Zobrazeno 1 - 10
of 12 492
pro vyhledávání: '"P Olvera"'
Autor:
Patricia Roitman Genoud
Publikováno v:
Psicología, Educación & Sociedad, Vol 3, Iss 6 (2024)
Comentario de Agrietar la Uni-versidad. Reflexiones interculturales y decoloniales por/para la vida de Catherine Walsh.
Externí odkaz:
https://doaj.org/article/0d2f433dabf147cb859af9de49b0dbb9
Autor:
César Gabriel Peña Ramírez
Publikováno v:
Oficio, Revista de Historia e Interdisciplina, Iss 14, Pp 135-137 (2022)
Reseña a: Luis Olvera, La revolución social en el norte de México y las comunas anarquistas del Partido Liberal Mexicano 1911-1915.
Externí odkaz:
https://doaj.org/article/a675fb6e1cd642b6bb72295d1826a9de
Akademický článek
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Publikováno v:
América Latina en la Historia Económica, Iss 1 (2023)
Sin resumen.
Externí odkaz:
https://doaj.org/article/bc2639c35f9a4f3f84d4c52c0810f0fe
Large-scale pre-trained audio and image models demonstrate an unprecedented degree of generalization, making them suitable for a wide range of applications. Here, we tackle the specific task of sound-prompted segmentation, aiming to segment image reg
Externí odkaz:
http://arxiv.org/abs/2412.01488
Autor:
Tonneau, Manuel, Liu, Diyi, Malhotra, Niyati, Hale, Scott A., Fraiberger, Samuel P., Orozco-Olvera, Victor, Röttger, Paul
To tackle the global challenge of online hate speech, a large body of research has developed detection models to flag hate speech in the sea of online content. Yet, due to systematic biases in evaluation datasets, detection performance in real-world
Externí odkaz:
http://arxiv.org/abs/2411.15462
Short- and long-term relationships between the Yucatan Channel transport and the Loop Current System
Autor:
Moreles, Efraín, Martínez-López, Benjamín, Higuera-Parra, Susana, Olvera-Prado, Erick R., Zavala-Hidalgo, Jorge
This work uses twin 22-year free-running simulations of the Gulf of Mexico hydrodynamics performed with the HYCOM, one considering only ocean dynamics and the other incorporating atmospheric forcing, to study the behavior of the Yucatan Channel trans
Externí odkaz:
http://arxiv.org/abs/2411.02202
Multimodal large language models have fueled progress in image captioning. These models, fine-tuned on vast image datasets, exhibit a deep understanding of semantic concepts. In this work, we show that this ability can be re-purposed for audio captio
Externí odkaz:
http://arxiv.org/abs/2410.05997
Autor:
Luis Gabriel Mateo Mejía
Publikováno v:
Praxis Filosófica, Iss 55 (2022)
El ideario filosófico del filólogo alemán, parecería ser controvertido e incluso contradictorio. No obstante, la problemática que se presenta se desenvuelve bajo la metodología de la hermenéutica analógica, misma que ha brindado un panorama d
Externí odkaz:
https://doaj.org/article/69aa236228ef4d1398a1e8d28834b8d9
Audio-text models trained via contrastive learning offer a practical approach to perform audio classification through natural language prompts, such as "this is a sound of" followed by category names. In this work, we explore alternative prompt templ
Externí odkaz:
http://arxiv.org/abs/2409.13676