Publications

Journal Papers

  1. Ceschin, F., Gomes, H., Botacin, M., Bifet, A., Pfahringer, B., Oliveira, L. S., Gregio, A., Machine Learning (In) Security: A Stream of Problems, ACM Digital Threats: Research and Practice, 5(1):1-32,2024 [link]

  2. Ensina, L., Oliveira, L.S., Cruz, R., Cavalcanti, G., Fault distance estimation for transmission lines with dynamic regressor selection, Neural Computing and Applications, 34:1741-1759, 2024 [pdf]

  3. Furtado D.P., Vieira E.A., Nascimento W.F., Inagaki K.Y., Bleuel J., Alves M., Longo G.O., Oliveira L.S. #DeOlhoNosCorais: a polygonal annotated dataset to optimize coral monitoring. PeerJ 11:e16219, 2023 [link].

  4. Matos J., Oliveira, L. S., Britto Jr., A, Koerich, A., Large-Margin Representation Learning for Texture Classification, Pattern Recognition Letters, 170:39-47, 2023 [pdf].

  5. Monteiro Jr, M., Britto Jr, A., Barddal, J., Oliveira, L. S., Sabourin, R., Exploring Diversity in Data Complexity and Classifier Decision Spaces for Pool Generation, Information Fusion, 89, 2023 [pdf]. 

  6. Ceschin, F., Botacin, M., Gomes, H., Pinage, F., Oliveira, L. S., Gregio, A., Fast & Furious: On the Modelling of Malware Detection as an Evolving Data Stream, Expert Systems with Applications, 212, 2023 [pdf]

  7. Costa, Y. M. G.; Teixeira, L. O.; Silva JR., S. A.; Bertolini, D.; Pereira, R. M.; Britto JR., A. S.; Oliveira, L. S.; Cavalcanti, G. D. C. COVID-19 detection on chest X-ray and CT scan:a review of the top-100 most cited papers. Sensors, 22(19), 7303, 2022. [pdf]

  8. V. M. Araújo, A. S. Britto Jr, L. S Oliveira, A. L. Koerich, Two-view fine-grained classification of plant species, Neurocomputing, 466:427-441, 2022 [pdf]

  9. L. Zanlorenzi, R. Laroca, E. Luz, A. S. Britto Jr, L. S. Oliveira, D. Menotti, Ocular Recognition Databases and Competitions: A Survey, Artificial Intelligence Review,55:129-180, 2022 [pdf].

  10. L. Teixeira, R. Pereira, D. Bertolini, L. S. Oliveira, L. Nanni, G. Cavalcanti, Y. Costa, Impact of lung segmentation on the Diagnosis and Explanation of covid-19 in chest x-ray images, Sensors 21(21), 7116, 2021. [pdf]

  11. R. Fragoso, G. Cavalcanti, R. Pinheiro, L. S Oliveira, Dynamic selection and combination of one-class classifiers for multi-class classification, Knowledge-Based Systems, 228, 2021 [pdf]

  12. M. M. Moura, L. S. Oliveira, C. Sanquetta,  A. Bastos, M. Mohan, A. P. Dalla Corte, Towards Amazon Forest Restoration: Automatic Detection of Species from UAV Imagery, Remote Sensing, 13(13):1-15, 2021 [pdf]

  13. G. Z. Felipe, J. N. Zanoni, C. Sierakowski, G. Bossolani, S. Souza, F. Flores, L. S. Oliveira, R. Pereira, Y. Costa, Automatic Chronic Degenerative Diseases Identification Using Enteric Nervous System Images, Neural Computing and Applications, 33, 2021. [pdf].

  14. Martins, J., Oliveira, L. S., Weingaertner, D., Barison, A., Oliveira, G., Lião, L., A Database for Automatic Classification of Gender in Araucaria Angustifolia plants, Soft Computing, 25(7), 5503-5517, 2021 [pdf].

  15. Matos, J., Ataky, S., Britto, Jr, A., Oliveira, L. S., Koerich, A., Machine Learning Methods for Histopathological Image Analysis: A Review, Electronics, 10(5):562-604, 2021 [pdf].

