Model-agnostic and diverse explanations for streaming rumour graphs
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 …
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 …
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 …
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 …
various techniques for rumour detection have been proposed recently. Yet, existing work …