Towards an Ontological Framework for Knowledge-Based Design Systems. - Flávio Miguel Varejão; Crediné Silva de Menezes; Ana Cristina Bicharra Garcia; Clarisse S. de Souza; Markus P. J. Fromherz (AID, 2000)

HyperADD: An Incremental and Hybrid Approach for Knowledge Acquisition on Active Design Documents. - Sandro Coimbra Assis; Flávio Miguel Varejão; Ana Cristina Bicharra Garcia (FLAIRS, 2000)

Compiling Default Theory int Extended Logic Programming. - Berilhes Borges Garcia; José Gabriel Pereira Lopes; Flávio Miguel Varejão (IBERAMIA-SBIA, 2000)

Uso de Relacionamentos Semânticos para Auxiliar o Reconhecimento da Informação Manuscrita em Formulários. - Silvana Rossetto; Flávio Miguel Varejão; Thomas W. Rauber (IBERAMIA-SBIA 2000 Open Discussion Track, 2000)

Multi-agent Systems and Network Management - A Positive Experience on Unix Environments. - Nelson dos Santos; Flávio Miguel Varejão; Orivaldo de Lira Tavares (IBERAMIA, 2002)

An Expert System Application for Improving Results in a Handwritten Form Recognition System. - Silvana Rossetto; Flávio Miguel Varejão; Thomas W. Rauber (IEA/AIE, 2002)

A Multi-measure Nearest Neighbor Algorithm for Time Series Classification. - Fábio Fabris; Idilio Drago; Flávio Miguel Varejão (IBERAMIA, 2008)

K-Means Initialization Methods for Improving Clustering by Simulated Annealing. - Gabriela Trazzi Perim; Estefhan Dazzi Wandekokem; Flávio Miguel Varejão (IBERAMIA, 2008)

Rolling element bearing fault diagnosis in rotating machines of oil extraction rigs. - Eduardo Mendel; Thomas W. Rauber; Flávio Miguel Varejão; Rodrigo J. Batista (EUSIPCO, 2009)

Novel Approaches for Detecting Frauds in Energy Consumption. - Fábio Fabris; Leticia Rosetti Margoto; Flávio Miguel Varejão (NSS, 2009)

An Overproduce-and-Choose Strategy to Create Classifier Ensembles with Tuned SVM Parameters Applied to Real-World Fault Diagnosis. - Estefhan Dazzi Wandekokem; Flávio Miguel Varejão; Thomas W. Rauber (CIARP, 2010)

A Comparison of Two Feature-Based Ensemble Methods for Constructing Motor Pump Fault Diagnosis Classifiers. - Marcelo V. de Oliveira; Estefhan Dazzi Wandekokem; Eduardo Mendel; Fábio Fabris; Flávio Miguel Varejão; Thomas W. Rauber; Rodgrigo Batista (ICTAI (1), 2010)

Robustifying the Scrum Agile Methodology for the Development of Complex, Critical and Fast-changing Enterprise Software. - Marcos Vescovi; Flávio Miguel Varejão; Vagner Cordeiro (ENASE, 2011)

Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles. - Estefhan Dazzi Wandekokem; Eduardo Mendel; Fábio Fabris; Marcelo Valentim; Rodrigo J. Batista; Flávio Miguel Varejão; Thomas W. Rauber (Integr. Comput. Aided Eng., 2011)

Kernel enhanced multilayer perceptron for industrial process diagnosis. - Lucas H. Sousa Mello; Flávio Miguel Varejão; Thomas W. Rauber (IJCNN, 2012)

Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network. - Thomas W. Rauber; Flávio Miguel Varejão (CAIP (1), 2013)

Using GA for the stratified sampling of electricity consumers. - E. de O. da Costa; Fábio Fabris; Alexandre Rodrigues Loureiros; Hannu Ahonen; Flávio Miguel Varejão; Rodrigo M. Ferro (IEEE Congress on Evolutionary Computation, 2013)

