Aurora T. R. Pozo

Orcid: 0000-0001-5808-3919

Affiliations:
  • Federal University of Paraná (UFPR), Curitiba, Brazil


According to our database1, Aurora T. R. Pozo authored at least 157 papers between 1991 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
biomapp::chip: large-scale motif analysis.
BMC Bioinform., December, 2024

SMT: A High-Performance Approach for Counting Kmers.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
Creating deep neural networks for text classification tasks using grammar genetic programming.
Appl. Soft Comput., March, 2023

Federated Self-Supervised Learning for Intrusion Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
An analysis of the admissibility of the objective functions applied in evolutionary multi-objective clustering.
Inf. Sci., 2022

A grammar-based GP approach applied to the design of deep neural networks.
Genet. Program. Evolvable Mach., 2022

Global and local structure preserving GPU t-SNE methods for large-scale applications.
Expert Syst. Appl., 2022

On the cooperation of meta-heuristics for solving many-objective problems: An empirical analysis including benchmark and real-world problems.
Expert Syst. Appl., 2022

Portuguese Man-of-War Image Classification with Convolutional Neural Networks.
CoRR, 2022

Detecting Nested Structures Through Evolutionary Multi-objective Clustering.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

Expectation Maximization based algorithm applied to DNA sequence motif finder.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Towards a Better Understanding of Heuristic Approaches Applied to the Biological Motif Discovery.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
An Approach for the Generation of Multi-Objective Algorithms Applied to the Integration and Test Order Problem.
J. Softw. Eng. Res. Dev., 2021

Improving Barnes-Hut t-SNE Algorithm in Modern GPU Architectures with Random Forest KNN and Simulated Wide-Warp.
ACM J. Emerg. Technol. Comput. Syst., 2021

An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem.
Expert Syst. Appl., 2021

A Survey of Evolutionary Multi-Objective Clustering Approaches.
CoRR, 2021

Influence of a GRASP Initialization on the Performance of the Hybrid Genetic Search with Adaptive Diversity Control.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Warp-centric K-Nearest Neighbor Graphs construction on GPU.
Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Δ-MOCK.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Using deep Q-network for selection hyper-heuristics.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems.
Proceedings of the Genetic Programming - 24th European Conference, 2021

Online Selection of Heuristic Operators with Deep Q-Network: A Study on the HyFlex Framework.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

COVID-19 Portal: Machine Learning Techniques Applied to the Analysis of Judicial Processes Related to the Pandemic.
Proceedings of the New Trends in Database and Information Systems, 2021

2020
On the use of fitness landscape features in meta-learning based algorithm selection for the quadratic assignment problem.
Theor. Comput. Sci., 2020

Preface.
Nat. Comput., 2020

Smart Reckoning: Reducing the traffic of online multiplayer games using machine learning for movement prediction.
Entertain. Comput., 2020

Improving Barnes-Hut t-SNE Scalability in GPU with Efficient Memory Access Strategies.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Symmetric grammar approach for designing segmentation models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

The Analysis of a Cooperative Hyper-Heuristic on a Constrained Real-world Many-objective Continuous Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Classification of Relationship in Argumentation Using Graph Convolutional Network.
Proceedings of the ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 2020

2019
Parallel multi-swarm PSO strategies for solving many objective optimization problems.
J. Parallel Distributed Comput., 2019

Evolving convolutional neural networks through grammatical evolution.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Cooperative based hyper-heuristic for many-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Automatic Design of Convolutional Neural Networks using Grammatical Evolution.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Combining Fitness Landscape Analysis and Adaptive Operator Selection in Multi and Many-Objective Optimization.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Evaluating selection methods on hyper-heuristic multi-objective particle swarm optimization.
J. Heuristics, 2018

An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA.
Appl. Soft Comput., 2018

A Meta-Learning Algorithm Selection Approach for the Quadratic Assignment Problem.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A New Adaptive Operator Selection for NSGA-III Applied to CEC 2018 Many-Objective Benchmark.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

A Hyper-Heuristic Collaborative Multi-objective Evolutionary Algorithm.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Selecting Algorithms for the Quadratic Assignment Problem with a Multi-label Meta-Learning Approach.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study.
Swarm Intell., 2017

Transfer weight functions for injecting problem information in the multi-objective CMA-ES.
Memetic Comput., 2017

Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem.
Inf. Sci., 2017

A decomposition-based binary ACO algorithm for the multiobjective UBQP.
Neurocomputing, 2017

Hyper-Heuristic Based Product Selection for Software Product Line Testing.
IEEE Comput. Intell. Mag., 2017

Meta-learning based selection of software reliability models.
Autom. Softw. Eng., 2017

Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants.
Appl. Soft Comput., 2017

A multi-objective and evolutionary hyper-heuristic applied to the Integration and Test Order Problem.
Appl. Soft Comput., 2017

A distributed framework for cooperation of many-objective evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A study on auto-configuration of Multi-Objective Particle Swarm Optimization Algorithm.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Automated design of hyper-heuristics components to solve the PSP problem with HP model.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A Multi-Armed Bandit selection strategy for Hyper-heuristics.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Combining CMA-ES and MOEA/DD for many-objective optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Investigating Grammar-Based Design of Multi-objective Particle Swarm Optimization Algorithm.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

