"An AI - Based Training for Nosocomial Infections Control". - Aurora Trinidad Ramirez Pozo; Walter Celso de Lima; Jorge Muniz Barreto (MIE, 1991)

Using phenotypic sharing in a classifier tool. - Mozart Hasse; Aurora Trinidad Ramirez Pozo (GECCO, 2000)

A Genetic Classifier Tool. - Aurora T. R. Pozo; Mozart Hasse (SCCC, 2000)

Genetic Algorithm Restricted by Tabu Lists in Data Mining. - F. M. Lopes; Aurora T. R. Pozo (SCCC, 2001)

GPSQL Miner: SQL-grammar genetic programming in data mining. - Celso Y. Ishida; Aurora T. R. Pozo (IEEE Congress on Evolutionary Computation, 2002)

Grammar-Guided Genetic Programming and Automatically Defined Functions. - Ernesto Rodrigues; Aurora T. R. Pozo (SBIA, 2002)

Controlling the Population Size in Genetic Programming. - Eduardo Jaques Spinosa; Aurora T. R. Pozo (SBIA, 2002)

Grammatically Based Genetic Programming for Mining Relational Databases. - Celso Y. Ishida; Aurora T. R. Pozo (SCCC, 2003)

Exploring Machine Learning Techniques for Software Size Estimation. - Evandro Nunes Regolin; Gustavo A. de Souza; Aurora T. R. Pozo; Silvia Regina Vergilio (SCCC, 2003)

Bayesian Automatic Programming. - Evandro Nunes Regolin; Aurora Trinidad Ramirez Pozo (EuroGP, 2005)

A comparison of evolutionary algorithms for system-level diagnosis. - Bogdan Tomoyuki Nassu; Elias Procópio Duarte Jr.; Aurora Trinidad Ramirez Pozo (GECCO, 2005)

Using Prior Knowledge to Improve the Performance of an Estimation of Distribution Algorithm Applied to Feature Selection. - Leonardo R. Emmendorfer; Rodrigo Traleski; Aurora Trinidad Ramirez Pozo (HIS, 2005)

Modeling Software Reliability Growth with Genetic Programming. - Eduardo Oliveira Costa; Silvia Regina Vergilio; Aurora Trinidad Ramirez Pozo; Gustavo A. de Souza (ISSRE, 2005)

A (mu + lambda) - GP Algorithm and its use for Regression Problems. - Eduardo Oliveira Costa; Aurora Trinidad Ramirez Pozo (ICTAI, 2006)

Using Boosting Techniques to Improve Software Reliability Models Based on Genetic Programming. - Eduardo Oliveira Costa; Aurora T. R. Pozo; Silvia Regina Vergilio (ICTAI, 2006)

Using Correlation to Improve Boosting Technique: An Application for Time Series Forecasting. - Luzia Vidal de Souza; Aurora Trinidad Ramirez Pozo; Anselmo Chaves Neto (ICTAI, 2006)

A New Approach to Genetic Programming based on Evolution Strategies. - Eduardo Oliveira Costa; Aurora Trinidad Ramirez Pozo (SMC, 2006)

A Grammar-guided Genetic Programming Framework Configured for Data Mining and Software Testing. - Silvia Regina Vergilio; Aurora Trinidad Ramirez Pozo (Int. J. Softw. Eng. Knowl. Eng., 2006)

An empirical evaluation of linkage learning strategies for multimodal optimization. - Leonardo R. Emmendorfer; Aurora Trinidad Ramirez Pozo (IEEE Congress on Evolutionary Computation, 2007)

The boosting technique using correlation coefficient to improve time series forecasting accuracy. - Luzia Vidal de Souza; Aurora T. R. Pozo; Joel Mauricio Corrêa da Rosa; Anselmo Chaves Neto (IEEE Congress on Evolutionary Computation, 2007)

Multiple objective particle swarm for classification-rule discovery. - Augusto de Almeida Prado G. Toracio; Aurora Trinidad Ramirez Pozo (IEEE Congress on Evolutionary Computation, 2007)

An Incremental Approach for Niching and Building Block Detection via Clustering. - Leonardo R. Emmendorfer; Aurora Trinidad Ramirez Pozo (ISDA, 2007)

