Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Rivera, Juan Pablo"'
Autor:
Martínez-Márquez, Alberto
Publikováno v:
Confluencia, 2023 Apr 01. 38(2), 178-180.
Externí odkaz:
https://www.jstor.org/stable/27219290
Autor:
Xu, Dylan, Rivera, Juan-Pablo
Recent advances in deep learning have brought attention to the possibility of creating advanced, general AI systems that outperform humans across many tasks. However, if these systems pursue unintended goals, there could be catastrophic consequences.
Externí odkaz:
http://arxiv.org/abs/2410.04683
Autor:
Rivera, Juan-Pablo, Mukobi, Gabriel, Reuel, Anka, Lamparth, Max, Smith, Chandler, Schneider, Jacquelyn
Publikováno v:
The 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT 24), June 3-6, 2024, Rio de Janeiro, Brazil
Governments are increasingly considering integrating autonomous AI agents in high-stakes military and foreign-policy decision-making, especially with the emergence of advanced generative AI models like GPT-4. Our work aims to scrutinize the behavior
Externí odkaz:
http://arxiv.org/abs/2401.03408
Autor:
Verrelst, Jochem, Rivera, Juan Pablo, Gitelson, Anatoly, Delegido, Jesus, Moreno, José, Camps-Valls, Gustau
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation Volume 52, October 2016, Pages 554-567
With current and upcoming imaging spectrometers, automated band analysis techniques are needed to enable efficient identification of most informative bands to facilitate optimized processing of spectral data into estimates of biophysical variables. T
Externí odkaz:
http://arxiv.org/abs/2012.08640
Autor:
Verrelst, ochem, Dethier, Sara, Rivera, Juan Pablo, Muñoz-Marí, Jordi, Camps-Valls, Gustau, Moreno, José
Publikováno v:
IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 7, pp. 1012-1016, July 2016
Kernel-based machine learning regression algorithms (MLRAs) are potentially powerful methods for being implemented into operational biophysical variable retrieval schemes. However, they face difficulties in coping with large training datasets. With t
Externí odkaz:
http://arxiv.org/abs/2012.04468
Autor:
Singh, Prachi, Srivastava, Prashant K., Verrelst, Jochem, Mall, R.K., Rivera, Juan Pablo, Dugesar, Vikas, Prasad, Rajendra
Publikováno v:
In Ecological Informatics July 2023 75
Autor:
Trigo, Benigno1
Publikováno v:
Revista de Estudios Hispánicos. mar2023, Vol. 57 Issue 1, p109-111. 4p.
Autor:
Sinha, Sanjiv K., Padalia, Hitendra *, Dasgupta, Anindita, Verrelst, Jochem, Rivera, Juan Pablo
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation April 2020 86
Akademický článek
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