A Heterogeneous Distributed Approach for Many-Objective Optimization.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
C-Multi: A competent multi-swarm approach for many-objective problems.
Neurocomputing, 2016

Deriving products for variability test of Feature Models with a hyper-heuristic approach.
Appl. Soft Comput., 2016

On the Design of Hard mUBQP Instances.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Grammatical Evolution for the Multi-Objective Integration and Test Order Problem.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Product selection based on upper confidence bound MOEA/D-DRA for testing software product lines.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Adaptive Operator Selection in NSGA-III.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
Progress in intelligent systems.
Neurocomputing, 2015

MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems.
CoRR, 2015

A Hyper-Heuristic for the Multi-Objective Integration and Test Order Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Upper Confidence Bound (UCB) Algorithms for Adaptive Operator Selection in MOEA/D.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Using Hyper-Heuristic to Select Leader and Archiving Methods for Many-Objective Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Multiobjective Binary ACO for Unconstrained Binary Quadratic Programming.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

Evaluating a Multi-objective Hyper-Heuristic for the Integration and Test Order Problem.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

Capturing Relationships in Multi-objective Optimization.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

A Multi-armed Bandit Hyper-Heuristic.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

Reference-Point Based Multi-swarm Algorithm for Many-Objective Problems.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
Evaluating different strategies for integration testing of aspect-oriented programs.
J. Braz. Comput. Soc., 2014

A multi-objective optimization approach for the integration and test order problem.
Inf. Sci., 2014

Using reference points to update the archive of MOPSO algorithms in Many-Objective Optimization.
Neurocomputing, 2014

A MOPSO based on hyper-heuristic to optimize many-objective problems.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Parallel MOEA/D-ACO on GPU.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

A GPU Implementation of MOEA/D-ACO for the Multiobjective Traveling Salesman Problem.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

A Hybrid Competent Multi-swarm Approach for Many-Objective Problems.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

Archive Based Multi-swarm Algorithm for Many-Objective Problems.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Generating Integration Test Orders for Aspect Oriented Software with Multi-objective Algorithms.
RITA, 2013

Search Based Software Engineering: Review and analysis of the field in Brazil.
J. Syst. Softw., 2013

Linking software testing results with a machine learning approach.
Eng. Appl. Artif. Intell., 2013

Evaluation of asynchronous multi-swarm particle optimization on several topologies.
Concurr. Comput. Pract. Exp., 2013

On the Application of the Multi-Evolutionary and Coupling-Based Approach with Different Aspect-Class Integration Testing Strategies.
Proceedings of the Search Based Software Engineering - 5th International Symposium, 2013

Determining Integration and Test Orders in the Presence of Modularization Restrictions.
Proceedings of the 27th Brazilian Symposium on Software Engineering, 2013

Iterated multi-swarm: a multi-swarm algorithm based on archiving methods.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evaluation of gossip Vs. broadcast as communication strategies for multiple swarms solving MaOPs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A Strategy to Solve MaOPs with Multiple Swarms Based on Broadcast Communication.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
Multi-objective optimization algorithms applied to the class integration and test order problem.
Int. J. Softw. Tools Technol. Transf., 2012

Measuring the convergence and diversity of CDAS Multi-Objective Particle Swarm Optimization Algorithms: A study of many-objective problems.
Neurocomputing, 2012

Reducing Interface Mutation Costs with Multiobjective Optimization Algorithms.
Int. J. Nat. Comput. Res., 2012

Selecting mutation operators with a multiobjective approach.
Expert Syst. Appl., 2012

Search-Based Evolution of XML Schemas.
Comput. Informatics, 2012

Use of Backpropagation and Differential Evolution Algorithms to Training MLPs.
Proceedings of the 31st International Conference of the Chilean Computer Science Society, 2012

Self-Controlling Dominance Particle Swarm Optimization.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

I-MOPSO: A Suitable PSO Algorithm for Many-Objective Optimization.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

A Comparison of methods for leader selection in many-objective problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Using archiving methods to control convergence and diversity for Many-Objective Problems in Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Application of Bio-inspired Metaheuristics in the Data Clustering Problem.
CLEI Electron. J., 2011

Integration Test of Classes and Aspects with a Multi-Evolutionary and Coupling-Based Approach.
Proceedings of the Search Based Software Engineering - Third International Symposium, 2011

An Approach Based on Swarm Intelligence for Event Dissemination in Dynamic Networks.
Proceedings of the 30th IEEE Symposium on Reliable Distributed Systems (SRDS 2011), 2011

Search Based Software Engineering: A Review from the Brazilian Symposium on Software Engineering.
Proceedings of the 25th Brazilian Symposium on Software Engineering, 2011

An approach for clustering test data.
Proceedings of the 12th Latin American Test Workshop, 2011

Bio-inspired event dissemination in dynamic and decentralized networks.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Establishing integration test orders of classes with several coupling measures.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
A Non-ordered Rule Induction Algorithm through Multi-Objective Particle Swarm Optimization: Issues and Applications.
Proceedings of the Multi-Objective Swarm Intelligent Systems - Theory & Experiences, 2010

