Modelling irregularly-sampled time series (ISTS) is challenging because ...
ML-based motion planning is a promising approach to produce agents that
...
Region proposal based methods like R-CNN and Faster R-CNN models have pr...
Social media such as Twitter is a hotspot of user-generated information....
We explore the performance of Bidirectional Encoder Representations from...
Learning-based methodologies increasingly find applications in
safety-cr...
Memes have become an ubiquitous social media entity and the processing a...
Balancing performance and safety is crucial to deploying autonomous vehi...
While autonomous vehicle (AV) technology has shown substantial progress,...
Modern treatments for Type 1 diabetes (T1D) use devices known as artific...
While recent developments in autonomous vehicle (AV) technology highligh...
Enterprise application integration (EAI) solutions are the centrepiece o...
Neural networks are vulnerable to adversarial examples and researchers h...