Automated image recognition of public lighting luminaries. - Raphael Santos Broetto; José Gonçalves Pereira Filho; Flávio Miguel Varejão; André Bernadi Candeia (ICECS, 2013)

Feature models and condition visualization for rotating machinery fault diagnosis. - Thomas W. Rauber; Francisco de Assis Boldt; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (ICECS, 2013)

Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration. - Thomas W. Rauber; Francisco de Assis Boldt; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (ICECS, 2013)

Detection of street lighting bulbs information to minimize commercial losses. - Guilherme Marcio Soares; Alcindo G. B. Almeida; Raphael M. Mendes; Estêvão Coelho Teixeira; Henrique A. C. Braga; Missael N. Machado; Raphael Santos Broetto; Murillo V. H. B. Castro; Helder O. Gomes Filho; Flávio Miguel Varejão; José Gonçalves Pereira Filho; André Bernadi Candeia; et al. (ICST, 2013)

Automatic diagnosis of submersible motor pump conditions in offshore oil exploration. - Thomas W. Rauber; Flávio Miguel Varejão; Fábio Fabris; Alexandre Rodrigues 001; Marcos Pellegrini Ribeiro (IECON, 2013)

Optimization metaheuristics for minimizing variance in a real-world statistical application. - Estevão Costa; Fábio Fabris; Alexandre Rodrigues Loureiros; Hannu Ahonen; Flávio Miguel Varejão (SAC, 2013)

Multi-label Fault Classification Experiments in a Chemical Process. - Thomas W. Rauber; Lucas H. Sousa Mello; Victor Freitas Rocha; Flávio Miguel Varejão (BRACIS, 2014)

Performance evaluation of a sensor-based system devised to minimize commercial losses in street lighting networks. - Guilherme Marcio Soares; Alcindo G. B. Almeida; Raphael M. Mendes; Estêvão Coelho Teixeira; Henrique A. C. Braga; Missael N. Machado; Raphael Santos Broetto; Murillo V. H. B. Castro; Helder O. Gomes Filho; Flávio Miguel Varejão; José Gonçalves Pereira Filho; André Bernadi Candeia; et al. (I2MTC, 2014)

Recursive Dependent Binary Relevance Model for Multi-label Classification. - Thomas W. Rauber; Lucas H. Sousa Mello; Victor Freitas Rocha; Diego Luchi; Flávio Miguel Varejão (IBERAMIA, 2014)

Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process. - Francisco de Assis Boldt; Thomas W. Rauber; Flávio Miguel Varejão (IECON, 2014)

Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions. - Francisco de Assis Boldt; Thomas W. Rauber; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (INDIN, 2014)

A Shuffled Complex Evolution Algorithm For the Multidimensional Knapsack Problem. - Marcos Daniel Valadão Baroni; Flávio Miguel Varejão (CIARP, 2015)

Genetic Sampling k-means for Clustering Large Data Sets. - Diego Luchi; Willian Santos; Alexandre Rodrigues Loureiros; Flávio Miguel Varejão (CIARP, 2015)

Single Sequence Fast Feature Selection for High-Dimensional Data. - Francisco de Assis Boldt; Thomas W. Rauber; Flávio Miguel Varejão (ICTAI, 2015)

Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals. - Francisco de Assis Boldt; Thomas W. Rauber; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (INDIN, 2015)

Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis. - Thomas W. Rauber; Francisco de Assis Boldt; Flávio Miguel Varejão (IEEE Trans. Ind. Electron., 2015)

A shuffled complex evolution algorithm for the multidimensional knapsack problem using core concept. - Marcos Daniel Valadão Baroni; Flávio Miguel Varejão (CEC, 2016)

Decision template multi-label classification based on recursive dependent binary relevance. - Thomas W. Rauber; Victor Freitas Rocha; Lucas H. Sousa Mello; Flávio Miguel Varejão (CEC, 2016)

A Genetic Algorithm Approach for Clustering Large Data Sets. - Diego Luchi; Alexandre Rodrigues Loureiros; Flávio Miguel Varejão; Willian Santos (ICTAI, 2016)

Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods. - Thiago Oliveira-Santos; Thomas W. Rauber; Flávio Miguel Varejão; Lucas Martinuzzo; Willian Oliveira; Marcos Pellegrini Ribeiro; Alexandre Rodrigues 001 (ICTAI, 2016)

Heterogeneous feature models and feature selection applied to detection of street lighting lamps types and wattages. - Raphael Santos Broetto; Flávio Miguel Varejão (IECON, 2016)

Monthly energy consumption forecast: A deep learning approach. - Rodrigo Ferreira Berriel; Andre Teixeira Lopes; Alexandre Rodrigues 001; Flávio Miguel Varejão; Thiago Oliveira-Santos (IJCNN, 2017)

Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis. - Thomas Walter Rauber; Thiago Oliveira-Santos; Francisco de Assis Boldt; Alexandre Rodrigues 001; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (IJCNN, 2017)

Soft computing classifier ensemble for fault diagnosis. - Jeferson de Oliveira Batista; Rodrigo Biancardi Rodrigues; Flávio Miguel Varejão (ISIE, 2017)

Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump. - Francisco de Assis Boldt; Thomas Walter Rauber; Thiago Oliveira-Santos; Alexandre Rodrigues 001; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (ISIE, 2017)

Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process. - Francisco de Assis Boldt; Thomas W. Rauber; Flávio Miguel Varejão (Neurocomputing, 2017)

Electricity Readers Routing Based on Clustering and Communities Detection. - Lucas Martinuzzo Batista; Diego Lucchil; Flávio Miguel Varejão; Alexandre Rodngues; Filipe Lima; Thiago Oliveira-Santos (INDIN, 2018)

A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps. - Gustavo Epichin Monjardim; Alexandre Rodrigues 001; Flávio Miguel Varejão; Vítor E. Silva Souza; Marcos Pellegrini Ribeiro (INDIN, 2018)

Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps. - Thiago Oliveira-Santos; Alexandre Rodrigues 001; Victor Freitas Rocha; Thomas W. Rauber; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (Integr. Comput. Aided Eng., 2018)

Reducing power companies billing costs via empirical bayes and seasonality remover. - Alexandre Rodrigues 001; Lucas Martinuzzo; Flávio Miguel Varejão; Vítor E. Silva Souza; Thiago Oliveira-Santos (Eng. Appl. Artif. Intell., 2019)

Sampling approaches for applying DBSCAN to large datasets. - Diego Luchi; Alexandre L. Rodrigues 001; Flávio Miguel Varejão (Pattern Recognit. Lett., 2019)

NP-Hardness of minimum expected coverage. - Lucas Henrique Sousa Mello; Flávio Miguel Varejão; Alexandre L. Rodrigues 001; Thomas W. Rauber (Pattern Recognit. Lett., 2019)

Coevolutive clustering algorithm for large datasets. - Fábio Fabris; Diego Luchi; Flávio Miguel Varejão (CEC, 2020)

Metric Learning for Electrical Submersible Pump Fault Diagnosis. - Lucas Henrique Sousa Mello; Marcos Pellegrini Ribeiro; Thiago Oliveira-Santos; Flávio Miguel Varejão; Alexandre Rodrigues Loureiros (IJCNN, 2020)

Hyperparameter Tuning and Feature Selection for Improving Flow Instability Detection in Offshore Oil Wells. - Bruno Guilherme Carvalho; Ricardo Emanuel Vaz Vargas; Ricardo Menezes Salgado; Celso José Munaro; Flávio Miguel Varejão (INDIN, 2021)

Flow Instability Detection in Offshore Oil Wells with Multivariate Time Series Machine Learning Classifiers. - Bruno Guilherme Carvalho; Ricardo Emanuel Vaz Vargas; Ricardo Menezes Salgado; Celso José Munaro; Flávio Miguel Varejão (ISIE, 2021)

