| 2024 | IJCNN | 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, Flvio Miguel Varejo, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos |
| 2021 | INDIN | 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 Jos Munaro, Flvio Miguel Varejo |
| 2020 | CEC | Coevolutive clustering algorithm for large datasets. | Fbio Fabris, Diego Luchi, Flvio Miguel Varejo |
| 2020 | IJCNN | Metric Learning for Electrical Submersible Pump Fault Diagnosis. | Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, Flvio Miguel Varejo, Alexandre Rodrigues Loureiros |
| 2018 | INDIN | Electricity Readers Routing Based on Clustering and Communities Detection. | Lucas Martinuzzo Batista, Diego Lucchil, Flvio Miguel Varejo, Alexandre Rodngues, Filipe Lima, Thiago Oliveira-Santos |
| 2018 | INDIN | A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps. | Gustavo Epichin Monjardim, Alexandre Rodrigues, Flvio Miguel Varejo, Vtor E. Silva Souza, Marcos Pellegrini Ribeiro |
| 2017 | IJCNN | Monthly energy consumption forecast: A deep learning approach. | Rodrigo Ferreira Berriel, Andre Teixeira Lopes, Alexandre Rodrigues, Flvio Miguel Varejo, Thiago Oliveira-Santos |
| 2017 | IJCNN | 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, Flvio Miguel Varejo, Marcos Pellegrini Ribeiro |
| 2016 | CEC | A shuffled complex evolution algorithm for the multidimensional knapsack problem using core concept. | Marcos Daniel Valado Baroni, Flvio Miguel Varejo |
| 2016 | CEC | Decision template multi-label classification based on recursive dependent binary relevance. | Thomas W. Rauber, Victor Freitas Rocha, Lucas H. Sousa Mello, Flvio Miguel Varejo |
| 2016 | ICTAI | A Genetic Algorithm Approach for Clustering Large Data Sets. | Diego Luchi, Alexandre Rodrigues Loureiros, Flvio Miguel Varejo, Willian Santos |
| 2016 | ICTAI | Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods. | Thiago Oliveira-Santos, Thomas W. Rauber, Flvio Miguel Varejo, Lucas Martinuzzo, Willian Oliveira, Marcos Pellegrini Ribeiro, Alexandre Rodrigues |
| 2016 | IECON | Heterogeneous feature models and feature selection applied to detection of street lighting lamps types and wattages. | Raphael Santos Broetto, Flvio Miguel Varejo |
| 2015 | CIARP | A Shuffled Complex Evolution Algorithm For the Multidimensional Knapsack Problem. | Marcos Daniel Valado Baroni, Flvio Miguel Varejo |
| 2015 | CIARP | Genetic Sampling k-means for Clustering Large Data Sets. | Diego Luchi, Willian Santos, Alexandre Rodrigues Loureiros, Flvio Miguel Varejo |
| 2015 | INDIN | 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, Flvio Miguel Varejo, Marcos Pellegrini Ribeiro |
| 2015 | ICTAI | Single Sequence Fast Feature Selection for High-Dimensional Data. | Francisco de Assis Boldt, Thomas W. Rauber, Flvio Miguel Varejo |
| 2014 | INDIN | Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions. | Francisco de Assis Boldt, Thomas W. Rauber, Flvio Miguel Varejo, Marcos Pellegrini Ribeiro |
| 2014 | IECON | Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process. | Francisco de Assis Boldt, Thomas W. Rauber, Flvio Miguel Varejo |
| 2013 | CAIP | Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network. | Thomas W. Rauber, Flvio Miguel Varejo |
| 2013 | CEC | Using GA for the stratified sampling of electricity consumers. | E. de O. da Costa, Fbio Fabris, Alexandre Rodrigues Loureiros, Hannu Ahonen, Flvio Miguel Varejo, Rodrigo M. Ferro |
| 2013 | IECON | Automatic diagnosis of submersible motor pump conditions in offshore oil exploration. | Thomas W. Rauber, Flvio Miguel Varejo, Fbio Fabris, Alexandre Rodrigues, Marcos Pellegrini Ribeiro |
| 2013 | SAC | Optimization metaheuristics for minimizing variance in a real-world statistical application. | Estevo Costa, Fbio Fabris, Alexandre Rodrigues Loureiros, Hannu Ahonen, Flvio Miguel Varejo |
| 2012 | IJCNN | Kernel enhanced multilayer perceptron for industrial process diagnosis. | Lucas H. Sousa Mello, Flvio Miguel Varejo, Thomas W. Rauber |
| 2011 | ENASE | Robustifying the Scrum Agile Methodology for the Development of Complex, Critical and Fast-changing Enterprise Software. | Marcos Vescovi, Flvio Miguel Varejo, Vagner Cordeiro |
| 2010 | CIARP | An Overproduce-and-Choose Strategy to Create Classifier Ensembles with Tuned SVM Parameters Applied to Real-World Fault Diagnosis. | Estefhan Dazzi Wandekokem, Flvio Miguel Varejo, Thomas W. Rauber |
| 2010 | ICTAI | A Comparison of Two Feature-Based Ensemble Methods for Constructing Motor Pump Fault Diagnosis Classifiers. | Marcelo V. de Oliveira, Estefhan Dazzi Wandekokem, Eduardo Mendel, Fbio Fabris, Flvio Miguel Varejo, Thomas W. Rauber, Rodgrigo Batista |
| 2009 | NSS | Novel Approaches for Detecting Frauds in Energy Consumption. | Fbio Fabris, Leticia Rosetti Margoto, Flvio Miguel Varejo |
| 2000 | FlAIRS | HyperADD: An Incremental and Hybrid Approach for Knowledge Acquisition on Active Design Documents. | Sandro Coimbra Assis, Flvio Miguel Varejo, Ana Cristina Bicharra Garcia |