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Eduardo Ribeiro
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2020 – today
- 2024
- [j5]Eduardo Ribeiro, André Restivo
, Hugo Sereno Ferreira
, João Pedro Dias
:
WASMICO: Micro-containers in microcontrollers with WebAssembly. J. Syst. Softw. 214: 112081 (2024) - 2023
- [j4]Vicente Nejar de Almeida, Eduardo Ribeiro, Nassim Bouarour, João Luiz Dihl Comba, Sihem Amer-Yahia:
SHEVA: A Visual Analytics System for Statistical Hypothesis Exploration. Proc. VLDB Endow. 16(12): 4102-4105 (2023) - [i3]Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez, Reuben A. Farrugia:
Exploring Deep Learning Image Super-Resolution for Iris Recognition. CoRR abs/2311.01241 (2023) - 2022
- [i2]Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez:
Super-Resolution and Image Re-projection for Iris Recognition. CoRR abs/2210.11129 (2022) - [i1]Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez:
Iris super-resolution using CNNs: is photo-realism important to iris recognition? CoRR abs/2210.13125 (2022)
2010 – 2019
- 2019
- [j3]Eduardo Ribeiro
, Andreas Uhl, Fernando Alonso-Fernandez
:
Iris super-resolution using CNNs: is photo-realism important to iris recognition? IET Biom. 8(1): 69-78 (2019) - [c10]Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez
:
Super-Resolution and Image Re-projection for Iris Recognition. ISBA 2019: 1-7 - 2018
- [c9]Eduardo Ribeiro, Marcos Aurélio Batista, Eraldo Ribeiro, Célia A. Z. Barcelos:
Using Neural Networks to Include Semantic Information into Classification. FLAIRS 2018: 92-97 - 2017
- [c8]Eduardo Ribeiro, Andreas Uhl:
Exploring Texture Transfer Learning via Convolutional Neural Networks for Iris Super Resolution. BIOSIG 2017: 195-202 - [c7]Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez
, Reuben A. Farrugia
:
Exploring deep learning image super-resolution for iris recognition. EUSIPCO 2017: 2176-2180 - [c6]Eduardo Ribeiro, Michael Häfner, Georg Wimmer, Toru Tamaki
, Jens J. W. Tischendorf, Shigeto Yoshida, Shinji Tanaka, Andreas Uhl:
Exploring texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks. ISBI 2017: 1044-1048 - 2016
- [j2]Eduardo Ribeiro
, Andreas Uhl, Georg Wimmer, Michael Häfner:
Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification. Comput. Math. Methods Medicine 2016: 6584725:1-6584725:16 (2016) - [c5]Eduardo Ribeiro, Andreas Uhl, Michael Häfner:
Colonic Polyp Classification with Convolutional Neural Networks. CBMS 2016: 253-258 - [c4]Eduardo Ribeiro, Andreas Uhl, Georg Wimmer, Michael Häfner:
Transfer Learning for Colonic Polyp Classification Using Off-the-Shelf CNN Features. CARE@MICCAI 2016: 1-13 - 2014
- [j1]Artemisa Rocha Dores, Fernando Barbosa, Luís Monteiro, Mafalda Reis, Carlos M. Coelho, Eduardo Ribeiro, Miguel Leitão, Irene Palmares Carvalho, Liliana de Sousa, Alexandre Castro-Caldas:
Amygdala Activation in Response to 2D and 3D Emotion-Inducing Stimuli. PsychNology J. 12(1-2): 29-43 (2014) - 2011
- [c3]Eduardo Ribeiro, Rui Jorge Lopes
:
Assessing the integration of ontology tools in content network architectures. EUROCON 2011: 1-4
2000 – 2009
- 2008
- [c2]Andre Vilas Boas, Eduardo Ribeiro, Alfredo Olmos, Ricardo Maltione:
Self-adaptable slew rate control output buffer for embedded microcontroller port applications. SBCCI 2008: 205-209 - 2007
- [c1]Eduardo Ribeiro, Rui Jorge Lopes
:
An architecture for the provision of content networks based on IMS, metadata, presence and P2P technologies. MNCNA 2007: 6
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last updated on 2024-08-05 21:19 CEST by the dblp team
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