Results 11 to 20 of about 29,455 (191)
ISPRS International Journal of Geo-Information, 2023 Explainable Artificial Intelligence (XAI) has the potential to open up black-box machine learning models. XAI can be used to optimize machine learning models, to search for scientific findings, or to improve the understandability of the AI system for the
Cédric Roussel, Klaus Böhm
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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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Argumentative XAI: A Survey [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 Explainable AI (XAI) has been investigated for decades and, together with AI itself, has witnessed unprecedented growth in recent years. Among various approaches to XAI, argumentative models have been advocated in both the AI and social science literature, as their dialectical nature appears to match some basic desirable features of the explanation ...
Čyras, Kristijonas +4 more
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XAI-KG: Knowledge Graph to Support XAI and Decision-Making in Manufacturing [PDF]
, 2021 The increasing adoption of artificial intelligence requires accurate forecasts and means to understand the reasoning of artificial intelligence models behind such a forecast. Explainable Artificial Intelligence (XAI) aims to provide cues for why a model issued a certain prediction.
Jože M. Rožanec +5 more
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, 2023 Full Changelog: https://github.com/tchanda90/Derma-XAI/commits ...
Tirtha Chanda
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Journal of Intelligent Systems, 2023 In 2019, lung disease severely affected human health and was later renamed coronavirus disease 2019 (COVID-2019). Since then, several research methods have been proposed, such as reverse transcription polymerase chain reaction (RT-PCR), and disease ...
Koyyada Shiva Prasad, Singh Thipendra P.
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XAI USING FORMAL CONCEPT LATTICE FOR IMAGE DATA [PDF]
ICTACT Journal on Image and Video Processing, 2023 A Formal concept lattice can be used to generate explanations from a black box model. This novel approach has been applied and proven for tabular data. It has also been compared to popular techniques in XAI.
Bhaskaran Venkatsubramaniam +1 more
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XAI for Predictive Maintenance
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023 The field of Explainable Predictive Maintenance (PM) is concerned with developing methods that can clarify how AI systems operate in the PM domain. One of the challenges of creating maintenance plans is integrating AI output with human decision-making pro- cesses and expertise.
Gama, Joao +5 more
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Ecology and Society, 2019 Indigenous marine governance is increasingly recognized as having a crucial role in marine management and conservation, yet most examples are from the tropical Pacific and Oceania.
Natalie Ban, Emma Wilson, Doug Neasloss
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Recruitment systems nowadays: how XAI can improve trust [PDF]
, 2023 openThe use of artificial intelligence systems has a strong impact on people’s lives. One of the fields of application in which these systems are being tested is job recruitment.
GORTANA, CESARE
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