Abhishek Dhankar

Abhishek Dhankar
University of Manitoba | UMN · Department of Family Medicine

Master of Science

About

5
Publications
2,777
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
19
Citations
Citations since 2017
5 Research Items
19 Citations
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
Learn about citations on ResearchGate
Introduction
Skills and Expertise
Speech Technologies

Publications

Publications (5)
View
Figure 2: Image Entailment Classifier Architecture
Figure 3: Text Entailment Classifier Architecture
Figure 4: Confusion Matrix for Original Heuristic
Figure 5: Confusion Matrix for Modified Heuristic
+1 Text Entailment Task Labels in Terms of Original FACTIFY Task Labels
UofA-Truth at Factify 2022 : A Simple Approach to Multi-Modal Fact-Checking
Conference Paper
Full-text available
  • Aug 2022
Identifying fake news is a very difficult task, especially when considering the multiple modes of conveying information through text, image, video and/or audio. We attempted to tackle the problem of automated misinformation/disinformation detection in multi-modal news sources (including text and images) through our simple, yet effective, approach i...
View
Figure 2: Image Entailment Classifier Architecture
Figure 3: Text Entailment Classifier Architecture
Figure 4: Confusion Matrix for Original Heuristic
Figure 5: Confusion Matrix for Modified Heuristic
+1 Text Entailment Task Labels in Terms of Original FACTIFY Task Labels
UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking
Preprint
Full-text available
  • Feb 2022
Identifying fake news is a very difficult task, especially when considering the multiple modes of conveying information through text, image, video and/or audio. We attempted to tackle the problem of automated misinformation/disinformation detection in multi-modal news sources (including text and images) through our simple, yet effective, approach i...
View
Figure 1: 5x2-fold CV Results for SVM and MLP
Analysis of COVID-19 Misinformation in Social Media using Transfer Learning
Conference Paper
Full-text available
  • Nov 2021
Most major events are often accompanied by misinformation on online Social Networking platforms. Due to its nature, the COVID-19 pandemic was bound to lead to an explosion of information online, much of it false or misleading. This information explosion, termed ``infodemic'' by the World Health Organization (WHO), has revealed the need for automati...
View
View

Network

Cited
View All
Cited By
View All