Journal Papers

  1. Hafemann, L.G., Sabourin, R., Oliveira, L. S., Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification, IEEE Trans. on Information Forensics and Security, accepted for publication. [pdf]
  2. P.J. Sudharshan, P. J,  Petitjean, C., Spanhol, F., Oliveira, L.S., Heutte, L., Honeine, P., Multiple instance learning for histopathological breast cancer image classification, Expert Systems With Applications, 117:103-111, 2019. [pdf]

  3. F. Ceschin, F. Pinagé, M. Castilho, D. Menotti, L. S. Oliveira, A. Grégio, The Need for Speed: An Analysis of Brazilian Malware Classifers, IEEE Security and Privacy, 16(6):31-41,2018. [pdf]

  4. Zottesso, R, Costa, Y., Bertolini, D.,  Oliveira, L. S.,Bird species identification using spectrogram and dissimilarity approach, Ecological Informatics, 48:187-197, 2018. [pdf]
  5. Viegas, E., Santin, A., Oliveira, L. S. França, A., Jasinski, R., Pedroni, V., A Reliable and Energy-Efficient Classifier Combination Scheme for Intrusion Detection in Embedded Systems, Computers & Security,78:16-32, 2018 [pdf]
  6. Hafemann, L.G., Sabourin, R., Oliveira, L. S., Fixed-sized representation learning from Offline Handwritten Signatures of different sizes, International Journal of Document Analysis and Recognition (IJDAR), 21:219-232, 2018 [pdf]
  7. Maruyama, T., Oliveira, L. S., Britto Jr, Nisgoski, S., Automatic Classification of Native Wood Charcoal, Ecological Informatics, 48:1-7, 2018. [pdf]
  8. Almeida, P., Oliveira, L. S., Britto Jr., A., Sabourin, R., Adapting Dynamic Classifier Selection for Concept Drift, Expert Systems with Applications, 104:67-85, 2018. [pdf]
  9. Hochuli, A., Oliveira, L. S., Britto Jr., A., Sabourin, R.,  Handwritten Digits Segmentation: Is it still necessary?, Pattern Recognition, 78:1-11, 2018. [pdf]
  10. Luz, E., Moreira, G., Oliveira, L. S., Schwartz, W., Menotti, D., Learning Deep Off-the-Person Heart Biometrics Representation, IEEE Trans. on Information Forensics and Security, 13(5):1258-1270, 2018. [pdf]
  11. Brun, A., Britto Jr, A. S., Oliveira, L. S., Enembreck, F., Sabourin, R. A Framework for Dynamic Classifier Selection oriented by the Classification Problem Difficulty, Pattern Recognition, 76:175-190, 2018 [pdf].
  12. Viegas E., Santin, A., Oliveira, L. S., Toward a Reliable Anomaly-Based Intrusion Detection in Real-World Environments, Computer Networks, 127:200-216, 2017 [pdf]
  13. Hafemann, L.G., Sabourin, R., Oliveira, L. S., Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks, Pattern Recognition, 70:163-176, 2017 [pdf]
  14. Furlaneto, D.,  Oliveira, L. S., Menotti, D., Cavalcanti, G., Bias effect on predicting market trends with EMD, Expert Systems with Applications, 82:91-26, 2017 [pdf]
  15. Costa, Y. M. G., Oliveira, L. S. Silla Jr., C. N., An Evaluation of Convolutional Neural Networks for Music Classification Using Spectrogram, Applied Soft Computing, 52(1):28-38, 2017. [pdf]
  16. Viegas, E., Santin, A., França, A., Jasinski, R., Pedroni, V., Oliveira, L. S., Towards an Energy-Efficient Anomaly-Based Intrusion Detection Engine for Embedded Systems, IEEE Transactions on Computers, (TOC), 66(1):163-177, 2017.  [pdf].
  17. Spanhol, F., Oliveira, L. S., Petitjean, C., Heutte, L., A Dataset for Breast Cancer Histopathological Image Classification, IEEE Transactions on Biomedical Engineering (TBME), 63(7):1455-1462, 2016 [pdf].
