Results 11 to 20 of about 1,214,867 (285)

Explainable AI (ex-AI) [PDF]

Informatik-Spektrum, 2018
,,Explainable AI“ ist kein neues Gebiet. Vielmehr ist das Problem der Erklarbarkeit so alt wie die AI selbst, ja vielmehr das Resultat ihrer selbst. Wahrend regelbasierte Losungen der fruhen AI nachvollziehbare ,,Glass-Box“-Ansatze darstellten, lag deren Schwache im Umgang mit Unsicherheiten der realen Welt.
Holzinger, Andreas, Andreas Holzinger
openaire   +3 more sources

xxAI - Beyond Explainable AI [PDF]

, 2022
This is an open access book. Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become ...
Fong, Ruth, Ed., Moon, Taesup, Ed., Holzinger, Andreas, Ed., Samek, Wojciech, Ed., Tsai, Chun-Hua, Goebel, Randy, Ed., Muller, Klaus-Robert, Ed.   +6 more
core   +4 more sources

eXplainable AI (XAI) - Lecture 1-

, 2021
Primera sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AI6583.mp4 6583 ...
Lapuschkin, Sebastian
core   +2 more sources

eXplainable AI (XAI) -Lecture 3-

, 2021
Tercera sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AI6585.mp4 6585 ...
Lapuschkin, Sebastian
core   +2 more sources

eXplainable AI (XAI) -Lecture 2-

, 2021
Segona sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AI6584.mp4 6584 ...
Lapuschkin, Sebastian
core   +2 more sources

Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy

npj Digital Medicine, 2023
White light endoscopy is the most pivotal tool for detecting early gastric neoplasms. Previous artificial intelligence (AI) systems were primarily unexplainable, affecting their clinical credibility and acceptability.
Zehua Dong, Junxiao Wang, Yanxia Li, Yunchao Deng, Wei Zhou, Xiaoquan Zeng, Dexin Gong, Jun Liu, Jie Pan, Renduo Shang, Youming Xu, Ming Xu, Lihui Zhang, Mengjiao Zhang, Xiao Tao, Yijie Zhu, Hongliu Du, Zihua Lu, Liwen Yao, Lianlian Wu, Honggang Yu   +20 more
doaj   +1 more source

Review of Software Engineering Techniques and Methods Based on Explainable Artificial Intelligence [PDF]

Jisuanji kexue, 2023
In terms of information processing and decision-making,artificial intelligence(AI) methods have shown superior performance compared to traditional methods.However,when AI models are put into production,their output results are not guaranteed to be ...
XING Ying
doaj   +1 more source

Explainable AI: A Neurally-Inspired Decision Stack Framework

Biomimetics, 2022
European law now requires AI to be explainable in the context of adverse decisions affecting the European Union (EU) citizens. At the same time, we expect increasing instances of AI failure as it operates on imperfect data.
Muhammad Salar Khan, Mehdi Nayebpour, Meng-Hao Li, Hadi El-Amine, Naoru Koizumi, James L. Olds   +5 more
doaj   +1 more source

eXplainable AI (2023) - Sessió 2

, 2023
Segona sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AISecond session of the seminar given by guest professor Sebastian Lapuschkin, Fraunhofer Institute Berlin, on ...
Lapuschkin, Sebastian
core   +2 more sources

eXplainable AI (2023) - Sessió 3

, 2023
Tercera sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AIThird session of the seminar given by guest professor Sebastian Lapuschkin, Fraunhofer Institute Berlin, on ...
Lapuschkin, Sebastian
core   +2 more sources