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ORCIDAurora T. R. Pozo
Aurora Trinidad Ramirez Pozo
Person information
- affiliation: Federal University of Paraná (UFPR), Curitiba, Brazil
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2020 – today
- 2024
[j48]Jader M. Caldonazzo Garbelini, Danilo Sipoli Sanches, Aurora T. R. Pozo
:
biomapp::chip: large-scale motif analysis. BMC Bioinform. 25(1): 128 (2024)- [j47]Heloisa Fernanda Rocha, Lorena Nascimento, Leonardo Camargo, Mauricio Noernberg, Aurora Trinidad Ramirez Pozo, Carmem S. Hara:
Identifying Occurrences of the Cnidarian Physalia physalis in Social Media Data. Comput. Sci. Inf. Syst. 21(4): 1887-1911 (2024) - [j46]Cristina Y. Morimoto, Aurora Trinidad Ramirez Pozo, Marcílio Carlos Pereira de Souto:
An adaptive evolutionary multi-objective clustering based on the data properties of the base partitions. Expert Syst. Appl. 245: 123102 (2024) - [c105]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: 545-552 - 2023
- [j45]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: 110009 (2023) - [c104]Bruno Henrique Meyer, Aurora T. R. Pozo, Michele Nogueira, Wagner M. Nunan Zola:
Federated Self-Supervised Learning for Intrusion Detection. SSCI 2023: 822-828 - 2022
- [j44]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: 116343 (2022) - [j43]Bruno Henrique Meyer, Aurora Trinidad Ramirez Pozo, Wagner M. Nunan Zola:
Global and local structure preserving GPU t-SNE methods for large-scale applications. Expert Syst. Appl. 201: 116918 (2022) - [j42]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): 427-452 (2022) - [j41]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: 1143-1162 (2022) - [c103]Augusto Lopez Dantas, Aurora T. R. Pozo:
The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic. BRACIS (1) 2022: 45-60 - [c102]Jader M. Caldonazzo Garbelini, Danilo Sipoli Sanches, Aurora Trinidad Ramirez Pozo:
Towards a Better Understanding of Heuristic Approaches Applied to the Biological Motif Discovery. BRACIS (1) 2022: 180-194 - [c101]Jader M. Caldonazzo Garbelini, Danilo Sipoli Sanches, Aurora Trinidad Ramirez Pozo:
Expectation Maximization based algorithm applied to DNA sequence motif finder. CEC 2022: 1-8 - [c100]Cristina Y. Morimoto, Aurora T. R. Pozo, Marcílio Carlos Pereira de Souto:
Detecting Nested Structures Through Evolutionary Multi-objective Clustering. EvoApplications 2022: 369-385 - [i6]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 abs/2206.09483 (2022) - [i5]Alessandra Carneiro, Lorena Nascimento, Mauricio Noernberg, Carmem S. Hara, Aurora T. R. Pozo:
Portuguese Man-of-War Image Classification with Convolutional Neural Networks. CoRR abs/2207.01171 (2022) - 2021
- [j40]Josiel Neumann Kuk, Richard Aderbal Gonçalves, Lucas Marcondes Pavelski, Sandra Mara Guse Scós Venske, Carolina Paula de Almeida, Aurora Trinidad Ramirez Pozo:
An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem. Expert Syst. Appl. 165: 113774 (2021) - [j39]Bruno Henrique Meyer, Aurora Trinidad Ramirez Pozo, Wagner M. Nunan Zola:
Improving Barnes-Hut t-SNE Algorithm in Modern GPU Architectures with Random Forest KNN and Simulated Wide-Warp. ACM J. Emerg. Technol. Comput. Syst. 17(4): 53:1-53:26 (2021) - [j38]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: 4:1-4:18 (2021) - [c99]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: 109-120 - [c98]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: 280-294 - [c97]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: 98-113 - [c96]Augusto Lopez Dantas, Alexander Fiabane do Rego, Aurora T. R. Pozo:
