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ORCIDAndré N. de Souza
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2020 – today
- 2024
[c26]Matheus Goes Crivelaro, Douglas Rodrigues, André Gifalli, João Paulo Papa, Carlos Guilherme Gonzales, André Nunes de Souza, Gustavo Vinícius Da Silva, Erasmo Silveira Neto:
Denoising Autoencoder for Partial Discharge Identification in Instrument Transformers. IWSSIP 2024: 1-7- 2023
- [c25]Douglas Rodrigues, Kelton Augusto Pontara da Costa, Danilo S. Gastaldello, André Nunes de Souza, João Paulo Papa:
Opposition-Based Jellyfish Search for Feature Selection. IWSSIP 2023: 1-5 - [c24]Silas Evandro Nachif Fernandes, Leandro A. Passos
, Danilo S. Jodas, Marco Akio, André N. de Souza, João Paulo Papa:
A Multi-Class Probabilistic Optimum-Path Forest. VISIGRAPP (5: VISAPP) 2023: 361-368 - 2022
- [j14]Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa:
Handling imbalanced datasets through Optimum-Path Forest. Knowl. Based Syst. 242: 108445 (2022) - [i2]Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa:
Handling Imbalanced Datasets Through Optimum-Path Forest. CoRR abs/2202.08934 (2022) - 2021
- [j13]Adriana S. Iwashita, Douglas Rodrigues, Danilo S. Gastaldello, André Nunes de Souza, João Paulo Papa:
An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. Comput. Electr. Eng. 95: 107389 (2021) - 2020
- [j12]Danilo R. Pereira, Marco Antonio Piteri, André N. de Souza, João Paulo Papa, Hojjat Adeli:
FEMa: a finite element machine for fast learning. Neural Comput. Appl. 32(10): 6393-6404 (2020)
2010 – 2019
- 2019
- [j11]Silas Evandro Nachif Fernandes, Danillo Roberto Pereira, Caio C. O. Ramos, André N. de Souza, Danilo S. Gastaldello, João P. Papa:
A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection. IEEE Trans. Smart Grid 10(3): 3226-3235 (2019) - 2018
- [j10]João P. Papa, Gustavo H. Rosa, André N. de Souza, Luis Claudio Sugi Afonso:
Feature selection through binary brain storm optimization. Comput. Electr. Eng. 72: 468-481 (2018) - [j9]Caio C. O. Ramos, Douglas Rodrigues, André N. de Souza, João Paulo Papa:
On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization. IEEE Trans. Smart Grid 9(2): 676-683 (2018) - [c23]Luis Claudio Sugi Afonso, Daniel Carlos Guimarães Pedronette, André N. de Souza, João Paulo Papa:
Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning. ICPR 2018: 560-565 - 2017
- [j8]Danillo Roberto Pereira, Rodrigo Jose Pisani, André N. de Souza, João P. Papa:
An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1525-1541 (2017) - [c22]Danillo Roberto Pereira, João P. Papa, André N. de Souza:
FEMaR: A finite element machine for regression problems. IJCNN 2017: 2751-2757 - [c21]Douglas Rodrigues, André Nunes de Souza, João Paulo Papa:
Pruning Optimum-Path Forest Classifiers Using Multi-Objective Optimization. SIBGRAPI 2017: 127-133 - 2016
- [j7]Danillo Roberto Pereira, Mario A. Pazoti, Luís A. M. Pereira, Douglas Rodrigues, Caio C. O. Ramos, André N. de Souza, João P. Papa:
Social-Spider Optimization-based Support Vector Machines applied for energy theft detection. Comput. Electr. Eng. 49: 25-38 (2016) - [i1]Silas Evandro Nachif Fernandes, Danillo Roberto Pereira, Caio C. O. Ramos, André N. de Souza, João Paulo Papa:
A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems. CoRR abs/1609.00878 (2016) - 2015
- [c20]Douglas Rodrigues, Caio Cesar Oba Ramos, André Nunes de Souza, João Paulo Papa:
Black Hole Algorithm for non-technical losses characterization. LASCAS 2015: 1-4 - [p1]Douglas Rodrigues, Xin-She Yang, André Nunes de Souza, João Paulo Papa:
Binary Flower Pollination Algorithm and Its Application to Feature Selection. Recent Advances in Swarm Intelligence and Evolutionary Computation 2015: 85-100 - 2014
- [j6]Douglas Rodrigues, Luís A. M. Pereira, Rodrigo Y. M. Nakamura, Kelton A. P. Costa, Xin-She Yang, André N. de Souza, João Paulo Papa:
A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest. Expert Syst. Appl. 41(5): 2250-2258 (2014) - [j5]Adriana S. Iwashita, João Paulo Papa, André N. de Souza, Alexandre X. Falcão, Roberto de Alencar Lotufo, V. M. Oliveira, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares:
A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier. Pattern Recognit. Lett. 40: 121-127 (2014) - [c19]Marcos V. T. Romero, Adriana S. Iwashita, Luciene P. Papa, André N. de Souza, João P. Papa:
Fast Optimum-Path Forest Classification on Graphics Processors. VISAPP (2) 2014: 627-631 - 2013
- [c18]Douglas Rodrigues, Luís A. M. Pereira, João P. Papa, Caio C. O. Ramos, André N. de Souza, Luciene P. Papa:
Optimizing Feature Selection through Binary Charged System Search. CAIP (1) 2013: 377-384 - [c17]Luís A. M. Pereira, João Paulo Papa, André N. de Souza:
Harmony search applied for support vector machines training optimization. EUROCON 2013: 998-1002 - [c16]Douglas Rodrigues, Luís A. M. Pereira, T. N. S. Almeida, João Paulo Papa, André N. de Souza, Caio C. O. Ramos, Xin-She Yang:
BCS: A Binary Cuckoo Search algorithm for feature selection. ISCAS 2013: 465-468 - 2012
- [j4]André N. de Souza, Pedro da Costa Jr., Paulo S. da Silva, Caio C. O. Ramos, João P. Papa:
Efficient Fault Location in Underground Distribution Systems through Optimum-Path Forest. Appl. Artif. Intell. 26(5): 503-515 (2012) - 2011
- [j3]Caio C. O. Ramos, André N. de Souza, Giovani Chiachia, Alexandre X. Falcão, João P. Papa:
A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection. Comput. Electr. Eng. 37(6): 886-894 (2011) - [c15]Caio C. O. Ramos, João Paulo Papa, André N. de Souza, Giovani Chiachia, Alexandre X. Falcão:
What is the importance of selecting features for non-technical losses identification? ISCAS 2011: 1045-1048
2000 – 2009
- 2005
- [j2]Ivan Nunes da Silva, José Alfredo Covolan Ulson, André Nunes de Souza:
Development of neurofuzzy architecture for solving the N-Queens problem. Int. J. Gen. Syst. 34(6): 717-734 (2005) - 2004
- [c14]Ivan Nunes da Silva, José Alfredo Covolan Ulson, André Nunes de Souza:
Implementation of Two-Stage Hopfield Model and Its Application in Nonlinear Systems. ICAISC 2004: 954-959 - 2002
- [c13]André Nunes de Souza, Ivan Nunes da Silva, Maria Goretti Zago, Rogério Andrade Flauzino:
Mapping lightning processes using fuzzy inference system. FUZZ-IEEE 2002: 420-424 - 2001
- [j1]Ivan Nunes da Silva, André Nunes de Souza, Mário Eduardo Bordon:
A Novel Approach for Solving Constrained Nonlinear Optimization Problems Using Neurofuzzy Systems. Int. J. Neural Syst. 11(3): 281-286 (2001) - [c12]Mário Eduardo Bordon, Edwin Avolio, Ivan Nunes da Silva, André Nunes de Souza:
Design of Simplified Neuro-Fuzzy Systems Based on CMAC Architectures. ISAS-SCI (1) 2001: 1-6 - [c11]Ivan Nunes da Silva, André Nunes de Souza, Mário Eduardo Bordon, José Alfredo Covolan Ulson:
A Neural System to Robust Nonlinear Optimization Subject to Disjoint and Constrained Sets. ISAS-SCI (1) 2001: 7-12 - [c10]André Nunes de Souza, Ivan Nunes da Silva, José Alfredo Covolan Ulson, Mário Eduardo Bordon:
A Novel Neural Model to Electrical Load Forecasting in Transformers. ISAS-SCI (1) 2001: 19-23 - [c9]José Alfredo Covolan Ulson, Maurício de A. Antônio, Ivan Nunes da Silva, André Nunes de Souza:
An Intelligent System to Real Time Rainfall Prediction using Radar Data. ISAS-SCI (1) 2001: 30-34 - 2000
- [c8]André Nunes de Souza, Ivan Nunes da Silva, Mário Eduardo Bordon:
Artificial Neural Networks Applied in Study of Atmospheric Parameters to High Voltage Substations Concerning Lightning. IJCNN (6) 2000: 185-190 - [c7]Ivan Nunes da Silva, André Nunes de Souza, Mário Eduardo Bordon:
A Modified Hopfield Model for Solving the N-Queens Problem. IJCNN (6) 2000: 509-514 - [c6]Mário Eduardo Bordon, Ivan Nunes da Silva, André Nunes de Souza:
Design of a Fuzzy Controller with Simplified Architecture. SBRN 2000: 72-77 - [c5]Ivan Nunes da Silva, André Nunes de Souza, Mário Eduardo Bordon:
A Novel Approach for Solving Constrained Nonlinear Optimization Problems Using Neurofuzzy Systems. SBRN 2000: 213-218 - [c4]Ivan Nunes da Silva, Marcos M. Imamura, André Nunes de Souza:
The application of neural networks to the analysis of dissolved gases in insulating oil used in transformers. SMC 2000: 2643-2648
1990 – 1999
- 1999
- [c3]Ivan Nunes da Silva, Mário Eduardo Bordon, André Nunes de Souza:
Design and analysis of neural networks for systems optimization. IJCNN 1999: 684-689 - [c2]Mário Eduardo Bordon, Ivan Nunes da Silva, André Nunes de Souza:
Design of digital PID controller with gain planning based on CMAC. IJCNN 1999: 2456-2460 - [c1]Ivan Nunes da Silva, André Nunes de Souza, Mário Eduardo Bordon:
Evaluation and identification of lightning models by artificial neural networks. IJCNN 1999: 3816-3820
Coauthor Index
aka: João P. Papa
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