The growth of the construction industry is severely limited by the myriad complex challenges
it faces such as cost and time overruns, health and safety, productivity and labour shortages …

Feature attributions based on the Shapley value are popular for explaining machine
learning models. However, their estimation is complex from both theoretical and …

Artificial intelligence (AI) is a powerful technology with a range of capabilities, which are
beginning to become apparent in all industries nowadays. The increased popularity of AI in …

Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption,
with machine learning systems demonstrating superhuman performance in a significant …

Self-attention techniques, and specifically Transformers, are dominating the field of text
processing and are becoming increasingly popular in computer vision classification tasks. In …

Abstract Machine learning (ML) techniques are often employed for the accurate prediction of
the compressive strength of concrete. Despite higher accuracy, previous ML models failed to …

Large-scale pretrained language models are surprisingly good at recalling factual
knowledge presented in the training corpus. In this paper, we present preliminary studies on …

Deep neural networks have been well-known for their superb handling of various machine
learning and artificial intelligence tasks. However, due to their over-parameterized black-box …

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of
methods and tools designed to build better predictive models and to monitor their behaviour …

Multi-headed attention is a driving force behind recent state-of-the-art NLP models. By
applying multiple attention mechanisms in parallel, it can express sophisticated functions …