Breakout Room

Ensuring the robustness and providing explanations for Artificial Intelligence (AI) solutions applied in the industry is imperative, particularly in the context of securing trustworthy AI. Increasingly complex real-world applications of AI utilise black-box models based on deep learning approaches to demonstrate high predictive accuracy and enhance industrial process efficiency. However, the decisions made by these …

In machine learning, missing features can disrupt predictive models. Active Feature Acquisition (AFA) addresses this by identifying which missing data to acquire under budget constraints. This tutorial introduces AFA for static and streaming data, guiding participants through implementing stream-based AFA methods. By the end, participants will have hands-on experience developing their own AFA solutions. This …

The development of Intelligent Environments presents significant complexity due to the diverse and advanced technologies involved. These systems integrate a range of components, including Sensor Networks, Artificial Intelligence algorithms, and user-personalised Human-Computer Interfaces. Each of these technologies is intricate on its own, and their combination in a cohesive system adds further layers of complexity. Additionally, …