Using deep Q-network for selection hyper-heuristics. GECCO Companion 2021: 1488-1492 - [c95]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: 46-54 - [c94]Bruno Henrique Meyer, Aurora T. R. Pozo, Wagner M. Nunan Zola:
Warp-centric K-Nearest Neighbor Graphs construction on GPU. ICPP Workshops 2021: 5:1-5:10 - [c93]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: 1-8 - [i4]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. CoRR abs/2110.07521 (2021) - [i3]Cristina Y. Morimoto, Aurora T. R. Pozo, Marcilio C. P. de Souto:
A Survey of Evolutionary Multi-Objective Clustering Approaches. CoRR abs/2110.08100 (2021) - 2020
- [j37]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: 100336 (2020) - [j36]Aurora T. R. Pozo, Heloisa de Arruda Camargo:
Preface. Nat. Comput. 19(3): 477-479 (2020) - [j35]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: 62-75 (2020) - [c92]Dimmy Magalhães, Aurora T. R. Pozo:
Classification of Relationship in Argumentation Using Graph Convolutional Network. ADBIS/TPDL/EDA Workshops 2020: 60-71 - [c91]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: 1-8 - [c90]Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana:
A Symmetric grammar approach for designing segmentation models. CEC 2020: 1-8 - [c89]Bruno Henrique Meyer, Aurora Trinidad Ramirez Pozo, Wagner M. Nunan Zola:
Improving Barnes-Hut t-SNE Scalability in GPU with Efficient Memory Access Strategies. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j34]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: 13-33 (2019) - [c88]Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Roberto Santana:
Automatic Design of Convolutional Neural Networks using Grammatical Evolution. BRACIS 2019: 329-334 - [c87]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: 503-508 - [c86]Ricardo Henrique Remes de Lima, Aurora T. R. Pozo:
Evolving convolutional neural networks through grammatical evolution. GECCO (Companion) 2019: 179-180 - [c85]Gian Mauricio Fritsche, Aurora T. R. Pozo:
Cooperative based hyper-heuristic for many-objective optimization. GECCO 2019: 550-558 - 2018
- [j33]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: 963-973 (2018) - [j32]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): 581-616 (2018) - [c84]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: 7-12 - [c83]Augusto Lopez Dantas, Aurora T. R. Pozo:
Selecting Algorithms for the Quadratic Assignment Problem with a Multi-label Meta-Learning Approach. BRACIS 2018: 175-180 - [c82]Gian Mauricio Fritsche, Aurora T. R. Pozo:
A Hyper-Heuristic Collaborative Multi-objective Evolutionary Algorithm. BRACIS 2018: 354-359 - [c81]Augusto Lopez Dantas, Aurora Trinidad Ramirez Pozo:
A Meta-Learning Algorithm Selection Approach for the Quadratic Assignment Problem. CEC 2018: 1-8 - 2017
- [j31]Murilo Zangari de Souza, Roberto Santana, Alexander Mendiburu, Aurora Trinidad Ramirez Pozo:
Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants. Appl. Soft Comput. 53: 88-96 (2017) - [j30]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: 331-344 (2017) - [j29]Rafael Caiuta, Aurora T. R. Pozo, Silvia Regina Vergilio:
Meta-learning based selection of software reliability models. Autom. Softw. Eng. 24(3): 575-602 (2017) - [j28]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): 34-45 (2017) - [j27]Murilo Zangari, Aurora T. R. Pozo, Roberto Santana, Alexander Mendiburu:
