5 papers
Abusive music and song transformation using GenAI and LLMs
Jiyang Choi, Rohitash Chandra
Repeated exposure to violence and abusive content in music and song content can influence listeners' emotions and behaviours, potentially normalising aggression or reinforcing harm…
An evaluation of LLMs for political bias in Western media: Israel-Hamas and Ukraine-Russia wars
Rohitash Chandra, Haoyan Chen, Yaqing Zhang +2
Political bias in media plays a critical role in shaping public opinion, voter behaviour, and broader democratic discourse. Subjective opinions and political bias can be found in m…
Analysing Personal Attacks in U.S. Presidential Debates
Ruban Goyal, Rohitash Chandra, Sonit Singh
Personal attacks have become a notable feature of U.S. presidential debates and play an important role in shaping public perception during elections. Detecting such attacks can imp…
Machine learning-based correlation analysis of decadal cyclone intensity with sea surface temperature: data and tutorial
Jingyang Wu, Rohitash Chandra
The rising number of extreme climate events in the past decades has motivated the need for a thorough consideration of tropical cyclone genesis and intensity, given the sea-surface…
Self-supervised learning for skin cancer diagnosis with limited training data
Hamish Haggerty, Rohitash Chandra
Early cancer detection is crucial for prognosis, but many cancer types lack large labelled datasets required for developing deep learning models. This paper investigates self-super…