Optimization of the AUC Criterion for Rule Subset Selection. - Celso Y. Ishida; Aurora T. R. Pozo (ISDA, 2007)

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 Corrêa da Rosa (ISDA, 2007)

XML Schema Evolution by Context Free Grammar Inference. - Julio C. T. da Silva; Martin A. Musicante; Aurora Trinidad Ramirez Pozo; Silvia Regina Vergilio (SEKE, 2007)

Exploring Genetic Programming and Boosting Techniques to Model Software Reliability. - Eduardo Oliveira Costa; Gustavo A. de Souza; Aurora Trinidad Ramirez Pozo; Silvia Regina Vergilio (IEEE Trans. Reliab., 2007)

Exploring Multi-objective PSO and GRASP-PR for Rule Induction. - Celso Y. Ishida; Andre B. de Carvalho; Aurora Trinidad Ramirez Pozo; Elizabeth Ferreira Gouvea Goldbarg; Marco César Goldbarg (EvoCOP, 2008)

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 (HIS, 2008)

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 (ICTAI (2), 2008)

Selecting software reliability models with a neural network meta classifier. - Rafael Caiuta; Aurora T. R. Pozo; Leonardo R. Emmendorfer; Silvia Regina Vergilio (IJCNN, 2008)

A Clustering-Based Approach for Linkage Learning Applied to Multimodal Optimization. - Leonardo R. Emmendorfer; Aurora T. R. Pozo (Linkage in Evolutionary Computation, 2008)

Exploring machine learning techniques for fault localization. - Luciano C. Ascari; Lucilia Yoshie Araki; Aurora T. R. Pozo; Silvia R. Vergilio (LATW, 2009)

Effective Linkage Learning Using Low-Order Statistics and Clustering. - Leonardo R. Emmendorfer; Aurora T. R. Pozo (IEEE Trans. Evol. Comput., 2009)

Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm?. - Celso Y. Ishida; Aurora T. R. Pozo; Elizabeth Ferreira Gouvea Goldbarg; Marco César Goldbarg (Innovative Applications in Data Mining, 2009)

A hybrid Particle Swarm Optimization algorithm for combinatorial optimization problems. - Matheus Rosendo; Aurora T. R. Pozo (IEEE Congress on Evolutionary Computation, 2010)

Analyzing the control of dominance area of solutions in particle swarm optimization for many-objective. - Andre B. de Carvalho; Aurora T. R. Pozo (HIS, 2010)

Swarm Intelligence for Rule Discovery in Data Mining. - Andre B. de Carvalho; Taylor Savegnago; Aurora T. R. Pozo (ICEIS (2), 2010)

A Pareto Ant Colony Algorithm Applied to the Class Integration and Test Order Problem. - Rafael da Veiga Cabral; Aurora T. R. Pozo; Silvia Regina Vergilio (ICTSS, 2010)

Many-Objective Evolutionary Algorithms in the Composition of Web Services. - Arion de Campos Jr.; Aurora T. R. Pozo; Silvia Regina Vergilio; Taylor Savegnago (SBRN, 2010)

The Control of Dominance Area in Particle Swarm Optimization Algorithms for Many-Objective Problems. - Andre B. de Carvalho; Aurora T. R. Pozo (SBRN, 2010)

Applying a Discrete Particle Swarm Optimization Algorithm to Combinatorial Problems. - Matheus Rosendo; Aurora T. R. Pozo (SBRN, 2010)

Empirical Studies on Application of Genetic Algorithms and Ant Colony Optimization for Data Clustering. - Thelma Elita Colanzi; Wesley Klewerton Guez Assunção; Aurora Trinidad Ramirez Pozo; Ana Cristina B. Kochem Vendramin; Diogo Augusto Barros Pereira (SCCC, 2010)

Applying correlation to enhance boosting technique using genetic programming as base learner. - Luzia Vidal de Souza; Aurora T. R. Pozo; Joel Mauricio Corrêa da Rosa; Anselmo Chaves Neto (Appl. Intell., 2010)

