Douglas Castilho

Affiliations:
  • University of São Paulo (USP), Institute of Mathematics and Computer Sciences (ICMC), Brazil
  • Federal Institute of South of Minas Gerais (IFSULDEMINAS), Laboratory of Technology and Innovation (LATIN), Poços de Caldas, Brazil


According to our database1, Douglas Castilho authored at least 13 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Forecasting financial market structure from network features using machine learning.
Knowl. Inf. Syst., August, 2024

Multi-source data ensemble for energy price trend forecasting.
Eng. Appl. Artif. Intell., 2024

2023
Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets.
Proceedings of the International Joint Conference on Neural Networks, 2023

The Strength of Influence Ties in Stock Networks: Empirical Analysis for Portfolio Selection.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

2019
Improving Portfolio Optimization Using Weighted Link Prediction in Dynamic Stock Networks.
Proceedings of the Computational Science - ICCS 2019, 2019

2017
The strength of the work ties.
Inf. Sci., 2017

2015
Proposal and Implementation of New Trading Strategies for Stock Markets using Web Data.
Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015

A binary ensemble classifier for high-frequency trading.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Design and Evaluation of Automatic Agents for Stock Market Intraday Trading.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

A neural network based approach to support the Market Making strategies in High-Frequency Trading.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Working with Friends: Unveiling Working Affinity Features from Facebook Data.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

2013
Measuring the Structural Similarity between Source Code Entities (S).
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013


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