Paulo José de Freitas Filho

发表

E-HIPS: An Extention of the Framework HIPS for Stagger of Distributed Process in Production Systems Based on Multiagent Systems and Memetic Algorithms

Ricardo Azambuja Silveira, Arnoldo Uber Junior, Paulo José de Freitas Filho, 2015, MICAI.

An Experimental Study on Software Aging and Rejuvenation in Web Servers

Rivalino Matias, Paulo José de Freitas Filho, Rivalino Matias, 2006, 30th Annual International Computer Software and Applications Conference (COMPSAC'06).

Automatic Generation of Type-1 and Interval Type-2 Membership Functions for Prediction of Time Series Data

Paulo José de Freitas Filho, Andréia Alves dos Santos Schwaab, Silvia M. Nassar, 2016, IBERAMIA.

Using simulation to evaluate call forecasting algorithms for inbound call center

Paulo José de Freitas Filho, Guilherme Steinmann, 2013, 2013 Winter Simulations Conference (WSC).

Real-Time Simulation Method Using Monte Carlo and Clustering Algorithms: A Case Study Covering Drill Bit Wear

Paulo José de Freitas Filho, Rodolfo Wilvert Reitz, 2018, J. Comput. Sci..

Automatic Methods for Generation of Type-1 and Interval Type-2 Fuzzy Membership Functions

Paulo José de Freitas Filho, Andréia Alves dos Santos Schwaab, Silvia M. Nassar, 2015, J. Comput. Sci..

Development of a template for telecommunications management networks simulation a tool for performance evaluation

Paulo José de Freitas Filho, Edson Tirelli, 2000, ESM.

Risk Analysis using Monte Carlo Simulation and Bayesian Networks

Paulo José de Freitas Filho, Cláudio Flores, Fernando Makiyama, 2006, Proceedings of the 2006 Winter Simulation Conference.

Simulation of crowd behavior using Fuzzy Social Force Model

Mauro Roisenberg, Paulo José de Freitas Filho, Altieres Del Sent, 2015, 2015 Winter Simulation Conference (WSC).

A NEURAL NETWORK ARCHITECTURE FOR PROCESS TIME ESTIMATION - AN APPLICATION IN PETROLEUM WELLS OPERATIONS

Mauro Roisenberg, Carlos Magno Couto Jacinto, Paulo José de Freitas Filho, 2006 .

Generating interpretable Mamdani-type fuzzy rules using a neuro-fuzzy system based on radial basis functions

Mauro Roisenberg, Carlos Magno Couto Jacinto, Paulo José de Freitas Filho, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

An application study case tradeoff between throughput and latency on fog-cloud cooperation

Mario A. R. Dantas, Paulo José de Freitas Filho, Paulo Eduardo Bogoni, 2020, Int. J. Netw. Virtual Organisations.

Using Copulas in Risk Analysis

Carlos Magno Couto Jacinto, Paulo José de Freitas Filho, Pedro Alberto Barbetta, 2006, Proceedings of the 2006 Winter Simulation Conference.

Modeling and simulation applied to capacity planning of voice gateways: a case study

Muriel Ribeiro Alves, Rivalino Matias, Paulo José de Freitas Filho, 2014, WSC '14.

Estimation of Bourgoyne and Young Model coefficients using Markov Chain Monte Carlo simulation

Paulo José de Freitas Filho, Sanjay Formighieri, P. Filho, 2015, 2015 Winter Simulation Conference (WSC).

Dynamic-fuzzy simulation model for reproduction of mortality curves

Paulo José de Freitas Filho, Andréia Alves dos Santos Schwaab, P. Filho, 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

Heuristic discretization method for Bayesian Networks

Paulo José de Freitas Filho, Silvia M. Nassar, Carlos M. C. Jacinto, 2014, J. Comput. Sci..

Núcleo multithreaded para agentes de gerenciamento osi: implementação e avaliação de desempenho

Elizabeth Sueli Specialski, Paulo José de Freitas Filho, Rivalino Matias Junior, 1997 .

MASDES-DWMV: Model for Dynamic Ensemble Selection Based on Multiagent System and Dynamic Weighted Majority Voting

Ricardo Azambuja Silveira, Arnoldo Uber Junior, Reinaldo Augusto da Costa Bianchi, 2020, MICAI.

iEnsemble: A Framework for Committee Machine Based on Multiagent Systems with Reinforcement Learning

Ricardo Azambuja Silveira, Arnoldo Uber Junior, Paulo José de Freitas Filho, 2016, MICAI.

iEnsemble2: Committee Machine Model-Based on Heuristically-Accelerated Multiagent Reinforcement Learning

Ricardo Azambuja Silveira, Arnoldo Uber Junior, Paulo José de Freitas Filho, 2018, CISIS.

Simulation of oil drilling time series using Monte Carlo and Bayesian Networks

Paulo José de Freitas Filho, Silvia M. Nassar, Mariana Dehon Costa e Lima, 2015, 2015 Winter Simulation Conference (WSC).

Comparison of Call Center models

Rui Carlos Botter, Marcelo Moretti Fioroni, Luiz Augusto Gago Franzese, 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

Risk assessment of drilling and completion operations in petroleum wells using a Monte Carlo and a neural network approach

Mauro Roisenberg, Carlos Magno Couto Jacinto, Paulo José de Freitas Filho, 2005, Proceedings of the Winter Simulation Conference, 2005..

INFGMN - Incremental Neuro-Fuzzy Gaussian mixture network

Mauro Roisenberg, Paulo José de Freitas Filho, Tiago Mazzutti, 2017, Expert Syst. Appl..

Using simulation to predict market behavior for outbound call centers

Rui Seara, Paulo José de Freitas Filho, Guilherme Steinmann, 2007, 2007 Winter Simulation Conference.

Traffic Generators for TMN simulation

Paulo José de Freitas Filho, Marcelo Maia Sobral, 2000, ESM.

Using a network management system (NMS) as an integrated environment for the capacity planning task

Elizabeth Sueli Specialski, Paulo José de Freitas Filho, Matias Júnior Rivalino, 1998 .

Recognition of continuous probability models

Paulo José de Freitas Filho, Silvia Nassar, Carlos Magno, 2005, Proceedings of the Winter Simulation Conference, 2005..

Accelerated Degradation Tests Applied to Software Aging Experiments

Kishor S. Trivedi, Rivalino Matias, Paulo José de Freitas Filho, 2010, IEEE Transactions on Reliability.

Dynamic mortality simulation model incorporating risk indicators for cardiovascular diseases

Paulo José de Freitas Filho, Jocimara S. Ferranti, P. Filho, 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).

Adaptive Missing Data Imputation with Incremental Neuro-Fuzzy Gaussian Mixture Network (INFGMN)

Mauro Roisenberg, Paulo José de Freitas Filho, Tiago Mazzutti, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).