Fault Diagnosis of Multiprocessor Systems Based on Genetic and Estimation of Distribution Algorithms: a Performance Evaluation. - Elias P. Duarte Jr.; Aurora T. R. Pozo; Bogdan Tomoyuki Nassu (Int. J. Artif. Intell. Tools, 2010)

A symbolic fault-prediction model based on multiobjective particle swarm optimization. - Andre B. de Carvalho; Aurora T. R. Pozo; Silvia Regina Vergilio (J. Syst. Softw., 2010)

A Genetic Programming Approach for Software Reliability Modeling. - Eduardo Oliveira Costa; Aurora T. R. Pozo; Silvia Regina Vergilio (IEEE Trans. Reliab., 2010)

A Non-ordered Rule Induction Algorithm through Multi-Objective Particle Swarm Optimization: Issues and Applications. - Andre B. de Carvalho; Aurora T. R. Pozo; Silvia Regina Vergilio (Multi-Objective Swarm Intelligent System, 2010)

Establishing integration test orders of classes with several coupling measures. - Wesley Klewerton Guez Assunção; Thelma Elita Colanzi; Aurora Trinidad Ramirez Pozo; Silvia Regina Vergilio (GECCO, 2011)

Bio-inspired event dissemination in dynamic and decentralized networks. - Adam S. Banzi; Aurora T. R. Pozo; Elias P. Duarte Jr. (GECCO (Companion), 2011)

An approach for clustering test data. - Alexandre Rafael Lenz; Aurora T. R. Pozo; Silvia Regina Vergilio (LATW, 2011)

Search Based Software Engineering: A Review from the Brazilian Symposium on Software Engineering. - Silvia Regina Vergilio; Thelma Elita Colanzi; Aurora Trinidad Ramirez Pozo; Wesley Klewerton Guez Assunção (SBES, 2011)

An Approach Based on Swarm Intelligence for Event Dissemination in Dynamic Networks. - Adam S. Banzi; Aurora T. R. Pozo; Elias P. Duarte Jr. (SRDS, 2011)

Integration Test of Classes and Aspects with a Multi-Evolutionary and Coupling-Based Approach. - Thelma Elita Colanzi; Wesley Klewerton Guez Assunção; Silvia Regina Vergilio; Aurora T. R. Pozo (SSBSE, 2011)

Application of Bio-inspired Metaheuristics in the Data Clustering Problem. - Thelma Elita Colanzi; Wesley Klewerton Guez Assunção; Aurora Trinidad Ramirez Pozo; Ana Cristina B. Kochem Vendramin; Diogo Augusto Barros Pereira; Carlos Alberto Zorzo; Pedro Luiz de Paula Filho (CLEI Electron. J., 2011)

Using archiving methods to control convergence and diversity for Many-Objective Problems in Particle Swarm Optimization. - André Britto; Aurora T. R. Pozo (IEEE Congress on Evolutionary Computation, 2012)

A Comparison of methods for leader selection in many-objective problems. - Olacir Rodrigues Castro Junior; André Britto; Aurora T. R. Pozo (IEEE Congress on Evolutionary Computation, 2012)

I-MOPSO: A Suitable PSO Algorithm for Many-Objective Optimization. - André Britto; Aurora T. R. Pozo (SBRN, 2012)

Self-Controlling Dominance Particle Swarm Optimization. - Olacir Rodrigues Castro Junior; André Britto; Aurora T. R. Pozo (SBRN, 2012)

Use of Backpropagation and Differential Evolution Algorithms to Training MLPs. - Luiz Carlos Camargo; Hegler Correa Tissot; Aurora Trinidad Ramirez Pozo (SCCC, 2012)

Search-Based Evolution of XML Schemas. - Julio Cesar Teodoro Silva; Aurora Trinidad Ramirez Pozo; Silvia Regina Vergilio; Martin A. Musicante (Comput. Informatics, 2012)

Selecting mutation operators with a multiobjective approach. - Adam S. Banzi; Tiago Nobre; Gabriel B. Pinheiro; João Carlos G. Árias; Aurora T. R. Pozo; Silvia Regina Vergilio (Expert Syst. Appl., 2012)