  18. Cavalcanti G., Oliveira, L. S, Moura T. M., Carvalho G., Combining Diversity Measures for Ensemble Pruning, Pattern Recognition Letters, 74:38-45, 2016 [pdf]
  19. Almeida, P., Oliveira, L. S., Britto Jr, A., S., Silva Jr, E., Koerich,A., PKLot – A Robust dataset for parking lot classification, Expert Systems with Applications, 42(11):4937-4949, 2015. [pdf]
  20. Martins, J., Oliveira, L. S., Britto Jr, A., S., Sabourin, R., Forest Species Recognition based on Dynamic Classifier Selection and Dissimilarity Feature Vector Representation, Machine Vision and Applications, 26(2):279-293, 2015. [pdf]
  21. Climent, J. and Oliveira L. S., A New Algorithm for Number of Holes Attribute Filtering of Grey-level Images, Pattern Recognition Letters, 53(1):24-30, 2015.[pdf]
  22. Britto Jr. A., Sabourin, R., Oliveira, L. S, Dynamic Selection of Classifiers – A Comprehensive Review, Pattern Recognition, 47(11):3665-3680, 2014. pdf
  23. Paula Filho, P. L., Oliveira, L. S., Nisgoski, S., Britto Jr. A. S., Forest Species Recognition using Macroscopic Images, Machine Vision and Applications, 25(4):1019-1031, 2014. pdf
  24. Olivo, C., Santin, A., Oliveira, L. S., Obtaining the Threat Model for Email Phishing, Applied Soft Computing, 13(12):4841-4848, 2013. pdf
  25. Ribas, F. C., Oliveira, L. S., Britto Jr., A. S., Sabourin, R., Handwritten Digit Segmentation: A Comparative Study, International Journal of Document Analysis and Recognition, 16(2):127-137, 2013 . pdf
  26. Martins, J., Oliveira, L. S., Nisgoski, S., Sabourin, R., A Database for Automatic Classification of Forest Species, Machine Vision and Applications, 24(3):567-578, 2013. pdf
  27. Oliveira Jr., W.,Oliveira, L. S., Justino, E., Comparing Compression Models for Authorship Attribution, Forensic Science International, 228(1-3):100-104, 2013. pdf.
  28. Silva, H.,Oliveira, L. S., Britto Jr, A. S., Koerich, A. L., Network Infrastructure Design with a Multilevel Algorithm, Expert Systems With Applications, 40(9):3471-3480, 2013. pdf
  29. Bertolini, D.,Oliveira, L. S., Justino, E., Sabourin, R., Texture-based Descriptors for Writer Identification and Verification, Expert Systems With Applications, 40(6):2069-2080, 2013. pdf
  30. Zavaschi, T., Britto, Jr. A.S., Oliveira, L. S., Koerich, A., Fusion of Feature Sets and Classifiers for Facial Expression Recognition, Expert Systems with Applications, 40(2), 646-655, 2013 pdf
  31. Vriesmann, L., Britto Jr., A., Oliveira, L. S., Sabourin, R., Ko, A., Improving a Dynamic Ensemble Selection Method based on Oracle Information, International Journal of Innovative Computing and Applications, 4(3-4):184-200, 2012. pdf
  32. Hanusiak, R. K., Justino, E., Oliviera, L. S., Sabourin, R. Writer Verification Using Texture-based Features, International Journal of Document Analysis and Recognition, 15(3):213-226, 2012. pdf
  33. Costa Y., Oliveira, L. S., Koerich, A. L., Gouyon, F., Martins, J. Music Genre Classification Using LBP Texture Features, Signal Processing, 92(11):2723-2737, 2012. pdf
  34. Oliveira, L. S., Mansano, M., Koerich, A., Britto A., Selecting 2DPCA Coefficients for Face and Facial Expression Recognition, IEEE Computing in Science and Engineering, 13(3):9-13, 2011. pdf
  35. Rios, I., Britto Jr., A. S., Koerich, A., Oliveira, L. S., An OCR Free Method for Word Spotting in Printed Documents: The Evaluation of Different Feature Sets, Journal of Universal Computer Science, 17(1):48-63, 2011.
  36. Hanusisak R. K., Justino, E., Oliviera, L. S., Sabourin, R. Identificação da Autoria de Manuscritos com Base em Atributos Genéticos e Genéricos da Escrita, Revista de Informática Teórica e Aplicada, 17(2):193-209, 2010 link (in Portuguese).
  37. Bertolini, D.,Oliveira, L. S., Justino, E., Sabourin, R., Reducing Forgeries in Writer-Independent Off-Line Signature Verification Through Ensemble of Classifiers, Pattern Recognition, 43(1):387-396, 2010. pdf
  38. Bergamini, C. M., Oliveira, L. S., Koerich, A. L., Sabourin, R., Combining different biometric traits with one-class classification, Signal Processing, 89(11):2117-2127, 2009. pdf
  39. Pavelec, D., Oliveira, L. S., Justino, E., Batista L. V., Using Conjunctions and Adverbs for Author Verification. Journal of Universal Computer Science (JUCS), 14(18):2967-2981, 2008. pdf
  40. Abu Hana, R., Freitas, C., Oliveira, L. S., Bortolozzi, F., Crime Scene Classification (2D, 3D, Stereoscopic Projection) and Classification, Journal of Universal Computer Science (JUCS), 14(18):2953-2966, 2008. pdf
  41. Oliveira, L. S., Cavalin, P., Britto Jr., A., Koerich, A., Inspeção Automárica de Defeitos em Madeira Pinus usando Visão Computacional. Revista de Informática Teórica e Aplicada, 15(2):204-217, 2008. (in Portuguese) pdf
  42. Vellasques, E., Oliveira, L. S., Britto Jr., A., Koerich, A., Sabourin, R., Filtering Segmentation Cuts for Digit String Recognition, Pattern Recognition, 41(10):3044-3053, 2008. pdf
  43. Freitras, C., Oliveira, L. S., Aires, S., Bortolozzi, F., Zoning and Metaclasses for Character Recognition, Journal of Universal Computer Science (JUCS), 14(2):211-223, 2008. pdf
  44. Oliveira, L. S., Justino, E., Sabourin, R., Bortolozzi, F., Combining Classifiers in the ROC Space for Off-line Signature Verification, Journal of Universal Computer Science (JUCS), 14(2):237-251, 2008. pdf
  45. Pavelec, D., Justino, E., Oliveira, L. S., Author Identification Using Stylometric Features, Ibero-American Journal of Artificial Intelligence, 11(36):59-65, 2007. pdf
  46. Granger, E., Henniges, P., Sabourin, R., Oliveira, L. S., Supervised Learning of Fuzzy ARTMAP Neural Networks Through Particle Swarm Optimisation, Journal of Pattern Recognition Research (JPRR), 2(1):27-60, 2007. pdf
  47. Ko A., Sabourin R., Britto Jr. A., Oliveira L. S., Pairwise Fusion Matrix for Combining Classifiers. Pattern Recognition, 40(8):2198-2210, 2007. pdf
  48. Freitas C., Oliveira L. S., Aires S., Bortolozzi F., Handwritten Character Recognition Using Non-Symmetrical Perceptual Zoning, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 21(1):135-155, 2007. pdf
  49. Justino E., Oliveira L. S., Protocolo para execução de mandato de busca e apreensão em cenários de crimes digitais, Revista Âmbito Jurídico, 35:1-7, 2007. (in Portuguese) online
  50. Oliveira L. S., Morita M., and Sabourin R., Feature Selection for Ensembles Applied to Handwriting Recognition,International Journal on Document Analysis and Recognition (IJDAR),18(4):262-279, 2006. pdf
  51. Justino E., Oliveira L. S., Freitas C., Reconstructing Shredded Documents Through Feature Matching, Forensic Science International, 160(2-3):140-147, 2006. pdf
  52. Justino E., Freitas C., Oliveira L. S., Técnicas forenses nos crimes de falsidade documental: perícias para determinação da contemporaneidade de tintas de caneta, Revista Brasileira de Ciências Criminais, 14(59):325-345, 2006. (in Portuguese)
  53. Morita M., Oliveira L. S., and Sabourin R., Geração Automática de Conjuntos de Classificadores Através da Seleção de Características não Supervisionada, IEEE Latin America Transactions, 3(5):50-56, 2005, (in Portuguese). pdf
  54. Justino E., Oliveira L. S., Freitas C., Documentoscopia em Documentos Questionados Degradados,Revista Âmbito Jurídico, 8(22):1-10, 2005, (in Portuguese). online
  55. Oliveira L. S., Sabourin R., Bortolozzi F., Suen C.Y. A Methodology for Feature Selection using Multi-Objective Genetic Algorithms for Handwritten Digit String Recognition, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 17(6):903-930, 2003. pdf
  56. Oliveira L. S., Sabourin R., Bortolozzi F., Suen C.Y. Impacts of Verification on a Numeral String Recognition System, Pattern Recognition Letters, 24(7):1023-1031, 2003. pdf
  57. Oliveira L. S., Sabourin R., Bortolozzi F., Suen C.Y. Automatic Recognition of Handwritten Numerical Strings: A Recognition and Verification Strategy, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 24(11):1438-1454, 2002. pdf