<i>DiEvD-SF</i>: Disruptive Event Detection Using Continual Machine Learning With Selective Forgetting-Reference-Cited by-同舟云学术

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DiEvD-SF: Disruptive Event Detection Using Continual Machine Learning With Selective Forgetting

Published:2024-06 Issue:3 Volume:11 Page:4189-4201
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Seetha Aditi¹^ORCID,Chouhan Satyendra Singh¹^ORCID,Pilli Emmanuel S.¹^ORCID,Raychoudhury Vaskar²^ORCID,Saha Snehanshu³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India

2. Department of Computer Science and Software Engineering, Miami University, Oxford, OH, USA

3. Department of Computer Science & Information Systems and APPCAIR, BITS Pilani K K Birla Goa Campus, Goa, India

Funder

National Supercomputing Mission, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570650/10557215/10462483.pdf?arnumber=10462483

Reference43 articles.

1. Processing Social Media Messages in Mass Emergency

2. EventRadar: A Real-Time Local Event Detection Scheme Using Twitter Stream

3. Divided We Rule: Influencer Polarization on Twitter during Political Crises in India

4. Can We Predict a Riot? Disruptive Event Detection Using Twitter

5. Characterizing and Countering Communal Microblogs During Disaster Events

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