Gisele L. Pappa
Cited by
Cited by
Inferring the location of twitter messages based on user relationships
CA Davis Jr, GL Pappa, DRR De Oliveira, F de L. Arcanjo
Transactions in GIS 15 (6), 735-751, 2011
Adaptive normalization: A novel data normalization approach for non-stationary time series
E Ogasawara, LC Martinez, D De Oliveira, G Zimbrão, GL Pappa, ...
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010
RECIPE: a grammar-based framework for automatically evolving classification pipelines
AGC de Sá, WJGS Pinto, LOVB Oliveira, GL Pappa
Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The …, 2017
A customized classification algorithm for credit card fraud detection
AGC de Sá, ACM Pereira, GL Pappa
Engineering Applications of Artificial Intelligence 72, 21-29, 2018
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
GL Pappa, G Ochoa, MR Hyde, AA Freitas, J Woodward, J Swan
Genetic Programming and Evolvable Machines 15, 3-35, 2014
Roadside unit deployment for information dissemination in a VANET: An evolutionary approach
ES Cavalcante, ALL Aquino, GL Pappa, AAF Loureiro
Proceedings of the 14th annual conference companion on Genetic and …, 2012
Automating the design of data mining algorithms: an evolutionary computation approach
GL Pappa, A Freitas
Springer Science & Business Media, 2009
Factors associated with weight change in online weight management communities: a case study in the LoseIt Reddit community
GL Pappa, TO Cunha, PV Bicalho, A Ribeiro, AP Couto Silva, W Meira Jr, ...
Journal of medical Internet research 19 (1), e17, 2017
A general framework to expand short text for topic modeling
P Bicalho, M Pita, G Pedrosa, A Lacerda, GL Pappa
Information Sciences 393, 66-81, 2017
From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA
LC Martinez, DN da Hora, JRM Palotti, W Meira, GL Pappa
2009 International Joint Conference on Neural Networks, 2006-2013, 2009
Traffic observatory: a system to detect and locate traffic events and conditions using Twitter
SS Ribeiro Jr, CA Davis Jr, DRR Oliveira, W Meira Jr, TS Gonçalves, ...
Proceedings of the 5th ACM SIGSPATIAL international workshop on location …, 2012
Attribute selection with a multi-objective genetic algorithm
GL Pappa, AA Freitas, CAA Kaestner
Advances in Artificial Intelligence: 16th Brazilian Symposium on Artificial …, 2002
Metaheuristics “in the large”
J Swan, S Adriaensen, AEI Brownlee, K Hammond, CG Johnson, A Kheiri, ...
European Journal of Operational Research 297 (2), 393-406, 2022
Active learning genetic programming for record deduplication
J De Freitas, GL Pappa, AS da Silva, MA Gonc, E Moura, A Veloso, ...
IEEE Congress on Evolutionary Computation, 1-8, 2010
Evolving rule induction algorithms with multi-objective grammar-based genetic programming
GL Pappa, AA Freitas
Knowledge and information systems 19, 283-309, 2009
Automatic text summarization with genetic algorithm-based attribute selection
CN Silla Jr, GL Pappa, AA Freitas, CAA Kaestner
Ibero-American Conference on Artificial Intelligence, 305-314, 2004
Twitter population sample bias and its impact on predictive outcomes: a case study on elections
RM Filho, JM Almeida, GL Pappa
Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015
Demand-driven tag recommendation
GV Menezes, JM Almeida, F Belém, MA Gonçalves, A Lacerda, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
A research agenda for metaheuristic standardization
J Swan, S Adriaensen, M Bishr, EK Burke, JA Clark, P De Causmaecker, ...
Proceedings of the XI metaheuristics international conference, 1-3, 2015
A multiobjective genetic algorithm for attribute selection
GL Pappa, AA Freitas, CAA Kaestner
Proc. 4th Int. Conf. on Recent Advances in Soft Computing (RASC-2002), 116-121, 2002
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