  16. Maruyama, T., Oliveira, L. S., Britto Jr, A., Sabourin, R., Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation, IEEE Transactions on Information Forensics and Security, 16:1335-1350, 2021 [pdf]

  17. Moura, T., Cavalcanti, G., Oliveira, L. S., MINE: A Framework for Dynamic Regressor Selection, Information Sciences, 543:157-179, 2021 [pdf]

  18. Hochuli, A., Britto Jr, A., Saji, D., Saavedra, J., Sabourin, R., Oliveira L. S., A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition, Expert Systems with Applications, 165, 2021 [pdf].

  19. Souza, D. V., Santos, J. X., Vieira, H. C., Niade, T. L, Nisgoski, S., Oliveira, L. S., An automatic recognition system of Brazilian flora species based on textural feature of macroscopic images of wood, Wood Science and Technology, 54:1065-1090, 2020 [pdf].

  20. Silva, R., Britto Jr., A., Enembreck, F., Sabourin, R., Oliveira, L. S. Selecting and combining classifiers based on Centrality Measures,International Journal on Artificial Intelligence Tools, 29(3-4):1-25. 2020 [pdf].

  21. Costa, Y., Bertolini, D.,  Britto Jr, A. S., Cavalcanti, G., Oliveira, L. S., The Dissimilarity Approach: a review, Artificial Intelligence Review, 53(4):2783-2808, 2020 [pdf]

  22. 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, 36(2):522-556, 2020. [pdf]

  23. 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, 15:1735-1745, 2020 [pdf]

  24. Ferreira, T. B., Buiar, J. A., Fernandes, M. A., Pimentel, A. R., Oliveira, L. S, Rules for forming collaborative groups using automatic detection of personality traits, Brazilian Journal of Computers in Education, 28:373-296, 2020.

  25. 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]

  26. 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]

  27. 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]

  28. 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]

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

  30. 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]

  31. 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]

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

  33. 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]

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

  35. 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]

  36. 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].

  37. 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]

  38. 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]

  39. 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]

  40. 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]

  41. 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].

  42. 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].

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

  44. 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]

  45. 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]

  46. 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]

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

  48. 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

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

  50. 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

  51. 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

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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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

  60. 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.

  61. 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).

  62. 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

  63. 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

  64. 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

  65. 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

  66. 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

  67. 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

  68. 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

  69. 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

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

  71. 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

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

  73. 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

  74. 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)

  75. 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

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

  77. 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)

  78. 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

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

  80. 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

  81. 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

  82. 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.

Conference Papers

  1. Inouye, R., Beneti, C., Calveti, L., Oliveira, L. S., Paz, S.,Improving the Accuracy of Wind Gust Forecasts for Power Distribution Systems, 104th Annual Meeting of the American Meteorological Society, Baltimore, USA, 2024.

  2. Beneti, C., Pavan, L., Oliveira L. S., Zanata, M., Calveti, L., Verdelho, F., Stream Machine Learning for Lightning Nowcasting - Harnessing the Power of Continuously Updated Data, EGU General Assembly, Vienna, Austria, 2024.

  3. Noguti, M., Vellasques, E., Oliveira, L. S., Small Claims Court for the NLP: Judging Legal Text Classification Strategies with Small Datasets, IEEE International Conference on System, Man, and Cybernetics (IEEE SMC), Maui, USA, 2023.

  4. Almeida, P., Alves, J., Oliveira, L.S., Hochuli, A., Vehicle Occurrence-based Parking Space Detection, IEEE International Conference on System, Man, and Cybernetics (IEEE SMC), Maui, USA, 2023.

  5. Pavan, L, Beneti, C., Oliveira, L. S., Zanata, M., Calveti, L. Lightning Nowcasting for Southern/Southeastern South America with Machine Learning, 103rd Annual Meeting of the American Meteorological Society, Denver, USA, 2023.

  6. Bravo, D., Alvez, M., Ensina, L., Oliveira, L. S., Evaluating Strategies to Predict Student Dropout of a Bachelor’s Degree in Computer Science, Symposium in Knowledge Discovery, Mining and Learning, 2023.

  7. Tamalu, N., Ensina, L., Almeida, E., Pena, E., Oliveira, L. S., Fault Detection in Transmission Lines: a Denial Constraint Approach, 38th Brazilian Symposium on Datasets, 2023.

  8. Ensina L., Oliveira L.S, Almeida E.,Santos S., Bernardino L., Fault Classification in Transmission Lines with Generalization Competence, 48th Anual Conference of the Industrial Electronics Society (IEEE IECON), Brussels, Belgium, 2022.