A decomposition-based binary ACO algorithm for the multiobjective UBQP. Neurocomputing 246: 58-68 (2017) - [j26]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: 137-154 (2017) - [j25]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): 153-180 (2017) - [j24]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): 101-130 (2017) - [c80]Ricardo Henrique Remes de Lima, Aurora Trinidad Ramirez Pozo:
Investigating Grammar-Based Design of Multi-objective Particle Swarm Optimization Algorithm. BRACIS 2017: 270-275 - [c79]Gian Mauricio Fritsche, Aurora Trinidad Ramirez Pozo:
A Heterogeneous Distributed Approach for Many-Objective Optimization. BRACIS 2017: 288-293 - [c78]Richard Aderbal Gonçalves, Carolina Paula de Almeida, Sandra Mara Guse Scós Venske, Myriam Regattieri de Biase da Silva Delgado, Aurora Trinidad Ramirez Pozo:
A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization. BRACIS 2017: 390-395 - [c77]Lucas Prestes, Myriam Regattieri de Biase da Silva Delgado, Richard Aderbal Gonçalves, Carolina Paula de Almeida, Aurora Trinidad Ramirez Pozo:
A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique. BRACIS 2017: 396-401 - [c76]Alexandre Silvestre Ferreira, Richard Aderbal Gonçalves, Aurora T. R. Pozo:
A Multi-Armed Bandit selection strategy for Hyper-heuristics. CEC 2017: 525-532 - [c75]Ricardo Henrique Remes de Lima, Aurora Trinidad Ramirez Pozo:
A study on auto-configuration of Multi-Objective Particle Swarm Optimization Algorithm. CEC 2017: 718-725 - [c74]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: 1451-1458 - [c73]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: 1848-1855 - [c72]Gian Mauricio Fritsche, Aurora T. R. Pozo:
A distributed framework for cooperation of many-objective evolutionary algorithms. GECCO (Companion) 2017: 1804-1811 - 2016
- [j23]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: 1232-1242 (2016) - [j22]Olacir R. Castro Jr., Roberto Santana, Aurora T. R. Pozo:
C-Multi: A competent multi-swarm approach for many-objective problems. Neurocomputing 180: 68-78 (2016) - [c71]Andrei Strickler, Olacir Rodrigues Castro Junior, Aurora T. R. Pozo, Roberto Santana:
Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms. BRACIS 2016: 7-12 - [c70]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: 181-186 - [c69]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: 4135-4142 - [c68]Murilo Zangari, Roberto Santana, Alexander Mendiburu, Aurora T. R. Pozo:
On the Design of Hard mUBQP Instances. GECCO 2016: 421-428 - [c67]Thainá Mariani, Giovani Guizzo, Silvia Regina Vergilio, Aurora T. R. Pozo:
Grammatical Evolution for the Multi-Objective Integration and Test Order Problem. GECCO 2016: 1069-1076 - 2015
- [j21]Aurora T. R. Pozo, Heloisa de Arruda Camargo, Teresa Bernarda Ludermir:
Progress in intelligent systems. Neurocomputing 163: 76-77 (2015) - [c66]Giovani Guizzo, Silvia Regina Vergilio, Aurora T. R. Pozo:
Evaluating a Multi-objective Hyper-Heuristic for the Integration and Test Order Problem. BRACIS 2015: 1-6 - [c65]Alexandre Silvestre Ferreira, Richard Aderbal Gonçalves, Aurora Trinidad Ramirez Pozo:
A Multi-armed Bandit Hyper-Heuristic. BRACIS 2015: 13-18 - [c64]Murilo Zangari de Souza, Aurora Trinidad Ramirez Pozo:
Multiobjective Binary ACO for Unconstrained Binary Quadratic Programming. BRACIS 2015: 86-91 - [c63]Gian Mauricio Fritsche, Andrei Strickler, Aurora T. R. Pozo, Roberto Santana:
