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Paulo A. Salgado
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2020 – today
- 2024
- [j3]Paulo A. Salgado, T.-P. Azevedo-Perdicoúlis:
Multi-back-propagation Algorithm for Signal Neural Network Decomposition. Neural Process. Lett. 56(2): 100 (2024) - 2023
- [j2]P. Lopes dos Santos, T.-P. Azevedo-Perdicoúlis, Paulo A. Salgado:
Modeling and Identification of Li-ion Cells. IEEE Control. Syst. Lett. 7: 1015-1020 (2023) - 2021
- [j1]Paulo A. Salgado, T.-P. Azevedo-Perdicoúlis:
Revisiting the K-nn algorithm for obstetric image segmentation. Int. J. Hybrid Intell. Syst. 17(1-2): 1-13 (2021) - [i1]Neuza Clar, Paulo A. Salgado, Teresa Paula Azevedo Perdicoúlis:
Subtractive mountain clustering algorithm applied to a chatbot to assist elderly people in medication intake. CoRR abs/2110.00933 (2021) - 2020
- [c9]Paulo A. Salgado, Teresa Paula Azevedo Perdicoúlis:
Segmentation of Foetus Brain MRI Based on K-nn Algorithm, A Case Study. SoCPaR 2020: 466-475 - [c8]Paulo A. Salgado, Paulo Afonso:
Contour Method for Ultrasound Images. SoCPaR 2020: 489-495
2010 – 2019
- 2018
- [c7]Paulo A. Salgado, Getúlio Igrejas, Paulo Afonso:
Evolutionary Based on Selfish and Altruism Strategies - An Approach to Path Planning Problems. IEEE Conf. on Intelligent Systems 2018: 408-412 - [c6]Paulo A. Salgado, Getúlio Igrejas, Paulo Afonso:
Long-term Memory Structure by Hierarchized SOM. IEEE Conf. on Intelligent Systems 2018: 727-732 - [c5]Paulo A. Salgado, Paulo Afonso:
Evolutionary Genes Algorithm to Path Planning Problems. SoCPaR 2018: 217-225 - 2011
- [c4]Paulo A. Salgado, Getúlio Igrejas:
A PCA-Fuzzy Clustering Algorithm for Contours Analysis. Eurofuse 2011: 305-311
2000 – 2009
- 2007
- [c3]Paulo A. Salgado, Getúlio Igrejas, Fernando Gouveia:
Time Series Prediction by Perturbed Fuzzy Model. EUSFLAT Conf. (2) 2007: 243-249 - [c2]Paulo A. Salgado, Fernando Gouveia:
Derivative Information from Fuzzy Models. WILF 2007: 61-68 - 2006
- [c1]Paulo A. Salgado, Paulo Afonso:
Decomposition of a Greenhouse Fuzzy Model. ETFA 2006: 1095-1100
Coauthor Index
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last updated on 2024-06-10 20:31 CEST by the dblp team
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