  9. Baro, E., Oliveira, L. S., Britto Jr., A., Predicting Hospitalization from Health Insurance Data, IEEE International Conference on System, Man, and Cybernetics (IEEE SMC), Prague, Czech Republic, 2022.

  10. Lima, A., Batista, M., Bardall, J., Sanches D., Oliveira, L. S., Assessing Batch and Online Learning for Delivery in Full and On Time Predictions, International Joint Conference on Neural Networks (IJCNN 2022), Padua, Italy, 2022.

  11. Ensina, L., Karvat, P., Almeida, E., Oliveira, L.S., Fault location in Transmission Lines based on LSTM model, Symposium in Knowledge Discovery, Mining and Learning, 2022.

  12. Moura, T., Cavalcanti, G., Oliveira, L. S., On the Evaluation of Competence Measures for Time Series Forecasting, IEEE International Conference on System, Man, and Cybernetics (IEEE SMC), Toronto, Canada, 2021.

  13. F. Pignelli, Y.  Costa, L. S. Oliveira and D. Bertolini, Data Augmentation for Writer Identification Using a Cognitive Inspired Model, International Conference on Document Analysis and Recognition (ICDAR 2021), Lausanne, Switzerland, 2021.

  14. F, Pignelli, L, S. Oliveira, A. S. Britto Jr., Y. Costa and D. Bertolini, Document Filter for Writer Identification, International Conference on Systems, Signals and Image Processing, Bratislava, Slovak, 2021.

  15. Ceschin, F., Botacin, M., Lüders, G., Gomes, H.,  Oliveira, L. S.,  Gregio, A., No Need to Teach New Tricks to Old Malware: Winning an Evasion Challenge with XOR-based Adversarial Samples, Reversing and Offensive-oriented Trends Symposium (ROOTS), Viena, Austria, 2020.

  16. Monteiro, M., Britto, Jr. A., Bardall, J. P., Oliveira, L. S., Sabourin, R., Classifier Pool Generation based on a Two-level Diversity Approach, International Conference on Pattern Recognition (ICPR 2020), Milan, Italy, 2020.

  17. Santore, Almeida, E., Bonat, W., Pena, E., Oliveira, L. S., A Framework for Analyzing the Impact of Missing Data in Predictive Models, 29th ACM International Conference on Information and Knowledge Management (ICKM 2020), 2020.

  18. Moura, T., Cavalcanti, G., Oliveira, L. S., On the Selection of the Competence Measure for Dynamic Regressor Selection, International Conference on Systems, Man, and Cybernetics (IEEE SMC 2020), Toronto, Canada, 2020.

  19. Almeida, P., Bardall, J., Britto Jr., A., Oliveira, L. S., Naïve Approaches to Deal With Concept Drifts, International Conference on Systems, Man, and Cybernetics (IEEE SMC 2020), Toronto, Canada, 2020.

  20. Noguti, M., Vellasques, E., Oliveira, L. S., Legal Document Classification: An Application to Law Area Prediction of Petitions to Public Prosecution Service, International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, Scotland, 2020.

  21. Hochuli, A., Britto Jr., A, Bardall, J. P., Oliveira, L. S., Sabourin, R., An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings, International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, Scotland, 2020. [pdf]

  22. Ataky, S., Matos, J., Britto Jr., A., Oliveira, L. S., Koerich, A., Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending, International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, Scotland, 2020. [pdf]

  23. Rony, J., Hafemann, L. G., Oliveira, L. S., Ayed, I. B., Sabourin, R., Granger, E. Decoupling direction and norm for efficient gradient-based l2 adversarial attacks and defenses, Conference on Computer Vision and Pattern Recognition (CVPR 2019), Laguna Beach, USA. [pdf]

  24. F. Ceschin, M. Botacin, H. Gomes, L. S. Oliveira and A. Grégio, Shallow Security: on the Creation of Adversarial Variants to Evade Machine Learning-Based Malware Detectors, Reversing and Offensive-oriented Trends Symposium (ROOTS), Viena, Austria, 2019. [pdf]

  25. Y. Akbari, A. S. Britto Jr., S.. Al-Maadeed and ‎L. S. Oliveira, Binarization of Degraded Document Images using Convolutional Neural Networks based on predicted Two-Channel Image, International Conference on Document Analysis and Recognition (ICDAR 2019), Sydney, Australia, 2019.

