Understanding the temporal evolution of COVID-19 research through
machine learning and natural language processing

Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing

22 July 2020

Pengcheng Xi

Stéphane Tremblay

Alexander Wong

Papers citing "Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing"

6 / 6 papers shown

Title
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation Dimosthenis Antypas Jose Camacho-Collados 51 21 0 04 Jul 2023
On the evolution of research in hypersonics: application of natural language processing and machine learning Ashkan Ebadi Alain Auger Yvan Gauthier 18 0 0 17 Aug 2022
Deep forecasting of translational impact in medical research Amy Nelson Robert J. Gray James K. Ruffle Henry Watkins Dan Herron ... Sebastien Ourselin N. McNally Bryan Williams G. Rees P. Nachev AI4CE 12 10 0 17 Oct 2021
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach Jianxing Zhang Pengcheng Xi Ashkan Ebadi Hilda Azimi Stéphane Tremblay Alexander Wong 15 4 0 04 May 2021
COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics Ashkan Ebadi Pengcheng Xi Alexander MacLean Stéphane Tremblay S. Kohli Alexander Wong 24 35 0 18 Mar 2021
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images Zhenyu Tang Wei-Ye Zhao Xingzhi Xie Zheng Zhong F. Shi Jun Liu D. Shen 28 171 0 26 Mar 2020