Aurora T. R. Pozo

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 52

Top Venues

Publications

Jader M. Caldonazzo Garbelini, Danilo Sipoli Sanches, André Yoshiaki Kashiwabara, Aurora T. R. Pozo
SMT: A High-Performance Approach for Counting Kmers. BIOSTEC (1) (2024)
Jader M. Caldonazzo Garbelini, Danilo Sipoli Sanches, Aurora T. R. Pozo
biomapp::chip: large-scale motif analysis. BMC Bioinform. 25 (1) (2024)
Dimmy Magalhães, Ricardo Henrique Remes de Lima, Aurora T. R. Pozo
Creating deep neural networks for text classification tasks using grammar genetic programming. Appl. Soft Comput. 135 (2023)
Bruno Henrique Meyer, Aurora T. R. Pozo, Michele Nogueira, Wagner M. Nunan Zola
Federated Self-Supervised Learning for Intrusion Detection. SSCI (2023)
Augusto Lopez Dantas, Aurora T. R. Pozo
The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic. BRACIS (1) (2022)
Cristina Y. Morimoto, Aurora T. R. Pozo, Marcílio Carlos Pereira de Souto
Detecting Nested Structures Through Evolutionary Multi-objective Clustering. EvoApplications (2022)
Gian Mauricio Fritsche, Aurora T. R. Pozo
On the cooperation of meta-heuristics for solving many-objective problems: An empirical analysis including benchmark and real-world problems. Expert Syst. Appl. 192 (2022)
Cristina Y. Morimoto, Aurora T. R. Pozo, Marcílio Carlos Pereira de Souto
An Analysis of the Admissibility of the Objective Functions Applied in Evolutionary Multi-objective Clustering. CoRR (2022)
Cristina Y. Morimoto, Aurora T. R. Pozo, Marcilio C. P. de Souto
An analysis of the admissibility of the objective functions applied in evolutionary multi-objective clustering. Inf. Sci. 610 (2022)
Ricardo Henrique Remes de Lima, Dimmy Magalhães, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
A grammar-based GP approach applied to the design of deep neural networks. Genet. Program. Evolvable Mach. 23 (3) (2022)
Alexander Fiabane do Rego, Aurora T. R. Pozo
Influence of a GRASP Initialization on the Performance of the Hybrid Genetic Search with Adaptive Diversity Control. SSCI (2021)
Bruno Henrique Meyer, Aurora T. R. Pozo, Wagner M. Nunan Zola
Warp-centric K-Nearest Neighbor Graphs construction on GPU. ICPP Workshops (2021)
Adriano Kultzak, Cristina Y. Morimoto, Aurora T. R. Pozo, Marcilio C. P. de Souto
Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Δ-MOCK. ICONIP (5) (2021)
Ana Sodré, Dimmy Magalhães, Luis Floriano, Aurora T. R. Pozo, Carmem S. Hara, Sidnei Machado
COVID-19 Portal: Machine Learning Techniques Applied to the Analysis of Judicial Processes Related to the Pandemic. ADBIS (Short Papers) (2021)
Giovani Guizzo, Thainá Mariani, Silvia Regina Vergilio, Aurora T. R. Pozo
An Approach for the Generation of Multi-Objective Algorithms Applied to the Integration and Test Order Problem. J. Softw. Eng. Res. Dev. 9 (2021)
Augusto Lopez Dantas, Aurora T. R. Pozo
Online Selection of Heuristic Operators with Deep Q-Network: A Study on the HyFlex Framework. BRACIS (1) (2021)
Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems. EuroGP (2021)
Augusto Lopez Dantas, Alexander Fiabane do Rego, Aurora T. R. Pozo
Using deep Q-network for selection hyper-heuristics. GECCO Companion (2021)
Augusto Lopez Dantas, Aurora T. R. Pozo
On the use of fitness landscape features in meta-learning based algorithm selection for the quadratic assignment problem. Theor. Comput. Sci. 805 (2020)
Dimmy Magalhães, Aurora T. R. Pozo
Classification of Relationship in Argumentation Using Graph Convolutional Network. ADBIS/TPDL/EDA Workshops (2020)
Aurora T. R. Pozo, Heloisa de Arruda Camargo
Preface. Nat. Comput. 19 (3) (2020)
Elias P. Duarte Jr., Aurora T. R. Pozo, Pamela Beltrani
Smart Reckoning: Reducing the traffic of online multiplayer games using machine learning for movement prediction. Entertain. Comput. 33 (2020)
Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
A Symmetric grammar approach for designing segmentation models. CEC (2020)
Gian Mauricio Fritsche, Aurora T. R. Pozo
The Analysis of a Cooperative Hyper-Heuristic on a Constrained Real-world Many-objective Continuous Problem. CEC (2020)
Josiel Kuk, Richard A. Gonçalves, Aurora T. R. Pozo
Combining Fitness Landscape Analysis and Adaptive Operator Selection in Multi and Many-Objective Optimization. BRACIS (2019)
Ricardo Henrique Remes de Lima, Aurora T. R. Pozo
Evolving convolutional neural networks through grammatical evolution. GECCO (Companion) (2019)
Arion de Campos Jr., Aurora T. R. Pozo, Elias P. Duarte Jr.