  26. T. Beppler, M. Botacin, F. Ceschin, L. S. Oliveira, A. Gregio, L(a)ying in (Test)Bed: How biased datasets produced impractical results for actual malware families’ classification, Information Security Conference (ISC 2019), New York, USA, 2019

  27. Ferreira, L. E. B, Gomes, H. M., Bifet, A. Oliveira, L. S., Cost-sensitive Adaptive Random Forests for Imbalanced data Streams, International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, 2019.

  28. Moura, T. J. M.,  Cavalcanti, G., Oliveira, L. S., Evaluating Competence Measures for Dynamic Regressor Selection, International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, 2019.

  29. Matos, J.,  Britto Jr, A. S., Oliveira, L. S., Koerich, A., Double Transfer Learning for Breast Cancer Histopathologic Image Classification, International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, 2019.

  30. Pereira, R., Costa, Y., Aguiar, R., Britto Jr., A. S.,  Oliveira, L. S., Silla Jr., C. Representation Learning vs. Handcrafted Features for Music Genre Classification, International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, 2019.

  31. Wiggers, K., Britto Jr., A.S.,  Heutte, L., Koerich, A., Oliveira, L. S., Image Retrieval and Pattern Spotting using Siamese Neural Network, International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, 2019.

  32. Matos, J.,  Britto Jr, A. S., Oliveira, L. S., Koerich, Texture CNN for Histopathological Image Classification,  32th IEEE Int. Symposium on Computer-based Medical Systems (CBMS 2019), Cordoba, Spain, 2019.

  33. Helal, L.., Bertolini, D., Costa, Y., Britto A. S., Oliveira, L. S., Representation Learning and Dissimilarity for Writer Identification, 26th Int. Conference on Systems, Signals and Image Processing (IWSSIP 2019), Osijek, Croatia.

  34. Menon, L.., Laurensi, I, Penna, M., Oliveira, L. S., Britto, A. S., Data Augmentation  and Transfer Learning Applied to Charcoal Image Classification, 26th Int. Conference on Systems, Signals and Image Processing (IWSSIP 2019), Osijek, Croatia.

  35. Roecker, M., Costa, Y., Britto, A. S., Oliveira, L. S., Bertolini, D., Vehicle Detection and Classification in Traffic Images using ConvNets with Constrained Resources, 26th Int. Conference on Systems, Signals and Image Processing (IWSSIP 2019), Osijek, Croatia.

  36. Beppler, T., Oliveira, L. S., Gregio, A., Uma Proposta para Classificação de Famílias de Programas Maliciosos baseada em Texturas, Computer on the Beach, 2019.

  37. Buiar, J. Pimentel, A., Oliveira, L. S,, Silva, Z., Modelo Computational para Identificação de personalidade baseado em textos educacionais, XXIV Congresso Internacional de Informática Educativa, Arequipa, Peru, 2019.

  38. Cavalin, P., Oliveira, L. S., Confusion matrix-based Building of Hierarchical Classification, 23rd Iberoamerican Congress on Pattern Recognition (CIARP 2018), Madrid, Spain, 2018

  39. Zanlorensi, L., Luz, E., Laroca, R., Britto, A., Oliveira, L. S., Menotti, D. The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments, 31st Conference on Graphics, Patterns, and Images (SIBGRAPI 2018), Foz do Iguaçu, Brazil, 2018.

  40. Buiar, J., Pimentel, A., Fernandes, M., Ferreira, T., Oliveira, L. S., Detecção automática de traços de personalidade e recomendação de agrupamento com o modelo Big Five, Simpósio Brasileiro de Informática na Educação, SBIE 2018, Fortaleza, 2018. (Best Paper Award)

  41. Pereira, M. T,, Britto Jr. A. S., Oliveira, L. S., Sabourin, R., Dynamic Ensemble Selection by K-Nearest Local Oracles with Discrimination Index, IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2018), Volos, Greece, 2018.

  42. Martins, J., Oliveira, L. S., Britto Jr. A. S., Sabourin, R., Forest species recognition based on ensemble of classifiers, IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2018), Volos, Greece, 2018.