Reducing Interface Mutation Costs with Multiobjective Optimization Algorithms. - Tiago Nobre; Silvia Regina Vergilio; Aurora T. R. Pozo (Int. J. Nat. Comput. Res., 2012)

Measuring the convergence and diversity of CDAS Multi-Objective Particle Swarm Optimization Algorithms: A study of many-objective problems. - Andre B. de Carvalho; Aurora T. R. Pozo (Neurocomputing, 2012)

Multi-objective optimization algorithms applied to the class integration and test order problem. - Silvia Regina Vergilio; Aurora T. R. Pozo; João Carlos G. Árias; Rafael da Veiga Cabral; Tiago Nobre (Int. J. Softw. Tools Technol. Transf., 2012)

A Strategy to Solve MaOPs with Multiple Swarms Based on Broadcast Communication. - Arion de Campos Jr.; Aurora T. R. Pozo; Elias P. Duarte Jr. (BRACIS, 2013)

Evaluation of gossip Vs. broadcast as communication strategies for multiple swarms solving MaOPs. - Arion de Campos Jr.; Aurora Trinidad Ramirez Pozo; Elias P. Duarte Jr. (IEEE Congress on Evolutionary Computation, 2013)

Iterated multi-swarm: a multi-swarm algorithm based on archiving methods. - André Britto; Sanaz Mostaghim; Aurora T. R. Pozo (GECCO, 2013)

Determining Integration and Test Orders in the Presence of Modularization Restrictions. - Wesley Klewerton Guez Assunção; Thelma Elita Colanzi; Silvia Regina Vergilio; Aurora T. R. Pozo (SBES, 2013)

On the Application of the Multi-Evolutionary and Coupling-Based Approach with Different Aspect-Class Integration Testing Strategies. - Wesley Klewerton Guez Assunção; Thelma Elita Colanzi; Silvia Regina Vergilio; Aurora T. R. Pozo (SSBSE, 2013)

Evaluation of asynchronous multi-swarm particle optimization on several topologies. - Arion de Campos Jr.; Aurora T. R. Pozo; Elias P. Duarte Jr. (Concurr. Comput. Pract. Exp., 2013)

Linking software testing results with a machine learning approach. - Alexandre Rafael Lenz; Aurora T. R. Pozo; Silvia Regina Vergilio (Eng. Appl. Artif. Intell., 2013)

Search Based Software Engineering: Review and analysis of the field in Brazil. - Thelma Elita Colanzi; Silvia Regina Vergilio; Wesley Klewerton Guez Assunção; Aurora T. R. Pozo (J. Syst. Softw., 2013)

Generating Integration Test Orders for Aspect Oriented Software with Multi-objective Algorithms. - Wesley Klewerton Guez Assunção; Thelma Elita Colanzi; Silvia Regina Vergilio; Aurora Trinidad Ramirez Pozo (RITA, 2013)

Archive Based Multi-swarm Algorithm for Many-Objective Problems. - André Britto; Sanaz Mostaghim; Aurora Trinidad Ramirez Pozo (BRACIS, 2014)

A Hybrid Competent Multi-swarm Approach for Many-Objective Problems. - Olacir Rodrigues Castro Junior; Aurora Trinidad Ramirez Pozo (BRACIS, 2014)

A GPU Implementation of MOEA/D-ACO for the Multiobjective Traveling Salesman Problem. - Murilo Zangari de Souza; Aurora Trinidad Ramirez Pozo (BRACIS, 2014)

Parallel MOEA/D-ACO on GPU. - Murilo Zangari de Souza; Aurora Trinidad Ramirez Pozo (IBERAMIA, 2014)

A MOPSO based on hyper-heuristic to optimize many-objective problems. - Olacir R. Castro Jr.; Aurora T. R. Pozo (SIS, 2014)

Using reference points to update the archive of MOPSO algorithms in Many-Objective Optimization. - André Britto; Aurora T. R. Pozo (Neurocomputing, 2014)

A multi-objective optimization approach for the integration and test order problem. - Wesley Klewerton Guez Assunção; Thelma Elita Colanzi; Silvia Regina Vergilio; Aurora T. R. Pozo (Inf. Sci., 2014)

