Regularization of Extreme Learning Machines with information of spatial relations of the projected data. - Lourenço R. G. Araújo; Luiz C. B. Torres; Leonardo José Silvestre; Carla Caldeira Takahashi; Antônio P. Braga (CoDIT, 2019)

Neural Networks Regularization With Graph-Based Local Resampling. - Alex de Assis Santos dos Santos; Luiz C. B. Torres; Lourenço R. G. Araújo; Vítor M. Hanriot; Antônio de Pádua Braga (IEEE Access, 2021)

Online learning of neural networks using random projections and sliding window: A case study of a real industrial process. - Wagner J. Alvarenga; Felipe V. Campos; Vítor M. Hanriot; Eduardo B. Gonçalves; Alexsander C. A. A. Costa; Lourenço R. G. Araújo; Eduardo Magalhães; Antônio P. Braga (Eng. Appl. Artif. Intell., 2021)

Deep architecture for silica forecasting of a real industrial froth flotation process. - Alexsander C. A. A. Costa; Felipe V. Campos; Lourenço R. G. Araújo; Luiz C. B. Torres; Antônio de Pádua Braga (Eng. Appl. Artif. Intell., 2022)

Distance-based loss function for deep feature space learning of convolutional neural networks. - Eduardo S. Ribeiro; Lourenço R. G. Araújo; Gabriel T. L. Chaves; Antônio P. Braga (Comput. Vis. Image Underst., 2024)