  43. Paulino, M. A., Svaigen, A., Costa, Y., Aylon, L., Britto Jr. A. S., Oliveira, L. S., A Brazilian Speech Database, IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2018), Volos, Greece, 2018.

  44. Silva, R. A., Britto Jr, A. S.,  Enembreck, F., Sabourin, R., Oliveira, L. S., Fusion of Classifiers based on Centrality Measures, IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2018), Volos, Greece, 2018. (Best Student Paper Award)

  45. Araújo, V.,  Britto Jr, A. S., Brun, A. L., Koerich, A., Oliveira, L. S. Fine-grained Hierarchical Classification of Plant Leaf Images using Fusion of Deep Models,  IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2018), Volos, Greece, 2018.

  46. Matsushita, G., Oliveria, L.. S., Sugi, A. H., Cunha, C., Costa, Y. M. G. . Automatic Identification of Phasic Dopamine Release. 25th International Conference on Systems, Signals and Image Processing (IWSSIP), Maribor, Slovenia, 2018,

  47. Hochuli, A., Oliveira, L. S., Britto Jr, A. S., Sabourin, R., Segmentation-Free Approaches for Handwritten Numeral String Recognition, International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, 2018. [pdf]

  48. Viegas, E. Abreu, V., Santin, A., Oliveira, L. S, Enabling Anomaly-based Intrusion Detection Through Model Generalization, IEEE Symposium on Computers and Communications (IEEE ISCC 2018), 2018.

  49. Wiggers, K. L., Britto JR., A., S., Heutte, L., Koerich, A., Oliveira, L. S., Document Image Retrieval Using Deep Features, International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, 2018.

  50. Laroca, R., Severo, E., Zanlorensi, L., Oliveira, L. S.,  Goncalves, G.,  Schwartz, W., Menotti, D., A Robust Real-Time Automatic License Plate Recognition based on the DCNN YOLO Detector, International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, 2018.

  51. Trois, C., Bona, L. C. E., Oliveira, L. S., Exploring Textures in Traffic Matrices to Classify Data Center Communications.IEEE International Conference on Advanced Information Networking and Applications, Krakow, Poland,  2018.

  52. Hafemann, L., Sabourin, R., Oliveira, L., Offline Handwritten Signature Verification - Literature Review, International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017. [pdf]

  53. Cavalin, P., Oliveira, L. S., A Review of Texture Classification Methods and Databases, 30th Conference on Graphics, Patterns, and Images (SIBGRAPI 2017), Rio de Janeiro, 2017. [pdf]

  54. Buiar, J., Pimentel, A., Oliveira, L. S., Um modelo de inferência automatizado baseado no perfil de personalidade identificado nos textos produzidos pelo aluno, Simpósio Brasileiro de Informática na Educação (XXVIII SBIE), Recife, 2017 (in Portuguese).

  55. Olivo, C., Santin, A., Oliveira, L.S. Using Huffman Trees in Features Selection to Enhance Performance in Spam Detection,  Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg), Brasilia,  2017.

  56. Viegas, E., Santin, A., Abreu, V., Oliveira, L. S, Detecção de Intrusão Através de Aprendizagem de Fluxo no Ambiente do Adversário, Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg), Brasilia,  2017. (in Portuguese)

  57. Bertolini, D., Oliveira, L. S., Costa, Y.,  Helal, L., Knowledge Transfer for Writer Identification, 22nd Iberoamerican Congress on Pattern Recognition (CIARP 2017), Valparaiso, Chile, 2017. [pdf]

  58. Spanhol, F., Cavalin, P., Oliveira, L. S., Petitjean, C.,  Heutte, L. Deep Features for Breast Cancer Histopathological Image Classification, IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2017), Banff, Canada, 2017. [pdf]

  59. Cavalin, P., Oliveira, L. S.,  Kapp, M., Multi-scale Texture Recognition Systems with Reduced Cost: a Case Study on Forest Species, IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2017), Banff, Canada, 2017.

  60. Viegas, E., Santin, A., Abreu, V., Oliveira, L. S., Stream Learning and Anomaly-based Intrusion Detection in the Adversarial Settings, IEEE Symposium on Computers and Communications (ISCC), Crete, Greece, 2017.

  61. Silva, E.,  Britto Jr., A. S.,  Oliveira, L. S.,   Enembreck, F.,  Sabourin, R., Koerich, A., A Two-Step Method for Designing Efficient Multiple Classifier Systems, International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, USA, 2017.

