Zobrazeno 1 - 10
of 14 971
pro vyhledávání: '"explainable artificial intelligence (XAI)"'
Autor:
Ma, Shuai
With the advances of AI research, AI has been increasingly adopted in numerous domains, ranging from low-stakes daily tasks such as movie recommendations to high-stakes tasks such as medicine, and criminal justice decision-making. Explainability is b
Externí odkaz:
http://arxiv.org/abs/2410.21183
Publikováno v:
Journal of Internet Computing & Services. Apr2024, Vol. 25 Issue 2, p11-19. 9p.
Artificial Intelligence (AI) models have reached a very significant level of accuracy. While their superior performance offers considerable benefits, their inherent complexity often decreases human trust, which slows their application in high-risk de
Externí odkaz:
http://arxiv.org/abs/2407.15909
Autor:
Moulaei, Khadijeh1 (AUTHOR), Afrash, Mohammad Reza2 (AUTHOR), Parvin, Mohammad3 (AUTHOR), Shadnia, Shahin4 (AUTHOR), Rahimi, Mitra4 (AUTHOR), Mostafazadeh, Babak4 (AUTHOR), Evini, Peyman Erfan Talab4 (AUTHOR), Sabet, Babak2,5 (AUTHOR), Vahabi, Seyed Mohammad6 (AUTHOR), Soheili, Amirali7 (AUTHOR), Fathy, Mobin6,8 (AUTHOR), Kazemi, Arya8 (AUTHOR), Khani, Sina8 (AUTHOR), Mortazavi, Seyed Mohammad8 (AUTHOR), Hosseini, Sayed Masoud4 (AUTHOR) hoseinim902@gmail.com
Publikováno v:
Scientific Reports. 7/8/2024, Vol. 14 Issue 1, p1-15. 15p.
Autor:
Bai, Samita, Nasir, Sidra, Khan, Rizwan Ahmed, Arif, Sheeraz, Meyer, Alexandre, Konik, Hubert
Breast cancer (BC) stands as one of the most common malignancies affecting women worldwide, necessitating advancements in diagnostic methodologies for better clinical outcomes. This article provides a comprehensive exploration of the application of E
Externí odkaz:
http://arxiv.org/abs/2406.00532
Autor:
Aparicio-Aparicio, Inmaculada1 (AUTHOR), Ruescas-Nicolau, Maria-Arantzazu2 (AUTHOR) Arancha.Ruescas@uv.es, Dueñas, Lirios2 (AUTHOR), Sánchez-Jiménez, José Luis1 (AUTHOR), Sánchez-Sánchez, M.Luz2 (AUTHOR), Alcántara, Enrique3 (AUTHOR)
Publikováno v:
Applied Artificial Intelligence. 2024, Vol. 38 Issue 1, p1-25. 25p.
Autor:
Liu, Jia1,2,3,4,5 (AUTHOR) liujia@imde.ac.cn, Wang, Yukuan1,2 (AUTHOR) luyafeng@imde.ac.cn, Lu, Yafeng1,2 (AUTHOR), Zhao, Pengguo3 (AUTHOR), Wang, Shunjiu4 (AUTHOR) ida2008891229@163.com, Sun, Yu6 (AUTHOR) sunyu1018@126.com, Luo, Yu4 (AUTHOR)
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 19, p3602. 27p.
Autor:
Chung, Neo Christopher, Chung, Hongkyou, Lee, Hearim, Brocki, Lennart, Chung, Hongbeom, Dyer, George
A cautious interpretation of AI regulations and policy in the EU and the USA place explainability as a central deliverable of compliant AI systems. However, from a technical perspective, explainable AI (XAI) remains an elusive and complex target wher
Externí odkaz:
http://arxiv.org/abs/2405.03820