Design of digital PID controller with gain planning based on CMAC. - Mário Eduardo Bordon; Ivan Nunes da Silva; André Nunes de Souza (IJCNN, 1999)

Design and analysis of neural networks for systems optimization. - Ivan Nunes da Silva; Mário Eduardo Bordon; André Nunes de Souza (IJCNN, 1999)

Evaluation and identification of lightning models by artificial neural networks. - Ivan Nunes da Silva; André Nunes de Souza; Mário Eduardo Bordon (IJCNN, 1999)

A Modified Hopfield Model for Solving the N-Queens Problem. - Ivan Nunes da Silva; André Nunes de Souza; Mário Eduardo Bordon (IJCNN (6), 2000)

Artificial Neural Networks Applied in Study of Atmospheric Parameters to High Voltage Substations Concerning Lightning. - André Nunes de Souza; Ivan Nunes da Silva; Mário Eduardo Bordon (IJCNN (6), 2000)

Design of a Fuzzy Controller with Simplified Architecture. - Mário Eduardo Bordon; Ivan Nunes da Silva; André Nunes de Souza (SBRN, 2000)

The application of neural networks to the analysis of dissolved gases in insulating oil used in transformers. - Ivan Nunes da Silva; Marcos M. Imamura; André Nunes de Souza (SMC, 2000)

Design of Simplified Neuro-Fuzzy Systems Based on CMAC Architectures. - Mário Eduardo Bordon; Edwin Avolio; Ivan Nunes da Silva; André Nunes de Souza (ISAS-SCI (1), 2001)

A Neural System to Robust Nonlinear Optimization Subject to Disjoint and Constrained Sets. - Ivan Nunes da Silva; André Nunes de Souza; Mário Eduardo Bordon; José Alfredo Covolan Ulson (ISAS-SCI (1), 2001)

A Novel Neural Model to Electrical Load Forecasting in Transformers. - André Nunes de Souza; Ivan Nunes da Silva; José Alfredo Covolan Ulson; Mário Eduardo Bordon (ISAS-SCI (1), 2001)

An Intelligent System to Real Time Rainfall Prediction using Radar Data. - José Alfredo Covolan Ulson; Maurício de A. Antônio; Ivan Nunes da Silva; André Nunes de Souza (ISAS-SCI (1), 2001)

A Novel Approach for Solving Constrained Nonlinear Optimization Problems Using Neurofuzzy Systems. - Ivan Nunes da Silva; André Nunes de Souza; Mário Eduardo Bordon (Int. J. Neural Syst., 2001)

Mapping lightning processes using fuzzy inference system. - André Nunes de Souza; Ivan Nunes da Silva; Maria Goretti Zago; Rogério Andrade Flauzino (FUZZ-IEEE, 2002)

Implementation of Two-Stage Hopfield Model and Its Application in Nonlinear Systems. - Ivan Nunes da Silva; José Alfredo Covolan Ulson; André Nunes de Souza (ICAISC, 2004)

Development of neurofuzzy architecture for solving the N-Queens problem. - Ivan Nunes da Silva; José Alfredo Covolan Ulson; André Nunes de Souza (Int. J. Gen. Syst., 2005)

What is the importance of selecting features for non-technical losses identification? - Caio C. O. Ramos; João Paulo Papa; André N. de Souza; Giovani Chiachia; Alexandre X. Falcão (ISCAS, 2011)

A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection. - Caio C. O. Ramos; André N. de Souza; Giovani Chiachia; Alexandre X. Falcão; João P. Papa (Comput. Electr. Eng., 2011)

Efficient Fault Location in Underground Distribution Systems through Optimum-Path Forest. - André N. de Souza; Pedro da Costa Jr.; Paulo S. da Silva; Caio C. O. Ramos; João P. Papa (Appl. Artif. Intell., 2012)

Optimizing Feature Selection through Binary Charged System Search. - Douglas Rodrigues; Luís A. M. Pereira; João P. Papa; Caio C. O. Ramos; André N. de Souza; Luciene P. Papa (CAIP (1), 2013)

Harmony search applied for support vector machines training optimization. - Luís A. M. Pereira; João Paulo Papa; André N. de Souza (EUROCON, 2013)

BCS: A Binary Cuckoo Search algorithm for feature selection. - Douglas Rodrigues; Luís A. M. Pereira; T. N. S. Almeida; João Paulo Papa; André N. de Souza; Caio C. O. Ramos; Xin-She Yang 001 (ISCAS, 2013)

