Guilherme Palermo Coelho

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 17

Top Topics

Sentiment Analysis

Combinatorial Optimization Problems

Evolutionary Algorithm

Extreme Learning Machines

Top Venues

Expert Syst. Appl.

Publications

Matheus Bernardelli de Moraes, Guilherme Palermo Coelho
A benchmark generator for scenario-based discrete optimization. Comput. Optim. Appl. 88 (1) (2024)
Ramon Abílio, Guilherme Palermo Coelho, Ana Estela Antunes da Silva
Evaluating Named Entity Recognition: Comparative Analysis of Mono- and Multilingual Transformer Models on Brazilian Corporate Earnings Call Transcriptions. CoRR (2024)
Luis Fernando Panicachi Cocovilo Filho, Guilherme Palermo Coelho
Evaluating the impact of drift detection mechanisms on stock market forecasting. Knowl. Inf. Syst. 66 (1) (2024)
Arthur Emanuel de Oliveira Carosia, Ana Estela Antunes da Silva, Guilherme Palermo Coelho
Using BERT to Predict the Brazilian Stock Market. BRACIS (2) (2022)
Matheus Bernardelli de Moraes, Guilherme Palermo Coelho
A Random Forest-Assisted Decomposition-Based Evolutionary Algorithm for Multi-Objective Combinatorial Optimization Problems. CEC (2022)
Matheus Bernardelli de Moraes, Guilherme Palermo Coelho
A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D. Expert Syst. Appl. 202 (2022)
Arthur Emanuel de Oliveira Carosia, Guilherme Palermo Coelho, Ana Estela Antunes da Silva
Investment strategies applied to the Brazilian stock market: A methodology based on Sentiment Analysis with deep learning. Expert Syst. Appl. 184 (2021)
Andres Bueno, Guilherme Palermo Coelho, João Roberto Bertini Junior
Dynamic ensemble mechanisms to improve particulate matter forecasting. Appl. Soft Comput. 91 (2020)
Arthur Emanuel de Oliveira Carosia, Guilherme Palermo Coelho, Ana Estela Antunes da Silva
Analyzing the Brazilian Financial Market through Portuguese Sentiment Analysis in Social Media. Appl. Artif. Intell. 34 (1) (2020)
Tiago Cinto, André Leon Sampaio Gradvohl, Guilherme Palermo Coelho, Ana Estela Antunes da Silva
A Framework for Designing and Evaluating Solar Flare Forecasting Systems. CoRR (2020)
Arthur Emanuel de Oliveira Carosia, Guilherme Palermo Coelho, Ana Estela Antunes da Silva
The influence of tweets and news on the brazilian stock market through sentiment analysis. WebMedia (2019)
Romulo M. S. Souza, Guilherme Palermo Coelho, Antonio Alberto S. Santos, Denis J. Schiozer
Search Operators for Genetic Algorithms Applied to Well Positioning in Oil Fields. BRACIS (2018)
Ederson Borges, Guilherme Palermo Coelho
CIP-aiNet: An Entropy-Based Immune Network for Multiple Clustering. CEC (2018)
Ismael Caldana, Ana Estela Antunes da Silva, Guilherme Palermo Coelho, André Leon S. Gradvohl
Using X-Ray Flux Time Series for Solar Explosion Forecasting. BRACIS (2017)
Andres Bueno, Guilherme Palermo Coelho, João Roberto Bertini Jr.
Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting. BRACIS (2017)
Luis A. A. Meira, Guilherme Palermo Coelho, Antonio Alberto S. Santos, Denis J. Schiozer
Selection of Representative Models for Decision Analysis Under Uncertainty. Comput. Geosci. 88 (2016)
Felipe Barboza Oriani, Guilherme Palermo Coelho
Evaluating the impact of technical indicators on stock forecasting. SSCI (2016)
Fabrício Olivetti de França, Guilherme Palermo Coelho
A Flexible Fitness Function for Community Detection in Complex Networks. CompleNet (2015)
Daniel G. Silva, Everton Z. Nadalin, Guilherme Palermo Coelho, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, Fernando J. Von Zuben, Jugurta Montalvão
A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order. Signal Process. 96 (2014)
Fabrício Olivetti de França, Guilherme Palermo Coelho
A Flexible Fitness Function for Community Detection in Complex Networks. CoRR (2014)
