Journal Papers

  1. Hafemann, L.G., Sabourin, R., Oliveira, L. S.,Meta-learning for fast classifier adaptation to new users of Signature Verification systems, IEEE Trans. on Information Forensics and Security, accepted for publication.
  2. Silva, R., Britto Jr., A., Enembreck, F., Sabourin, R., Oliveira, L. S., CSBF: A Static Ensemble Fusion Method based on the CentralityScore of Complex Networks, Computational Intelligence, accepted for publication.
  3. Costa, Y., Bertolini, D.,  Britto Jr, A. S., Cavalcanti, G., Oliveira, L. S., The Dissimilarity Approach: a review, Artificial Intelligence Review, accepted for publication [pdf]
  4. Matsushita, G., Sugi, A. H, Costa, Y., Gomez, A., Cunha, C., Oliveira, L. S., Automatic dopamine release identification using convolutional neural network, Computers in Biology and Medicine, 114, 2019 [pdf]
  5. 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, 14(8):2153-2166, 2019 [pdf]
  6. 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]
  7. 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]
  8. Zottesso, R, Costa, Y., Bertolini, D.,  Oliveira, L. S.,Bird species identification using spectrogram and dissimilarity approach, Ecological Informatics, 48:187-197, 2018. [pdf]
  9. 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]
  10. 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]
  11. Maruyama, T., Oliveira, L. S., Britto Jr, Nisgoski, S., Automatic Classification of Native Wood Charcoal, Ecological Informatics, 48:1-7, 2018. [pdf]
  12. 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]
  13. Hochuli, A., Oliveira, L. S., Britto Jr., A., Sabourin, R.,  Handwritten Digits Segmentation: Is it still necessary?, Pattern Recognition, 78:1-11, 2018. [pdf]
  14. 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]
  15. 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].
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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].
  21. 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].
  22. Cavalcanti G., Oliveira, L. S, Moura T. M., Carvalho G., Combining Diversity Measures for Ensemble Pruning, Pattern Recognition Letters, 74:38-45, 2016 [pdf]
  23. 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]
  24. 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]
  25. 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]
  26. Britto Jr. A., Sabourin, R., Oliveira, L. S, Dynamic Selection of Classifiers – A Comprehensive Review, Pattern Recognition, 47(11):3665-3680, 2014. pdf
  27. 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
  28. Olivo, C., Santin, A., Oliveira, L. S., Obtaining the Threat Model for Email Phishing, Applied Soft Computing, 13(12):4841-4848, 2013. pdf
  29. 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
  30. 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
  31. Oliveira Jr., W.,Oliveira, L. S., Justino, E., Comparing Compression Models for Authorship Attribution, Forensic Science International, 228(1-3):100-104, 2013. pdf.
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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.
  40. 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).
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. Pavelec, D., Justino, E., Oliveira, L. S., Author Identification Using Stylometric Features, Ibero-American Journal of Artificial Intelligence, 11(36):59-65, 2007. pdf
  50. 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
  51. Ko A., Sabourin R., Britto Jr. A., Oliveira L. S., Pairwise Fusion Matrix for Combining Classifiers. Pattern Recognition, 40(8):2198-2210, 2007. pdf
  52. 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
  53. 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
  54. 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
  55. Justino E., Oliveira L. S., Freitas C., Reconstructing Shredded Documents Through Feature Matching, Forensic Science International, 160(2-3):140-147, 2006. pdf
  56. 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)
  57. 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
  58. Justino E., Oliveira L. S., Freitas C., Documentoscopia em Documentos Questionados Degradados,Revista Âmbito Jurídico, 8(22):1-10, 2005, (in Portuguese). online
  59. 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
  60. 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
  61. 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