Evaluating different strategies for integration testing of aspect-oriented programs. - Wesley Klewerton Guez Assunção; Thelma Elita Colanzi; Silvia Regina Vergilio; Aurora Trinidad Ramirez Pozo (J. Braz. Comput. Soc., 2014)

Reference-Point Based Multi-swarm Algorithm for Many-Objective Problems. - André Britto; Aurora T. R. Pozo (BRACIS, 2015)

A Multi-armed Bandit Hyper-Heuristic. - Alexandre Silvestre Ferreira; Richard Aderbal Gonçalves; Aurora Trinidad Ramirez Pozo (BRACIS, 2015)

Capturing Relationships in Multi-objective Optimization. - Gian Mauricio Fritsche; Andrei Strickler; Aurora T. R. Pozo; Roberto Santana 001 (BRACIS, 2015)

Evaluating a Multi-objective Hyper-Heuristic for the Integration and Test Order Problem. - Giovani Guizzo; Silvia Regina Vergilio; Aurora T. R. Pozo (BRACIS, 2015)

Multiobjective Binary ACO for Unconstrained Binary Quadratic Programming. - Murilo Zangari de Souza; Aurora Trinidad Ramirez Pozo (BRACIS, 2015)

Using Hyper-Heuristic to Select Leader and Archiving Methods for Many-Objective Problems. - Olacir R. Castro Jr.; Aurora T. R. Pozo (EMO (1), 2015)

Upper Confidence Bound (UCB) Algorithms for Adaptive Operator Selection in MOEA/D. - Richard A. Gonçalves; Carolina P. de Almeida; Aurora T. R. Pozo (EMO (1), 2015)

A Hyper-Heuristic for the Multi-Objective Integration and Test Order Problem. - Giovani Guizzo; Gian Mauricio Fritsche; Silvia Regina Vergilio; Aurora Trinidad Ramirez Pozo (GECCO, 2015)

MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems. - Murilo Zangari de Souza; Roberto Santana 001; Aurora Trinidad Ramirez Pozo; Alexander Mendiburu (CoRR, 2015)

Progress in intelligent systems. - Aurora T. R. Pozo; Heloisa de Arruda Camargo; Teresa Bernarda Ludermir (Neurocomputing, 2015)

Adaptive Operator Selection in NSGA-III. - Richard A. Gonçalves; Carolina P. de Almeida; Lucas M. Pavelski; Sandra M. Venske; Josiel Neumann Kuk; Aurora T. R. Pozo (BRACIS, 2016)

Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms. - Andrei Strickler; Olacir Rodrigues Castro Junior; Aurora T. R. Pozo; Roberto Santana 001 (BRACIS, 2016)

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 (CEC, 2016)

Grammatical Evolution for the Multi-Objective Integration and Test Order Problem. - Thainá Mariani; Giovani Guizzo; Silvia Regina Vergilio; Aurora T. R. Pozo (GECCO, 2016)

On the Design of Hard mUBQP Instances. - Murilo Zangari; Roberto Santana 001; Alexander Mendiburu; Aurora T. R. Pozo (GECCO, 2016)

Deriving products for variability test of Feature Models with a hyper-heuristic approach. - Andrei Strickler; Jackson A. Prado Lima; Silvia Regina Vergilio; Aurora T. R. Pozo (Appl. Soft Comput., 2016)

C-Multi: A competent multi-swarm approach for many-objective problems. - Olacir R. Castro Jr.; Roberto Santana 001; Aurora T. R. Pozo (Neurocomputing, 2016)

A Heterogeneous Distributed Approach for Many-Objective Optimization. - Gian Mauricio Fritsche; Aurora Trinidad Ramirez Pozo (BRACIS, 2017)

A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization. - Richard Aderbal Gonçalves; Carolina Paula de Almeida; Sandra Mara Guse Scós Venske; Myriam Regattieri de Biase da Silva Delgado; Aurora Trinidad Ramirez Pozo (BRACIS, 2017)

Investigating Grammar-Based Design of Multi-objective Particle Swarm Optimization Algorithm. - Ricardo Henrique Remes de Lima; Aurora Trinidad Ramirez Pozo (BRACIS, 2017)

