Zobrazeno 1 - 10
of 10 806
pro vyhledávání: '"Lavín, P."'
Autor:
Lavin, Eduardo, Ruiz-Garcia, Miguel
Dynamical loss functions are derived from standard loss functions used in supervised classification tasks, but they are modified such that the contribution from each class periodically increases and decreases. These oscillations globally alter the lo
Externí odkaz:
http://arxiv.org/abs/2410.10690
Teams of mobile [aerial, ground, or aquatic] robots have applications in resource delivery, patrolling, information-gathering, agriculture, forest fire fighting, chemical plume source localization and mapping, and search-and-rescue. Robot teams trave
Externí odkaz:
http://arxiv.org/abs/2409.12114
Autor:
Sophie Large
Publikováno v:
L'Ordinaire des Amériques, Vol 229 (2022)
This article analyzes the lesbian characters in Puerto Rican narrative and examines the strategies of visibility of sexual minorities. In the texts studied, lesbians are monstrous figures that reactivate topics of the gothic or science fiction tradit
Externí odkaz:
https://doaj.org/article/ea530a837b494f1da35bcce88cd330db
Autor:
Briceño, Javier D.
Publikováno v:
Global Privacy Law Review; May 2024, Vol. 5 Issue: 2 p1-5, 5p
Autor:
Briceño, Javier D.
Publikováno v:
Global Privacy Law Review; May 2024, Vol. 5 Issue: 2 p1-5, 5p
Autor:
Lavin, Ryan, Liu, Xuekai, Mohanty, Hardhik, Norman, Logan, Zaarour, Giovanni, Krishnamachari, Bhaskar
Zero-knowledge proofs (ZKPs) represent a revolutionary advance in computational integrity and privacy technology, enabling the secure and private exchange of information without revealing underlying private data. ZKPs have unique advantages in terms
Externí odkaz:
http://arxiv.org/abs/2408.00243
Conference
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Akademický článek
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Autor:
Lavin, Andrew
Since the breakthrough performance of AlexNet in 2012, convolutional neural networks (convnets) have grown into extremely powerful vision models. Deep learning researchers have used convnets to perform vision tasks with accuracy that was unachievable
Externí odkaz:
http://arxiv.org/abs/2404.03617
Group configurations play a pivotal role in shaping social skills and learning outcomes by fostering student interaction and collaboration. Yet, the factors influencing group formation, social cohesion, and group stability remain understudied. Here,
Externí odkaz:
http://arxiv.org/abs/2309.15212