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20212026
most citedAutomated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost

104 citations · 223 across the 12 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

q-fin.ST2022★ 1 cited

Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition

Hamid Nasiri, Mohammad Mehdi Ebadzadeh

Financial time series prediction, a growing research topic, has attracted considerable interest from scholars, and several approaches have been developed. Among them, decomposition…

cs.LG2022★ 2 cited

Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Method

Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri +1

Background and Objective: Parkinson's disease (PD) is the second most common progressive neurological condition after Alzheimer's, characterized by motor and non-motor symptoms. De…

eess.IV2022★ 1 cited

Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods

Mohammad Reza Abbasniya, Sayed Ali Sheikholeslamzadeh, Hamid Nasiri +1

Breast cancer is the most common cancer among women worldwide. Early-stage diagnosis of breast cancer can significantly improve the efficiency of treatment. Computer-aided diagnosi…

eess.IV2022★ 1 cited

Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM

Hamid Nasiri, Ghazal Kheyroddin, Morteza Dorrigiv +4

The COVID-19 disease was first discovered in Wuhan, China, and spread quickly worldwide. After the COVID-19 pandemic, many researchers have begun to identify a way to diagnose the…

eess.IV2022★ 16 cited

Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM

Mobina Ezzoddin, Hamid Nasiri, Morteza Dorrigiv

The Coronavirus was detected in Wuhan, China in late 2019 and then led to a pandemic with a rapid worldwide outbreak. The number of infected people has been swiftly increasing sinc…