Explainable Artificial Intelligence (XAI) for Air Quality Assessment [PDF]
Accurate air quality analysis is essential for comprehending the reasons for and consequences of air pollution, which is a serious environmental concern. Understanding the underlying causes contributing to pollution levels is challenging when using traditional methodologies for air quality analysis since they frequently lack transparency and ...
Sayan Chakraborty +2 more
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Examining the Relationship between Land Use/Land Cover (LULC) and Land Surface Temperature (LST) Using Explainable Artificial Intelligence (XAI) Models: A Case Study of Seoul, South Korea. [PDF]
Int J Environ Res Public Health, 2022 Kim M, Kim D, Kim G.
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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 Recently, artificial intelligence and machine learning in general have demonstrated remarkable performances in many tasks, from image processing to natural language processing, especially with the advent of deep learning. Along with research progress, they have encroached upon many different fields and disciplines.
Erico Tjoa, Cuntai Guan
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An Intrusion Detection System over the IoT Data Streams Using eXplainable Artificial Intelligence (XAI). [PDF]
Sensors (Basel)Alabbadi A, Bajaber F.
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Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study [PDF]
, 2023 Liu X +7 more
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Cogent Engineering, 2023 Stroke presents a formidable global health threat, carrying significant risks and challenges. Timely intervention and improved outcomes hinge on the integration of Explainable Artificial Intelligence (XAI) into medical decision-making.
Daraje Kaba Gurmessa, Worku Jimma
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Unlocking the Potential of Explainable Artificial Intelligence in Remote Sensing Big Data
Remote Sensing, 2023 In the ever-evolving landscape of artificial intelligence and big data, the concept of explainable artificial intelligence (XAI) [...]
Peng Liu, Lizhe Wang, Jun Li
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Explainable Artificial Intelligence (XAI) as a foundation for trustworthy artificial intelligence
The rapid integration of artificial intelligence (AI) into various sectors necessitates a focus on trustworthiness, characterized by principles such as fairness, transparency, accountability, robustness, privacy, and ethics. Explainable AI has become essential and central to the achievement of trustworthy AI by answering the "black box" nature of top ...
Nitin Liladhar Rane +1 more
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Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
IEEE Access, 2022 This survey presents a comprehensive review of current literature on Explainable Artificial Intelligence (XAI) methods for cyber security applications. Due to the rapid development of Internet-connected systems and Artificial Intelligence in recent years,
Zhibo Zhang +4 more
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Explainable Artificial Intelligence (XAI)
Information Technology and Libraries, 2022 The field of explainable artificial intelligence (XAI) advances techniques, processes, and strategies that provide explanations for the predictions, recommendations, and decisions of opaque and complex machine learning systems. Increasingly academic libraries are providing library users with systems, services, and collections created and delivered by ...
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