Capturing Relationships in Multi-objective Optimization. BRACIS 2015: 222-227 - [c62]Andre Britto, Aurora T. R. Pozo:
Reference-Point Based Multi-swarm Algorithm for Many-Objective Problems. BRACIS 2015: 252-257 - [c61]Olacir R. Castro Jr., Aurora T. R. Pozo:
Using Hyper-Heuristic to Select Leader and Archiving Methods for Many-Objective Problems. EMO (1) 2015: 109-123 - [c60]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: 411-425 - [c59]Giovani Guizzo, Gian Mauricio Fritsche, Silvia Regina Vergilio, Aurora Trinidad Ramirez Pozo:
A Hyper-Heuristic for the Multi-Objective Integration and Test Order Problem. GECCO 2015: 1343-1350 - [i2]Murilo Zangari de Souza, Roberto Santana, Aurora Trinidad Ramirez Pozo, Alexander Mendiburu:
MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems. CoRR abs/1511.05625 (2015) - 2014
- [j20]Andre Britto, Aurora T. R. Pozo:
Using reference points to update the archive of MOPSO algorithms in Many-Objective Optimization. Neurocomputing 127: 78-87 (2014) - [j19]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: 119-139 (2014) - [j18]Wesley Klewerton Guez Assunção, Thelma Elita Colanzi, Silvia Regina Vergilio, Aurora Trinidad Ramirez Pozo:
Evaluating different strategies for integration testing of aspect-oriented programs. J. Braz. Comput. Soc. 20(1): 9:1-9:17 (2014) - [c58]Andre Britto, Sanaz Mostaghim, Aurora Trinidad Ramirez Pozo:
Archive Based Multi-swarm Algorithm for Many-Objective Problems. BRACIS 2014: 79-84 - [c57]Murilo Zangari de Souza, Aurora Trinidad Ramirez Pozo:
A GPU Implementation of MOEA/D-ACO for the Multiobjective Traveling Salesman Problem. BRACIS 2014: 324-329 - [c56]Olacir Rodrigues Castro Junior, Aurora Trinidad Ramirez Pozo:
A Hybrid Competent Multi-swarm Approach for Many-Objective Problems. BRACIS 2014: 426-431 - [c55]Murilo Zangari de Souza, Aurora Trinidad Ramirez Pozo:
Parallel MOEA/D-ACO on GPU. IBERAMIA 2014: 405-417 - [c54]Olacir R. Castro Jr., Aurora T. R. Pozo:
A MOPSO based on hyper-heuristic to optimize many-objective problems. SIS 2014: 251-258 - 2013
- [j17]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): 1057-1071 (2013) - [j16]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): 1631-1640 (2013) - [j15]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): 970-984 (2013) - [j14]Wesley Klewerton Guez Assunção, Thelma Elita Colanzi, Silvia Regina Vergilio, Aurora Trinidad Ramirez Pozo:
Generating Integration Test Orders for Aspect Oriented Software with Multi-objective Algorithms. RITA 20(2): 301-327 (2013) - [c53]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: 256-262 - [c52]Arion de Campos Jr., Aurora Trinidad Ramirez Pozo, Elias P. Duarte Jr.:
Evaluation of gossip Vs. broadcast as communication strategies for multiple swarms solving MaOPs. IEEE Congress on Evolutionary Computation 2013: 1499-1506 - [c51]Andre Britto, Sanaz Mostaghim, Aurora T. R. Pozo:
Iterated multi-swarm: a multi-swarm algorithm based on archiving methods. GECCO 2013: 583-590 - [c50]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: 31-40 - [c49]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: 19-33 - 2012
- [j13]Julio Cesar Teodoro Silva, Aurora Trinidad Ramirez Pozo, Silvia Regina Vergilio, Martin A. Musicante:
Search-Based Evolution of XML Schemas. Comput. Informatics 31(3): 573- (2012) - [j12]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): 12131-12142 (2012) - [j11]Tiago Nobre, Silvia Regina Vergilio, Aurora T. R. Pozo:
