Flávio Miguel Varejão

发表

Feature models and condition visualization for rotating machinery fault diagnosis

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, 2013, 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS).

Uso de Relacionamentos Semânticos para Auxiliar o Reconhecimento da Informação Manuscrita em Formulários

Thomas W. Rauber, Flávio Miguel Varejão, Silvana Rossetto, 2000, IBERAMIA-SBIA 2000 Open Discussion Track.

Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, 2013, 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS).

Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis

Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Using GA for the stratified sampling of electricity consumers

Flávio Miguel Varejão, E. de O. da Costa, Fábio Fabris, 2013, 2013 IEEE Congress on Evolutionary Computation.

Genetic Sampling k-means for Clustering Large Data Sets

Flávio Miguel Varejão, Alexandre Rodrigues Loureiros, Diego Luchi, 2015, CIARP.

Automatic diagnosis of submersible motor pump conditions in offshore oil exploration

Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

Compiling Default Theory int Extended Logic Programming

José Gabriel Pereira Lopes, Flávio Miguel Varejão, Berilhes Borges Garcia, 2000, IBERAMIA-SBIA.

Reducing power companies billing costs via empirical bayes and seasonality remover

Vítor Estêvão Silva Souza, Flávio Miguel Varejão, Thiago Oliveira-Santos, 2019, Eng. Appl. Artif. Intell..

On the Use of Light Sensors and Pattern Recognition Techniques for Automated Detection of Street Lighting Lamps

Guilherme M. Soares, Flávio Miguel Varejão, Eduardo Teixeira, 2015 .

Electricity Readers Routing Based on Clustering and Communities Detection

Flávio Miguel Varejão, Lucas Martinuzzo Batista, Diego Lucchil, 2018, 2018 IEEE 16th International Conference on Industrial Informatics (INDIN).

Single Sequence Fast Feature Selection for High-Dimensional Data

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps

Vítor Estêvão Silva Souza, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, 2018, 2018 IEEE 16th International Conference on Industrial Informatics (INDIN).

Automated image recognition of public lighting luminaries

Flávio Miguel Varejão, José Gonçalves Pereira Filho, R. S. Broetto, 2013, 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS).

Novel Approaches for Detecting Frauds in Energy Consumption

Flávio Miguel Varejão, Fábio Fabris, Leticia Rosetti Margoto, 2009, 2009 Third International Conference on Network and System Security.

Optimization metaheuristics for minimizing variance in a real-world statistical application

Flávio Miguel Varejão, Fábio Fabris, Alexandre Rodrigues Loureiros, 2013, SAC '13.

A Multi-measure Nearest Neighbor Algorithm for Time Series Classification

Flávio Miguel Varejão, Idilio Drago, Fábio Fabris, 2008, IBERAMIA.

Decision template multi-label classification based on recursive dependent binary relevance

Thomas W. Rauber, Flávio Miguel Varejão, Victor F. Rocha, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Kernel enhanced multilayer perceptron for industrial process diagnosis

Thomas W. Rauber, Flávio Miguel Varejão, Lucas H. Sousa Mello, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

An Expert System Application for Improving Results in a Handwritten Form Recognition System

Thomas W. Rauber, Flávio Miguel Varejão, Silvana Rossetto, 2002, IEA/AIE.

Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

A Shuffled Complex Evolution Algorithm For the Multidimensional Knapsack Problem

Flávio Miguel Varejão, Marcos Daniel Valadão Baroni, 2015, CIARP.

Performance evaluation of a sensor-based system devised to minimize commercial losses in street lighting networks

Henrique A. C. Braga, Flávio Miguel Varejão, Guilherme Marcio Soares, 2014, 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

Soft computing classifier ensemble for fault diagnosis

Flávio Miguel Varejão, Jeferson de Oliveira Batista, Rodrigo Biancardi Rodrigues, 2017, 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE).

Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump

Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, 2017, 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE).

Towards an Ontological Framework for Knowledge-Based Design Systems

Clarisse Sieckenius de Souza, Ana Cristina Bicharra Garcia, Markus P. J. Fromherz, 2000, AID.

A Genetic Algorithm Approach for Clustering Large Data Sets

Flávio Miguel Varejão, Alexandre Rodrigues Loureiros, Diego Luchi, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

NP-Hardness of minimum expected coverage

Thomas W. Rauber, Flávio Miguel Varejão, Lucas Henrique Sousa Mello, 2019, Pattern Recognit. Lett..

Heterogeneous feature models and feature selection applied to detection of street lighting lamps types and wattages

Flávio Miguel Varejão, Raphael Santos Broetto, 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.

Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps

Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, 2018, Integr. Comput. Aided Eng..

Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, 2015, IEEE Transactions on Industrial Electronics.

Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, 2017, Neurocomputing.

Coevolutive clustering algorithm for large datasets

Flávio Miguel Varejão, Fábio Fabris, Diego Luchi, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Automatic speech recognition, with large vocabulary, robustness, independence of speaker and multilingual processing

Flávio Miguel Varejão, Thomas W. Rauber, Carlos Alberto Ynoguti, 2011 .

