3 citations · 5 across the 4 of their papers we have counts for
4 papers
Fake News Classification in Urdu: A Domain Adaptation Approach for a Low-Resource Language
Muhammad Zain Ali, Bernhard Pfahringer, Tony Smith
Misinformation on social media is a widely acknowledged issue, and researchers worldwide are actively engaged in its detection. However, low-resource languages such as Urdu have re…
Detection of Human and Machine-Authored Fake News in Urdu
Muhammad Zain Ali, Yuxia Wang, Bernhard Pfahringer +1
The rise of social media has amplified the spread of fake news, now further complicated by large language models (LLMs) like ChatGPT, which ease the generation of highly convincing…
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents
Vithya Yogarajan, Bernhard Pfahringer, Tony Smith +1
Multi-label learning predicts a subset of labels from a given label set for an unseen instance while considering label correlations. A known challenge with multi-label classificati…
Predicting COVID-19 Patient Shielding: A Comprehensive Study
Vithya Yogarajan, Jacob Montiel, Tony Smith +1
There are many ways machine learning and big data analytics are used in the fight against the COVID-19 pandemic, including predictions, risk management, diagnostics, and prevention…