Guilherme Palermo Coelho

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Fernando J. Von ZubenDCA/FEEC/UnicampVerified email at dca.fee.unicamp.br
Ana Estela Antunes da SilvaProfessor de Computação da Faculdade de Tecnologia da UnicampVerified email at ft.unicamp.br
Fabricio Olivetti de FrançaUniversidade Federal do ABC (UFABC)Verified email at ufabc.edu.br
Denis José SchiozerState University of Campinas (UNICAMP)Verified email at unicamp.br
Antonio Alberto Souza SantosUniversidade de Campinas - UnicampVerified email at unicamp.br
André Leon Sampaio GradvohlFaculdade de Tecnologia - Universidade Estadual de CampinasVerified email at ft.unicamp.br
Luis A. A. MeiraAssistant Professor, University of CampinasVerified email at ft.unicamp.br
Pablo A. Dalbem de CastroFederal Institute of Education, Science and Technology of São Paulo (IFSP)Verified email at ifsp.edu.br
Romis Ribeiro de Faissol AttuxProfessor - DCA/FEEC/UNICAMPVerified email at dca.fee.unicamp.br
Tiago CintoVerified email at pos.ft.unicamp.br
Matheus Bernardelli de MoraesPhD candidate, University of CampinasVerified email at dac.unicamp.br
Simone Andréa PozzaUnicampVerified email at unicamp.br
Celmar Guimarães da SilvaFaculdade de Tecnologia, Universidade Estadual de CampinasVerified email at ft.unicamp.br
Marcelo CaetanoUniversity of California San DiegoVerified email at ucsd.edu
José R. de OliveiraProfessor de Engenharia Elétrica, Universidade Estadual de CampinasVerified email at unicamp.br
Levy BoccatoSchool of Electrical and Computer Engineering, Universidade Estadual de CampinasVerified email at unicamp.br
Ricardo SuyamaUniversidade Federal do ABCVerified email at ufabc.edu.br
Romulo Messias Silva SouzaUnicampVerified email at romulomessias.dev
Mirelle BuenoUniversity of CampinasVerified email at dac.unicamp.br
João Roberto Bertini JuniorUniversidade Estadual de CampinasVerified email at ft.unicamp.br

Guilherme Palermo Coelho

Associate Professor at the School of Technology (FT), University of Campinas (Unicamp)

Verified email at ft.unicamp.br - Homepage

Computational Intelligence Multi-objective Optimization Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
omni-aiNet: An immune-inspired approach for omni optimization GP Coelho, FJ Von Zuben International Conference on Artificial Immune Systems, 294-308, 2006	95	2006
Analyzing the Brazilian financial market through Portuguese sentiment analysis in social media AEO Carosia, GP Coelho, AEA Silva Applied Artificial Intelligence 34 (1), 1-19, 2020	78	2020
Investment strategies applied to the Brazilian stock market: a methodology based on sentiment analysis with deep learning AE de Oliveira Carosia, GP Coelho, AEA Da Silva Expert Systems with Applications 184, 115470, 2021	73	2021
Selection of representative models for decision analysis under uncertainty LAA Meira, GP Coelho, AAS Santos, DJ Schiozer Computers & Geosciences 88, 67-82, 2016	71	2016
Designing ensembles of fuzzy classification systems: An immune-inspired approach P Castro, G Coelho, M Caetano, F Von Zuben Artificial Immune Systems, 469-482, 2005	70	2005
Evaluating the impact of technical indicators on stock forecasting FB Oriani, GP Coelho 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016	65	2016
Predicting missing values with biclustering: A coherence-based approach FO de França, GP Coelho, FJ Von Zuben Pattern Recognition 46 (5), 1255-1266, 2013	45	2013
Automatic Feature Selection for BCI: an Analysis using the Davies-Bouldin Index and Extreme Learning Machines GP Coelho, CC Barbante, L Boccato, RRF Attux, JR Oliveira IEEE World Conference on Computational Intelligence (WCCI), 2012	40	2012
Conceptual and practical aspects of the aiNet family of algorithms FO de França, GP Coelho, PAD Castro, FJ Von Zuben Nature-Inspired Computing Design, Development, and Applications, 1-38, 2012	37	2012
Multi-objective biclustering: When non-dominated solutions are not enough GP Coelho, FO de França, FJ Von Zuben Journal of Mathematical Modelling and Algorithms 8, 175-202, 2009	37	2009
A multi-objective multipopulation approach for biclustering GP Coelho, FO de França, FJ Von Zuben Artificial Immune Systems: 7th International Conference, ICARIS 2008, Phuket …, 2008	35	2008
Improving representativeness in a scenario reduction process to aid decision making in petroleum fields LAA Meira, GP Coelho, CG da Silva, JLA Abreu, AAS Santos, DJ Schiozer Journal of Petroleum Science and Engineering 184, 106398, 2020	33	2020
A concentration-based artificial immune network for continuous optimization GP Coelho, FJ Von Zuben IEEE Congress on Evolutionary Computation, 1-8, 2010	32	2010
Evolutionary multi-objective optimization for the vendor-managed inventory routing problem RM Azuma, GP Coelho, FJ Von Zuben 2011 IEEE Congress of Evolutionary Computation (CEC), 1457-1464, 2011	31	2011
Query expansion using an immune-inspired biclustering algorithm PAD de Castro, FO de Franca, HM Ferreira, GP Coelho, FJ Von Zuben Natural Computing 9, 579-602, 2010	30	2010
Solar flare forecasting using time series and extreme gradient boosting ensembles T Cinto, ALS Gradvohl, GP Coelho, AEA Da Silva Solar Physics 295 (7), 93, 2020	27	2020
An immune-inspired multi-objective approach to the reconstruction of phylogenetic trees GP Coelho, AEA Da Silva, FJ Von Zuben Neural Computing and Applications 19, 1103-1132, 2010	27	2010
Multivariate ant colony optimization in continuous search spaces FO de Franca, GP Coelho, FJ Von Zuben, RRF Attux Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008	27	2008
A framework for designing and evaluating solar flare forecasting systems T Cinto, ALS Gradvohl, GP Coelho, AEA da Silva Monthly Notices of the Royal Astronomical Society 495 (3), 3332-3349, 2020	26	2020
RMFinder 2.0: An improved interactive multi-criteria scenario reduction methodology LA Meira, GP Coelho, CG Silva, DJ Schiozer, AS Santos SPE Latin America and Caribbean Petroleum Engineering Conference, D031S017R003, 2017	26	2017

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