default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAurora T. R. Pozo
Aurora Trinidad Ramirez Pozo
Person information
- affiliation: Federal University of Paraná (UFPR), Curitiba, Brazil
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
