| 2024 | ADBIS | The Effect of Text Normalization on Mining Portuguese Man-of-War Instagram Posts. | Heloisa Fernanda Rocha, Carlos A. Prolo, Aurora T. R. Pozo, Carmem S. Hara |
| 2021 | ADBIS | COVID-19 Portal: Machine Learning Techniques Applied to the Analysis of Judicial Processes Related to the Pandemic. | Ana Paula Sodr, Dimmy Magalhes, Luis Floriano, Aurora T. R. Pozo, Carmem S. Hara, Sidnei Machado |
| 2021 | EUROGP | Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems. | Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana |
| 2021 | GECCO | Using deep Q-network for selection hyper-heuristics. | Augusto Lopez Dantas, Alexander Fiabane do Rego, Aurora T. R. Pozo |
| 2021 | ICONIP | Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Δ-MOCK. | Adriano Kultzak, Cristina Y. Morimoto, Aurora T. R. Pozo, Marcilio C. P. de Souto |
| 2020 | ADBIS | Classification of Relationship in Argumentation Using Graph Convolutional Network. | Dimmy Magalhes, Aurora T. R. Pozo |
| 2020 | CEC | The Analysis of a Cooperative Hyper-Heuristic on a Constrained Real-world Many-objective Continuous Problem. | Gian Mauricio Fritsche, Aurora T. R. Pozo |
| 2020 | CEC | A Symmetric grammar approach for designing segmentation models. | Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana |
| 2019 | GECCO | Cooperative based hyper-heuristic for many-objective optimization. | Gian Mauricio Fritsche, Aurora T. R. Pozo |
| 2019 | GECCO | Evolving convolutional neural networks through grammatical evolution. | Ricardo Henrique Remes de Lima, Aurora T. R. Pozo |
| 2017 | CEC | Combining CMA-ES and MOEA/DD for many-objective optimization. | Olacir R. Castro Jr., Roberto Santana, Jos Antonio Lozano, Aurora T. R. Pozo |
| 2017 | CEC | A Multi-Armed Bandit selection strategy for Hyper-heuristics. | Alexandre Silvestre Ferreira, Richard Aderbal Gonalves, Aurora T. R. Pozo |
| 2017 | CEC | Automated design of hyper-heuristics components to solve the PSP problem with HP model. | Vidal D. Fontoura, Aurora T. R. Pozo, Roberto Santana |
| 2017 | GECCO | A distributed framework for cooperation of many-objective evolutionary algorithms. | Gian Mauricio Fritsche, Aurora T. R. Pozo |
| 2016 | CEC | Product selection based on upper confidence bound MOEA/D-DRA for testing software product lines. | Thiago do Nascimento Ferreira, Josiel Neumann Kuk, Aurora T. R. Pozo, Silvia Regina Vergilio |
| 2016 | GECCO | Grammatical Evolution for the Multi-Objective Integration and Test Order Problem. | Thain Mariani, Giovani Guizzo, Silvia Regina Vergilio, Aurora T. R. Pozo |
| 2016 | GECCO | On the Design of Hard mUBQP Instances. | Murilo Zangari, Roberto Santana, Alexander Mendiburu, Aurora T. R. Pozo |
| 2015 | EMO | Using Hyper-Heuristic to Select Leader and Archiving Methods for Many-Objective Problems. | Olacir R. Castro Jr., Aurora T. R. Pozo |
| 2015 | EMO | Upper Confidence Bound (UCB) Algorithms for Adaptive Operator Selection in MOEA/D. | Richard A. Gonalves, Carolina P. de Almeida, Aurora T. R. Pozo |
| 2013 | GECCO | Iterated multi-swarm: a multi-swarm algorithm based on archiving methods. | Andr Britto, Sanaz Mostaghim, Aurora T. R. Pozo |
| 2013 | SSBSE | On the Application of the Multi-Evolutionary and Coupling-Based Approach with Different Aspect-Class Integration Testing Strategies. | Wesley Klewerton Guez Assuno, Thelma Elita Colanzi, Silvia Regina Vergilio, Aurora T. R. Pozo |
| 2012 | CEC | Using archiving methods to control convergence and diversity for Many-Objective Problems in Particle Swarm Optimization. | Andr Britto, Aurora T. R. Pozo |
| 2012 | CEC | A Comparison of methods for leader selection in many-objective problems. | Olacir Rodrigues Castro Junior, Andr Britto, Aurora T. R. Pozo |
| 2011 | GECCO | Bio-inspired event dissemination in dynamic and decentralized networks. | Adam S. Banzi, Aurora T. R. Pozo, Elias P. Duarte Jr. |
| 2011 | SRDS | An Approach Based on Swarm Intelligence for Event Dissemination in Dynamic Networks. | Adam S. Banzi, Aurora T. R. Pozo, Elias P. Duarte Jr. |
| 2011 | SSBSE | Integration Test of Classes and Aspects with a Multi-Evolutionary and Coupling-Based Approach. | Thelma Elita Colanzi, Wesley Klewerton Guez Assuno, Silvia Regina Vergilio, Aurora T. R. Pozo |
| 2010 | CEC | A hybrid Particle Swarm Optimization algorithm for combinatorial optimization problems. | Matheus Rosendo, Aurora T. R. Pozo |
| 2010 | HIS | Analyzing the control of dominance area of solutions in particle swarm optimization for many-objective. | Andre B. de Carvalho, Aurora T. R. Pozo |
| 2008 | HIS | Non-Ordered Data Mining Rules Through Multi-Objective Particle Swarm Optimization: Dealing with Numeric and Discrete Attributes. | Andre B. de Carvalho, Aurora T. R. Pozo |
| 2008 | IJCNN | Selecting software reliability models with a neural network meta classifier. | Rafael Caiuta, Aurora T. R. Pozo, Leonardo R. Emmendorfer, Silvia Regina Vergilio |
| 2008 | ICTAI | Predicting Fault Proneness of Classes Trough a Multiobjective Particle Swarm Optimization Algorithm. | Andre B. de Carvalho, Aurora T. R. Pozo, Silvia Regina Vergilio, Alexandre Lenz |
| 2007 | CEC | The boosting technique using correlation coefficient to improve time series forecasting accuracy. | Luzia Vidal de Souza, Aurora T. R. Pozo, Joel Mauricio Corra da Rosa, Anselmo Chaves Neto |
| 2007 | ISDA | Optimization of the AUC Criterion for Rule Subset Selection. | Celso Y. Ishida, Aurora T. R. Pozo |
| 2007 | ISDA | An Empirical Study of Time Series Forecasting Using Boosting Technique with Correlation Coefficient. | Luzia Vidal de Souza, Aurora T. R. Pozo, Anselmo Chaves Neto, Joel Mauricio Corra da Rosa |
| 2006 | ICTAI | Using Boosting Techniques to Improve Software Reliability Models Based on Genetic Programming. | Eduardo Oliveira Costa, Aurora T. R. Pozo, Silvia Regina Vergilio |
| 2002 | CEC | GPSQL Miner: SQL-grammar genetic programming in data mining. | Celso Y. Ishida, Aurora T. R. Pozo |