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Dahia, Gabriel
10  Ergebnisse:
Personensuche X
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1

Meta Learning for Few-Shot One-Class Classification:

Dahia, Gabriel ; Pamplona Segundo, Maurício
AI.  2 (2021)  2 - p. 195-208 , 2021
Link: https://doi.org/10.3390/..
 
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2

Continuous authentication using biometrics: An advanced rev..:

Dahia, Gabriel ; Jesus, Leone ; Pamplona Segundo, Maurício
WIREs Data Mining and Knowledge Discovery.  10 (2020)  4 - p. , 2020
Link: https://doi.org/10.1002/..
 
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3

Expression Removal in 3D Faces for Recognition Purposes:

, In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS),
Amparo Barbosa, Lucas ; Dahia, Gabriel ; Pamplona Segundo, Mauricio - p. 753-758 , 2019
Link: https://doi.org/10.1109/..
 
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4

The diameter of randomly twisted hypercubes:

Aragão, Lucas ; Collares, Maurício ; Dahia, Gabriel.
http://arxiv.org/abs/2306.01728.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Meta learning for few-shot one-class classification:

Dahia, Gabriel
DAHIA, Gabriel. Meta learning for few-shot one-class classification. 2022. 43 f. Dissertação (Mestrado em Ciência da Computação) - Instituto de Computação, Universidade Federal da Bahia, Salvador, Bahia, 2022..  , 2022
Link: https://repositorio.ufba..
 
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6

Meta Learning for Few-Shot One-class Classification:

Dahia, Gabriel ; Segundo, Maurício Pamplona
http://arxiv.org/abs/2009.05353.  , 2020
Link: http://arxiv.org/abs/200..
 
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7

Automatic Dataset Annotation to Learn CNN Pore Description ..:

Dahia, Gabriel ; Segundo, Maurício Pamplona
http://arxiv.org/abs/1809.10229.  , 2018
Link: http://arxiv.org/abs/180..
 
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8

Improving Fingerprint Pore Detection with a Small FCN:

Dahia, Gabriel ; Segundo, Maurício Pamplona
http://arxiv.org/abs/1811.06846.  , 2018
Link: http://arxiv.org/abs/181..
 
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9

Meta Learning for Few-Shot One-Class Classification:

Gabriel Dahia ; Maurício Pamplona Segundo
AI Systems: Theory and Applications.  , 2021
Link: https://doi.org/10.3390/..
 
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10

Meta Learning for Few-Shot One-Class Classification:

Gabriel Dahia ; Maurício Pamplona Segundo
https://www.mdpi.com/2673-2688/2/2/12.  , 2021
Link: https://doi.org/10.3390/..
 
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