Guilherme Palermo Coelho

According to our database, Guilherme Palermo Coelho authored at least 43 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A benchmark generator for scenario-based discrete optimization.

Matheus Bernardelli de Moraes, Guilherme Palermo Coelho

Comput. Optim. Appl., May, 2024

Evaluating the impact of drift detection mechanisms on stock market forecasting.

Luis Fernando Panicachi Cocovilo Filho, Guilherme Palermo Coelho

Knowl. Inf. Syst., January, 2024

An Information Theoretic Learning Artificial Immune Network for Alternative Clustering.

Ederson Borges, Guilherme Palermo Coelho

J. Braz. Comput. Soc., 2024

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

Ramon Abílio, Guilherme Palermo Coelho, Ana Estela Antunes da Silva

CoRR, 2024

Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts dataset.

Ramon Abílio, Guilherme Palermo Coelho, Ana Estela Antunes da Silva

Appl. Soft Comput., 2024

2022

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

Matheus Bernardelli de Moraes, Guilherme Palermo Coelho

Expert Syst. Appl., 2022

A Random Forest-Assisted Decomposition-Based Evolutionary Algorithm for Multi-Objective Combinatorial Optimization Problems.

Matheus Bernardelli de Moraes, Guilherme Palermo Coelho

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Using BERT to Predict the Brazilian Stock Market.

Arthur Emanuel de Oliveira Carosia, Ana Estela Antunes da Silva, Guilherme Palermo Coelho

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.

Arthur Emanuel de Oliveira Carosia, Guilherme Palermo Coelho, Ana Estela Antunes da Silva

Expert Syst. Appl., 2021

2020

A Framework for Designing and Evaluating Solar Flare Forecasting Systems.

Tiago Cinto, André Leon Sampaio Gradvohl, Guilherme Palermo Coelho, Ana Estela Antunes da Silva

CoRR, 2020

Dynamic ensemble mechanisms to improve particulate matter forecasting.

Andres Bueno, Guilherme Palermo Coelho, João Roberto Bertini Junior

Appl. Soft Comput., 2020

Analyzing the Brazilian Financial Market through Portuguese Sentiment Analysis in Social Media.

Arthur Emanuel de Oliveira Carosia, Guilherme Palermo Coelho, Ana Estela Antunes da Silva

Appl. Artif. Intell., 2020

2019

The influence of tweets and news on the brazilian stock market through sentiment analysis.

Arthur Emanuel de Oliveira Carosia, Guilherme Palermo Coelho, Ana Estela Antunes da Silva

Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

2018

CIP-aiNet: An Entropy-Based Immune Network for Multiple Clustering.

Ederson Borges, Guilherme Palermo Coelho

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Search Operators for Genetic Algorithms Applied to Well Positioning in Oil Fields.

Romulo M. S. Souza, Guilherme Palermo Coelho, Antonio Alberto S. Santos, Denis J. Schiozer

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Using X-Ray Flux Time Series for Solar Explosion Forecasting.

Ismael Caldana, Ana Estela Antunes da Silva, Guilherme Palermo Coelho, André Leon S. Gradvohl

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting.

Andres Bueno, Guilherme Palermo Coelho, João Roberto Bertini Jr.

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

Selection of Representative Models for Decision Analysis Under Uncertainty.

Luis A. A. Meira, Guilherme Palermo Coelho, Antonio Alberto S. Santos, Denis J. Schiozer

Comput. Geosci., 2016

Evaluating the impact of technical indicators on stock forecasting.

Felipe Barboza Oriani, Guilherme Palermo Coelho

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

A Flexible Fitness Function for Community Detection in Complex Networks.

Fabrício Olivetti de França, Guilherme Palermo Coelho

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.

Daniel G. Silva, Everton Z. Nadalin, Guilherme Palermo Coelho, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, Fernando J. Von Zuben, Jugurta Montalvão

Signal Process., 2014

2013

Predicting missing values with biclustering: A coherence-based approach.

Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben

Pattern Recognit., 2013

Identifying overlapping communities in complex networks with multimodal optimization.

Fabrício Olivetti de França, Guilherme Palermo Coelho

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.

Guilherme Palermo Coelho, Celso C. Barbante, Levy Boccato, Romis Ribeiro Faissol Attux, Jose R. Oliveira, Fernando J. Von Zuben

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

A Concentration-Based Artificial Immune Network for Multi-objective Optimization.

Guilherme Palermo Coelho, Fernando J. Von Zuben

Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

A Concentration-based Artificial Immune Network for combinatorial optimization.

Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Evolutionary multi-objective optimization for the vendor-managed inventory routing problem.

Regina M. Azuma, Guilherme Palermo Coelho, Fernando J. Von Zuben

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

An immune-inspired multi-objective approach to the reconstruction of phylogenetic trees.

Guilherme Palermo Coelho, Ana Estela Antunes da Silva, Fernando J. Von Zuben

Neural Comput. Appl., 2010

Neural network ensembles: immune-inspired approaches to the diversity of components.

Rodrigo Pasti, Leandro Nunes de Castro, Guilherme Palermo Coelho, Fernando J. Von Zuben

Nat. Comput., 2010

Query expansion using an immune-inspired biclustering algorithm.

Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Guilherme Palermo Coelho, Fernando J. Von Zuben

Nat. Comput., 2010

Conceptual and Practical Aspects of the aiNet Family of Algorithms.

Fabrício Olivetti de França, Guilherme Palermo Coelho, Pablo A. D. Castro, Fernando J. Von Zuben

Int. J. Nat. Comput. Res., 2010

On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing.

Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A Concentration-based Artificial Immune Network for continuous optimization.

Guilherme Palermo Coelho, Fernando J. Von Zuben

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Multi-Objective Biclustering: When Non-dominated Solutions are not Enough.

Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben

J. Math. Model. Algorithms, 2009

Improving a multi-objective multipopulation artificial immune network for biclustering.

Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

A Multi-Objective Multipopulation Approach for Biclustering.

Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben

Proceedings of the Artificial Immune Systems, 7th International Conference, 2008

Multivariate ant colony optimization in continuous search spaces.

Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben, Romis Ribeiro Faissol Attux

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

bicACO: An Ant Colony Inspired Biclustering Algorithm.

Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

2007

Evolving Phylogenetic Trees: A Multiobjective Approach.

Guilherme Palermo Coelho, Ana Estela Antunes da Silva, Fernando J. Von Zuben

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.

Guilherme Palermo Coelho, Fernando J. Von Zuben, Ana Estela Antunes da Silva

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.

Guilherme Palermo Coelho, Fernando J. Von Zuben

Proceedings of the International Joint Conference on Neural Networks, 2006

omni-aiNet: An Immune-Inspired Approach for Omni Optimization.

Guilherme Palermo Coelho, Fernando J. Von Zuben

Proceedings of the Artificial Immune Systems, 5th International Conference, 2006

2005

Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach.

Pablo Alberto Dalbem de Castro, Guilherme Palermo Coelho, Marcelo F. Caetano, Fernando J. Von Zuben

Proceedings of the Artificial Immune Systems: 4th International Conference, 2005