Explainable artificial intelligence: a comprehensive review
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 …
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …
A systematic review of explainable artificial intelligence in terms of different application domains and tasks
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 …
and are now being employed in almost every application domain to develop automated or …
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
W Ding, M Abdel-Basset, H Hawash, AM Ali - Information Sciences, 2022 - Elsevier
The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …
strategy of decision-making in different life domains. Regardless of this achievement, AI …
Federated neural architecture search for medical data security
X Liu, J Zhao, J Li, B Cao, Z Lv - IEEE transactions on industrial …, 2022 - ieeexplore.ieee.org
Medical data widely exist in the hospital and personal life, usually across institutions and
regions. They have essential diagnostic value and therapeutic significance. The disclosure …
regions. They have essential diagnostic value and therapeutic significance. The disclosure …
Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: A systematic survey
Deep neural networks (DNN) have remarkably progressed in applications involving large
and complex datasets but have been criticized as a black-box. This downside has recently …
and complex datasets but have been criticized as a black-box. This downside has recently …
Explainable convolutional neural networks: A taxonomy, review, and future directions
Convolutional neural networks (CNNs) have shown promising results and have
outperformed classical machine learning techniques in tasks such as image classification …
outperformed classical machine learning techniques in tasks such as image classification …
The fusion of deep learning and fuzzy systems: A state-of-the-art survey
Deep learning presents excellent learning ability in constructing learning model and greatly
promotes the development of artificial intelligence, but its conventional models cannot …
promotes the development of artificial intelligence, but its conventional models cannot …
Deep learning in diverse intelligent sensor based systems
Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …
virtually all fields of science and engineering. The increasing complexity and the large …
An attribution graph-based interpretable method for CNNs
Abstract Convolutional Neural Networks (CNNs) have demonstrated outstanding
performance in various domains, such as face recognition, object detection, and image …
performance in various domains, such as face recognition, object detection, and image …
Optimized sustainable manufacturing through fuzzy control in image-based visual servoing with velocity and field-of-view constraints
The performance of image-based visual servoing (IBVS) in dynamic, high-speed, and high-
precision applications is a major issue in sustainable and smart manufacturing systems. The …
precision applications is a major issue in sustainable and smart manufacturing systems. The …