Guilherme Palermo Coelho

Orcid: 0000-0002-4641-0684

According to our database1, Guilherme Palermo Coelho authored at least 41 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
A benchmark generator for scenario-based discrete optimization.
Comput. Optim. Appl., May, 2024

Evaluating the impact of drift detection mechanisms on stock market forecasting.
Knowl. Inf. Syst., January, 2024

Evaluating Named Entity Recognition: Comparative Analysis of Mono- and Multilingual Transformer Models on Brazilian Corporate Earnings Call Transcriptions.
CoRR, 2024

2022
A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D.
Expert Syst. Appl., 2022

A Random Forest-Assisted Decomposition-Based Evolutionary Algorithm for Multi-Objective Combinatorial Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Using BERT to Predict the Brazilian Stock Market.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Investment strategies applied to the Brazilian stock market: A methodology based on Sentiment Analysis with deep learning.
Expert Syst. Appl., 2021

2020
A Framework for Designing and Evaluating Solar Flare Forecasting Systems.
CoRR, 2020

Dynamic ensemble mechanisms to improve particulate matter forecasting.
Appl. Soft Comput., 2020

Analyzing the Brazilian Financial Market through Portuguese Sentiment Analysis in Social Media.
Appl. Artif. Intell., 2020

2019
The influence of tweets and news on the brazilian stock market through sentiment analysis.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

2018
CIP-aiNet: An Entropy-Based Immune Network for Multiple Clustering.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Search Operators for Genetic Algorithms Applied to Well Positioning in Oil Fields.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Using X-Ray Flux Time Series for Solar Explosion Forecasting.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Selection of Representative Models for Decision Analysis Under Uncertainty.
Comput. Geosci., 2016

Evaluating the impact of technical indicators on stock forecasting.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
A Flexible Fitness Function for Community Detection in Complex Networks.
Proceedings of the Complex Networks VI, 2015

2014
A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order.
Signal Process., 2014

2013
Predicting missing values with biclustering: A coherence-based approach.
Pattern Recognit., 2013

Identifying overlapping communities in complex networks with multimodal optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
A Concentration-Based Artificial Immune Network for Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

A Concentration-based Artificial Immune Network for combinatorial optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Evolutionary multi-objective optimization for the vendor-managed inventory routing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
An immune-inspired multi-objective approach to the reconstruction of phylogenetic trees.
Neural Comput. Appl., 2010

Neural network ensembles: immune-inspired approaches to the diversity of components.
Nat. Comput., 2010

Query expansion using an immune-inspired biclustering algorithm.
Nat. Comput., 2010

Conceptual and Practical Aspects of the aiNet Family of Algorithms.
Int. J. Nat. Comput. Res., 2010

On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A Concentration-based Artificial Immune Network for continuous optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Multi-Objective Biclustering: When Non-dominated Solutions are not Enough.
J. Math. Model. Algorithms, 2009

Improving a multi-objective multipopulation artificial immune network for biclustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
A Multi-Objective Multipopulation Approach for Biclustering.
Proceedings of the Artificial Immune Systems, 7th International Conference, 2008

Multivariate ant colony optimization in continuous search spaces.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

bicACO: An Ant Colony Inspired Biclustering Algorithm.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

2007
Evolving Phylogenetic Trees: A Multiobjective Approach.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007

A Multiobjective Approach to Phylogenetic Trees: Selecting the Most Promising Solutions from the Pareto Front.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

2006
The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2006

omni-aiNet: An Immune-Inspired Approach for Omni Optimization.
Proceedings of the Artificial Immune Systems, 5th International Conference, 2006

2005
Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach.
Proceedings of the Artificial Immune Systems: 4th International Conference, 2005


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