View Proposal

Proposer
Wei Pang
Title
Multimodal Machine Learning for Fraudulent Paper Detection
Goal
detecting if a paper is fraudulent by images, tables, and text
Description
This is related to a recently funded UKRI project in collaboration with Strathclyde and Surrey, together with industry. We want to use multimodal machine learning, including multimodal agentic framework powered by LLMs as well as traditional machine learning to detect fraudulent papers.
Resources
Background
Url
External Link
Difficulty Level
High
Ethical Approval
Full
Number Of Students
0
Supervisor
Wei Pang
Keywords
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
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