Autoassociative Memory with high Storage Capacity. - Paulo J. L. Adeodato; John G. Taylor (ICANN, 1996)

Stability analysis of pRAM reinforcement learning. - Paulo J. L. Adeodato; John G. Taylor (SBRN, 1997)

Learnability in Sequential RAM-based Neural Networks. - Marcílio Carlos Pereira de Souto; Paulo J. L. Adeodato (SBRN, 1998)

Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference. - Marcílio Carlos Pereira de Souto; Paulo J. L. Adeodato; Teresa Bernarda Ludermir (Int. J. Neural Syst., 1999)

A hybrid intelligent system approach for improving the prediction of real world time series. - Tiago A. E. Ferreira; Germano C. Vasconcelos; Paulo J. L. Adeodato (IEEE Congress on Evolutionary Computation, 2004)

Neural Networks vs Logistic Regression: a Comparative Study on a Large Data Set. - Paulo J. L. Adeodato; Germano C. Vasconcelos; Adrian L. Arnaud; Roberto A. F. Santos; Rodrigo C. L. V. Cunha; Domingos S. M. P. Monteiro (ICPR (3), 2004)

A new evolutionary method for time series forecasting. - Tiago A. E. Ferreira; Germano C. Vasconcelos; Paulo J. L. Adeodato (GECCO, 2005)

A New Evolutionary Approach for Time Series Forecasting. - Tiago A. E. Ferreira; Germano C. Vasconcelos; Paulo J. L. Adeodato (CIDM, 2007)

A systematic solution for the NN3 Forecasting Competition problem based on an ensemble of MLP neural networks. - Paulo J. L. Adeodato; Germano C. Vasconcelos; Adrian L. Arnaud; Rodrigo C. L. V. Cunha; Domingos Sávio Malaquias Pessoa Monteiro (ICPR, 2008)

Enhancing RBF-DDA Algorithm's Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules. - Miguel E. R. Bezerra; Adriano L. I. Oliveira; Paulo J. L. Adeodato; Silvio R. L. Meira (IFIP AI, 2008)

The Power of Sampling and Stacking for the PaKDD-2007 Cross-Selling Problem. - Paulo J. L. Adeodato; Germano C. Vasconcelos; Adrian L. Arnaud; Rodrigo C. L. V. Cunha; Domingos S. M. P. Monteiro; Rosalvo F. O. Neto (Int. J. Data Warehous. Min., 2008)

A New Intelligent System Methodology for Time Series Forecasting with Artificial Neural Networks. - Tiago A. E. Ferreira; Germano C. Vasconcelos; Paulo J. L. Adeodato (Neural Process. Lett., 2008)

A Decision Support System Based on Data Mining for Pediatric Cardiology Diagnosis. - Paulo J. L. Adeodato; Tarcísio B. Gurgel; Sandra Mattos (DMIN, 2009)

Knowledge Reuse in Data Mining Projects and Its Practical Applications. - Rodrigo C. L. V. Cunha; Paulo J. L. Adeodato; Silvio Romero de Lemos Meira (ICEIS, 2009)

The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge. - Paulo J. L. Adeodato; Adrian L. Arnaud; Germano C. Vasconcelos; Rodrigo C. L. V. Cunha; Tarcísio B. Gurgel; Domingos S. M. P. Monteiro (IJCNN, 2009)

A data mining approach to solve the goal scoring problem. - Renato Oliveira; Paulo J. L. Adeodato; Arthur Carvalho; Icamaan Viegas; Christian Diego; Ing Ren Tsang (IJCNN, 2009)

Integration and Knowledge Reuse Environment for Producing Award Winning Solutions for Binary Decision Data Mining Problems. - Rodrigo C. L. V. Cunha; Paulo J. L. Adeodato; Silvio R. L. Meira (IRI, 2009)

The Power of Sampling and Stacking for the PAKDD-2007 Cross-Selling Problem. - Paulo J. L. Adeodato; Germano C. Vasconcelos; Adrian L. Arnaud; Rodrigo C. L. V. Cunha; Domingos S. M. P. Monteiro; Rosalvo F. Oliveira Neto (Strategic Advancements in Utilizing Data Mining and Warehousing Technologies, 2010)

