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ChaLearn Looking at People: Inpainting and Denoising challenges

Autor: Escalera, S., Soler, M., Ayache, S., Güçlü, U., Wan, J., Madadi, M., Baró, X., Escalante, H.J., Guyon, I.

Publikováno v: Escalera, S.; Ayache, S.; Wan, J. (ed.), Inpainting and denoising challenges: Conference proceedings, 23-44. Cham : Springer
STARTPAGE=23;ENDPAGE=44;TITLE=Escalera, S.; Ayache, S.; Wan, J. (ed.), Inpainting and denoising challenges: Conference proceedings
Escalera, S.; Ayache, S.; Wan, J. (ed.), Inpainting and denoising challenges: Conference proceedings, pp. 23-44

Item does not contain fulltext Dealing with incomplete information is a well studied problem in the context of machine learning and computational intelligence. However, in the context of computer vision, the problem has only been studied in specific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::944230a86695ff84d2e4cc9b509fa777
http://arxiv.org/abs/2106.13071

Explanation methods in deep learning: Users, values, concerns and challenges

Autor: Ras, G.E.H., Gerven, M.A.J. van, Haselager, W.F.G., Escalante, H.J., Escalera, S., Guyon, I., Baró, X., Güçlütürk, Y., Güçlü, U., Gerven, M. van

Publikováno v: Escalante, H.J.; Escalera, S.; Guyon, I. (ed.), Explainable and interpretable models in computer vision and machine learning, pp. 19-36
Springer Series on Challenges in Machine Learning, 19-36. Cham : Springer International Publishing
STARTPAGE=19;ENDPAGE=36;TITLE=Springer Series on Challenges in Machine Learning
The Springer Series on Challenges in Machine Learning ISBN: 9783319981307

Item does not contain fulltext Issues regarding explainable AI involve four components: users, laws and regulations, explanations and algorithms. Together these components provide a context in which explanation methods can be evaluated regarding thei

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd025dc86b8fdd1a09562d70452cb0b3
https://hdl.handle.net/2066/198290

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