Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.

Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning.
In The Journal of supercomputing
Ramanathan Shalini, Ramasundaram Mohan
2021-Jan-04
COVID-19, Classification, Feature extraction, Machine learning, RT-PCR test, TF-IDF, Text data mining

Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19.
In Cognitive computation
Ibrahim Abdullahi Umar, Ozsoz Mehmet, Serte Sertan, Al-Turjman Fadi, Yakoi Polycarp Shizawaliyi
2021-Jan-04
AlexNet, Bacterial pneumonia, COVID-19, Chest X-rays images (CXR), Non-COVID-19 viral pneumonia

Evaluating the Effects of An Artificial Intelligence System on Endoscopy Quality and Preliminarily Testing its Performance on Detecting Early Gastric Cancer: A Randomized Controlled Trial.
In Endoscopy ; h5-index 58.0
BACKGROUND AND STUDY AIMS :
PATIENTS AND METHODS :
RESULTS :
CONCLUSIONS :
Wu Lianlian, He Xinqi, Liu Mei, Xie Huaping, An Ping, Zhang Jun, Zhang Heng, Ai Yaowei, Tong Qiaoyun, Guo Mingwen, Huang Manling, Ge Cunjin, Yang Zhi, Yuan Jingping, Liu Jun, Zhou Wei, Jiang Xiaoda, Huang Xu, Mu Ganggang, Wan Xinyue, Li Yanxia, Wang Hongguang, Wang Yonggui, Zhang Hongfeng, Chen Di, Gong Dexin, Wang Jing, Huang Li, Li Jia, Yao Liwen, Zhu Yijie, Yu Honggang
2021-Jan-11

Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec.
In Annals of operations research
Khalilpourazari Soheyl, Hashemi Doulabi Hossein
2021-Jan-03
COVID-19 pandemic, Machine learning, Reinforcement learning, SARS-Cov-2, SIDARTHE

A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset.
In Cognitive computation
Khalifa Nour Eldeen M, Smarandache Florentin, Manogaran Gunasekaran, Loey Mohamed
2021-Jan-04
CNN, COVID-19, Coronavirus, Deep transfer learning, Neutrosophic, SARS-CoV-2

DeepCNV: a deep learning approach for authenticating copy number variations.
In Briefings in bioinformatics
Glessner Joseph T, Hou Xiurui, Zhong Cheng, Zhang Jie, Khan Munir, Brand Fabian, Krawitz Peter, Sleiman Patrick M A, Hakonarson Hakon, Wei Zhi
2021-Jan-12
copy number variation, deep learning
Weekly Summary
Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.