Manoela Kohler

15 papers B 1C 1Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2024 — conf
Canopy Height Estimation in Brazilian Amazon using Multisource Remote Sensing Datasets.
LA-CCI
Paola Edith Ayma Quirita, Abdigal Gabriel Camargo Barra, Laura Milena Parra Navarro, Amanda Lucas Pereira, Jose David Bermudez Castro, Manoela Kohler, Marco Aurélio Pacheco
2024 J jnl
Classification of calcareous algae under noisy labels.
Neural Comput. Appl.
Vitor Bento, Manoela Kohler, Marco Aurélio Pacheco
2024 — conf
Lithology Identification in Carbonate Thin Section Images of the Brazilian Pre-Salt Reservoirs.
LA-CCI
Abdigal Camargo, Geilson Araujo, Alexandre Sanchetta, Manoela Kohler, Mauro Becker, Marco Aurélio Pacheco, Thais Fernandes, Bernardo Coutinho
2024 J jnl
Multi-label noisy samples in underwater inspection from the oil and gas industry.
Neural Comput. Appl.
Vitor Sousa, Amanda Pereira, Manoela Kohler, Marco Pacheco
2024 — conf
Remaining Useful Life Prediction of Turbofan Engines with Fuzzy Systems.
LA-CCI
Marcelo Aguiar, Marley M. B. R. Vellasco, Ricardo Tanscheit, Manoela Kohler, Marco Aurélio Pacheco
2024 — conf
Semi and Self-supervised Learning for Multi-label Image Classification: An Underwater Inspection Imagery Application.
LA-CCI
Amanda Lucas Pereira, Manoela Kohler, Jose David Bermudez Castro, Marco Aurélio Cavalcanti Pacheco
2023 — conf
Learning by Small Loss Approach Multi-label to Deal with Noisy Labels.
ICCSA (1)
Vitor Sousa, Amanda Lucas Pereira, Manoela Kohler, Marco Aurélio Pacheco
2021 J jnl
Improving deep learning performance by using Explainable Artificial Intelligence (XAI) approaches.
Discov. Artif. Intell.
Vitor Bento, Manoela Kohler, Pedro Achanccaray Diaz, Leonardo A. F. Mendoza, Marco Aurélio Pacheco
2020 J jnl
SimProxy Decision Support System: A Neural Network Proxy Applied to Reservoir and Surface Integrated Optimization.
IEEE Syst. J.
Manoela Kohler, Marley M. B. R. Vellasco, Eugênio Silva, Karla Figueiredo
2019 — conf
Analysis and Classification of Voice Pathologies using Glottal Signal Parameters with Recurrent Neural Networks and SVM.
ICAART (2)
Leonardo Forero Mendoza, Manoela Kohler, Cristian E. Muñoz, Evelyn Conceição Santos Batista, Marco Aurélio Pacheco
2019 J jnl
PSO+: A new particle swarm optimization algorithm for constrained problems.
Appl. Soft Comput.
Manoela Kohler, Marley M. B. R. Vellasco, Ricardo Tanscheit
2018 C conf
Classifying and Grouping Narratives with Convolutional Neural Networks, PCA and t-SNE.
HIS
Manoela Kohler, Leonardo Sondermann, Leonardo Forero, Marco Aurélio Cavalcanti Pacheco
2016 — conf
Characterization of sustainability using fuzzy opinion systems.
LA-CCI
Alvaro Talavera, Leonardo Forero, Manoela Kohler, Marco Aurélio Pacheco
2016 B conf
PSO+: A nonlinear constraints-handling particle swarm optimization.
CEC
Manoela Kohler, Leonardo Forero, Marley M. B. R. Vellasco, Ricardo Tanscheit, Marco Aurélio Cavalcanti Pacheco
2016 — conf
Polarity classification on web-based reviews using Support Vector Machine.
LA-CCI
Renato S. C. da Rocha, Leonardo Forero, Harold Dias de Mello, Manoela Kohler, Marley M. B. R. Vellasco