Reducing Interface Mutation Costs with Multiobjective Optimization Algorithms. Int. J. Nat. Comput. Res. 3(3): 21-40 (2012) - [j10]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): 43-51 (2012) - [j9]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): 461-475 (2012) - [c48]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: 1-8 - [c47]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: 1-8 - [c46]Andre Britto, Aurora T. R. Pozo:
I-MOPSO: A Suitable PSO Algorithm for Many-Objective Optimization. SBRN 2012: 166-171 - [c45]Olacir Rodrigues Castro Junior, Andre Britto, Aurora T. R. Pozo:
Self-Controlling Dominance Particle Swarm Optimization. SBRN 2012: 172-177 - [c44]Luiz Carlos Camargo, Hegler Correa Tissot, Aurora Trinidad Ramirez Pozo:
Use of Backpropagation and Differential Evolution Algorithms to Training MLPs. SCCC 2012: 78-86 - [e2]Leliane Nunes de Barros, Marcelo Finger, Aurora T. R. Pozo, Gustavo Alberto Giménez Lugo, Marcos A. Castilho:
Advances in Artificial Intelligence - SBIA 2012 - 21th Brazilian Symposium on Artificial Intelligence, Curitiba, Brazil, October 20-25, 2012. Proceedings. Lecture Notes in Computer Science 7589, Springer 2012, ISBN 978-3-642-34458-9 [contents] - [e1]Ana Carolina Lorena, Carlos Eduardo Thomaz, Aurora Trinidad Ramirez Pozo:
2012 Brazilian Symposium on Neural Networks, Curitiba, Paraná, Brazil, October 20-25, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-2641-4 [contents] - 2011
- [j8]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:
Application of Bio-inspired Metaheuristics in the Data Clustering Problem. CLEI Electron. J. 14(3) (2011) - [c43]Adam S. Banzi, Aurora T. R. Pozo, Elias P. Duarte Jr.:
Bio-inspired event dissemination in dynamic and decentralized networks. GECCO (Companion) 2011: 223-224 - [c42]Wesley Klewerton Guez Assunção, Thelma Elita Colanzi, Aurora Trinidad Ramirez Pozo, Silvia Regina Vergilio:
Establishing integration test orders of classes with several coupling measures. GECCO 2011: 1867-1874 - [c41]Alexandre Rafael Lenz, Aurora T. R. Pozo, Silvia Regina Vergilio:
An approach for clustering test data. LATW 2011: 1-6 - [c40]Silvia Regina Vergilio, Thelma Elita Colanzi, Aurora Trinidad Ramirez Pozo, Wesley Klewerton Guez Assunção:
Search Based Software Engineering: A Review from the Brazilian Symposium on Software Engineering. SBES 2011: 50-55 - [c39]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: 121-126 - [c38]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: 188-203 - 2010
- [j7]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): 291-301 (2010) - [j6]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): 1-18 (2010) - [j5]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): 868-882 (2010) - [j4]Eduardo Oliveira Costa, Aurora T. R. Pozo, Silvia Regina Vergilio:
A Genetic Programming Approach for Software Reliability Modeling. IEEE Trans. Reliab. 59(1): 222-230 (2010) - [c37]Matheus Rosendo, Aurora T. R. Pozo:
A hybrid Particle Swarm Optimization algorithm for combinatorial optimization problems. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c36]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: 103-108 - [c35]Andre B. de Carvalho, Taylor Savegnago, Aurora T. R. Pozo:
Swarm Intelligence for Rule Discovery in Data Mining. ICEIS (2) 2010: 314-319 - [c34]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: 16-29 - [c33]Andre B. de Carvalho, Aurora T. R. Pozo:
The Control of Dominance Area in Particle Swarm Optimization Algorithms for Many-Objective Problems. SBRN 2010: 140-145 - [c32]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: 152-157 - [c31]Matheus Rosendo, Aurora T. R. Pozo:
Applying a Discrete Particle Swarm Optimization Algorithm to Combinatorial Problems. SBRN 2010: 235-240 - [c30]Thelma Elita Colanzi, Wesley Klewerton Guez Assunção, Aurora Trinidad Ramirez Pozo, Ana Cristina B. Kochem Vendramin, Diogo Augusto Barros Pereira:
Empirical Studies on Application of Genetic Algorithms and Ant Colony Optimization for Data Clustering. SCCC 2010: 1-10 - [p3]Andre B. de Carvalho, Aurora T. R. Pozo, Silvia Regina Vergilio:
A Non-ordered Rule Induction Algorithm through Multi-Objective Particle Swarm Optimization: Issues and Applications. Multi-Objective Swarm Intelligent System 2010: 17-44
2000 – 2009
- 2009
- [j3]Leonardo R. Emmendorfer, Aurora T. R. Pozo:
Effective Linkage Learning Using Low-Order Statistics and Clustering. IEEE Trans. Evol. Comput. 13(6): 1233-1246 (2009) - [c29]Luciano C. Ascari, Lucilia Yoshie Araki, Aurora T. R. Pozo, Silvia R. Vergilio:
Exploring machine learning techniques for fault localization. LATW 2009: 1-6 - [p2]Celso Y. Ishida, Aurora T. R. Pozo, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm?. Innovative Applications in Data Mining 2009: 47-70 - 2008
- [c28]Celso Y. Ishida, Andre B. de Carvalho, Aurora Trinidad Ramirez Pozo, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
Exploring Multi-objective PSO and GRASP-PR for Rule Induction. EvoCOP 2008: 73-84 - [c27]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: 495-500 - [c26]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: 387-394 - [c25]Rafael Caiuta, Aurora T. R. Pozo, Leonardo R. Emmendorfer, Silvia Regina Vergilio:
Selecting software reliability models with a neural network meta classifier. IJCNN 2008: 3747-3754 - [p1]Leonardo R. Emmendorfer, Aurora T. R. Pozo:
A Clustering-Based Approach for Linkage Learning Applied to Multimodal Optimization. Linkage in Evolutionary Computation 2008: 225-248 - 2007
- [j2]Eduardo Oliveira Costa, Gustavo A. de Souza, Aurora Trinidad Ramirez Pozo, Silvia Regina Vergilio:
Exploring Genetic Programming and Boosting Techniques to Model Software Reliability. IEEE Trans. Reliab. 56(3): 422-434 (2007) - [c24]Leonardo R. Emmendorfer, Aurora Trinidad Ramirez Pozo:
An empirical evaluation of linkage learning strategies for multimodal optimization. IEEE Congress on Evolutionary Computation 2007: 326-333 - [c23]Augusto de Almeida Prado G. Toracio, Aurora Trinidad Ramirez Pozo:
Multiple objective particle swarm for classification-rule discovery. IEEE Congress on Evolutionary Computation 2007: 684-691 - [c22]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: 1288-1295 - [c21]Leonardo R. Emmendorfer, Aurora Trinidad Ramirez Pozo:
An Incremental Approach for Niching and Building Block Detection via Clustering. ISDA 2007: 303-308 - [c20]Celso Y. Ishida, Aurora T. R. Pozo:
Optimization of the AUC Criterion for Rule Subset Selection. ISDA 2007: 497-502 - [c19]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: 807-812 - [c18]Julio C. T. da Silva, Martin A. Musicante, Aurora Trinidad Ramirez Pozo, Silvia Regina Vergilio:
XML Schema Evolution by Context Free Grammar Inference. SEKE 2007: 444- - [i1]Leonardo R. Emmendorfer, Aurora T. R. Pozo:
Effective linkage learning using low-order statistics and clustering. CoRR abs/0710.2782 (2007) - 2006