Parallel multi-swarm PSO strategies for solving many objective optimization problems. J. Parallel Distributed Comput. 126 (2019)
Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Roberto Santana
Automatic Design of Convolutional Neural Networks using Grammatical Evolution. BRACIS (2019)
Gian Mauricio Fritsche, Aurora T. R. Pozo
Cooperative based hyper-heuristic for many-objective optimization. GECCO (2019)
Gian Mauricio Fritsche, Aurora T. R. Pozo
A Hyper-Heuristic Collaborative Multi-objective Evolutionary Algorithm. BRACIS (2018)
Josiel Neumann Kuk, Richard A. Gonçalves, Carolina Paula de Almeida, Sandra M. Venske, Aurora T. R. Pozo
A New Adaptive Operator Selection for NSGA-III Applied to CEC 2018 Many-Objective Benchmark. BRACIS (2018)
Augusto Lopez Dantas, Aurora T. R. Pozo
Selecting Algorithms for the Quadratic Assignment Problem with a Multi-label Meta-Learning Approach. BRACIS (2018)
Andrei Strickler, Olacir Rodrigues Castro Junior, Aurora T. R. Pozo, Roberto Santana
An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA. Appl. Soft Comput. 62 (2018)
Olacir R. Castro Jr., Gian Mauricio Fritsche, Aurora T. R. Pozo
Evaluating selection methods on hyper-heuristic multi-objective particle swarm optimization. J. Heuristics 24 (4) (2018)
Olacir R. Castro Jr., Roberto Santana, José Antonio Lozano, Aurora T. R. Pozo
Combining CMA-ES and MOEA/DD for many-objective optimization. CEC (2017)
Rafael Caiuta, Aurora T. R. Pozo, Silvia Regina Vergilio
Meta-learning based selection of software reliability models. Autom. Softw. Eng. 24 (3) (2017)
Thiago do Nascimento Ferreira, Jackson A. Prado Lima, Andrei Strickler, Josiel Neumann Kuk, Silvia Regina Vergilio, Aurora T. R. Pozo
Hyper-Heuristic Based Product Selection for Software Product Line Testing. IEEE Comput. Intell. Mag. 12 (2) (2017)
Vidal D. Fontoura, Aurora T. R. Pozo, Roberto Santana
Automated design of hyper-heuristics components to solve the PSP problem with HP model. CEC (2017)
Murilo Zangari, Alexander Mendiburu, Roberto Santana, Aurora T. R. Pozo
Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem. Inf. Sci. 397 (2017)
Olacir R. Castro Jr., Aurora T. R. Pozo, José Antonio Lozano, Roberto Santana
Transfer weight functions for injecting problem information in the multi-objective CMA-ES. Memetic Comput. 9 (2) (2017)
Gian Mauricio Fritsche, Aurora T. R. Pozo
A distributed framework for cooperation of many-objective evolutionary algorithms. GECCO (Companion) (2017)
Giovani Guizzo, Silvia R. Vergilio, Aurora T. R. Pozo, Gian Mauricio Fritsche
A multi-objective and evolutionary hyper-heuristic applied to the Integration and Test Order Problem. Appl. Soft Comput. 56 (2017)
Murilo Zangari, Aurora T. R. Pozo, Roberto Santana, Alexander Mendiburu
A decomposition-based binary ACO algorithm for the multiobjective UBQP. Neurocomputing 246 (2017)
