Applications of explainable artificial intelligence in diagnosis and surgery
In recent years, artificial intelligence (AI) has shown great promise in medicine. However,
explainability issues make AI applications in clinical usages difficult. Some research has …
explainability issues make AI applications in clinical usages difficult. Some research has …
Explainable AI over the Internet of Things (IoT): Overview, state-of-the-art and future directions
SK Jagatheesaperumal, QV Pham… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by
enhancing the trust of end-users in machines. As the number of connected devices keeps on …
enhancing the trust of end-users in machines. As the number of connected devices keeps on …
Artificial intelligence enabled automated diagnosis and grading of ulcerative colitis endoscopy images
Endoscopic evaluation to reliably grade disease activity, detect complications including
cancer and verification of mucosal healing are paramount in the care of patients with …
cancer and verification of mucosal healing are paramount in the care of patients with …
[HTML][HTML] Developing, implementing, and evaluating an artificial intelligence–guided mental health resource navigation chatbot for health care workers and their …
JM Noble, A Zamani, MA Gharaat… - JMIR Research …, 2022 - researchprotocols.org
Background: Approximately 1 in 3 Canadians will experience an addiction or mental health
challenge at some point in their lifetime. Unfortunately, there are multiple barriers to …
challenge at some point in their lifetime. Unfortunately, there are multiple barriers to …
[HTML][HTML] BIM integration with XAI using LIME and MOO for automated green building energy performance analysis
Achieving sustainable green building design is essential to reducing our environmental
impact and enhancing energy efficiency. Traditional methods often depend heavily on …
impact and enhancing energy efficiency. Traditional methods often depend heavily on …
Towards verifiable federated learning
Federated learning (FL) is an emerging paradigm of collaborative machine learning that
preserves user privacy while building powerful models. Nevertheless, due to the nature of …
preserves user privacy while building powerful models. Nevertheless, due to the nature of …
Evaluation metrics research for explainable artificial intelligence global methods using synthetic data
A Oblizanov, N Shevskaya, A Kazak… - Applied System …, 2023 - mdpi.com
In recent years, artificial intelligence technologies have been developing more and more
rapidly, and a lot of research is aimed at solving the problem of explainable artificial …
rapidly, and a lot of research is aimed at solving the problem of explainable artificial …
Diagnosing AI explanation methods with folk concepts of behavior
We investigate a formalism for the conditions of a successful explanation of AI. We consider
“success” to depend not only on what information the explanation contains, but also on what …
“success” to depend not only on what information the explanation contains, but also on what …
Automated cyber defence: A review
S Vyas, J Hannay, A Bolton, PP Burnap - arXiv preprint arXiv:2303.04926, 2023 - arxiv.org
Within recent times, cybercriminals have curated a variety of organised and resolute cyber
attacks within a range of cyber systems, leading to consequential ramifications to private and …
attacks within a range of cyber systems, leading to consequential ramifications to private and …
[HTML][HTML] Advancing solar energy integration: Unveiling XAI insights for enhanced power system management and sustainable future
MK Nallakaruppan, N Shankar, PB Bhuvanagiri… - Ain Shams Engineering …, 2024 - Elsevier
Solar energy has emerged as a vital renewable alternative to fossil fuels, enhancing
environmental sustainability in response to the pressing need to reduce carbon emissions …
environmental sustainability in response to the pressing need to reduce carbon emissions …