3 citations · 3 across the 4 of their papers we have counts for
4 papers
Mitigating Strong-Modality Collapse in Multimodal Learning via Inverted Asymmetric Fusion
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Fusing multiple modalities is expected to improve model performance. However, on the MultiHuSE dataset, early, late, and symmetric attention fusion often fail to outperform the bes…
Explaining Humour Style Classifications: An XAI Approach to Understanding Computational Humour Analysis
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Humour styles can have either a negative or a positive impact on well-being. Given the importance of these styles to mental health, significant research has been conducted on their…
A Two-Model Approach for Humour Style Recognition
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Humour, a fundamental aspect of human communication, manifests itself in various styles that significantly impact social interactions and mental health. Recognising different humou…
Systematic Literature Review: Computational Approaches for Humour Style Classification
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Understanding various humour styles is essential for comprehending the multifaceted nature of humour and its impact on fields such as psychology and artificial intelligence. This u…