Alexandre Silvestre Ferreira, Richard Aderbal Gonçalves, Aurora T. R. Pozo
A Multi-Armed Bandit selection strategy for Hyper-heuristics. CEC (2017)
Olacir R. Castro Jr., Aurora T. R. Pozo, José Antonio Lozano, Roberto Santana
An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study. Swarm Intell. 11 (2) (2017)
Thainá Mariani, Giovani Guizzo, Silvia Regina Vergilio, Aurora T. R. Pozo
Grammatical Evolution for the Multi-Objective Integration and Test Order Problem. GECCO (2016)
Andrei Strickler, Jackson A. Prado Lima, Silvia Regina Vergilio, Aurora T. R. Pozo
Deriving products for variability test of Feature Models with a hyper-heuristic approach. Appl. Soft Comput. 49 (2016)
Andrei Strickler, Olacir Rodrigues Castro Junior, Aurora T. R. Pozo, Roberto Santana
Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms. BRACIS (2016)
Richard A. Gonçalves, Carolina P. de Almeida, Lucas M. Pavelski, Sandra M. Venske, Josiel Neumann Kuk, Aurora T. R. Pozo
Adaptive Operator Selection in NSGA-III. BRACIS (2016)
Thiago do Nascimento Ferreira, Josiel Neumann Kuk, Aurora T. R. Pozo, Silvia Regina Vergilio
Product selection based on upper confidence bound MOEA/D-DRA for testing software product lines. CEC (2016)
Olacir R. Castro Jr., Roberto Santana, Aurora T. R. Pozo
C-Multi: A competent multi-swarm approach for many-objective problems. Neurocomputing 180 (2016)
Murilo Zangari, Roberto Santana, Alexander Mendiburu, Aurora T. R. Pozo
On the Design of Hard mUBQP Instances. GECCO (2016)
Richard A. Gonçalves, Carolina P. de Almeida, Aurora T. R. Pozo
Upper Confidence Bound (UCB) Algorithms for Adaptive Operator Selection in MOEA/D. EMO (1) (2015)
Aurora T. R. Pozo, Heloisa de Arruda Camargo, Teresa Bernarda Ludermir
Progress in intelligent systems. Neurocomputing 163 (2015)
Andre Britto, Aurora T. R. Pozo
Reference-Point Based Multi-swarm Algorithm for Many-Objective Problems. BRACIS (2015)
Gian Mauricio Fritsche, Andrei Strickler, Aurora T. R. Pozo, Roberto Santana
Capturing Relationships in Multi-objective Optimization. BRACIS (2015)
Olacir R. Castro Jr., Aurora T. R. Pozo
Using Hyper-Heuristic to Select Leader and Archiving Methods for Many-Objective Problems. EMO (1) (2015)
Giovani Guizzo, Silvia Regina Vergilio, Aurora T. R. Pozo
Evaluating a Multi-objective Hyper-Heuristic for the Integration and Test Order Problem. BRACIS (2015)
Olacir R. Castro Jr., Aurora T. R. Pozo
A MOPSO based on hyper-heuristic to optimize many-objective problems. SIS (2014)
Wesley Klewerton Guez Assunção, Thelma Elita Colanzi, Silvia Regina Vergilio, Aurora T. R. Pozo
A multi-objective optimization approach for the integration and test order problem. Inf. Sci. 267 (2014)
Andre Britto, Aurora T. R. Pozo
Using reference points to update the archive of MOPSO algorithms in Many-Objective Optimization. Neurocomputing 127 (2014)
Arion de Campos Jr., Aurora T. R. Pozo, Elias P. Duarte Jr.
