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 (ICARIS, 2005)

omni-aiNet: An Immune-Inspired Approach for Omni Optimization. - Guilherme Palermo Coelho; Fernando J. Von Zuben (ICARIS, 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 (IJCNN, 2006)

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 (ISDA, 2007)

Evolving Phylogenetic Trees: A Multiobjective Approach. - Guilherme Palermo Coelho; Ana Estela Antunes da Silva; Fernando J. Von Zuben (BSB, 2007)

bicACO: An Ant Colony Inspired Biclustering Algorithm. - Fabrício Olivetti de França; Guilherme Palermo Coelho; Fernando J. Von Zuben (ANTS 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 (GECCO, 2008)

A Multi-Objective Multipopulation Approach for Biclustering. - Guilherme Palermo Coelho; Fabrício Olivetti de França; Fernando J. Von Zuben (ICARIS, 2008)

Improving a multi-objective multipopulation artificial immune network for biclustering. - Guilherme Palermo Coelho; Fabrício Olivetti de França; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 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)

A Concentration-based Artificial Immune Network for continuous optimization. - Guilherme Palermo Coelho; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 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 (IEEE Congress on Evolutionary Computation, 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)

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)

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)

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)

Evolutionary multi-objective optimization for the vendor-managed inventory routing problem. - Regina M. Azuma; Guilherme Palermo Coelho; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2011)

A Concentration-based Artificial Immune Network for combinatorial optimization. - Guilherme Palermo Coelho; Fabrício Olivetti de França; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2011)

A Concentration-Based Artificial Immune Network for Multi-objective Optimization. - Guilherme Palermo Coelho; Fernando J. Von Zuben (EMO, 2011)

Redes imunológicas artificiais para otimização em espaços contínuos : uma proposta baseada em concentração de anticorpos - Guilherme Palermo Coelho (2011)

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 (IJCNN, 2012)

Identifying overlapping communities in complex networks with multimodal optimization. - Fabrício Olivetti de França; Guilherme Palermo Coelho (IEEE Congress on Evolutionary Computation, 2013)

Predicting missing values with biclustering: A coherence-based approach. - Fabrício Olivetti de França; Guilherme Palermo Coelho; Fernando J. Von Zuben (Pattern Recognit., 2013)

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)

A Flexible Fitness Function for Community Detection in Complex Networks. - Fabrício Olivetti de França; Guilherme Palermo Coelho (CompleNet, 2015)

Evaluating the impact of technical indicators on stock forecasting. - Felipe Barboza Oriani; Guilherme Palermo Coelho (SSCI, 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)

Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting. - Andres Bueno; Guilherme Palermo Coelho; João Roberto Bertini Jr. (BRACIS, 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 (BRACIS, 2017)

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 (BRACIS, 2018)

CIP-aiNet: An Entropy-Based Immune Network for Multiple Clustering. - Ederson Borges; Guilherme Palermo Coelho (CEC, 2018)

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 (WebMedia, 2019)

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)

Dynamic ensemble mechanisms to improve particulate matter forecasting. - Andres Bueno; Guilherme Palermo Coelho; João Roberto Bertini Junior (Appl. Soft Comput., 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)

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)

Using BERT to Predict the Brazilian Stock Market. - Arthur Emanuel de Oliveira Carosia; Ana Estela Antunes da Silva; Guilherme Palermo Coelho (BRACIS (2), 2022)

A Random Forest-Assisted Decomposition-Based Evolutionary Algorithm for Multi-Objective Combinatorial Optimization Problems. - Matheus Bernardelli de Moraes; Guilherme Palermo Coelho (CEC, 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)

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)

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)

An Information Theoretic Learning Artificial Immune Network for Alternative Clustering. - Ederson Borges; Guilherme Palermo Coelho (J. Braz. Comput. Soc., 2024)

Evaluating the impact of drift detection mechanisms on stock market forecasting. - Luis Fernando Panicachi Cocovilo Filho; Guilherme Palermo Coelho (Knowl. Inf. Syst., 2024)

A benchmark generator for scenario-based discrete optimization. - Matheus Bernardelli de Moraes; Guilherme Palermo Coelho (Comput. Optim. Appl., 2024)