Flávio Miguel Varejão

According to our database1, Flávio Miguel Varejão authored at least 48 papers between 2000 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
NP-Hardness of minimum expected coverage.
Pattern Recognit. Lett., 2019

Sampling approaches for applying DBSCAN to large datasets.
Pattern Recognit. Lett., 2019

Reducing power companies billing costs via empirical bayes and seasonality remover.
Eng. Appl. Artif. Intell., 2019

2018
Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps.
Integrated Computer-Aided Engineering, 2018

A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Electricity Readers Routing Based on Clustering and Communities Detection.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

2017
Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process.
Neurocomputing, 2017

Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Soft computing classifier ensemble for fault diagnosis.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Monthly energy consumption forecast: A deep learning approach.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Heterogeneous feature models and feature selection applied to detection of street lighting lamps types and wattages.
Proceedings of the IECON 2016, 2016

Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

A Genetic Algorithm Approach for Clustering Large Data Sets.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Decision template multi-label classification based on recursive dependent binary relevance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A shuffled complex evolution algorithm for the multidimensional knapsack problem using core concept.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis.
IEEE Trans. Industrial Electronics, 2015

Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

Single Sequence Fast Feature Selection for High-Dimensional Data.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Genetic Sampling k-means for Clustering Large Data Sets.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

A Shuffled Complex Evolution Algorithm For the Multidimensional Knapsack Problem.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014
Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions.
Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Recursive Dependent Binary Relevance Model for Multi-label Classification.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

Performance evaluation of a sensor-based system devised to minimize commercial losses in street lighting networks.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2014

Multi-label Fault Classification Experiments in a Chemical Process.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Optimization metaheuristics for minimizing variance in a real-world statistical application.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Automatic diagnosis of submersible motor pump conditions in offshore oil exploration.
Proceedings of the IECON 2013, 2013

Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

Feature models and condition visualization for rotating machinery fault diagnosis.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

Automated image recognition of public lighting luminaries.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

Using GA for the stratified sampling of electricity consumers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network.
Proceedings of the Computer Analysis of Images and Patterns, 2013

2012
Kernel enhanced multilayer perceptron for industrial process diagnosis.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles.
Integrated Computer-Aided Engineering, 2011

Robustifying the Scrum Agile Methodology for the Development of Complex, Critical and Fast-changing Enterprise Software.
Proceedings of the ENASE 2011, 2011

2010
A Comparison of Two Feature-Based Ensemble Methods for Constructing Motor Pump Fault Diagnosis Classifiers.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

An Overproduce-and-Choose Strategy to Create Classifier Ensembles with Tuned SVM Parameters Applied to Real-World Fault Diagnosis.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009
Novel Approaches for Detecting Frauds in Energy Consumption.
Proceedings of the Third International Conference on Network and System Security, 2009

Rolling element bearing fault diagnosis in rotating machines of oil extraction rigs.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
K-Means Initialization Methods for Improving Clustering by Simulated Annealing.
Proceedings of the Advances in Artificial Intelligence, 2008

A Multi-measure Nearest Neighbor Algorithm for Time Series Classification.
Proceedings of the Advances in Artificial Intelligence, 2008

2002
An Expert System Application for Improving Results in a Handwritten Form Recognition System.
Proceedings of the Developments in Applied Artificial Intelligence, 2002

Multi-agent Systems and Network Management - A Positive Experience on Unix Environments.
Proceedings of the Advances in Artificial Intelligence, 2002

2000
Uso de Relacionamentos Semânticos para Auxiliar o Reconhecimento da Informação Manuscrita em Formulários.
Proceedings of the International Joint Conference, 2000

Compiling Default Theory int Extended Logic Programming.
Proceedings of the Advances in Artificial Intelligence, 2000

HyperADD: An Incremental and Hybrid Approach for Knowledge Acquisition on Active Design Documents.
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000

Towards an Ontological Framework for Knowledge-Based Design Systems.
Proceedings of the Artificial Intelligence in Design '00, 2000


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