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 …

A survey of visual analytics techniques for machine learning

J Yuan, C Chen, W Yang, M Liu, J Xia, S Liu - Computational Visual Media, 2021 - Springer
Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

[HTML][HTML] Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

S Ali, T Abuhmed, S El-Sappagh, K Muhammad… - Information fusion, 2023 - Elsevier
Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

[HTML][HTML] Towards better analysis of machine learning models: A visual analytics perspective

S Liu, X Wang, M Liu, J Zhu - Visual Informatics, 2017 - Elsevier
Interactive model analysis, the process of understanding, diagnosing, and refining a
machine learning model with the help of interactive visualization, is very important for users …

A survey of surveys on the use of visualization for interpreting machine learning models

A Chatzimparmpas, RM Martins… - Information …, 2020 - journals.sagepub.com
Research in machine learning has become very popular in recent years, with many types of
models proposed to comprehend and predict patterns and trends in data originating from …

An evaluation of semantically grouped word cloud designs

MA Hearst, E Pedersen, L Patil, E Lee… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Word clouds continue to be a popular tool for summarizing textual information, despite their
well-documented deficiencies for analytic tasks. Much of their popularity rests on their playful …

Recent research advances on interactive machine learning

L Jiang, S Liu, C Chen - Journal of Visualization, 2019 - Springer
Interactive machine learning (IML) is an iterative learning process that tightly couples a
human with a machine learner, which is widely used by researchers and practitioners to …

Recent advances and challenges in uncertainty visualization: a survey

A Kamal, P Dhakal, AY Javaid, VK Devabhaktuni… - Journal of …, 2021 - Springer
With data comes uncertainty, which is a widespread and frequent phenomenon in data
science and analysis. The amount of information available to us is growing exponentially …

A survey on visual analytics of social media data

Y Wu, N Cao, D Gotz, YP Tan… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The unprecedented availability of social media data offers substantial opportunities for data
owners, system operators, solution providers, and end users to explore and understand …

Bridging text visualization and mining: A task-driven survey

S Liu, X Wang, C Collins, W Dou… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …