Gisele L. Pappa

Publications

Journal papers

  1. SALLES, T. ; ROCHA, L.C. ; MOURAO, F. ; PAPPA, G. L. ; Cunha, L. ; MEIRA JR, W. ; GONÇALVES, Marcos A. . Automatic Document Classification Temporally Robust. Journal of Information and Data Management, v. 1, p. 199-211, 2010.
  2. LANGBHN, H. R. ; Ricci, S. ; GONÇALVES, Marcos A. ; Almeida, J. M. ; PAPPA, G. L. ; Benevenuto, F. . A Multi-view Approach for Detecting Non-Cooperative Users in Online Video Sharing Systems. Journal of Information and Data Management, v. 1, p. 313-328, 2010.
  3. PALOTTI, J. ; SALLES, T. ; PAPPA, G. L. ; ARCANJO, F. L. ; GONÇALVES, Marcos A. ; MEIRA JR, W. . Estimating the Credibility of Examples in Automatic Document Classification. Journal of Information and Data Management, v. 1, p. 439-454, 2009.
  4. Pappa, G. L., Freitas, A. A. Evolving Rule Induction Algorithms with Multi-objective Grammar-based Genetic Programming . Knowledge and Information Systems, v. 19, p. 283-309, 2009.
  5. PAPPA, G. L. ; FREITAS, A. A. . Automatically Evolving Rule Induction Algorithms Tailored to the Prediction of Postsynaptic Activity in Proteins. Intelligent Data Analysis, v. 13, p. 243-259, 2009.
  6. Pappa, G. L., Freitas, A. A. Automatically Evolving Rule Induction Algorithms Tailored to the Prediction of Postsynaptic Activity in Proteins. Intelligent Data Analysis. In press, 2008.
  7. Pappa, G. L., Freitas, A. A., Baines, A. J. Predicting post-synaptic activity in proteins with data mining . Bioinformatics , v.21, p.ii19 - ii25, 2005.
  8. Pappa, G. L., Delamaro, M. E., Silva, F. A. B. Using the JPDA library to Build Java Debuggers. Revista Tecnológica (UEM). , v.9, p.87 - 99, 2000. (In Portuguese)
  9. Quadrado, A. B., Albuquerque, B. G., Shiba, E., Pappa, G. L., Silva, F. A. B. Genetic Algorithms to Load Balance in Distributed Systems. Revista Tecnológica (UEM). , v.8, p.23 - 31, 1999. (In Portuguese)

Book Chapters

  1. Pappa, G. L., Freitas, A. A. Creating Rule Ensembles From Automatically-Evolved Rule Induction Algorithms. In: J. Koronacki, S.T. Wierzchon, Z.W. Ras, J. Kacprzyk. (Org.). Studies in Computational Intelligence - Recent Advances in Machine Learning. : Springer, 2009.
  2. Freitas, A. A., Pappa, G. L. Genetic Programming for Creating Data Mining Algorithms In: Encyclopedia of Data warehousing and Mining .2 ed. : Idea Group Publishing, In press, 2008
  3. Pappa, G. L., Freitas, A. A. Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming In:Soft Computing for Knowledge Discovery and Data Mining .1 ed. Londres : Springer, 2007, p. 177-196.
  4. Pappa, G. L., Kaestner C., Freitas, A. A. Multi-objective algorithms for attribute selection in Data Mining In: Applications of Multi-Objective Evolutionary Algorithms.1 ed. : World Scientific, 2004, v.1, p. 603-624.

