Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Explainable Artificial Intel-ligence"'
Autor:
Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst
Publikováno v:
2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022, 1-8
STARTPAGE=1;ENDPAGE=8;TITLE=2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022
STARTPAGE=1;ENDPAGE=8;TITLE=2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022
Machine Learning (ML) models play an important role in healthcare thanks to their remarkable performance in predicting complex phenomena. During the COVID-19 pandemic, different ML models were implemented to support decisions in the medical settings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd1c3d1139919d308ebb0721d59d221a
https://hdl.handle.net/10278/5007341
https://hdl.handle.net/10278/5007341
Conference
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Conference
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Autor:
Conlon, Nicholas1 (AUTHOR) nicholas.conlon@colorado.edu, Ahmed, Nisar R.1 (AUTHOR) nisar.ahmed@colorado.edu, Szafir, Daniel2 (AUTHOR) daniel.szafir@cs.unc.edu
Publikováno v:
ACM Computing Surveys. Jul2024, Vol. 56 Issue 7, p1-31. 31p.
Autor:
Ovidiu Vermesan, Dave Marples
The intersection of AI, the Internet of Things (IoT) and edge computing has kindled the edge AI revolution that promises to redefine how we perceive and interact with the physical world through intelligent devices. Edge AI moves intelligence from the
Autor:
B. K. Tripathy, Hari Seetha
Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the
The third edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data. This book is thoroughly updated to meet the nee
Autor:
Tan Yigitcanlar
This volume thoroughly explores the perceptions and ethical considerations surrounding urban artificial intelligence (AI). Tan Yigitcanlar delves into the complex public and professional views on AI, offering invaluable insights for policymakers, urb
Autor:
Samad Sepasgozar, Sara Shirowzhan
The aim of this edited book volume is to present new concepts, and applications of Digital Twin and relevant tools in the built environment context. The book identifies key organisational factors that influence the adoption of technology within the a
This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications fo