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 …

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 …

[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] Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities

W Saeed, C Omlin - Knowledge-Based Systems, 2023 - Elsevier
The past decade has seen significant progress in artificial intelligence (AI), which has
resulted in algorithms being adopted for resolving a variety of problems. However, this …

A multidisciplinary survey and framework for design and evaluation of explainable AI systems

S Mohseni, N Zarei, ED Ragan - ACM Transactions on Interactive …, 2021 - dl.acm.org
The need for interpretable and accountable intelligent systems grows along with the
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable 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 …

Visual analytics in deep learning: An interrogative survey for the next frontiers

F Hohman, M Kahng, R Pienta… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Deep learning has recently seen rapid development and received significant attention due
to its state-of-the-art performance on previously-thought hard problems. However, because …

CNN explainer: learning convolutional neural networks with interactive visualization

ZJ Wang, R Turko, O Shaikh, H Park… - … on Visualization and …, 2020 - ieeexplore.ieee.org
Deep learning's great success motivates many practitioners and students to learn about this
exciting technology. However, it is often challenging for beginners to take their first step due …

explAIner: A visual analytics framework for interactive and explainable machine learning

T Spinner, U Schlegel, H Schäfer… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
We propose a framework for interactive and explainable machine learning that enables
users to (1) understand machine learning models;(2) diagnose model limitations using …

Retainvis: Visual analytics with interpretable and interactive recurrent neural networks on electronic medical records

BC Kwon, MJ Choi, JT Kim, E Choi… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
We have recently seen many successful applications of recurrent neural networks (RNNs)
on electronic medical records (EMRs), which contain histories of patients' diagnoses …