An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals

Francisco de Assis Boldt, Flávio Miguel Varejão, Thomas W. Rauber, 2020, Expert Syst. Appl..

Controle de Conflitos em Documentos Ativos Multiagentes

Flávio Miguel Varejão, Rodrigo Laiola Guimarães, Fernando Ferrari, 2005 .

Multi-agent Systems and Network Management - A Positive Experience on Unix Environments

Flávio Miguel Varejão, Orivaldo de Lira Tavares, Nelson dos Santos, 2002, IBERAMIA.

Rolling element bearing fault diagnosis in rotating machines of oil extraction rigs

Thomas W. Rauber, Flávio Miguel Varejão, Eduardo Mendel, 2009, 2009 17th European Signal Processing Conference.

Monthly energy consumption forecast: A deep learning approach

Flávio Miguel Varejão, Rodrigo Ferreira Berriel, Thiago Oliveira-Santos, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Recursive Dependent Binary Relevance Model for Multi-label Classification

Thomas W. Rauber, Flávio Miguel Varejão, Diego Luchi, 2014, IBERAMIA.

Fault Diagnosis of Oil Rig Motor Pumps using Techniques of Feature Extraction, Selection and Combination

Thomas W. Rauber, Flávio Miguel Varejão, Eduardo Mendel, 2011 .

A shuffled complex evolution algorithm for the multidimensional knapsack problem using core concept

Flávio Miguel Varejão, Marcos Daniel Valadão Baroni, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Pattern Recognition based Fault Diagnosis in Industrial Processes: Review and Application

Thomas W. Rauber, Flávio Miguel Varejão, Estefhan Dazzi Wandekokem, 2010 .

Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods

Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, 2014, 2014 12th IEEE International Conference on Industrial Informatics (INDIN).

K-Means Initialization Methods for Improving Clustering by Simulated Annealing

Flávio Miguel Varejão, Estefhan Dazzi Wandekokem, Gabriela Trazzi Perim, 2008, IBERAMIA.

Support Vector Machine Ensemble Based on Feature and Hyperparameter Variation for Real-World Machine Fault Diagnosis

Thomas W. Rauber, Flávio Miguel Varejão, Rodrigo J. Batista, 2011 .

Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).

A methodology to refine the technical losses calculation from estimates of non-technical losses

Giovanni Comarela, Flávio Miguel Varejão, F. M. Varejão, 2009 .

Robustifying the Scrum Agile Methodology for the Development of Complex, Critical and Fast-changing Enterprise Software

Flávio Miguel Varejão, Marcos Vescovi, Vagner Cordeiro, 2011, ENASE.

An Overproduce-and-Choose Strategy to Create Classifier Ensembles with Tuned SVM Parameters Applied to Real-World Fault Diagnosis

Thomas W. Rauber, Flávio Miguel Varejão, Estefhan Dazzi Wandekokem, 2010, CIARP.

HyperADD: An Incremental and Hybrid Approach for Knowledge Acquisition on Active Design Documents

Ana Cristina Bicharra Garcia, Flávio Miguel Varejão, F. M. Varejão, 2000, FLAIRS.

Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network

Thomas W. Rauber, Flávio Miguel Varejão, F. M. Varejão, 2013, CAIP.

A fast feature selection algorithm applied to automatic faults diagnosis of rotating machinery

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, 2013 .

Sampling approaches for applying DBSCAN to large datasets

Flávio Miguel Varejão, Diego Luchi, F. M. Varejão, 2019, Pattern Recognit. Lett..

Metric Learning for Electrical Submersible Pump Fault Diagnosis

Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Alexandre Rodrigues Loureiros, 2020, IJCNN.

Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles

Thomas W. Rauber, Flávio Miguel Varejão, Fábio Fabris, 2011, Integr. Comput. Aided Eng..

Multi-label Fault Classification Experiments in a Chemical Process

Thomas W. Rauber, Flávio Miguel Varejão, Victor F. Rocha, 2014, 2014 Brazilian Conference on Intelligent Systems.

A Comparison of Two Feature-Based Ensemble Methods for Constructing Motor Pump Fault Diagnosis Classifiers

Thomas W. Rauber, Flávio Miguel Varejão, Fábio Fabris, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

Hyperparameter Tuning and Feature Selection for Improving Flow Instability Detection in Offshore Oil Wells

Flávio Miguel Varejão, Ricardo Menezes Salgado, Bruno Guilherme Carvalho, 2021, 2021 IEEE 19th International Conference on Industrial Informatics (INDIN).

BIRCHSCAN: A sampling method for applying DBSCAN to large datasets

Flávio Miguel Varejão, Diego Luchi, F. M. Varejão, 2021, Expert Syst. Appl..

Flow Instability Detection in Offshore Oil Wells with Multivariate Time Series Machine Learning Classifiers

Flávio Miguel Varejão, Ricardo Menezes Salgado, F. M. Varejão, 2021, 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE).

One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps

Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, 2021, 2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

HYBRID GENETIC ALGORITHM APPLIED TO THE CLUSTERING PROBLEM

Flávio Miguel Varejão, F. M. Varejão, Danuza Prado de Faria, 2012 .