Repositorio de Datos de la UAH
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Imagen TIFF - 3,4 MB - MD5: edf19b3ef119fae39538ee318eb8bbf6
Imagen TIFF - 8,4 MB - MD5: 72d0408d63413e4e6bf406292638b009
Imagen TIFF - 6,3 MB - MD5: 500bf0edf6d32212560c2fe32a3e1b91
Texto plano - 10,1 KB - MD5: a5f3038d2f16d32f07938744be6a7192
Jan 16, 2024
Sánchez Coterón, Lara; García Triviño, Francisco Antonio, 2024, "Ponencia Contingencias Artísticos-lúdicas multiespecie en espacios públicos", https://doi.org/10.21950/Z7IG6Q, e-cienciaDatos, V1
Video de la ponencia Contingencias Artísticos-lúcias multiespecie en espacios públicos. El proyecto de investigación en el que se encuadra este artículo Ar-quifaur: Arquitectura y fauna urbana. Integración, conservación y fomento de la biodiversidad animal en los espacios monumentales históricos (PIUAH22/IA-020) trabaja y da muestra de ello a travé...
Texto plano - 5,0 KB - MD5: 451286c1703ffebfcb932c402117033d
Jan 12, 2024
Pablo J. Alonso-González, 2024, "Machine and deep learning applications in Insurance and Finance", https://doi.org/10.21950/ZFHL8J, e-cienciaDatos, V1
Use of various algorithms for building stacked or multi-transformer network models. These models are used to estimate the volatility of the S&P500 index and the reserve level of an insurer. (Project: Use of machine and deep learning techniques to solve actuarial and financial problems)
Hoja de cálculo MS Excel - 2,8 MB - MD5: 839c0aab9d18bf6c7b2b92e9d7cedbe8
Texto plano - 4,5 KB - MD5: bacea5b1d2347143e222ca3abb46a9f2
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