Journal Papers

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.

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]

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):31-41,2019. [pdf]

Zottesso, R, Costa, Y., Bertolini, D.,  Oliveira, L. S.,Bird species identification using spectrogram and dissimilarity approach, Ecological Informatics, 48:187-197, 2018. [pdf]

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]

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]

Maruyama, T., Oliveira, L. S., Britto Jr, Nisgoski, S., Automatic Classification of Native Wood Charcoal, Ecological Informatics, 48:1-7, 2018. [pdf]

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]

Hochuli, A., Oliveira, L. S., Britto Jr., A., Sabourin, R.,  Handwritten Digits Segmentation: Is it still necessary?, Pattern Recognition, 78:1-11, 2018. [pdf]

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]

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].

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]

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]

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]

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]

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].

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].

Cavalcanti G., Oliveira, L. S, Moura T. M., Carvalho G., Combining Diversity Measures for Ensemble Pruning, Pattern Recognition Letters, 74:38-45, 2016 [pdf]

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]

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

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

Britto Jr. A., Sabourin, R., Oliveira, L. S, Dynamic Selection of Classifiers – A Comprehensive Review, Pattern Recognition, 47(11):3665-3680, 2014. pdf

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

Olivo, C., Santin, A., Oliveira, L. S., Obtaining the Threat Model for Email Phishing, Applied Soft Computing, 13(12):4841-4848, 2013. pdf

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

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

Oliveira Jr., W.,Oliveira, L. S., Justino, E., Comparing Compression Models for Authorship Attribution, Forensic Science International, 228(1-3):100-104, 2013. pdf.

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

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

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

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

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

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

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

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.

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).

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

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

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

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

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

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

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

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

Pavelec, D., Justino, E., Oliveira, L. S., Author Identification Using Stylometric Features, Ibero-American Journal of Artificial Intelligence, 11(36):59-65, 2007. pdf

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

Ko A., Sabourin R., Britto Jr. A., Oliveira L. S., Pairwise Fusion Matrix for Combining Classifiers. Pattern Recognition, 40(8):2198-2210, 2007. pdf

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

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

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

Justino E., Oliveira L. S., Freitas C., Reconstructing Shredded Documents Through Feature Matching, Forensic Science International, 160(2-3):140-147, 2006. pdf

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)

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

Justino E., Oliveira L. S., Freitas C., Documentoscopia em Documentos Questionados Degradados,Revista Âmbito Jurídico, 8(22):1-10, 2005, (in Portuguese). online

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

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

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