  62. Almeida, P., Oliveira, L. S., Britto Jr, A., Sabourin, R., Handling Concept Drifts Using Dynamic Selection of Classifiers, IEEE International Conference on Tools with Artiticial Intelligence (ICTAI 2016), pages 989-995, San Jose, USA, 2016 [pdf]

  63. Hafemann, L.G., Sabourin, R., Oliveira, L. S., Analyzing Features Learned for Offline Signature Verification using Deep CNNs, International Conference on Pattern Recognition (ICPR 2016), pages 2984-2989, Cancun, Mexico, 2016 [pdf].

  64. Bertolini, D., Oliveira, L. S., Sabourin, R., Multi-script Writer Identification using Dissimilarity, International Conference on Pattern Recognition (ICPR 2016), pages 3020-3025, Cancun, Mexico, 2016 [pdf].

  65. Spanhol, F., Oliveira, L. S., Petitjean, C., and Heutte, L., Breast Cancer Histopathological Image Classification using Convolutional Neural Network, International Joint Conference on Neural Networks (IJCNN 2016), pages 2560-2567, Vancouver, Canada, 2016. [pdf]

  66. Hafemann, L. G.,  Sabourin, R.,  Oliveira, L. S., Writer-Independent Feature Learning for Off-line Signature Verification using Convolutional Neural Networks, International Joint Conference on Neural Networks (IJCNN 2016), pages 2576-2583, Vancouver, Canada, 2016. [pdf]

  67. Brun, A. L., Britto Jr. A. S., Oliveira, L. S.,  Enembreck, F.,  and Sabourin, R., Contribution of Data Complexity Features on Dynamic Classifier Selection, International Joint Conference on Neural Networks (IJCNN 2016), pages 4396-4403, Vancouver, Canada, 2016.

  68. Bertolini, D.  Oliveira, L. S.,  Sabourin, R., Improving Writer Identification Through Writer Selection,  20th Iberoamerican Congress on Pattern Recognition (CIARP 2015), Montevideo, Uruguay, 2015.

  69. Cavalin, P., Kapp, M., Oliveira, L. S., An Adaptive Multi-Level Framework for Forest Species Recognition, 2015 Brazilian Conference on Intelligent Systems (BRACIS 2015), Natal, 2015. [best paper award]

  70. Aires, S., Freitas, C., Oliveira, L. S., SIFT Applied to Perceptual Zoning for Trademark Retrieval, IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2015), Hong Kong, 2015.

  71. Stiehl, D., Oliveira, L. S.,  Guimarães, C., Britto Jr., A. S, Towards a SignWriting Recognition System, International Conference on Document Analysis and Recognition (ICDAR 2015), Mancy, France, 2015 [pdf].

  72. Hafemann, L. G. ; Cavalin, P. ; Oliveira, L.S, Sabourin, R., Transfer Learning between Texture Classification Tasks using Convolutional Neural Networks, International Joint Conference on Neural Networks (IJCNN 2015), pages 1939-1945, Killarney, Ireland, 2015. [pdf]

  73. Vriesmann, L.M,  Britto Jr, A. S.,  Oliveira, L. S.,  Koerich, A. L.,  Sabourin, R., Combining Overall and Local Class Accuracies in an Oracle-based Method for Dynamic Ensemble Selection, International Joint Conference on Neural Networks (IJCNN 2015), pages 323-329, Killarney, Ireland, 2015.

  74. Haffemann, L. G. ; Cavalin, P. ; Oliveira, L.S. . Forest Species Recognition using Deep Convolutional Neural Networks. International Conference on Pattern Recognition (ICPR2014), pages 1103-1107, Stockholm, Sweden, 2014.

  75. Bertolini, D., Oliveira, L. S., Justino, E., Sabourin, R., Assessing Textural Features For Writer Identification on Different Writing Styles and Forgeries. International Conference on Pattern Recognition (ICPR2014),  pages 268-272, Stockholm, Sweden, 2014.

  76. Diem, M., Saavedra, J., Barrios, J. M., Contreras, D., Oliveira, L. S., ICFHR 2014 Competition on Handwritten Digit String Recognition in Challenging Datasets (HDSRC 2014),  International Conference on Frontiers of Handwriting Recognition (ICFHR2014), pages 779-784, Crete Island, Greece 2014.

