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Guilherme Palermo Coelho
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2020 – today
- 2024
- [j15]Ramon Abílio, Guilherme Palermo Coelho, Ana Estela Antunes da Silva:
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts dataset. Appl. Soft Comput. 166: 112158 (2024) - [j14]Matheus Bernardelli de Moraes, Guilherme Palermo Coelho:
A benchmark generator for scenario-based discrete optimization. Comput. Optim. Appl. 88(1): 349-378 (2024) - [j13]Luis Fernando Panicachi Cocovilo Filho, Guilherme Palermo Coelho:
Evaluating the impact of drift detection mechanisms on stock market forecasting. Knowl. Inf. Syst. 66(1): 723-763 (2024) - [i3]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 abs/2403.12212 (2024) - 2022
- [j12]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: 117251 (2022) - [c25]Arthur Emanuel de Oliveira Carosia, Ana Estela Antunes da Silva, Guilherme Palermo Coelho:
Using BERT to Predict the Brazilian Stock Market. BRACIS (2) 2022: 56-70 - [c24]Matheus Bernardelli de Moraes, Guilherme Palermo Coelho:
A Random Forest-Assisted Decomposition-Based Evolutionary Algorithm for Multi-Objective Combinatorial Optimization Problems. CEC 2022: 1-8 - 2021
- [j11]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: 115470 (2021) - 2020
- [j10]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): 1-19 (2020) - [j9]Andres Bueno, Guilherme Palermo Coelho, João Roberto Bertini Junior:
Dynamic ensemble mechanisms to improve particulate matter forecasting. Appl. Soft Comput. 91: 106123 (2020) - [i2]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 abs/2005.02493 (2020)
2010 – 2019
- 2019
- [c23]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: 385-392 - 2018
- [c22]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: 498-503 - [c21]Ederson Borges, Guilherme Palermo Coelho:
CIP-aiNet: An Entropy-Based Immune Network for Multiple Clustering. CEC 2018: 1-8 - 2017
- [c20]Andres Bueno, Guilherme Palermo Coelho, João Roberto Bertini Jr.:
Online Sequential Learning Based on Extreme Learning Machines for Particulate Matter Forecasting. BRACIS 2017: 169-174 - [c19]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: 204-209 - 2016
- [j8]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: 67-82 (2016) - [c18]Felipe Barboza Oriani, Guilherme Palermo Coelho:
Evaluating the impact of technical indicators on stock forecasting. SSCI 2016: 1-8 - 2015
- [c17]Fabrício Olivetti de França, Guilherme Palermo Coelho:
A Flexible Fitness Function for Community Detection in Complex Networks. CompleNet 2015: 1-12 - 2014
- [j7]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: 153-163 (2014) - [i1]Fabrício Olivetti de França, Guilherme Palermo Coelho:
A Flexible Fitness Function for Community Detection in Complex Networks. CoRR abs/1406.2545 (2014) - 2013
- [j6]Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben:
Predicting missing values with biclustering: A coherence-based approach. Pattern Recognit. 46(5): 1255-1266 (2013) - [c16]Fabrício Olivetti de França, Guilherme Palermo Coelho:
Identifying overlapping communities in complex networks with multimodal optimization. IEEE Congress on Evolutionary Computation 2013: 269-276 - 2012
- [c15]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: 1-8 - 2011
- [c14]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: 1242-1249 - [c13]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: 1457-1464 - [c12]Guilherme Palermo Coelho, Fernando J. Von Zuben:
A Concentration-Based Artificial Immune Network for Multi-objective Optimization. EMO 2011: 343-357 - 2010
- [j5]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): 1-35 (2010) - [j4]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): 579-602 (2010) - [j3]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): 625-653 (2010) - [j2]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): 1103-1132 (2010) - [c11]Guilherme Palermo Coelho, Fernando J. Von Zuben:
A Concentration-based Artificial Immune Network for continuous optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c10]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: 1-8
2000 – 2009
- 2009
- [j1]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): 175-202 (2009) - [c9]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: 2748-2755 - 2008
- [c8]Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben:
bicACO: An Ant Colony Inspired Biclustering Algorithm. ANTS Conference 2008: 401-402 - [c7]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: 9-16 - [c6]Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben:
A Multi-Objective Multipopulation Approach for Biclustering. ICARIS 2008: 71-82 - 2007
- [c5]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: 837-842 - [c4]Guilherme Palermo Coelho, Ana Estela Antunes da Silva, Fernando J. Von Zuben:
Evolving Phylogenetic Trees: A Multiobjective Approach. BSB 2007: 113-125 - 2006
- [c3]Guilherme Palermo Coelho, Fernando J. Von Zuben:
omni-aiNet: An Immune-Inspired Approach for Omni Optimization. ICARIS 2006: 294-308 - [c2]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: 5132-5139 - 2005
- [c1]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: 469-482
Coauthor Index
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