Fabrício Olivetti de França, Guilherme Palermo Coelho
Identifying overlapping communities in complex networks with multimodal optimization. IEEE Congress on Evolutionary Computation (2013)
Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben
Predicting missing values with biclustering: A coherence-based approach. Pattern Recognit. 46 (5) (2013)
Guilherme Palermo Coelho, Celso C. Barbante, Levy Boccato, Romis Ribeiro Faissol Attux, Jose R. Oliveira, Fernando J. Von Zuben
Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines. IJCNN (2012)
Guilherme Palermo Coelho, Fernando J. Von Zuben
A Concentration-Based Artificial Immune Network for Multi-objective Optimization. EMO (2011)
Regina M. Azuma, Guilherme Palermo Coelho, Fernando J. Von Zuben
Evolutionary multi-objective optimization for the vendor-managed inventory routing problem. IEEE Congress on Evolutionary Computation (2011)
Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben
A Concentration-based Artificial Immune Network for combinatorial optimization. IEEE Congress on Evolutionary Computation (2011)
Rodrigo Pasti, Leandro Nunes de Castro, Guilherme Palermo Coelho, Fernando J. Von Zuben
Neural network ensembles: immune-inspired approaches to the diversity of components. Nat. Comput. 9 (3) (2010)
Guilherme Palermo Coelho, Fernando J. Von Zuben
A Concentration-based Artificial Immune Network for continuous optimization. IEEE Congress on Evolutionary Computation (2010)
Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben
On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing. IEEE Congress on Evolutionary Computation (2010)
Guilherme Palermo Coelho, Ana Estela Antunes da Silva, Fernando J. Von Zuben
An immune-inspired multi-objective approach to the reconstruction of phylogenetic trees. Neural Comput. Appl. 19 (8) (2010)
Fabrício Olivetti de França, Guilherme Palermo Coelho, Pablo A. D. Castro, Fernando J. Von Zuben
Conceptual and Practical Aspects of the aiNet Family of Algorithms. Int. J. Nat. Comput. Res. 1 (1) (2010)
Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Guilherme Palermo Coelho, Fernando J. Von Zuben
Query expansion using an immune-inspired biclustering algorithm. Nat. Comput. 9 (3) (2010)
Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben
Improving a multi-objective multipopulation artificial immune network for biclustering. IEEE Congress on Evolutionary Computation (2009)
Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben
Multi-Objective Biclustering: When Non-dominated Solutions are not Enough. J. Math. Model. Algorithms 8 (2) (2009)
Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben
bicACO: An Ant Colony Inspired Biclustering Algorithm. ANTS Conference (2008)
Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben
A Multi-Objective Multipopulation Approach for Biclustering. ICARIS (2008)
Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben, Romis Ribeiro Faissol Attux
Multivariate ant colony optimization in continuous search spaces. GECCO (2008)
Guilherme Palermo Coelho, Fernando J. Von Zuben, Ana Estela Antunes da Silva
A Multiobjective Approach to Phylogenetic Trees: Selecting the Most Promising Solutions from the Pareto Front. ISDA (2007)
Guilherme Palermo Coelho, Ana Estela Antunes da Silva, Fernando J. Von Zuben
Evolving Phylogenetic Trees: A Multiobjective Approach. BSB (2007)
Guilherme Palermo Coelho, Fernando J. Von Zuben
omni-aiNet: An Immune-Inspired Approach for Omni Optimization. ICARIS (2006)
Guilherme Palermo Coelho, Fernando J. Von Zuben
The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles. IJCNN (2006)
Pablo Alberto Dalbem de Castro, Guilherme Palermo Coelho, Marcelo F. Caetano, Fernando J. Von Zuben
Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach. ICARIS (2005)