Evaluation of asynchronous multi-swarm particle optimization on several topologies. Concurr. Comput. Pract. Exp. 25 (8) (2013)
Wesley Klewerton Guez Assunção, Thelma Elita Colanzi, Silvia Regina Vergilio, Aurora T. R. Pozo
Determining Integration and Test Orders in the Presence of Modularization Restrictions. SBES (2013)
Andre Britto, Sanaz Mostaghim, Aurora T. R. Pozo
Iterated multi-swarm: a multi-swarm algorithm based on archiving methods. GECCO (2013)
Wesley Klewerton Guez Assunção, Thelma Elita Colanzi, Silvia Regina Vergilio, Aurora T. R. Pozo
On the Application of the Multi-Evolutionary and Coupling-Based Approach with Different Aspect-Class Integration Testing Strategies. SSBSE (2013)
Thelma Elita Colanzi, Silvia Regina Vergilio, Wesley Klewerton Guez Assunção, Aurora T. R. Pozo
Search Based Software Engineering: Review and analysis of the field in Brazil. J. Syst. Softw. 86 (4) (2013)
Arion de Campos Jr., Aurora T. R. Pozo, Elias P. Duarte Jr.
A Strategy to Solve MaOPs with Multiple Swarms Based on Broadcast Communication. BRACIS (2013)
Alexandre Rafael Lenz, Aurora T. R. Pozo, Silvia Regina Vergilio
Linking software testing results with a machine learning approach. Eng. Appl. Artif. Intell. 26 (5-6) (2013)
Andre Britto, Aurora T. R. Pozo
I-MOPSO: A Suitable PSO Algorithm for Many-Objective Optimization. SBRN (2012)
Olacir Rodrigues Castro Junior, Andre Britto, Aurora T. R. Pozo
A Comparison of methods for leader selection in many-objective problems. IEEE Congress on Evolutionary Computation (2012)
Andre Britto, Aurora T. R. Pozo
Using archiving methods to control convergence and diversity for Many-Objective Problems in Particle Swarm Optimization. IEEE Congress on Evolutionary Computation (2012)
Tiago Nobre, Silvia Regina Vergilio, Aurora T. R. Pozo
Reducing Interface Mutation Costs with Multiobjective Optimization Algorithms. Int. J. Nat. Comput. Res. 3 (3) (2012)
Andre B. de Carvalho, Aurora T. R. Pozo
Measuring the convergence and diversity of CDAS Multi-Objective Particle Swarm Optimization Algorithms: A study of many-objective problems. Neurocomputing 75 (1) (2012)
Olacir Rodrigues Castro Junior, Andre Britto, Aurora T. R. Pozo
Self-Controlling Dominance Particle Swarm Optimization. SBRN (2012)
Silvia Regina Vergilio, Aurora T. R. Pozo, João Carlos G. Árias, Rafael da Veiga Cabral, Tiago Nobre
Multi-objective optimization algorithms applied to the class integration and test order problem. Int. J. Softw. Tools Technol. Transf. 14 (4) (2012)
Adam S. Banzi, Tiago Nobre, Gabriel B. Pinheiro, João Carlos G. Árias, Aurora T. R. Pozo, Silvia Regina Vergilio
Selecting mutation operators with a multiobjective approach. Expert Syst. Appl. 39 (15) (2012)
Thelma Elita Colanzi, Wesley Klewerton Guez Assunção, Silvia Regina Vergilio, Aurora T. R. Pozo
Integration Test of Classes and Aspects with a Multi-Evolutionary and Coupling-Based Approach. SSBSE (2011)
Alexandre Rafael Lenz, Aurora T. R. Pozo, Silvia Regina Vergilio
An approach for clustering test data. LATW (2011)
Adam S. Banzi, Aurora T. R. Pozo, Elias P. Duarte Jr.
An Approach Based on Swarm Intelligence for Event Dissemination in Dynamic Networks. SRDS (2011)
Adam S. Banzi, Aurora T. R. Pozo, Elias P. Duarte Jr.
