SIFTER: A Framework for Robust Rumor Detection-Reference-Cited by-同舟云学术

SIFTER: A Framework for Robust Rumor Detection

Author:

Lu Menglong¹^ORCID,Huang Zhen¹,Li Binyang²,Zhao Yunxiang³,Qin Zheng¹,Li DongSheng¹^ORCID

Affiliation:

1. Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China

2. University of International Relations, Beijing, China

3. Beijing Institute of Biotechnology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Beijing Natural Science Foundation

Fundamental Research Funds for the Central Universities

Research Funds for NSD Construction

University of International Relations

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

Reference63 articles.

1. When training and test sets are different: Characterizing learning transfer;storkey;Dataset Shift Mach Learn,2009

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

4. Detecção de Fake News em Domínios Cruzados: Uma Revisão Sistemática;Anais do XIII Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2024);2024-07-21