• Gestural linguistic context vectors encode gesture meaning 

  Vogel, Carl; Koutsombogera, Maria; Khosrobeigi, Zohreh; Murat, Anaïs Claire (2023)

  Linguistic context vectors are adapted for measuring the lin- guistic contexts that accompany gestures and comparable co- linguistic behaviours. Focusing on gestural semiotic types, it is demonstrated that gestural ...
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  Multi-agent reinforcement learning for safe lane changes by connected and autonomous vehicles: A survey 

  Hegde, Bharathkumar; Melanie, Bouroche (AI Communications, 2023)

  Connected Autonomous vehicles (CAVs) are expected to improve the safety and efficiency of traffic by automating driving tasks. Amongst those, lane changing is particularly challenging, as it requires the vehicle to be aware ...
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  Fully Abstract Normal Form Bisimulation for Call-by-Value PCF 

  Koutavas, Vasileios; Lin Hou, Yu (IEEE, 2023)

  We present the first fully abstract normal form bisimulation for call-by-value PCF (PCFv). Our model is based on a labelled transition system (LTS) that combines elements from applicative bisimulation, environmental ...
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  To Be High-Risk, or Not To Be-Semantic Specifications and Implications of the AI Act's High-Risk AI Applications and Harmonised Standards 

  S Golpayegani, Seyedeh Delaram; Lewis, David (2023)

  The EU's proposed AI Act sets out a risk-based regulatory framework to govern the potential harms emanating from use of AI systems. Within the AI Act's hierarchy of risks, the AI systems that are likely to incur "high-risk" ...
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  Is Your Application Gender Biased? 

  Ribeiro Lopes, Milena; Vogel, Carl (2019)

  The process of design is underpinned by a solid methodology that comprises stages of research, creation and validation of the ideas in order to ensure that a product or a service will meet the users’ needs. However, in the ...

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