Results 41 to 50 of about 78,288 (166)
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data [PDF]
, 2018 The current gold standard for human activity recognition (HAR) is based on the use of cameras. However, the poor scalability of camera systems renders them impractical in pursuit of the goal of wider adoption of HAR in mobile computing contexts ...
Brophy, Eoin +4 more
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Explainable Software Bot Contributions: Case Study of Automated Bug Fixes
, 2019 In a software project, esp. in open-source, a contribution is a valuable piece of work made to the project: writing code, reporting bugs, translating, improving documentation, creating graphics, etc.
Monperrus, Martin
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Ontologies for Smart Agriculture: A Path Toward Explainable AI—A Systematic Literature Review
IEEE AccessSmart agriculture has grown significantly over the last few years, particularly with the integration of advanced technologies (e.g., the Internet of Things, robots, artificial intelligence, etc.), leading to the development of intelligent agricultural ...
Rima Grati +2 more
doaj +1 more source
A Survey on Explainable Artificial Intelligence for Cybersecurity
IEEE Transactions on Network and Service Management, 2023 The black-box nature of artificial intelligence (AI) models has been the source of many concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a rapidly growing research field that aims to create machine learning models that can provide clear and interpretable explanations for their decisions and actions.
Gaith Rjoub +7 more
openaire +2 more sources
Journal of Digital Technologies and LawObjective: to study the “right to explanation” in the context of the PEEC doctrine (public interest, environmental sustainability, economic development, criminal justice) in order to develop key performance indicators reflecting the socio-cultural ...
N. Bhatt, J. N. Bhatt
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Toward Accountable and Explainable Artificial Intelligence Part One: Theory and Examples
IEEE Access, 2022 Like other Artificial Intelligence (AI) systems, Machine Learning (ML) applications cannot explain decisions, are marred with training-caused biases, and suffer from algorithmic limitations.
Masood M. Khan, Jordan Vice
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Advancing Artificial Intelligence in Sensors, Signals, and Imaging Informatics. [PDF]
, 2019 ObjectiveTo identify research works that exemplify recent developments in the field of sensors, signals, and imaging informatics.MethodA broad literature search was conducted using PubMed and Web of Science, supplemented with individual papers that were ...
Baumgartner, Christian +3 more
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Hardware Acceleration of Explainable Artificial Intelligence
CoRR, 2023 arXiv admin note: substantial text overlap with arXiv:2103 ...
Zhixin Pan, Prabhat Mishra 0001
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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 +5 more
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CECCAR Business ReviewThe demands of controlling when meeting cutting-edge technology are quite high given its underlying principles, its prospective character, flexibility, but also the desire for transparency, ethics, and responsibility.
Luana COSĂCESCU
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