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Filipe de Oliveira Saraiva
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2020 – today
- 2023
- [c9]Raimunda Branco, Filipe Saraiva:
Improved Fuzzy Decision System for Energy Bill Reduction in the Context of the Brazilian White Tariff Scenario. BRACIS (3) 2023: 441-454 - 2021
- [j4]João Pedro Moraes, Ivanilton Polato, Igor Wiese, Filipe Saraiva, Gustavo Pinto:
From one to hundreds: multi-licensing in the JavaScript ecosystem. Empir. Softw. Eng. 26(3): 39 (2021) - [c8]Italo Ramon da Costa Campos, Filipe Saraiva:
A Reactive Multi-agent System for Self-healing in Smart Distribution Grids. CEC 2021: 209-216 - 2020
- [j3]Lucas Silveira Melo, Filipe Saraiva, Ruth Pastôra Saraiva Leão, Raimundo Furtado Sampaio, Giovanni Cordeiro Barroso:
Mosaik and PADE: Multiagents and Co-simulation for smart grids modeling. RITA 27(2): 107-115 (2020) - [j2]Italo Ramon da Costa Campos, Filipe Saraiva:
Reactive multi-agent system applied to self-healing in Smart Grids. RITA 27(2): 127-139 (2020) - [c7]Jeanne Pereira, Filipe Saraiva:
A Comparative Analysis of Unbalanced Data Handling Techniques for Machine Learning Algorithms to Electricity Theft Detection. CEC 2020: 1-8 - [c6]Ronaldd Pinho, Filipe Saraiva:
A Comparison of Crossover Operators in Genetic Algorithms for Switch Allocation Problem in Power Distribution Systems. CEC 2020: 1-8 - [i1]João Pedro Moraes, Ivanilton Polato, Igor Wiese, Filipe Saraiva, Gustavo Pinto:
From One to Hundreds: Multi-Licensing in the JavaScript Ecosystem. CoRR abs/2012.05016 (2020)
2010 – 2019
- 2019
- [c5]Marcos Sousa, Filipe Saraiva:
A Fuzzy System Applied to Photovoltaic Generator Management Aimed to Reduce Electricity Bill. EPIA (1) 2019: 450-461 - 2018
- [c4]Paulo Chagas, Rafael Daisuke Akiyama, Aruanda Simões Goncalves Meiguins, Carlos Gustavo Resque dos Santos, Filipe Saraiva, Bianchi Serique Meiguins, Jefferson Morais:
Evaluation of Convolutional Neural Network Architectures for Chart Image Classification. IJCNN 2018: 1-8 - 2017
- [c3]Filipe de Oliveira Saraiva, Lars Nordström, Eduardo Nobuhiro Asada:
Multi-agent systems applied to power loss minimization in distribution-level smart grid with dynamic load variation. CEC 2017: 217-224 - [c2]Sandro Andrade, Filipe de Oliveira Saraiva:
Principled Evaluation of Strengths and Weaknesses in FLOSS Communities: A Systematic Mixed Methods Maturity Model Approach. OSS 2017: 34-46 - 2015
- [j1]Filipe de Oliveira Saraiva, Wellington Maycon S. Bernardes, Eduardo Nobuhiro Asada:
A framework for classification of non-linear loads in smart grids using Artificial Neural Networks and Multi-Agent Systems. Neurocomputing 170: 328-338 (2015) - 2014
- [c1]Filipe de Oliveira Saraiva, Eduardo Nobuhiro Asada:
Multi-agent systems applied to topological reconfiguration of smart power distribution systems. IJCNN 2014: 2812-2819
Coauthor Index
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