[HTML][HTML] Towards COVID-19 fake news detection using transformer-based models

J Alghamdi, Y Lin, S Luo - Knowledge-Based Systems, 2023 - Elsevier
The COVID-19 pandemic has resulted in a surge of fake news, creating public health risks.
However, developing an effective way to detect such news is challenging, especially when …

Grounding human-object interaction to affordance behavior in multimodal datasets

A Henlein, A Gopinath, N Krishnaswamy… - Frontiers in artificial …, 2023 - frontiersin.org
While affordance detection and Human-Object interaction (HOI) detection tasks are related,
the theoretical foundation of affordances makes it clear that the two are distinct. In particular …

Multimodal interaction enhanced representation learning for video emotion recognition

X Xia, Y Zhao, D Jiang - Frontiers in Neuroscience, 2022 - frontiersin.org
Video emotion recognition aims to infer human emotional states from the audio, visual, and
text modalities. Previous approaches are centered around designing sophisticated fusion …

Design of virtual BCI channels based on informer

H Sun, C Li, H Zhang - Frontiers in Human Neuroscience, 2023 - frontiersin.org
The precision and reliability of electroencephalogram (EEG) data are essential for the
effective functioning of a brain-computer interface (BCI). As the number of BCI acquisition …