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Paulo J L Adeodato
Paulo J L Adeodato
Prof. Computer Science UFPE, Visiting Professor Stanford School of Medicine
Verified email at cin.ufpe.br - Homepage
Title
Cited by
Cited by
Year
A new intelligent system methodology for time series forecasting with artificial neural networks
TAE Ferreira, GC Vasconcelos, PJL Adeodato
Neural Processing Letters 28, 113-129, 2008
1312008
MLP ensembles improve long term prediction accuracy over single networks
PJL Adeodato, AL Arnaud, GC Vasconcelos, RCLV Cunha, ...
International Journal of Forecasting 27 (3), 661-671, 2011
652011
A new evolutionary method for time series forecasting
TAE Ferreira, GC Vasconcelos, PJL Adeodato
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005
392005
A framework for data transformation in credit behavioral scoring applications based on model driven development
R Neto, PJ Adeodato, AC Salgado
Expert Systems with Applications 72, 293-305, 2017
332017
A systematic review of predicting elections based on social media data: research challenges and future directions
KDS Brito, RLC Silva Filho, PJL Adeodato
IEEE Transactions on Computational Social Systems 8 (4), 819-843, 2021
312021
PCA and Gaussian noise in MLP neural network training improve generalization in problems with small and unbalanced data sets
IBV da Silva, PJL Adeodato
Neural networks (IJCNN), the 2011 international joint conference on, 2664-2669, 2011
292011
Predição de desempenho de escolas privadas usando o ENEM como indicador de qualidade escolar
PJL Adeodato, MM Santos Filho, RL Rodrigues
Brazilian Symposium on Computers in Education (Simpósio Brasileiro de …, 2014
232014
A neural Network based solution for the credit risk assessment problem
GC Vasconcelos, PJL Adeodato, D Monteiro
IV Brazilian Conference on Neural Networks, São José dos Campos, 1999
221999
Evasão Escolar: Aplicando Mineração de Dados para Identificar Variáveis Relevantes
C Bezerra, R Scholz, P Adeodato, T Lucas, I Ataide
Brazilian Symposium on Computers in Education (Simpósio Brasileiro de …, 2016
182016
The power of sampling and stacking for the PAKDD-2007 cross-selling problem
PJL Adeodato, GC Vasconcelos, AL Arnaud, RCLV Cunha, ...
International Journal of Data Warehousing and Mining (IJDWM) 4 (2), 22-31, 2008
182008
A data mining approach for preventing undergraduate students retention
HRB da Silva, PJL Adeodato
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
172012
A hybrid intelligent system approach for improving the prediction of real world time series
TAE Ferreira, GC Vasconcelos, PJL Adeodato
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
172004
A new evolutionary approach for time series forecasting
TAE Ferreira, GC Vasconcelos, PJL Adeodato
2007 IEEE Symposium on Computational Intelligence and Data Mining, 616-623, 2007
162007
Predicting Brazilian and US Elections with Machine Learning and Social Media Data
K dos Santos Brito, PJL Adeodato
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
152020
Neural Networks vs Logistic Regression: a Comparative Study on a Large Data Set.
PJL Adeodato, GC Vasconcelos, AL Arnaud, RAF Santos, RCLV Cunha, ...
ICPR (3), 355-358, 2004
152004
Measuring the performances of politicians on social media and the correlation with major Latin American election results
K Brito, PJL Adeodato
Government Information Quarterly 39 (4), 101745, 2022
142022
Continuous dynamical combination of short and long-term forecasts for nonstationary time series
DSP Salazar, PJL Adeodato, AL Arnaud
IEEE transactions on neural networks and learning systems 25 (1), 241-246, 2013
142013
Predicting software defects: A cost-sensitive approach
MER Bezerra, ALI Oliveiray, PJL Adeodato
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on …, 2011
142011
Improving reinforcement learning algorithms by the use of data mining techniques for feature and action selection
DC de L Vieira, PJL Adeodato, PM Gonçalves
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on …, 2010
142010
Machine learning for predicting elections in Latin America based on social media engagement and polls
K Brito, PJL Adeodato
Government Information Quarterly 40 (1), 101782, 2023
132023
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Articles 1–20