Reza Lashgari

According to our database, Reza Lashgari authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets.

Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari, Ashis Talukder

Soc. Netw. Anal. Min., December, 2023

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, Hasti Shabani

J. Digit. Imaging, December, 2023

Identification of Clinical Features Associated with Mortality in COVID-19 Patients.

Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain, Fahime Khozeimeh, Mohammad Tayarani Darbandy, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam

Oper. Res. Forum, March, 2023

2022

Brain-inspired multiple-target tracking using Dynamic Neural Fields.

Shiva Kamkar, Hamid Abrishami Moghaddam, Reza Lashgari, Wolfram Erlhagen

Neural Networks, 2022

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

Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari

CoRR, 2022

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

Abdolreza Marefat, Mahdieh Marefat, Javad Hassannataj Joloudari, Mohammad Ali Nematollahi, Reza Lashgari

CoRR, 2022

2020

Multiple-target tracking in human and machine vision.

Shiva Kamkar, Fatemeh Ghezloo, Hamid Abrishami Moghaddam, Ali Borji, Reza Lashgari

PLoS Comput. Biol., 2020