[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks

S Nazir, DM Dickson, MU Akram - Computers in Biology and Medicine, 2023‏ - Elsevier
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …

Explainable artificial intelligence: a comprehensive review

D Minh, HX Wang, YF Li, TN Nguyen - Artificial Intelligence Review, 2022‏ - Springer
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …

Survey on explainable AI: From approaches, limitations and applications aspects

W Yang, Y Wei, H Wei, Y Chen, G Huang, X Li… - Human-Centric …, 2023‏ - Springer
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …

[HTML][HTML] Notions of explainability and evaluation approaches for explainable artificial intelligence

G Vilone, L Longo - Information Fusion, 2021‏ - Elsevier
Abstract Explainable Artificial Intelligence (XAI) has experienced a significant growth over
the last few years. This is due to the widespread application of machine learning, particularly …

[HTML][HTML] A systematic review of explainable artificial intelligence in terms of different application domains and tasks

MR Islam, MU Ahmed, S Barua, S Begum - Applied Sciences, 2022‏ - mdpi.com
Artificial intelligence (AI) and machine learning (ML) have recently been radically improved
and are now being employed in almost every application domain to develop automated or …

Explainable AI for time series classification: a review, taxonomy and research directions

A Theissler, F Spinnato, U Schlegel, R Guidotti - Ieee Access, 2022‏ - ieeexplore.ieee.org
Time series data is increasingly used in a wide range of fields, and it is often relied on in
crucial applications and high-stakes decision-making. For instance, sensors generate time …

A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques

M Nazar, MM Alam, E Yafi, MM Su'ud - IEEE Access, 2021‏ - ieeexplore.ieee.org
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …

Expanding explainability: Towards social transparency in ai systems

U Ehsan, QV Liao, M Muller, MO Riedl… - Proceedings of the 2021 …, 2021‏ - dl.acm.org
As AI-powered systems increasingly mediate consequential decision-making, their
explainability is critical for end-users to take informed and accountable actions. Explanations …

A survey of visual analytics for explainable artificial intelligence methods

G Alicioglu, B Sun - Computers & Graphics, 2022‏ - Elsevier
Deep learning (DL) models have achieved impressive performance in various domains such
as medicine, finance, and autonomous vehicle systems with advances in computing power …

Explainable artificial intelligence in information systems: A review of the status quo and future research directions

J Brasse, HR Broder, M Förster, M Klier, I Sigler - Electronic Markets, 2023‏ - Springer
The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …