Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2007.11604
Cited By
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing
22 July 2020
Ashkan Ebadi
Pengcheng Xi
Stéphane Tremblay
B. Spencer
R. Pall
Alexander Wong
AI4CE
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing"
6 / 6 papers shown
Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach
Koosha Shirouyeh
Andrea Schiffauerova
Ashkan Ebadi
106
0
0
18 Jul 2024
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation
Dimosthenis Antypas
Jose Camacho-Collados
203
38
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
163
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
175
11
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
267
4
0
04 May 2021
COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics
Frontiers in Bioscience (FB), 2021
Ashkan Ebadi
Pengcheng Xi
Alexander MacLean
Stéphane Tremblay
S. Kohli
Alexander Wong
314
42
0
18 Mar 2021
1
Page 1 of 1