Fast Optimum-Path Forest Classification on Graphics Processors. - Marcos V. T. Romero; Adriana S. Iwashita; Luciene P. Papa; André N. de Souza; João P. Papa (VISAPP (2), 2014)

A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest. - Douglas Rodrigues; Luís A. M. Pereira; Rodrigo Y. M. Nakamura; Kelton A. P. Costa; Xin-She Yang 001; André N. de Souza; João Paulo Papa (Expert Syst. Appl., 2014)

A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier. - Adriana S. Iwashita; João Paulo Papa; André N. de Souza; Alexandre X. Falcão; Roberto A. Lotufo; V. M. Oliveira; Victor Hugo C. de Albuquerque; João Manuel R. S. Tavares (Pattern Recognit. Lett., 2014)

Black Hole Algorithm for non-technical losses characterization. - Douglas Rodrigues; Caio Cesar Oba Ramos; André Nunes de Souza; João Paulo Papa (LASCAS, 2015)

Binary Flower Pollination Algorithm and Its Application to Feature Selection. - Douglas Rodrigues; Xin-She Yang 001; André Nunes de Souza; João Paulo Papa (Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015)

Social-Spider Optimization-based Support Vector Machines applied for energy theft detection. - Danillo Roberto Pereira; Mario A. Pazoti; Luís A. M. Pereira; Douglas Rodrigues; Caio C. O. Ramos; André N. de Souza; João P. Papa (Comput. Electr. Eng., 2016)

A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems. - Silas Evandro Nachif Fernandes; Danillo Roberto Pereira; Caio C. O. Ramos; André N. de Souza; João Paulo Papa (CoRR, 2016)

FEMaR: A finite element machine for regression problems. - Danillo Roberto Pereira; João P. Papa; André N. de Souza (IJCNN, 2017)

Pruning Optimum-Path Forest Classifiers Using Multi-Objective Optimization. - Douglas Rodrigues; André Nunes de Souza; João Paulo Papa (SIBGRAPI, 2017)

An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification. - Danillo Roberto Pereira; Rodrigo Jose Pisani; André N. de Souza; João P. Papa (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning. - Luis Claudio Sugi Afonso; Daniel Carlos Guimarães Pedronette; André N. de Souza; João Paulo Papa (ICPR, 2018)

Feature selection through binary brain storm optimization. - João P. Papa; Gustavo H. Rosa; André N. de Souza; Luis Claudio Sugi Afonso (Comput. Electr. Eng., 2018)

On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization. - Caio C. O. Ramos; Douglas Rodrigues; André N. de Souza; João Paulo Papa (IEEE Trans. Smart Grid, 2018)

A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection. - Silas Evandro Nachif Fernandes; Danillo Roberto Pereira; Caio C. O. Ramos; André N. de Souza; Danilo S. Gastaldello; João P. Papa (IEEE Trans. Smart Grid, 2019)

FEMa: a finite element machine for fast learning. - Danilo R. Pereira; Marco Antonio Piteri; André N. de Souza; João Paulo Papa; Hojjat Adeli (Neural Comput. Appl., 2020)

An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. - Adriana S. Iwashita; Douglas Rodrigues; Danilo S. Gastaldello; André Nunes de Souza; João Paulo Papa (Comput. Electr. Eng., 2021)

Handling imbalanced datasets through Optimum-Path Forest. - Leandro Aparecido Passos; Danilo S. Jodas; Luiz Carlos Felix Ribeiro; Marco Akio; André Nunes de Souza; João Paulo Papa (Knowl. Based Syst., 2022)

Opposition-Based Jellyfish Search for Feature Selection. - Douglas Rodrigues; Kelton Augusto Pontara da Costa; Danilo S. Gastaldello; André Nunes de Souza; João Paulo Papa (IWSSIP, 2023)

A Multi-Class Probabilistic Optimum-Path Forest. - Silas Evandro Nachif Fernandes; Leandro A. Passos; Danilo S. Jodas; Marco Akio; André N. de Souza; João Paulo Papa (VISIGRAPP (5: VISAPP), 2023)

Denoising Autoencoder for Partial Discharge Identification in Instrument Transformers. - Matheus Goes Crivelaro; Douglas Rodrigues; André Gifalli; João Paulo Papa; Carlos Guilherme Gonzales; André Nunes de Souza; Gustavo Vinícius Da Silva; Erasmo Silveira Neto (IWSSIP, 2024)