Conference Papers

  1. ARCANJO, F. L. ; PAPPA, G. L. ; BICALHO, P. ; MEIRA JR, W. ; SILVA, Altigran Soares da . Semi-supervised Genetic Programming for Classification. In: ACM GECCO - Genetic and Evolutionary Computation Conference, 2011, Dublin. Proc. of the Int. Genetic and Evolutionary Computation Conference, 2011.
  2. Cordeiro Junior, Z. ; Pappa, Gisele L. . A PSO Algorithm for Improving Multi-View Classification. In: IEEE Congress on Evolutionary Computation, 2011, New Orleans. Proc. of the IEEE Congress on Evolutionary Computation, 2011.
  3. VIEIRA, R. ; BRUNORO, G. ; PAPPA, G. L. . HCGA: A Genetic Algorithm for Hierarchical Classification. In: IEEE Congree on Evolutionary Computation, 2011, New Orleans. Proc. of the IEEE Congress on Evolutionary Computation, 2011.
  4. PALOTTI, J. ; SALLES, T. ; PAPPA, G. L. ; GONÇALVES, Marcos A. ; MEIRA JR, W. . Assessing Documents' Credibility with Genetic Programming. In: IEEE Congress on Evolutionary Computation, 2011, New Orleans. Proc. of the IEEE Congress on Evolutionary Computation, 2011.
  5. Faria, A. W. C. ; Menotti, D. ; LARA, D. S. D. ; PAPPA, G. L. ; Albuquerque . A New Methodology for Photometric Validation in Vehicles Visual Interactive Systems. In: ACM SAC - 25th Symposium On Applied Computing, 2010, Sierre. Proc. of the 25th ACM SAC, 2010.
  6. Freitas, J. ; PAPPA, G. L. ; Gonçalves, Marcos A. ; Veloso, A. ; Moura, Edleno Silva de ; Silva, Altigran Soares da . Active Learning Genetic Programming for Record Deduplication. In: IEEE Congress on Evolutionary Computation (CEC), 2010, Barcelona.
  7. Lima, E. B. ; PAPPA, G. L. ; Almeida, J. M. ; Gonçalves, Marcos A. ; Meira, W. . Tuning Genetic Programming Parameters with Factorial Designs. In: IEEE Congress on Evolutionary Computation (CEC), 2010, Barcelona.
  8. Salles, T. ; Rocha, L.C. ; Pappa, G. L. ; Mourão, F. ; Gonçalves, Marcos A. ; Meira JR, W. . Temporally-aware algorithms for document classification. In: Annual International ACM SIGIR Conference on Research & Development in Information Retrieval, 2010, Genebra.
  9. Menezes, G. ; Almeida, J. M. ; Belem, Fabiano ; GONÇALVES, Marcos A. ; Lacerda, A. ; MOURA, Edleno Silva de ; PAPPA, G. L. ; VELOSO, A. ; N. Ziviani . Demand-Driven Tag Recommendation. In: ECML-PKDD - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2010, Barcelona.
  10. Ogasawara, E. ; Conegundes, L. ; Oliveira, D. ; Zimbrao, G. ; PAPPA, G. L. ; Mattoso, M. . Adaptive Normalization: A Novel Data Normalization Approach for Non-Stationary Time Series. In: IEEE International Joint Conference on Neural Networks (IJCNN), 2010, Barcelona.
  11. Januario, T. ; Bueno, I. ; PAPPA, G. L. ; MATEUS, G. R. . An Evolutionary Algorithm to the Density Control, Coverage and Routing Multi-Period Problem. In: IEEE Congress on Evolutionary Computation (CEC), 2010, Barcelona. Proc. of the IEEE Congress on Evolutionary Computation (CEC), 2010.
  12. Salles, T. ; Rocha, L.C. ; Mourão, F. ; PAPPA, G. L. ; Cunha, L. ; Gonçalves, Marcos A. ; Meira JR, W. . Explorando Credibilidade Temporal para Melhorar a Classificação Automática de Documentos. In: Simpósio Brasileiro de Banco de Dados, 2009, Fortaleza.
  13. Martins, W., Laender, Alberto H. F., Gonçalves, Marcos A., Pappa, G. L. Learning to Assess the Quality of Scientific Conferences: A Case Study in Computer Science. In: ACM/IEEE Conference on Digital Libraries, 2009, Austin, TX.
  14. Conegundes, L. ; Hora, D. ; Palotti, J. ; Meira Jr, W. ; Pappa, Gisele L. From an Artificial Neural Network to a Stock Market Day-Trading System: A Case Study on the BMF BOVESPA. In: 2009 International Joint Conference on Neural Networks, 2009, Atlanta.
  15. Pappa, G. L., Talbot, H., Menotti, D., Meignan, M. Towards Automated Lymphoma Prognosis based on PET Images In: IEEE International Workshop on Machine Learning for Signal Processing, 2008, Cancun.
  16. Menotti, D. , Albuquerque, A., Najman, L., Pappa, G. L., Facon, J. Contrast Enhancement in Digital Imaging using Histogram Equalization. In: SIBGRAPI, 2008, Campo Grande. Workshop of Theses and Dissertations (SIBGRAPI 2008 - WTDCGPI), 2008.
  17. Pappa, G. L., Freitas, A. A. Automatically Evolving Rule Induction Algorithms In: 17th European Conference on Machine Learning, 2006, Berlim. Lecture Notes in Computer Science. Berlin / Heidelberg: Springer, 2006. v.4212. p.341 - 352
  18. Pappa, G. L., Freitas, A. A., Kaestner, C., C. Silla Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection In: IX IBERAMIA- Ibero-American Conference on Artificial Intelligence, 2004, Puebla, 2004.
  19. Pappa, G. L., FREITAS, A. A. Towards a genetic programming algorithm for automatically evolving rule induction algorithms In: ECML/PKDD 2004 - Workshop on Advances in Inductive Learning, 2004, Pisa. p.93 - 108
  20. Pappa, G. L., Freitas, A. A., Kaestner, C. A Multiobjective Genetic Algorithm for Attribute Selection In: 4th International Conference on Research Advances in Soft Computing, 2002, Nottingham. p.116 - 121
  21. Pappa, G. L., Kaestner, C., Freitas, A. A. Attribute Selection With a Multiobjective Genetic Algorithm In: XVI Simpósio Internacional de Inteligência Artificial, 2002, Porto de Galinhas.Lecture Notes in Artificial Intelligence 2507. Berlin: Springer-Verlag, 2002. p.280 - 290