Traffic Generators for TMN simulation. - Paulo José de Freitas Filho; Marcelo Maia Sobral (ESM, 2000)

Development of a template for telecommunications management networks simulation a tool for performance evaluation. - Paulo José de Freitas Filho; Edson Tirelli (ESM, 2000)

Risk assessment of drilling and completion operations in petroleum wells using a Monte Carlo and a neural network approach. - Dennis Kerr Coelho; Mauro Roisenberg; Paulo José de Freitas Filho; Carlos Magno Couto Jacinto (WSC, 2005)

Recognition of continuous probability models. - Marcelo Tenório; Silvia Nassar; Paulo José de Freitas Filho; Carlos Magno (WSC, 2005)

An Experimental Study on Software Aging and Rejuvenation in Web Servers. - Rivalino Matias; Paulo José de Freitas Filho (COMPSAC (1), 2006)

Using copulas in risk analysis. - Dalton F. Andrade; Pedro Alberto Barbetta; Paulo José de Freitas Filho; Ney A. de Mello Zunino; Carlos Magno Couto Jacinto (WSC, 2006)

Risk analysis using Monte Carlo simulation and Bayesian networks. - Cláudio Flores; Fernando Makiyama; Silvia Nassar; Paulo José de Freitas Filho; Carlos M. C. Jacinto (WSC, 2006)

Using simulation to predict market behavior for outbound call centers. - Paulo José de Freitas Filho; Geovani Ferreira da Cruz; Rui Seara; Guilherme Steinmann (WSC, 2007)

Comparison of Call Center Models. - Luiz Augusto Gago Franzese; Marcelo Moretti Fioroni; Paulo José de Freitas Filho; Rui Carlos Botter (WSC, 2009)

Dynamic-fuzzy Simulation Model for Reproduction of Mortality Curves. - Andréia Alves dos Santos Schwaab; Paulo José de Freitas Filho (WSC, 2009)

Accelerated Degradation Tests Applied to Software Aging Experiments. - Rivalino Matias; Pedro Alberto Barbetta; Kishor S. Trivedi; Paulo José de Freitas Filho (IEEE Trans. Reliab., 2010)

Dynamic mortality simulation model incorporating risk indicators for cardiovascular diseases. - Jocimara S. Ferranti; Paulo José de Freitas Filho (WSC, 2011)

Using simulation to evaluate call forecasting algorithms for inbound call center. - Guilherme Steinmann; Paulo José de Freitas Filho (WSC, 2013)

Generating interpretable Mamdani-type fuzzy rules using a neuro-fuzzy system based on radial basis functions. - Diego G. Rodrigues; Gabriel Moura; Carlos Magno Couto Jacinto; Paulo José de Freitas Filho; Mauro Roisenberg (FUZZ-IEEE, 2014)

Modeling and simulation applied to capacity planning of voice gateways: a case study. - Muriel Ribeiro Alves; Rivalino Matias Jr.; Paulo José de Freitas Filho (WSC, 2014)

Heuristic discretization method for Bayesian Networks. - Mariana D. C. Lima; Silvia M. Nassar; Pedro Ivo R. B. G. Rodrigues; Paulo José de Freitas Filho; Carlos M. C. Jacinto (J. Comput. Sci., 2014)

E-HIPS: An Extention of the Framework HIPS for Stagger of Distributed Process in Production Systems Based on Multiagent Systems and Memetic Algorithms. - Arnoldo Uber Junior; Paulo José de Freitas Filho; Ricardo Azambuja Silveira (MICAI (1), 2015)

Estimation of Bourgoyne and young model coefficients using Markov Chain Monte Carlo simulation. - Sanjay Formighieri; Paulo José de Freitas Filho (WSC, 2015)

Simulation of oil drilling time series using monte carlo and bayesian networks. - Mariana Dehon Costa e Lima; Silvia Modesto Nassar; Paulo José de Freitas Filho (WSC, 2015)

Simulation of crowd behavior using fuzzy social force model. - Altieres Del Sent; Mauro Roisenberg; Paulo José de Freitas Filho (WSC, 2015)

Automatic Methods for Generation of Type-1 and Interval Type-2 Fuzzy Membership Functions. - Andréia Alves dos Santos Schwaab; Silvia Modesto Nassar; Paulo José de Freitas Filho (J. Comput. Sci., 2015)

Automatic Generation of Type-1 and Interval Type-2 Membership Functions for Prediction of Time Series Data. - Andréia Alves dos Santos Schwaab; Silvia Modesto Nassar; Paulo José de Freitas Filho (IBERAMIA, 2016)

iEnsemble: A Framework for Committee Machine Based on Multiagent Systems with Reinforcement Learning. - Arnoldo Uber Junior; Paulo José de Freitas Filho; Ricardo Azambuja Silveira; Mariana Dehon Costa e Lima; Rodolfo Wilvert Reitz (MICAI (2), 2016)

INFGMN - Incremental Neuro-Fuzzy Gaussian mixture network. - Tiago Mazzutti; Mauro Roisenberg; Paulo José de Freitas Filho (Expert Syst. Appl., 2017)

iEnsemble2: Committee Machine Model-Based on Heuristically-Accelerated Multiagent Reinforcement Learning. - Arnoldo Uber Junior; Paulo José de Freitas Filho; Ricardo Azambuja Silveira; Juliano Mueloschat (CISIS, 2018)

Adaptive Missing Data Imputation with Incremental Neuro-Fuzzy Gaussian Mixture Network (INFGMN). - Tiago Mazzutti; Mauro Roisenberg; Paulo José de Freitas Filho (IJCNN, 2018)

Real-Time Simulation Method Using Monte Carlo and Clustering Algorithms: A Case Study Covering Drill Bit Wear. - Rodolfo Wilvert Reitz; Paulo José de Freitas Filho (J. Comput. Sci., 2018)

MASDES-DWMV: Model for Dynamic Ensemble Selection Based on Multiagent System and Dynamic Weighted Majority Voting. - Arnoldo Uber Junior; Ricardo Azambuja Silveira; Paulo José de Freitas Filho; Julio Cezar Uzinski; Reinaldo Augusto da Costa Bianchi (MICAI (2), 2020)

An application study case tradeoff between throughput and latency on fog-cloud cooperation. - Mario A. R. Dantas; Paulo Eduardo Bogoni; Paulo José de Freitas Filho (Int. J. Netw. Virtual Organisations, 2020)