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Daniel Leite
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j5]Helano Miguel B. F. Portela, Rodrigo M. S. Veras, Luis H. S. Vogado, Daniel Leite, Paulo E. Ambrósio, Anselmo Cardoso de Paiva, João Manuel R. S. Tavares:
A corneal ulcer segmentation approach using U-Net and stepwise fine-tuning. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(7) (2024) - [i1]Daniel Leite, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo:
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. CoRR abs/2402.17792 (2024) - 2023
- [j4]Plamen P. Angelov, Dimitar P. Filev, Nikola K. Kasabov, Daniel Leite, Maharadhika Pratama, Susanne Saminger-Platz, Erich-Peter Klement:
Obituary Edwin Lughofer (1972-2023). Evol. Syst. 14(5): 747-748 (2023) - [e2]Gabriella Casalino, Giovanna Castellano, Katarzyna Kaczmarek-Majer, Daniel Leite:
Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), Padova, Italy, July 18, 2022. CEUR Workshop Proceedings 3380, CEUR-WS.org 2023 [contents] - 2022
- [c5]Daniel Leite:
State-Space Evolving Granular Control of Unknown Dynamic Systems. OLUD@WCCI 2022 - [e1]Plamen Angelov, George A. Papadopoulos, Giovanna Castellano, José A. Iglesias, Gabriella Casalino, Edwin Lughofer, Daniel Leite:
IEEE International Conference on Evolving and Adaptive Intelligent System, EAIS 2022, Larnaca, Cyprus, May 25-26, 2022. IEEE 2022, ISBN 978-1-6654-3706-6 [contents] - 2021
- [c4]Helano Miguel B. F. Portela, Rodrigo de Melo Souza Veras, Luis Henrique Silva Vogado, Daniel Leite, Jefferson Alves de Sousa, Anselmo Cardoso de Paiva, João Manuel R. S. Tavares:
A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in Chain. CIARP 2021: 13-23 - 2020
- [j3]Pablo V. C. Lima, Rodrigo de Melo Souza Veras, Luis H. S. Vogado, Helano Miguel B. F. Portela, João Dallyson Sousa de Almeida, Kelson Rômulo Teixeira Aires, Daniel Leite:
A semiautomatic segmentation approach to corneal lesions. Comput. Electr. Eng. 84: 106625 (2020) - [j2]Daniel Leite, Karla Figueiredo, Marley M. B. R. Vellasco:
Prototype of Robotic Device for Mobility Assistance for the Elderly in Urban Environments. Sensors 20(11): 3056 (2020)
2010 – 2019
- 2019
- [j1]Maíla de Lima Claro, Rodrigo Veras, André M. Santana, Flávio H. D. Araújo, Romuere R. V. e Silva, João Almeida, Daniel Leite:
An hybrid feature space from texture information and transfer learning for glaucoma classification. J. Vis. Commun. Image Represent. 64 (2019) - 2018
- [c3]Elineide Santos, Luís Santos, Rodrigo Veras, Marcos Frazão, Daniel Leite:
A Semiautomatic Superpixel Based Approach to Cup-to-Disc Ratio Measurement. ISCC 2018: 621-626 - 2016
- [c2]Daniel Leite, Marley M. B. R. Vellasco, Karla Figueiredo:
Robotic device for mobility assistance to elderly people in urban environments. LA-CCI 2016: 1-6 - 2011
- [c1]Samuel S. Silva, Nuno Bettencourt, Daniel Leite, João Rocha, Mónica Carvalho, Joaquim Madeira, Beatriz Sousa Santos:
Myocardial Perfusion Analysis from Adenosine-Induced Stress MDCT. IbPRIA 2011: 717-725
Coauthor Index
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last updated on 2024-04-16 20:32 CEST by the dblp team
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