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pro vyhledávání: '"A. Macías, Francisco"'
Autor:
Castro-Macías, Francisco M., Morales-Álvarez, Pablo, Wu, Yunan, Molina, Rafael, Katsaggelos, Aggelos K.
Multiple Instance Learning (MIL) is widely used in medical imaging classification to reduce the labeling effort. While only bag labels are available for training, one typically seeks predictions at both bag and instance levels (classification and loc
Externí odkaz:
http://arxiv.org/abs/2410.03276
Autor:
Wu, Yunan, Castro-Macías, Francisco M., Morales-Álvarez, Pablo, Molina, Rafael, Katsaggelos, Aggelos K.
Multiple Instance Learning (MIL) has been widely applied to medical imaging diagnosis, where bag labels are known and instance labels inside bags are unknown. Traditional MIL assumes that instances in each bag are independent samples from a given dis
Externí odkaz:
http://arxiv.org/abs/2307.09457
Autor:
Rosa, Daniela, Brás, Teresa, Rial, Carlos, Varela, Rosa M., Maçãs, Benvindo, Macías, Francisco A., Duarte, Maria F.
Publikováno v:
In Industrial Crops & Products 15 October 2024 218
Autor:
Castro-Macías, Francisco M., Morales-Álvarez, Pablo, Wu, Yunan, Molina, Rafael, Katsaggelos, Aggelos K.
Publikováno v:
In Artificial Intelligence June 2024 331
Autor:
León, Rafael, Macías, Francisco, R. Cánovas, Carlos, Millán-Becerro, Ricardo, Romero-Matos, Jonatan, Nieto, José Miguel
Publikováno v:
In Geochimica et Cosmochimica Acta 1 May 2024 372:101-110
Autor:
Yang, Shuowen, Pérez-Bueno, Fernando, Castro-Macías, Francisco M., Molina, Rafael, Katsaggelos, Aggelos K.
Publikováno v:
In Digital Signal Processing February 2024 145
Akademický článek
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Publikováno v:
In Aggression and Violent Behavior November-December 2023 73
Autor:
Millán-Becerro, Ricardo, Cánovas, Carlos R., Macías, Francisco, Roetting, Tobias S., Siddorn, Louise, Stanley, Peter, Nieto, José Miguel
Publikováno v:
In Journal of Cleaner Production 1 November 2023 425
Autor:
Basallote, M. Dolores, Zarco, Virginia, Macías, Francisco, Cánovas, Carlos R., Hidalgo, Pablo J.
Publikováno v:
In Journal of Environmental Management 1 November 2023 345