3 citations · 4 across the 10 of their papers we have counts for
10 papers
MultiHuSE: A Multimodal Dataset for Humour Styles and Emotions
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Computational recognition of verbal humour remains a challenging task, requiring an understanding of language, delivery style, emotions, and cultural context. Most existing approac…
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 domain-theoretic framework for conditional probability and Bayesian updating in programming
Pietro Di Gianantonio, Abbas Edalat
We present a domain-theoretic framework for probabilistic programming that provides a constructive definition of conditional probability and addresses computability challenges prev…
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…
Exploring Description-Augmented Dataless Intent Classification
Ruoyu Hu, Foaad Khosmood, Abbas Edalat
In this work, we introduce several schemes to leverage description-augmented embedding similarity for dataless intent classification using current state-of-the-art (SOTA) text embe…
A Cartesian Closed Category for Random Variables
Pietro Di Gianantonio, Abbas Edalat
We present a novel, yet rather simple construction within the traditional framework of Scott domains to provide semantics to probabilistic programming, thus obtaining a solution to…
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…
Pure Bayesian Nash equilibrium for Bayesian games with multidimensional vector Types and linear payoffs
Sébastien Huot, Abbas Edalat
We study -agent Bayesian Games with -dimensional vector types and linear payoffs, also called Linear Multidimensional Bayesian Games. This class of games is equivalent with $…
From Words and Exercises to Wellness: Farsi Chatbot for Self-Attachment Technique
Sina Elahimanesh, Shayan Salehi, Sara Zahedi Movahed +3
In the wake of the post-pandemic era, marked by social isolation and surging rates of depression and anxiety, conversational agents based on digital psychotherapy can play an influ…