Results 21 to 30 of about 24,617 (284)

Knowledge Graphs and Explainable AI in Healthcare

Information, 2022
Building trust and transparency in healthcare can be achieved using eXplainable Artificial Intelligence (XAI), as it facilitates the decision-making process for healthcare professionals.
Enayat Rajabi, Somayeh Kafaie
doaj   +1 more source

Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps [PDF]

, 2020
With advances in reinforcement learning (RL), agents are now being developed in high-stakes application domains such as healthcare and transportation.
Amir, Ofra, André, Elisabeth, Huber, Tobias, Weitz, Katharina   +3 more
core   +2 more sources

Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification

Entropy, 2023
The Korean film market has been rapidly growing, and the importance of explainable artificial intelligence (XAI) in the film industry is also increasing.
Subeen Leem, Jisong Oh, Dayeong So, Jihoon Moon   +3 more
doaj   +1 more source

A systematic approach to enhance the explainability of artificial intelligence in healthcare with application to diagnosis of diabetes

Healthcare Analytics, 2023
Explainable artificial intelligence (XAI) tools are used to enhance the applications of existing artificial intelligence (AI) technologies by explaining their execution processes and results.
Yu-Cheng Wang, Tin-Chih Toly Chen, Min-Chi Chiu   +2 more
doaj   +1 more source

Review of Software Engineering Techniques and Methods Based on Explainable Artificial Intelligence [PDF]

Jisuanji kexue, 2023
In terms of information processing and decision-making,artificial intelligence(AI) methods have shown superior performance compared to traditional methods.However,when AI models are put into production,their output results are not guaranteed to be ...
XING Ying
doaj   +1 more source

Explaining Deep Learning-Based Driver Models

Applied Sciences, 2021
Different systems based on Artificial Intelligence (AI) techniques are currently used in relevant areas such as healthcare, cybersecurity, natural language processing, and self-driving cars.
Maria Paz Sesmero Lorente, Elena Magán Lopez, Laura Alvarez Florez, Agapito Ledezma Espino, José Antonio Iglesias Martínez, Araceli Sanchis de Miguel   +5 more
doaj   +1 more source

Methods and standards for research on explainable artificial intelligence: Lessons from intelligent tutoring systems

Applied AI Letters, 2021
The DARPA Explainable Artificial Intelligence (AI) (XAI) Program focused on generating explanations for AI programs that use machine learning techniques. This article highlights progress during the DARPA Program (2017‐2021) relative to research since the
William J. Clancey, Robert R. Hoffman
doaj   +1 more source

Explainable AI for designers: A human-centered perspective on mixed-initiative co-creation [PDF]

, 2018
Growing interest in eXplainable Artificial Intelligence (XAI) aims to make AI and machine learning more understandable to human users. However, most existing work focuses on new algorithms, and not on usability, practical interpretability and efficacy on
Bidarra, Rafael, Liapis, Antonios, Risi, Sebastian, Youngblood, G Michael, Zhu, Jichen   +4 more
core   +1 more source

Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence

Information, 2023
Stroke occurs when a brain’s blood artery ruptures or the brain’s blood supply is interrupted. Due to rupture or obstruction, the brain’s tissues cannot receive enough blood and oxygen. Stroke is a common cause of mortality among older people.
Susmita S, Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga, Swathi Katta S   +5 more
doaj   +1 more source

A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques

IEEE Access, 2021
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 support, healthcare, and security.
Mobeen Nazar, Muhammad Mansoor Alam, Eiad Yafi, Mazliham Mohd Su'ud   +3 more
doaj   +1 more source