Fat Tailed Distribution of Neural Networks Forecasting. - Domingos S. P. Salazar; Maíra de O. Santos; Adrian L. Arnaud; Paulo J. L. Adeodato (DMIN, 2010)

An Approach for Learning from Small and Unbalanced Data Sets Using Gaussian Noise During Artificial Neural Network Training. - Icamaan Viegas; Paulo J. L. Adeodato (DMIN, 2010)

Domain Driven Data Mining for Unavailability Estimation of Electrical Power Grids. - Paulo J. L. Adeodato; Petrônio L. Braga; Adrian L. Arnaud; Germano C. Vasconcelos; Frederico Guedes; Hélio B. Menezes; Giorgio O. Limeira (IEA/AIE (2), 2010)

pRAM n-tuple Classifier - a new architecture of probabilistic RAM neurons for classification problems. - Paulo J. L. Adeodato; Rosalvo F. O. Neto (IJCNN, 2010)

Improving reinforcement learning algorithms by the use of data mining techniques for feature and action selection. - Davi C. de L. Vieira; Paulo J. L. Adeodato; Paulo M. Goncalves (SMC, 2010)

PCA and Gaussian noise in MLP neural network training improve generalization in problems with small and unbalanced data sets. - Icamaan B. Viegas da Silva; Paulo J. L. Adeodato (IJCNN, 2011)

Predicting software defects: A cost-sensitive approach. - Miguel E. R. Bezerra; Adriano L. I. Oliveira; Paulo J. L. Adeodato (SMC, 2011)

Data transformations and seasonality adjustments improve forecasts of MLP ensembles. - Domingos S. P. Salazar; Paulo J. L. Adeodato; Adrian L. Arnaud (EAIS, 2012)

A data mining approach for preventing undergraduate students retention. - Hadautho Roberto Barros da Silva; Paulo Jorge Leitão Adeodato (IJCNN, 2012)

Estudo Comparativo entre Proposicionalização e Mineração de Dados Multidimensional sobre um Banco de Dados Relacional. - Rosalvo F. O. Neto; Paulo Jorge Leitão Adeodato; Ana Carolina Salgado; Murilo Boratto (SBBD (Short Papers), 2012)

Evaluation of the use of computational intelligence techniques in medical claim processes of a health insurance company. - Flávio H. D. Araújo; Lailson B. Moraes; André M. Santana; Pedro de A. Santos Neto; Paulo J. L. Adeodato; Érico Leão (CBMS, 2013)

A Temporal Difference GNG-Based Algorithm That Can Learn to Control in Reinforcement Learning Environments. - Davi C. de L. Vieira; Paulo J. L. Adeodato; Paulo M. Goncalves Junior (ICMLA (1), 2013)

A Temporal Difference GNG-Based Approach for the State Space Quantization in Reinforcement Learning Environments. - Davi Carnauba de Lima Vieira; Paulo Jorge Leitão Adeodato; Paulo M. Goncalves (ICTAI, 2013)

Continuous variables segmentation and reordering for optimal performance on binary classification tasks. - Paulo J. L. Adeodato; Domingos S. P. Salazar; Lucas S. Gallindo; Abner G. Sa; Starch Melo de Souza (IJCNN, 2014)

CoMoVi: a Framework for Data Transformation in Credit Behavioral Scoring Applications Using Model Driven Architecture. - Rosalvo F. O. Neto; Paulo J. L. Adeodato; Ana Carolina Salgado; Dailton Rodrigues de Carvalho Filho; Genival Rocha Machado (SEKE, 2014)

Continuous Dynamical Combination of Short and Long-Term Forecasts for Nonstationary Time Series. - Domingos Savio Pereira Salazar; Paulo Jorge Leitão Adeodato; Adrian Lucena Arnaud (IEEE Trans. Neural Networks Learn. Syst., 2014)

Variable Transformation for Granularity Change in Hierarchical Databases in Actual Data Mining Solutions. - Paulo J. L. Adeodato (IDEAL, 2015)

Polynomial approximation RAM neuron capable of handling true continuous input variables. - Paulo J. L. Adeodato; Rosalvo F. Oliveira Neto (IJCNN, 2016)

