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Douglas Castilho
Douglas Castilho
Federal Institute of South of Minas Gerais
Verified email at ifsuldeminas.edu.br - Homepage
Title
Cited by
Cited by
Year
A neural network based approach to support the market making strategies in high-frequency trading
E Silva, D Castilho, A Pereira, H Brandao
2014 International Joint Conference on Neural Networks (IJCNN), 845-852, 2014
272014
The strength of the work ties
D Castilho, POSV de Melo, F Benevenuto
Information Sciences 375, 155-170, 2017
192017
Measuring the structural similarity between source code entities
R Terra, J Brunet, L Miranda, MT Valente, D Serey, D Castilho, R Bigonha
a/[(a+ b)(a+ c)] 1 (2), 0-1, 2013
182013
Design and evaluation of automatic agents for stock market intraday trading
E Jabbur, E Silva, D Castilho, A Pereira, H Brandao
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2014
142014
Working with friends: Unveiling working affinity features from facebook data
D Castilho, P Melo, D Quercia, F Benevenuto
Proceedings of the International AAAI Conference on Web and Social Media 8 …, 2014
122014
Proposal and implementation of new trading strategies for stock markets using web data
EJ Machado, ACM Pereira, D Castilho, E Silva, H Brandão
Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 113-120, 2015
82015
Improving portfolio optimization using weighted link prediction in dynamic stock networks
D Castilho, J Gama, LR Mundim, AC de Carvalho
Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019
72019
A binary ensemble classifier for high-frequency trading
E Silva, H Brandão, D Castilho, ACM Pereira
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
52015
Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets
D Castilho, MR Santos, R Tinós, AC Carvalho, MBS Paula, L Ladeira, ...
2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023
2023
Forecasting Financial Market Structure from Network Features using Machine Learning
D Castilho, TTP Souza, SM Kang, J Gama, AC de Carvalho
arXiv preprint arXiv:2110.11751, 2021
2021
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