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of 1 403
pro vyhledávání: '"Ramírez Miguel"'
Task-oriented dialogue systems (TODS) have become crucial for users to interact with machines and computers using natural language. One of its key components is the dialogue manager, which guides the conversation towards a good goal for the user by p
Externí odkaz:
http://arxiv.org/abs/2310.01339
Autonomous navigation is challenging for mobile robots, especially in an unknown environment. Commonly, the robot requires multiple sensors to map the environment, locate itself, and make a plan to reach the target. However, reinforcement learning me
Externí odkaz:
http://arxiv.org/abs/2302.09120
Autor:
Zuqui-Ramírez, Miguel A.1 (AUTHOR), Belalcazar-López, Victor M.1 (AUTHOR), Urenda-Quezada, Adelfia2 (AUTHOR), González-Rebatu y González, Alejandro3 (AUTHOR), Sander-Padilla, José G.4 (AUTHOR), Lugo-Sánchez, Laura A.4 (AUTHOR), Rodríguez-Vázquez, Ileana C.4 (AUTHOR), Rios-Brito, Kevin F.4 (AUTHOR), Arguedas-Núñez, María M.4 (AUTHOR), Canales-Vázquez, Emmanuel4 (AUTHOR), González-Canudas, Jorge4,5 (AUTHOR) jogonzalez@silanes.com.mx
Publikováno v:
Pain & Therapy. Dec2024, Vol. 13 Issue 6, p1511-1528. 18p.
Autor:
Ramirez, Miguel A., Yoon, Sangyoung, Damiani, Ernesto, Hamadi, Hussam Al, Ardagna, Claudio Agostino, Bena, Nicola, Byon, Young-Ji, Kim, Tae-Yeon, Cho, Chung-Suk, Yeun, Chan Yeob
Most recent studies have shown several vulnerabilities to attacks with the potential to jeopardize the integrity of the model, opening in a few recent years a new window of opportunity in terms of cyber-security. The main interest of this paper is di
Externí odkaz:
http://arxiv.org/abs/2210.11592
Autor:
Fonseca, Kalina, Acero Triana, Juan S., Ramírez, Miguel, Martínez, William, Ilbay, Mercy, Espitia-Sarmiento, Edgar, Breuer, Lutz
Publikováno v:
In Journal of Environmental Management December 2024 372
Autor:
Ramirez, Miguel Angel, Lizarazo, Ivan
Publikováno v:
In Environmental Development March 2025 53
Publikováno v:
In Journal of Shoulder and Elbow Surgery January 2025 34(1):375-383
Autor:
Ramirez, Miguel A., Kim, Song-Kyoo, Hamadi, Hussam Al, Damiani, Ernesto, Byon, Young-Ji, Kim, Tae-Yeon, Cho, Chung-Suk, Yeun, Chan Yeob
Machine learning models have been widely adopted in several fields. However, most recent studies have shown several vulnerabilities from attacks with a potential to jeopardize the integrity of the model, presenting a new window of research opportunit
Externí odkaz:
http://arxiv.org/abs/2202.10276
Publikováno v:
Investigación Económica, 2023 Apr 01. 82(324), 150-174.
Externí odkaz:
https://www.jstor.org/stable/48720208