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Explainable Artificial Intelligence in Healthcare: XAI-Healthcare 2021 [PDF]
, 2021 XAI-Healthcare event provided a place for intensive discussion on all aspects of eXplainable Arti cial Intelligence (XAI) in the medical and healthcare eld.
Juarez, Jose M. +3 more
core
, 2022 Scripts for visualizing (rows, columns, channels) outputs of XAI ...
Evan Krell
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Transparency and Explainable AI: Bridging Privacy, Fairness, and Accountability [PDF]
Revista de Management Comparat InternationalThis paper examines whether Explainable Artificial Intelligence (XAI) can address AI ethics, specifically, privacy, fairness, and accountability, by linking technical transparency with interpretability to facilitate ethical oversight.
Dragos VIERU, Renée-Maria SCHMITT
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Adversarial XAI Methods in Cybersecurity [PDF]
IEEE Transactions on Information Forensics and Security, 2021 Machine Learning methods are playing a vital role in combating ever-evolving threats in the cybersecurity domain. Explanation methods that shed light on the decision process of black-box classifiers are one of the biggest drivers in the successful adoption of these models.
Aditya Kuppa, Nhien-An Le-Khac
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Heliyon, 2023 Background: Significant advancements in the field of information technology have influenced the creation of trustworthy explainable artificial intelligence (XAI) in healthcare.
Jinsun Jung +3 more
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AI MagazineAbstractResearchers focusing on how artificial intelligence (AI) methods explain their decisions often discuss controversies and limitations. Some even assert that most publications offer little to no valuable contributions. In this article, we substantiate the claim that explainable AI (XAI) is in trouble by describing and illustrating four problems ...
Rosina O. Weber +3 more
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Feature Importance in Machine Learning with Explainable Artificial Intelligence (XAI) for Rainfall Prediction [PDF]
ITM Web of ConferencesPrecipitation expectation is a pivotal subject for the administration of water assets and counteraction of hydrological calamities. To make a precipitation forecast and find the essential elements influencing precipitation, this study presents a logical ...
Patel Mehul, Shah Ankit
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Explainable AI: A Review of Machine Learning Interpretability Methods
Entropy, 2020 Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks.
Pantelis Linardatos +2 more
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Understanding Food Security and Hunger in Xai-Xai, Mozambique
, 2022 AbstractThe cyclical alternation of drought, cyclones and floods threaten food security for households in rapidly growing coastal cities such as Xai-Xai, Mozambique. Inhabitants of Xai-Xai are highly dependent on urban subsistence agriculture and informal markets in order to guarantee food for their households.
Inês Macamo Raimundo, Mary Caesar
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Evaluation of Similarity of Image Explanations Produced by SHAP, LIME and Grad-CAM
Кібернетика та комп'ютерні технологіїIntroduction. Convolutional neural networks (CNNs) are a subtype of neural networks developed specifically to work with images [1]. They have achieved great success both in research and in practical applications in recent years, however, one of the major
Vladyslav Yavtukhovskyi +1 more
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