One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps. - Gabriel Soares Baptista; Lucas Henrique Sousa Mello; Thiago Oliveira-Santos; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro; Alexandre Loureiros Rodrigues (SIBGRAPI, 2021)

An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals. - Thomas Walter Rauber; Antonio Luiz da Silva Loca; Francisco de Assis Boldt; Alexandre Loureiros Rodrigues; Flávio Miguel Varejão (Expert Syst. Appl., 2021)

BIRCHSCAN: A sampling method for applying DBSCAN to large datasets. - Igor de Moura Ventorim; Diego Luchi; Alexandre Loureiros Rodrigues; Flávio Miguel Varejão (Expert Syst. Appl., 2021)

Deep Learning Intelligent Fault Diagnosis of Electrical Submersible Pump Based on Raw Time Domain Vibration Signals. - Vitor Berger Bonella; Marcos Pellegrini Ribeiro; Lucas Henrique Sousa Mello; Thiago Oliveira-Santos; Alexandre Loureiros Rodrigues; Flávio Miguel Varejão (ISIE, 2022)

An experimental framework for evaluating loss minimization in multi-label classification via stochastic process. - Lucas Henrique Sousa Mello; Flávio Miguel Varejão; Alexandre Loureiros Rodrigues (Comput. Intell., 2022)

A Worst Case Analysis of Calibrated Label Ranking Multi-label Classification Method. - Lucas Henrique Sousa Mello; Flávio Miguel Varejão; Alexandre Loureiros Rodrigues (J. Mach. Learn. Res., 2022)

Ensemble of classifier chains and decision templates for multi-label classification. - Victor Freitas Rocha; Flávio Miguel Varejão; Marcelo Eduardo Vieira Segatto (Knowl. Inf. Syst., 2022)

Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis. - Luciano Henrique Peixoto da Silva; Lucas Henrique Sousa Mello; Alexandre Rodrigues 001; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro; Thiago Oliveira-Santos (Expert Syst. Appl., 2023)

Integrating Pretrained CNNs with One-Class Classifiers for Fault-Agnostic Electrical Submersible Pumps Anomaly Detection. - Nilo Garcia Monteiro; Luciano Henrique Peixoto da Silva; Alexandre Loureiros Rodrigues; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro; Thiago Oliveira-Santos (IJCNN, 2024)

An open source experimental framework and public dataset for vibration-based fault diagnosis of electrical submersible pumps used on offshore oil exploration. - Flávio Miguel Varejão; Lucas Henrique Sousa Mello; Marcos Pellegrini Ribeiro; Thiago Oliveira-Santos; Alexandre Rodrigues Loureiros (Knowl. Based Syst., 2024)

A transfer learning approach to image-based intelligent detection of street lighting lamp types and wattages. - Vitor Berger Bonella; Flávio Miguel Varejão (Eng. Appl. Artif. Intell., 2025)

Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring. - Mert Sehri; Igor Varejão; Zehui Hua; Vitor Berger Bonella; Adriano Santos; Francisco de Assis Boldt; Patrick Dumond; Flávio Miguel Varejão (CoRR, 2025)

Electrical submersible pump fault diagnosis based on 2D transformation of vibration signals and transfer learning of image classification networks. - Luciano Henrique Peixoto da Silva; Alexandre Rodrigues 001; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro; Thiago Oliveira-Santos (Neural Comput. Appl., 2025)

3W Dataset 2.0.0: a realistic and public dataset with rare undesirable real events in oil wells. - Ricardo Emanuel Vaz Vargas; Afrânio José de Melo Junior; Celso José Munaro; Cláudio Benevenuto de Campos Lima; Eduardo Toledo de Lima Junior; Felipe Muntzberg Barrocas; Flávio Miguel Varejão; Guilherme F. Peixer; Igor de Melo Nery Oliveira; Jader Barbosa Jr.; Jaime Andrés Lozano Cadena; Jean Carlos Dias de Araújo; et al. (CoRR, 2025)