Equivalência entre a Área sob a Curva Kolmogorov-Smirnov e o Índice de Gini na Avaliação de Desempenho de Decisões Binárias. - Paulo J. L. Adeodato; Sílvio B. Melo (SBBD, 2016)

On the equivalence between Kolmogorov-Smirnov and ROC curve metrics for binary classification. - Paulo J. L. Adeodato; Sílvio B. Melo (CoRR, 2016)

Optimal Categorical Attribute Transformation for Granularity Change in Relational Databases for Binary Decision Problems in Educational Data Mining. - Paulo J. L. Adeodato; Fábio C. Pereira; Rosalvo F. Oliveira Neto (CoRR, 2017)

A framework for data transformation in Credit Behavioral Scoring applications based on Model Driven Development. - Rosalvo F. O. Neto; Paulo Jorge Leitão Adeodato; Ana Carolina Salgado (Expert Syst. Appl., 2017)

Data Mining Solution for Assessing the Secondary School Students of Brazilian Federal Institutes. - Rogério L. C. Silva Filho; Paulo J. L. Adeodato (BRACIS, 2019)

Where to aim? Factors that influence the performance of Brazilian secondary schools. - Paulo J. L. Adeodato; Rogerio Luiz C. S. Filho (EDM, 2020)

Predicting Brazilian and U.S. Elections with Machine Learning and Social Media Data. - Kellyton dos Santos Brito; Paulo Jorge Leitão Adeodato (IJCNN, 2020)

Interpreting Classification Models Using Feature Importance Based on Marginal Local Effects. - Rogério Luiz Cardoso Silva Filho; Paulo Jorge Leitão Adeodato; Kellyton dos Santos Brito (BRACIS (1), 2021)

Correlations of social media performance and electoral results in Brazilian presidential elections. - Kellyton dos Santos Brito; Silvio Romero de Lemos Meira; Paulo Jorge Leitão Adeodato (Inf. Polity, 2021)

A Systematic Review of Predicting Elections Based on Social Media Data: Research Challenges and Future Directions. - Kellyton dos Santos Brito; Rogério Luiz Cardoso Silva Filho; Paulo Jorge Leitão Adeodato (IEEE Trans. Comput. Soc. Syst., 2021)

PAN RAM Bootstrapping Regressor - A New RAM-Based Architecture for Regression Problems. - Starch Melo de Souza; Kelly Pereira de Lima; Anthony José da Cunha Carneiro Lins; Adriano Fabio Querino de Brito; Paulo J. L. Adeodato (BRACIS (2), 2022)

Please stop trying to predict elections only with Twitter. - Kellyton Brito; Rogério Luiz Cardoso Silva Filho; Paulo J. L. Adeodato (DG.O, 2022)

Using data mining over open data for a longitudinal assessment of municipal public education in Brazil. - Arthur Scanoni; Rogério L. C. Silva Filho; Paulo J. L. Adeodato; Kellyton Brito (EGOV-CeDEM-ePart-*, 2022)

Kolmogorov-Smirnov and ROC curve metrics for binary classification performance assessment are equivalent. - Paulo J. L. Adeodato; Sílvio B. Melo (ICPR, 2022)

A geometric proof of the equivalence between AUC_ROC and Gini index area metrics for binary classifier performance assessment. - Paulo J. L. Adeodato; Sílvio B. Melo (IJCNN, 2022)

Measuring the performances of politicians on social media and the correlation with major Latin American election results. - Kellyton Brito; Paulo Jorge Leitão Adeodato (Gov. Inf. Q., 2022)

Machine learning for predicting elections in Latin America based on social media engagement and polls. - Kellyton Brito; Paulo Jorge Leitão Adeodato (Gov. Inf. Q., 2023)

A data mining framework for reporting trends in the predictive contribution of factors related to educational achievement. - Rogério Luiz Cardoso Silva Filho; Kellyton Brito; Paulo Jorge Leitão Adeodato (Expert Syst. Appl., 2023)

Stop trying to predict elections only with twitter - There are other data sources and technical issues to be improved. - Kellyton Brito; Rogério Luiz Cardoso Silva Filho; Paulo Jorge Leitão Adeodato (Gov. Inf. Q., 2024)