Bio-inspired event dissemination in dynamic and decentralized networks. GECCO (Companion) (2011)
Andre B. de Carvalho, Aurora T. R. Pozo
Analyzing the control of dominance area of solutions in particle swarm optimization for many-objective. HIS (2010)
Rafael da Veiga Cabral, Aurora T. R. Pozo, Silvia Regina Vergilio
A Pareto Ant Colony Algorithm Applied to the Class Integration and Test Order Problem. ICTSS (2010)
Andre B. de Carvalho, Aurora T. R. Pozo
The Control of Dominance Area in Particle Swarm Optimization Algorithms for Many-Objective Problems. SBRN (2010)
Arion de Campos Jr., Aurora T. R. Pozo, Silvia Regina Vergilio, Taylor Savegnago
Many-Objective Evolutionary Algorithms in the Composition of Web Services. SBRN (2010)
Luzia Vidal de Souza, Aurora T. R. Pozo, Joel Mauricio Corrêa da Rosa, Anselmo Chaves Neto
Applying correlation to enhance boosting technique using genetic programming as base learner. Appl. Intell. 33 (3) (2010)
Andre B. de Carvalho, Aurora T. R. Pozo, Silvia Regina Vergilio
A symbolic fault-prediction model based on multiobjective particle swarm optimization. J. Syst. Softw. 83 (5) (2010)
Matheus Rosendo, Aurora T. R. Pozo
Applying a Discrete Particle Swarm Optimization Algorithm to Combinatorial Problems. SBRN (2010)
Matheus Rosendo, Aurora T. R. Pozo
A hybrid Particle Swarm Optimization algorithm for combinatorial optimization problems. IEEE Congress on Evolutionary Computation (2010)
Elias P. Duarte Jr., Aurora T. R. Pozo, Bogdan Tomoyuki Nassu
Fault Diagnosis of Multiprocessor Systems Based on Genetic and Estimation of Distribution Algorithms: a Performance Evaluation. Int. J. Artif. Intell. Tools 19 (1) (2010)
Andre B. de Carvalho, Taylor Savegnago, Aurora T. R. Pozo
Swarm Intelligence for Rule Discovery in Data Mining. ICEIS (2) (2010)
Eduardo Oliveira Costa, Aurora T. R. Pozo, Silvia Regina Vergilio
A Genetic Programming Approach for Software Reliability Modeling. IEEE Trans. Reliab. 59 (1) (2010)
Luciano C. Ascari, Lucilia Yoshie Araki, Aurora T. R. Pozo, Silvia R. Vergilio
Exploring machine learning techniques for fault localization. LATW (2009)
Leonardo R. Emmendorfer, Aurora T. R. Pozo
Effective Linkage Learning Using Low-Order Statistics and Clustering. IEEE Trans. Evol. Comput. 13 (6) (2009)
Andre B. de Carvalho, Aurora T. R. Pozo, Silvia Regina Vergilio, Alexandre Lenz
Predicting Fault Proneness of Classes Trough a Multiobjective Particle Swarm Optimization Algorithm. ICTAI (2) (2008)
Rafael Caiuta, Aurora T. R. Pozo, Leonardo R. Emmendorfer, Silvia Regina Vergilio
Selecting software reliability models with a neural network meta classifier. IJCNN (2008)
Andre B. de Carvalho, Aurora T. R. Pozo
Non-Ordered Data Mining Rules Through Multi-Objective Particle Swarm Optimization: Dealing with Numeric and Discrete Attributes. HIS (2008)
Leonardo R. Emmendorfer, Aurora T. R. Pozo
Effective linkage learning using low-order statistics and clustering CoRR (2007)
Celso Y. Ishida, Aurora T. R. Pozo
Optimization of the AUC Criterion for Rule Subset Selection. ISDA (2007)
Luzia Vidal de Souza, Aurora T. R. Pozo, Joel Mauricio Corrêa da Rosa, Anselmo Chaves Neto
The boosting technique using correlation coefficient to improve time series forecasting accuracy. IEEE Congress on Evolutionary Computation (2007)
Luzia Vidal de Souza, Aurora T. R. Pozo, Anselmo Chaves Neto, Joel Mauricio Corrêa da Rosa
An Empirical Study of Time Series Forecasting Using Boosting Technique with Correlation Coefficient. ISDA (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Aurora T. R. Pozo