- [j1]Silvia Regina Vergilio, Aurora Trinidad Ramirez Pozo:
A Grammar-guided Genetic Programming Framework Configured for Data Mining and Software Testing. Int. J. Softw. Eng. Knowl. Eng. 16(2): 245-268 (2006) - [c17]Eduardo Oliveira Costa, Aurora Trinidad Ramirez Pozo:
A (mu + lambda) - GP Algorithm and its use for Regression Problems. ICTAI 2006: 10-17 - [c16]Luzia Vidal de Souza, Aurora Trinidad Ramirez Pozo, Anselmo Chaves Neto:
Using Correlation to Improve Boosting Technique: An Application for Time Series Forecasting. ICTAI 2006: 26-32 - [c15]Eduardo Oliveira Costa, Aurora T. R. Pozo, Silvia Regina Vergilio:
Using Boosting Techniques to Improve Software Reliability Models Based on Genetic Programming. ICTAI 2006: 643-650 - [c14]Eduardo Oliveira Costa, Aurora Trinidad Ramirez Pozo:
A New Approach to Genetic Programming based on Evolution Strategies. SMC 2006: 4832-4837 - 2005
- [c13]Evandro Nunes Regolin, Aurora Trinidad Ramirez Pozo:
Bayesian Automatic Programming. EuroGP 2005: 38-49 - [c12]Bogdan Tomoyuki Nassu, Elias Procópio Duarte Jr., Aurora Trinidad Ramirez Pozo:
A comparison of evolutionary algorithms for system-level diagnosis. GECCO 2005: 2053-2060 - [c11]Leonardo R. Emmendorfer, Rodrigo Traleski, Aurora Trinidad Ramirez Pozo:
Using Prior Knowledge to Improve the Performance of an Estimation of Distribution Algorithm Applied to Feature Selection. HIS 2005: 393-398 - [c10]Eduardo Oliveira Costa, Silvia Regina Vergilio, Aurora Trinidad Ramirez Pozo, Gustavo A. de Souza:
Modeling Software Reliability Growth with Genetic Programming. ISSRE 2005: 171-180 - 2003
- [c9]Celso Y. Ishida, Aurora T. R. Pozo:
Grammatically Based Genetic Programming for Mining Relational Databases. SCCC 2003: 86- - [c8]Evandro Nunes Regolin, Gustavo A. de Souza, Aurora T. R. Pozo, Silvia Regina Vergilio:
Exploring Machine Learning Techniques for Software Size Estimation. SCCC 2003: 130-136 - 2002
- [c7]Celso Y. Ishida, Aurora T. R. Pozo:
GPSQL Miner: SQL-grammar genetic programming in data mining. IEEE Congress on Evolutionary Computation 2002: 1226-1231 - [c6]Ernesto Rodrigues, Aurora T. R. Pozo:
Grammar-Guided Genetic Programming and Automatically Defined Functions. SBIA 2002: 324-333 - [c5]Eduardo Jaques Spinosa, Aurora T. R. Pozo:
Controlling the Population Size in Genetic Programming. SBIA 2002: 345-354 - 2001
- [c4]F. M. Lopes, Aurora T. R. Pozo:
Genetic Algorithm Restricted by Tabu Lists in Data Mining. SCCC 2001: 178-185 - 2000
- [c3]Mozart Hasse, Aurora Trinidad Ramirez Pozo:
Using phenotypic sharing in a classifier tool. GECCO 2000: 392- - [c2]Aurora T. R. Pozo, Mozart Hasse:
A Genetic Classifier Tool. SCCC 2000: 14-23
1990 – 1999
- 1991
- [c1]Aurora Trinidad Ramirez Pozo, Walter Celso de Lima, Jorge Muniz Barreto:
"An AI - Based Training for Nosocomial Infections Control". MIE 1991: 965-969
Coauthor Index
Wesley K. G. Assunção
aka: Wesley Klewerton Guez Assunção
aka: Wesley Klewerton Guez Assunção
Elias P. Duarte Jr.
aka: Elias Procópio Duarte Jr.
aka: Elias Procópio Duarte Jr.
Richard A. Gonçalves
aka: Richard Aderbal Gonçalves
aka: Richard Aderbal Gonçalves
Olacir Rodrigues Castro Junior
aka: Olacir R. Castro Jr.
aka: Olacir R. Castro Jr.
Marcílio Carlos Pereira de Souto
aka: Marcilio C. P. de Souto
aka: Marcilio C. P. de Souto
Silvia Regina Vergilio
aka: Silvia R. Vergilio
aka: Silvia R. Vergilio
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