Model-agnostic and diverse explanations for streaming rumour graphs

TT Nguyen, TC Phan, MH Nguyen, M Weidlich… - Knowledge-Based …, 2022 - Elsevier
The propagation of rumours on social media poses an important threat to societies, so that
various techniques for rumour detection have been proposed recently. Yet, existing work …

Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting

P Arora, P Mazumder - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
Deep learning models are known to suffer from the problem of bias, and researchers have
been exploring methods to address this issue. However, most of these methods require prior …

An investigation of how personal sensitive information impact the effectiveness of targeted online advertising

N Nickel - 2024 - essay.utwente.nl
In today's advertising world, the method of targeting customers to effectively place ads to
relevant customer groups is a common tool. However, when customers are targeted, this …

[PDF][PDF] Example-based Explanations for Streaming Graph-based Rumour Detection

TT Nguyena, TC Phana, MH Nguyenb, M Weidlichc… - researchgate.net
The propagation of rumours on social media poses an important threat to societies, so that
various techniques for rumour detection have been proposed recently. Yet, existing work …