A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique. - Lucas Prestes; Myriam Regattieri de Biase da Silva Delgado; Richard Aderbal Gonçalves; Carolina Paula de Almeida; Aurora Trinidad Ramirez Pozo (BRACIS, 2017)

Combining CMA-ES and MOEA/DD for many-objective optimization. - Olacir R. Castro Jr.; Roberto Santana 001; José Antonio Lozano 001; Aurora T. R. Pozo (CEC, 2017)

A Multi-Armed Bandit selection strategy for Hyper-heuristics. - Alexandre Silvestre Ferreira; Richard Aderbal Gonçalves; Aurora T. R. Pozo (CEC, 2017)

Automated design of hyper-heuristics components to solve the PSP problem with HP model. - Vidal D. Fontoura; Aurora T. R. Pozo; Roberto Santana 001 (CEC, 2017)

A study on auto-configuration of Multi-Objective Particle Swarm Optimization Algorithm. - Ricardo Henrique Remes de Lima; Aurora Trinidad Ramirez Pozo (CEC, 2017)

A distributed framework for cooperation of many-objective evolutionary algorithms. - Gian Mauricio Fritsche; Aurora T. R. Pozo (GECCO (Companion), 2017)

A multi-objective and evolutionary hyper-heuristic applied to the Integration and Test Order Problem. - Giovani Guizzo; Silvia R. Vergilio; Aurora T. R. Pozo; Gian Mauricio Fritsche (Appl. Soft Comput., 2017)

Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants. - Murilo Zangari de Souza; Roberto Santana 001; Alexander Mendiburu; Aurora Trinidad Ramirez Pozo (Appl. Soft Comput., 2017)

Meta-learning based selection of software reliability models. - Rafael Caiuta; Aurora T. R. Pozo; Silvia Regina Vergilio (Autom. Softw. Eng., 2017)

Hyper-Heuristic Based Product Selection for Software Product Line Testing. - Thiago do Nascimento Ferreira; Jackson A. Prado Lima; Andrei Strickler; Josiel Neumann Kuk; Silvia Regina Vergilio; Aurora T. R. Pozo (IEEE Comput. Intell. Mag., 2017)

A decomposition-based binary ACO algorithm for the multiobjective UBQP. - Murilo Zangari; Aurora T. R. Pozo; Roberto Santana 001; Alexander Mendiburu (Neurocomputing, 2017)

Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem. - Murilo Zangari; Alexander Mendiburu; Roberto Santana 001; Aurora T. R. Pozo (Inf. Sci., 2017)

Transfer weight functions for injecting problem information in the multi-objective CMA-ES. - Olacir R. Castro Jr.; Aurora T. R. Pozo; José Antonio Lozano 001; Roberto Santana 001 (Memetic Comput., 2017)

An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study. - Olacir R. Castro Jr.; Aurora T. R. Pozo; José Antonio Lozano 001; Roberto Santana 001 (Swarm Intell., 2017)

Selecting Algorithms for the Quadratic Assignment Problem with a Multi-label Meta-Learning Approach. - Augusto Lopez Dantas; Aurora T. R. Pozo (BRACIS, 2018)

A Hyper-Heuristic Collaborative Multi-objective Evolutionary Algorithm. - Gian Mauricio Fritsche; Aurora T. R. Pozo (BRACIS, 2018)

A New Adaptive Operator Selection for NSGA-III Applied to CEC 2018 Many-Objective Benchmark. - Josiel Neumann Kuk; Richard A. Gonçalves; Carolina Paula de Almeida; Sandra M. Venske; Aurora T. R. Pozo (BRACIS, 2018)

A Meta-Learning Algorithm Selection Approach for the Quadratic Assignment Problem. - Augusto Lopez Dantas; Aurora Trinidad Ramirez Pozo (CEC, 2018)

An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA. - Andrei Strickler; Olacir Rodrigues Castro Junior; Aurora T. R. Pozo; Roberto Santana 001 (Appl. Soft Comput., 2018)

Evaluating selection methods on hyper-heuristic multi-objective particle swarm optimization. - Olacir R. Castro Jr.; Gian Mauricio Fritsche; Aurora T. R. Pozo (J. Heuristics, 2018)

