lashgari

COVID-19 is a novel virus that attacks the upper respiratory tract and the lungs.

Computed Tomography (CT)

Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks

no code implementations • 1 Sep 2022 • Javad Hassannataj Joloudari, Abdolreza Marefat, Mohammad Ali Nematollahi, Solomon Sunday Oyelere, Sadiq Hussain

Imbalanced Data (ID) is a problem that deters Machine Learning (ML) models for achieving satisfactory results.

Binary Classification

GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset

no code implementations • 23 Jul 2021 • Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Edris Hassannataj, Amir Mosavi

One of the alternative solutions is the use of machine learning-based patterns for CAD diagnosis.

BIG-bench Machine Learning