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pro vyhledávání: '"Tafler, David"'
Large and well-annotated datasets are essential for advancing deep learning applications, however often costly or impossible to obtain by a single entity. In many areas, including the medical domain, approaches relying on data sharing have become cri
Externí odkaz:
http://arxiv.org/abs/2408.00639
Explaining concepts by contrasting examples is an efficient and convenient way of giving insights into the reasons behind a classification decision. This is of particular interest in decision-critical domains, such as medical diagnostics. One particu
Externí odkaz:
http://arxiv.org/abs/2308.14163
In the last years, XAI research has mainly been concerned with developing new technical approaches to explain deep learning models. Just recent research has started to acknowledge the need to tailor explanations to different contexts and requirements
Externí odkaz:
http://arxiv.org/abs/2110.03759
Autor:
Finzel, Bettina, Saranti, Anna, Angerschmid, Alessa, Tafler, David, Pfeifer, Bastian, Holzinger, Andreas
Publikováno v:
KI: Künstliche Intelligenz; Dec2022, Vol. 36 Issue 3/4, p271-285, 15p
Akademický článek
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Autor:
Tafler, David I., D'Agostino, Peter
The techno / natural interface examines a series of World-Wide-Walks projects from the 1970s to the present. The inquiry extends our work on The Techno / Cultural Interface: tracking the boundaries of high-tech and traditional cultures presented at T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______293::3361ac398349ff6f5fd5cadee5cfdf48
https://hdl.handle.net/2123/9717
https://hdl.handle.net/2123/9717
Autor:
Tafler, David I.
Publikováno v:
Pacific Journalism Review: Te Koakoa; Apr2005, Vol. 11 Issue 1, p155-173, 19p
Autor:
Tafler, David I.
Publikováno v:
Convergence: The Journal of Research into New Media Technologies; Mar2000, Vol. 6 Issue 1, p8-19, 12p