A Genetic Programming Approach for Software Reliability Modeling.
IEEE Trans. Reliab., 2010

A symbolic fault-prediction model based on multiobjective particle swarm optimization.
J. Syst. Softw., 2010

Fault Diagnosis of Multiprocessor Systems Based on Genetic and Estimation of Distribution Algorithms: a Performance Evaluation.
Int. J. Artif. Intell. Tools, 2010

Applying correlation to enhance boosting technique using genetic programming as base learner.
Appl. Intell., 2010

Empirical Studies on Application of Genetic Algorithms and Ant Colony Optimization for Data Clustering.
Proceedings of the SCCC 2010, 2010

Applying a Discrete Particle Swarm Optimization Algorithm to Combinatorial Problems.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

The Control of Dominance Area in Particle Swarm Optimization Algorithms for Many-Objective Problems.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Many-Objective Evolutionary Algorithms in the Composition of Web Services.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

A Pareto Ant Colony Algorithm Applied to the Class Integration and Test Order Problem.
Proceedings of the Testing Software and Systems, 2010

Swarm Intelligence for Rule Discovery in Data Mining.
Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8, 2010

Analyzing the control of dominance area of solutions in particle swarm optimization for many-objective.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

A hybrid Particle Swarm Optimization algorithm for combinatorial optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm?.
Proceedings of the Innovative Applications in Data Mining, 2009

Effective Linkage Learning Using Low-Order Statistics and Clustering.
IEEE Trans. Evol. Comput., 2009

Exploring machine learning techniques for fault localization.
Proceedings of the 10th Latin American Test Workshop, 2009

2008
A Clustering-Based Approach for Linkage Learning Applied to Multimodal Optimization.
Proceedings of the Linkage in Evolutionary Computation, 2008

Selecting software reliability models with a neural network meta classifier.
Proceedings of the International Joint Conference on Neural Networks, 2008

Predicting Fault Proneness of Classes Trough a Multiobjective Particle Swarm Optimization Algorithm.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Non-Ordered Data Mining Rules Through Multi-Objective Particle Swarm Optimization: Dealing with Numeric and Discrete Attributes.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Exploring Multi-objective PSO and GRASP-PR for Rule Induction.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2008

2007
Exploring Genetic Programming and Boosting Techniques to Model Software Reliability.
IEEE Trans. Reliab., 2007

XML Schema Evolution by Context Free Grammar Inference.
Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007

An Empirical Study of Time Series Forecasting Using Boosting Technique with Correlation Coefficient.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Optimization of the AUC Criterion for Rule Subset Selection.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

An Incremental Approach for Niching and Building Block Detection via Clustering.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Multiple objective particle swarm for classification-rule discovery.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

The boosting technique using correlation coefficient to improve time series forecasting accuracy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

An empirical evaluation of linkage learning strategies for multimodal optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
A Grammar-guided Genetic Programming Framework Configured for Data Mining and Software Testing.
Int. J. Softw. Eng. Knowl. Eng., 2006

A New Approach to Genetic Programming based on Evolution Strategies.
Proceedings of the IEEE International Conference on Systems, 2006

Using Correlation to Improve Boosting Technique: An Application for Time Series Forecasting.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Using Boosting Techniques to Improve Software Reliability Models Based on Genetic Programming.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

A (mu + lambda) - GP Algorithm and its use for Regression Problems.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

2005
Modeling Software Reliability Growth with Genetic Programming.
Proceedings of the 16th International Symposium on Software Reliability Engineering (ISSRE 2005), 2005

Using Prior Knowledge to Improve the Performance of an Estimation of Distribution Algorithm Applied to Feature Selection.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

A comparison of evolutionary algorithms for system-level diagnosis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Bayesian Automatic Programming.
Proceedings of the Genetic Programming, 8th European Conference, 2005

2003
Exploring Machine Learning Techniques for Software Size Estimation.
Proceedings of the 23rd International Conference of the Chilean Computer Science Society (SCCC 2003), 2003

Grammatically Based Genetic Programming for Mining Relational Databases.
Proceedings of the 23rd International Conference of the Chilean Computer Science Society (SCCC 2003), 2003

2002
Controlling the Population Size in Genetic Programming.
Proceedings of the Advances in Artificial Intelligence, 2002

Grammar-Guided Genetic Programming and Automatically Defined Functions.
Proceedings of the Advances in Artificial Intelligence, 2002

GPSQL Miner: SQL-grammar genetic programming in data mining.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Genetic Algorithm Restricted by Tabu Lists in Data Mining.
Proceedings of the 21st International Conference of the Chilean Computer Science Society (SCCC 2001), 2001

2000
A Genetic Classifier Tool.
Proceedings of the 20st International Conference of the Chilean Computer Science Society (SCCC 2000), 2000

Using phenotypic sharing in a classifier tool.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1991
"An AI - Based Training for Nosocomial Infections Control".
Proceedings of the Medical Informatics Europe 1991, 1991


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