Zobrazeno 1 - 10
of 2 315
pro vyhledávání: '"Pelletreau, A."'
Deep neural networks (DNNs) achieve state-of-the-art performance on many tasks, but this often requires increasingly larger model sizes, which in turn leads to more complex internal representations. Explainability techniques (XAI) have made remarkabl
Externí odkaz:
http://arxiv.org/abs/2411.02168
Autor:
Pelletreau, Robert H.
Publikováno v:
U.S. Department of State Dispatch. 09/30/96, Vol. 7 Issue 40, p484. 5p.
Autor:
Pelletreau, Robert H.
Publikováno v:
U.S. Department of State Dispatch. 10/3/94, Vol. 5 Issue 40, p659. 4p.
Autor:
Pelletreau, Robert H.
Publikováno v:
U.S. Department of State Dispatch. 11/28/94, Vol. 5 Issue 48, p791. 5p.
Autor:
Pelletreau, Robert H.
Publikováno v:
U.S. Department of State Dispatch. 10/10/94, Vol. 5 Issue 41, p681. 5p.
Autor:
Pelletreau, Robert H.
Publikováno v:
U.S. Department of State Dispatch. 2/12/96, Vol. 7 Issue 7, p42. 3p.
Autor:
Pelletreau, Robert H.
Publikováno v:
U.S. Department of State Dispatch. 10/30/95, Vol. 6 Issue 44, p800. 3p.
Autor:
Pelletreau, Robert H.
Publikováno v:
U.S. Department of State Dispatch. 9/26/94, Vol. 5 Issue 39, p641. 3p.
Autor:
Pelletreau, Robert H.
Publikováno v:
U.S. Department of State Dispatch. 4/18/94, Vol. 5 Issue 16, p219. 3p.
Publikováno v:
PLoS ONE, Vol 17, Iss 11, p e0264604 (2022)
We developed a quantitative Instrument for measuring Temporal and Social Disorientation (ITSD), aimed at major crises such as the Covid-19 pandemic. Disorientation has been identified as one of the central elements of the psychological impact of the
Externí odkaz:
https://doaj.org/article/1eff7274881f4bad80d7756a9e4216db