E-LIB Suche - Ergebnisse für: Canário, João Paulo

1

Noise-Tolerant Self-Embedded LSTM for Seismic Event Classif..:

, In: 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP),

Canario, Joao Paulo ; Rios, Ricardo A. - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

2

Fog-DeepStream: A new approach combining LSTM and Concept D..:

Alencar, Brenno M. ; Canário, João Paulo ; Lobão Neto, Ruivaldo...
Internet of Things. 22 (2023) - p. 100731 , 2023

Link: https://doi.org/10.1016/..

3

Explaining noise effects in CNN: a practical case study on ..:

, In: 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI),

Canario, Joao Paulo ; Ribeiro, Otavio ; Rios, Ricardo - p. 49-54 , 2022

Link: https://doi.org/10.1109/..

4

A face detection ensemble to monitor the adoption of face m..:

Canário, João Paulo ; Ferreira, Marcos Vinícius ; Freire, Junot..
Multimedia Tools and Applications. 81 (2022) 23 - p. 33689-33714 , 2022

Link: https://doi.org/10.1007/..

5

Ethics of AI: Do the Face Detection Models Act with Prejudi..:

, In: Intelligent Systems; Lecture Notes in Computer Science,

Ferreira, Marcos Vinícius ; Almeida, Ariel ; Canario, João Paulo... - p. 89-103 , 2021

Link: https://doi.org/10.1007/..

6

In-depth comparison of deep artificial neural network archi..:

Canário, João Paulo ; Mello, Rodrigo ; Curilem, Millaray..
Journal of Volcanology and Geothermal Research. 401 (2020) - p. 106881 , 2020

Link: https://doi.org/10.1016/..

7

Llaima volcano dataset: In-depth comparison of deep artific..:

Canário, João Paulo ; de Mello, Rodrigo Fernandes ; Curilem, Millaray..
Data in Brief. 30 (2020) - p. 105627 , 2020

Link: https://doi.org/10.1016/..

8

Llaima volcano dataset: In-depth comparison of deep artific..:

Canário, João Paulo ; de Mello, Rodrigo Fernandes ; Curilem, Millaray..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206203/. , 2020

Link: http://www.ncbi.nlm.nih...

9

On deep learning features for noisy time series classificat..:

Canário, João Paulo Pereira de Sá
CANÁRIO, João Paulo Pereira de Sá. On deep learning features for noisy time series classification. 2022. 85 f. Tese (Doutorado em Ciências da Computação) Instituto de Computação, Universidade Federal da Bahia, Salvador, BA, 2022.. , 2022

Link: https://repositorio.ufba..

10

Uma abordagem deep learning para reconhecimento de expressõ..:

Canário, João Paulo Pereira de Sá
http://repositorio.ufba.br/ri/handle/ri/19384. , 2016

Link: http://repositorio.ufba...

11

Polar marine biology science in Portugal and Spain: Recent ..:

Xavier, José C. ; Barbosa, Andrés ; Agustí, Susana...
Journal of Sea Research. 83 (2013) - p. 9-29 , 2013

Link: https://doi.org/10.1016/..

12

Llaima volcano dataset: In-depth comparison of deep artific..:

João Paulo Canário ; Rodrigo Fernandes de Mello ; Millaray Curilem..
http://www.sciencedirect.com/science/article/pii/S2352340920305217. , 2020

Link: https://doi.org/10.1016/..

13

Weather and climate versus mortality in Lisbon (Portugal) s..:

Alcoforado, Maria João ; Marques, David ; Garcia, Ricardo A.C....
Applied Geography. 57 (2015) - p. 133-141 , 2015

Link: https://doi.org/10.1016/..

14

Interactive short-term effects of equivalent temperature an..:

Burkart, Katrin ; Canário, Paulo ; Breitner, Susanne...
Environmental Pollution. 183 (2013) - p. 54-63 , 2013

Link: https://doi.org/10.1016/..

15

Polar marine biology science in Portugal and Spain: Recent ..:

Xavier, José C ; Barbosa, Andrés ; Agustí, Susana...
http://www.sciencedirect.com/science/article/pii/S1385110113001147#. , 2013

Link: http://hdl.handle.net/10..