activity
20192021
most citedEmbracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data

3 citations · 9 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.LG2023

Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals

Amila Silva, Ling Luo, Shanika Karunasekera +1

The emergence of social media as one of the main platforms for people to access news has enabled the wide dissemination of fake news. This has motivated numerous studies on automat…

cs.LG2020

METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams

Amila Silva, Shanika Karunasekera, Christopher Leckie +1

Many learning tasks involve multi-modal data streams, where continuous data from different modes convey a comprehensive description about objects. A major challenge in this context…

cs.LG2020

OMBA: User-Guided Product Representations for Online Market Basket Analysis

Amila Silva, Ling Luo, Shanika Karunasekera +1

Market Basket Analysis (MBA) is a popular technique to identify associations between products, which is crucial for business decision making. Previous studies typically adopt conve…

cs.LG2020

JPLink: On Linking Jobs to Vocational Interest Types

Amila Silva, Pei-Chi Lo, Ee-Peng Lim

Linking job seekers with relevant jobs requires matching based on not only skills, but also personality types. Although the Holland Code also known as RIASEC has frequently been us…

cs.LG20192 cited

USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity

Amila Silva, Shanika Karunasekera, Christopher Leckie +1

Building spatiotemporal activity models for people's activities in urban spaces is important for understanding the ever-increasing complexity of urban dynamics. With the emergence…