E-LIB Suche - Ergebnisse für: Saporetti, Camila M.

1

An interdependent evolutionary machine learning model appli..:

Basílio, Samuel da Costa Alves ; Saporetti, Camila M. ; Goliatt, Leonardo
Neural Computing and Applications. 35 (2023) 16 - p. 12099-12120 , 2023

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

2

Data-driven cymbal bronze alloy identification via evolutio..:

Boratto, Tales H. A. ; Saporetti, Camila M. ; Basilio, Samuel C. A...
Journal of Intelligent Manufacturing. 35 (2022) 1 - p. 257-273 , 2022

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

3

Approaches for the short-term prediction of natural daily s..:

Martinho, Alfeu D. ; Saporetti, Camila M. ; Goliatt, Leonardo
Hydrological Sciences Journal. 68 (2022) 1 - p. 16-33 , 2022

Link: https://doi.org/10.1080/..

4

Modeling Global Solar Radiation Using Machine Learning with..:

, In: Mobile Computing and Sustainable Informatics; Lecture Notes on Data Engineering and Communications Technologies,

Basílio, Samuel C. A. ; Silva, Rodrigo O. ; Saporetti, Camila M.. - p. 155-168 , 2022

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

5

Hybrid Unsupervised Extreme Learning Machine Applied to Fac..:

, In: Advances in Intelligent Systems and Computing; Proceedings of Research and Applications in Artificial Intelligence,

Saporetti, Camila M. ; Rosa, Iago G. L. ; Carvalho, Ruan M... - p. 319-326 , 2021

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

6

Uso de técnicas de aprendizado de máquina para predição do ..:

Da Silva Macedo, Bruno ; Saporetti, Camila Martins
Revista Brasileira de Computação Aplicada. 16 (2024) 1 - p. 26-37 , 2024

Link: https://doi.org/10.5335/..

7

Performance of evolutionary optimized machine learning for ..:

Goliatt, Leonardo ; Saporetti, C.M. ; Oliveira, L.C..
Petroleum. 10 (2024) 1 - p. 150-164 , 2024

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

8

Analysis of the Impact of the Pandemic on SocialInequalitie..:

Macedo, Bruno da Silva ; Saporetti, Camila Martins
Semina: Ciências Exatas e Tecnológicas. 44 (2023) - p. e48234 , 2023

Link: https://doi.org/10.5433/..

9

Super learner approach to predict total organic carbon usin..:

Goliatt, L. ; Saporetti, C.M. ; Pereira, E.
Fuel. 353 (2023) - p. 128682 , 2023

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

10

An approach for total organic carbon prediction using convo..:

Silva, Rodrigo Oliveira ; Saporetti, Camila Martins ; Yaseen, Zaher Mundher..
Neural Computing and Applications. 35 (2023) 28 - p. 20803-20817 , 2023

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

11

Global horizontal irradiance modeling from environmental in..:

Basílio, Samuel da Costa Alves ; Saporetti, Camila Martins ; Yaseen, Zaher Mundher.
Environmental Development. 44 (2022) - p. 100766 , 2022

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

12

Hybrid machine learning models for estimating total organic..:

Saporetti, C.M. ; Fonseca, D.L. ; Oliveira, L.C...
Marine and Petroleum Geology. 143 (2022) - p. 105783 , 2022

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

13

Machine learning with model selection to predict TOC from m..:

Saporetti, C. M. ; Fonseca, D. L. ; Oliveira, L. C...
International Journal of Environmental Science and Technology. 20 (2022) 2 - p. 1585-1596 , 2022

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

14

Neural network boosted with differential evolution for lith..:

Saporetti, Camila Martins ; Goliatt, Leonardo ; Pereira, Egberto
Earth Science Informatics. 14 (2020) 1 - p. 133-140 , 2020

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

15

Extreme Learning Machine combined with a Differential Evolu..:

Saporetti, Camila Martins ; Duarte, Grasiele Regina ; Fonseca, Tales Lima..
Revista de Informática Teórica e Aplicada. 25 (2018) 4 - p. 43 , 2018

Link: https://doi.org/10.22456..