Combining Fitness Landscape Analysis and Adaptive Operator Selection in Multi and Many-Objective Optimization. - Josiel Kuk; Richard A. Gonçalves; Aurora T. R. Pozo (BRACIS, 2019)

Automatic Design of Convolutional Neural Networks using Grammatical Evolution. - Ricardo Henrique Remes de Lima; Aurora T. R. Pozo; Roberto Santana 001 (BRACIS, 2019)

Cooperative based hyper-heuristic for many-objective optimization. - Gian Mauricio Fritsche; Aurora T. R. Pozo (GECCO, 2019)

Evolving convolutional neural networks through grammatical evolution. - Ricardo Henrique Remes de Lima; Aurora T. R. Pozo (GECCO (Companion), 2019)

Parallel multi-swarm PSO strategies for solving many objective optimization problems. - Arion de Campos Jr.; Aurora T. R. Pozo; Elias P. Duarte Jr. (J. Parallel Distributed Comput., 2019)

Classification of Relationship in Argumentation Using Graph Convolutional Network. - Dimmy Magalhães; Aurora T. R. Pozo (ADBIS/TPDL/EDA Workshops, 2020)

The Analysis of a Cooperative Hyper-Heuristic on a Constrained Real-world Many-objective Continuous Problem. - Gian Mauricio Fritsche; Aurora T. R. Pozo (CEC, 2020)

A Symmetric grammar approach for designing segmentation models. - Ricardo Henrique Remes de Lima; Aurora T. R. Pozo; Alexander Mendiburu; Roberto Santana 001 (CEC, 2020)

Improving Barnes-Hut t-SNE Scalability in GPU with Efficient Memory Access Strategies. - Bruno Henrique Meyer; Aurora Trinidad Ramirez Pozo; Wagner M. Nunan Zola (IJCNN, 2020)

Smart Reckoning: Reducing the traffic of online multiplayer games using machine learning for movement prediction. - Elias P. Duarte Jr.; Aurora T. R. Pozo; Pamela Beltrani (Entertain. Comput., 2020)

Preface. - Aurora T. R. Pozo; Heloisa de Arruda Camargo (Nat. Comput., 2020)

On the use of fitness landscape features in meta-learning based algorithm selection for the quadratic assignment problem. - Augusto Lopez Dantas; Aurora T. R. Pozo (Theor. Comput. Sci., 2020)

COVID-19 Portal: Machine Learning Techniques Applied to the Analysis of Judicial Processes Related to the Pandemic. - Ana Sodré; Dimmy Magalhães; Luis Floriano; Aurora T. R. Pozo; Carmem S. Hara; Sidnei Machado (ADBIS (Short Papers), 2021)

Online Selection of Heuristic Operators with Deep Q-Network: A Study on the HyFlex Framework. - Augusto Lopez Dantas; Aurora T. R. Pozo (BRACIS (1), 2021)

Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems. - Ricardo Henrique Remes de Lima; Aurora T. R. Pozo; Alexander Mendiburu; Roberto Santana 001 (EuroGP, 2021)

Using deep Q-network for selection hyper-heuristics. - Augusto Lopez Dantas; Alexander Fiabane do Rego; Aurora T. R. Pozo (GECCO Companion, 2021)

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 (ICONIP (5), 2021)

Warp-centric K-Nearest Neighbor Graphs construction on GPU. - Bruno Henrique Meyer; Aurora T. R. Pozo; Wagner M. Nunan Zola (ICPP Workshops, 2021)

Influence of a GRASP Initialization on the Performance of the Hybrid Genetic Search with Adaptive Diversity Control. - Alexander Fiabane do Rego; Aurora T. R. Pozo (SSCI, 2021)

A Survey of Evolutionary Multi-Objective Clustering Approaches. - Cristina Y. Morimoto; Aurora T. R. Pozo; Marcilio C. P. de Souto (CoRR, 2021)

An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem. - Josiel Neumann Kuk; Richard Aderbal Gonçalves; Lucas Marcondes Pavelski; Sandra Mara Guse Scós Venske; Carolina Paula de Almeida; Aurora Trinidad Ramirez Pozo (Expert Syst. Appl., 2021)

