Advances in medical image analysis with vision transformers: a comprehensive review
The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …
has recently also triggered broad interest in Computer Vision. Among other merits …
[HTML][HTML] Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges
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 …
it faces such as cost and time overruns, health and safety, productivity and labour shortages …
Opportunities and adoption challenges of AI in the construction industry: A PRISMA review
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 …
beginning to become apparent in all industries nowadays. The increased popularity of AI in …
Algorithms to estimate Shapley value feature attributions
Feature attributions based on the Shapley value are popular for explaining machine
learning models. However, their estimation is complex from both theoretical and …
learning models. However, their estimation is complex from both theoretical and …
Explainable ai: A review of machine learning interpretability methods
Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption,
with machine learning systems demonstrating superhuman performance in a significant …
with machine learning systems demonstrating superhuman performance in a significant …
Transformer interpretability beyond attention visualization
Self-attention techniques, and specifically Transformers, are dominating the field of text
processing and are becoming increasingly popular in computer vision classification tasks. In …
processing and are becoming increasingly popular in computer vision classification tasks. In …
[HTML][HTML] A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations …
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 …
the compressive strength of concrete. Despite higher accuracy, previous ML models failed to …
Knowledge neurons in pretrained transformers
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 …
knowledge presented in the training corpus. In this paper, we present preliminary studies on …
[HTML][HTML] Explainable AI for operational research: A defining framework, methods, applications, and a research agenda
The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …
aiding decision-making, has become a critical requirement for many applications. For …
Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond
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 …
learning and artificial intelligence tasks. However, due to their over-parameterized black-box …