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Manoela Kohler
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2020 – today
- 2024
- [j4]Vitor Bento, Manoela Kohler, Marco Aurélio Pacheco:
Classification of calcareous algae under noisy labels. Neural Comput. Appl. 36(6): 3197-3214 (2024) - 2023
- [c6]Vitor Sousa, Amanda Lucas Pereira, Manoela Kohler, Marco Aurélio Pacheco:
Learning by Small Loss Approach Multi-label to Deal with Noisy Labels. ICCSA (1) 2023: 385-403 - 2021
- [j3]Vitor Bento, Manoela Kohler, Pedro Achanccaray Diaz, Leonardo A. F. Mendoza, Marco Aurélio Pacheco:
Improving deep learning performance by using Explainable Artificial Intelligence (XAI) approaches. Discov. Artif. Intell. 1(1) (2021) - 2020
- [j2]Manoela Kohler, Marley M. B. R. Vellasco, Eugênio Silva, Karla Figueiredo:
SimProxy Decision Support System: A Neural Network Proxy Applied to Reservoir and Surface Integrated Optimization. IEEE Syst. J. 14(4): 5111-5120 (2020)
2010 – 2019
- 2019
- [j1]Manoela Kohler, Marley M. B. R. Vellasco, Ricardo Tanscheit:
PSO+: A new particle swarm optimization algorithm for constrained problems. Appl. Soft Comput. 85 (2019) - [c5]Leonardo Forero Mendoza, Manoela Kohler, Cristian E. Muñoz, Evelyn Conceição Santos Batista, Marco Aurélio Pacheco:
Analysis and Classification of Voice Pathologies using Glottal Signal Parameters with Recurrent Neural Networks and SVM. ICAART (2) 2019: 19-28 - 2018
- [c4]Manoela Kohler, Leonardo Sondermann, Leonardo Forero, Marco Aurélio Cavalcanti Pacheco:
Classifying and Grouping Narratives with Convolutional Neural Networks, PCA and t-SNE. HIS 2018: 22-30 - 2016
- [c3]Manoela Kohler, Leonardo Forero, Marley M. B. R. Vellasco, Ricardo Tanscheit, Marco Aurélio Cavalcanti Pacheco:
PSO+: A nonlinear constraints-handling particle swarm optimization. CEC 2016: 2518-2523 - [c2]Renato S. C. da Rocha, Leonardo Forero, Harold Dias de Mello, Manoela Kohler, Marley M. B. R. Vellasco:
Polarity classification on web-based reviews using Support Vector Machine. LA-CCI 2016: 1-6 - [c1]Alvaro Talavera, Leonardo Forero, Manoela Kohler, Marco Aurélio Pacheco:
Characterization of sustainability using fuzzy opinion systems. LA-CCI 2016: 1-6
Coauthor Index
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