Improving Barnes-Hut t-SNE Algorithm in Modern GPU Architectures with Random Forest KNN and Simulated Wide-Warp. - Bruno Henrique Meyer; Aurora Trinidad Ramirez Pozo; Wagner M. Nunan Zola (ACM J. Emerg. Technol. Comput. Syst., 2021)

An Approach for the Generation of Multi-Objective Algorithms Applied to the Integration and Test Order Problem. - Giovani Guizzo; Thainá Mariani; Silvia Regina Vergilio; Aurora T. R. Pozo (J. Softw. Eng. Res. Dev., 2021)

The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic. - Augusto Lopez Dantas; Aurora T. R. Pozo (BRACIS (1), 2022)

Towards a Better Understanding of Heuristic Approaches Applied to the Biological Motif Discovery. - Jader M. Caldonazzo Garbelini; Danilo Sipoli Sanches; Aurora Trinidad Ramirez Pozo (BRACIS (1), 2022)

Expectation Maximization based algorithm applied to DNA sequence motif finder. - Jader M. Caldonazzo Garbelini; Danilo Sipoli Sanches; Aurora Trinidad Ramirez Pozo (CEC, 2022)

Detecting Nested Structures Through Evolutionary Multi-objective Clustering. - Cristina Y. Morimoto; Aurora T. R. Pozo; Marcílio Carlos Pereira de Souto (EvoApplications, 2022)

Portuguese Man-of-War Image Classification with Convolutional Neural Networks. - Alessandra Carneiro; Lorena Nascimento; Mauricio Noernberg; Carmem S. Hara; Aurora T. R. Pozo (CoRR, 2022)

On the cooperation of meta-heuristics for solving many-objective problems: An empirical analysis including benchmark and real-world problems. - Gian Mauricio Fritsche; Aurora T. R. Pozo (Expert Syst. Appl., 2022)

Global and local structure preserving GPU t-SNE methods for large-scale applications. - Bruno Henrique Meyer; Aurora Trinidad Ramirez Pozo; Wagner M. Nunan Zola (Expert Syst. Appl., 2022)

A grammar-based GP approach applied to the design of deep neural networks. - Ricardo Henrique Remes de Lima; Dimmy Magalhães; Aurora T. R. Pozo; Alexander Mendiburu; Roberto Santana 001 (Genet. Program. Evolvable Mach., 2022)

An analysis of the admissibility of the objective functions applied in evolutionary multi-objective clustering. - Cristina Y. Morimoto; Aurora T. R. Pozo; Marcilio C. P. de Souto (Inf. Sci., 2022)

Federated Self-Supervised Learning for Intrusion Detection. - Bruno Henrique Meyer; Aurora T. R. Pozo; Michele Nogueira; Wagner M. Nunan Zola (SSCI, 2023)

Creating deep neural networks for text classification tasks using grammar genetic programming. - Dimmy Magalhães; Ricardo Henrique Remes de Lima; Aurora T. R. Pozo (Appl. Soft Comput., 2023)

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 (ADBIS (Short Papers), 2024)

SMT: A High-Performance Approach for Counting Kmers. - Jader M. Caldonazzo Garbelini; Danilo Sipoli Sanches; André Yoshiaki Kashiwabara; Aurora T. R. Pozo (BIOSTEC (1), 2024)

Identifying Occurrences of the Cnidarian Physalia physalis in Social Media Data. - Heloisa Fernanda Rocha; Lorena Nascimento; Leonardo Camargo; Mauricio Noernberg; Aurora Trinidad Ramirez Pozo; Carmem S. Hara (Comput. Sci. Inf. Syst., 2024)

An adaptive evolutionary multi-objective clustering based on the data properties of the base partitions. - Cristina Y. Morimoto; Aurora Trinidad Ramirez Pozo; Marcílio Carlos Pereira de Souto (Expert Syst. Appl., 2024)

biomapp::chip: large-scale motif analysis. - Jader M. Caldonazzo Garbelini; Danilo Sipoli Sanches; Aurora T. R. Pozo (BMC Bioinform., 2024)