  77. Kapp, M.,  Blot, R., Cavalin, P., Oliveira, L.S.,  Automatic Forest Species Recognition based on Multiple Feature Sets. International Joint Conference on Neural Networks (IJCNN2014), pages 1296-1303,  Beijing, China,  2014

  78. Mendonça, V. G., Britto Jr, A., Facon, J., Koerich, A., Oliveira, L. S. , An HMM-based Gesture Recognition Method Trained on Few Samples.  IEEE International Conference on Tools with Artificial Intelligence (ICTAI2014), .640-646, Limassol, Cyprus, 2014.

  79. Aires, S., Freitas, C., Oliveira, L. S., Feature Analysis for Content-based Trademark Retrieval.  27th International Conference on Computer Applications in Industry and Engineering, New Orleans, USA, 2014.

  80. Varela, P. J., Justino, E., Oliveira, L.S., Uso de níveis estruturais e algoritmos genéticos na atribuição de autoria em língua Portuguesa. 9a. Conferencía Ibérica de Sistemas y Tecnologías da Informácion, pages p. 296-298, Barcelona, Spain,  2014.

  81. Guimarães, C., Guardezi, J. Oliveira L. S., Deaf Culture and Sign Language Writing System – a Database for a New Approach to Writing System Recognition Technology, Hawaian International Conference on System Sciences (HICSS 14), pages 3368-3375, Hawaii, USA, 2014.

  82. Farias, W.,  Justino, E., Facon, J., Oliveira, L. S., Sabourin, R., Off-line Signature Verification Using a Mixed Segmentation, X Workshop de Visão Computacional, 2014.

  83. Costa Y., Oliveira, L. S., Koerich, A., Gouyon, F., Music Genre Recognition using Gabor Filters and LPQ Texture Descriptors, 18th Iberoamerican Congress on Pattern Recognition (CIARP 2013), pages, 67-74, Havana, Cuba, 2013.

  84. Nassu, B. T., Minetto, R., Oliveira, L. S., Text Line Detection in Document Images: Towards a Support System for the Blind, International Conference on Document Analysis and Recognition (ICDAR 2013), pages 638-642, Washington, USA, 2013.

  85. Almeida, P., Oliveira, L. S., Silva Jr, E., Britto Jr, A., Koerich, A., Parking Space Detection using Textural Descriptors, 2013 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), pages 3603-3608, Manchester, UK, 2013.

  86. Porfirio, A., Weingaertner, D., Oliveira, L. S., LIBRAS Sign Language Hand Configuration Recognition Based on 3D Meshes, 2013 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), pages 1588-1593, Manchester, UK, 2013.

  87. Costa Y., Oliveira, L. S., Koerich, A., Gouyon, F.,  Music Genre Recognition Based on Visual Features with Dynamic Ensemble of Classifiers Selection. 20th International Conference on Systems, Signals and Image Processing (IWSSIP 2013), pages 55-58, Bucharest, 2013.

  88. Cavalin, P., Martins, J., Kapp, M., Oliveira, L. S., A Multiple Feature Vector Framework for Forest Species Recognition, 28th ACM Symposium on Applied Computing (ACM SAC 2013), pages 16-20, Coimbra, Portugal, 2013.

  89. Oliveira Jr, W., Justino, E., Oliveira, L. S., Authorship Attribution of Documents Using Data Compression as a Classifier, World Congress on Engineering and Computer Science, pages 1-4, San Francisco, USA, 2012

  90. Almeida, P., Celinski, T. Oliveira, L. S., Britto, A. S. Jr, Koerich, A., Music Genre Classification using Dynamic Selection of Ensemble of Classifiers, 2012 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), pages 2700-2705, Seoul, South Korea, 2012.

  91. Oliveira Jr, W., Justino, E., Oliveira, L. S., Identificação de Autoria de Documentos Eletrônicos, XII Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2012), pages 277-287, Curitiba, Brazil, 2012 (in Portuguese).

  92. Oliveira Jr, W., Justino, E., Oliveira, L. S., O uso de Algoritmos de Compressão de Dados na Verificação da Autoria de Textos, IX Encontro Nacional de Inteligência Artificial (ENIA 2012), pages 1-12, Curitiba, Brazil, 2012 (in Portuguese).

  93. Oliveira Jr, W., Justino, E., Oliveira, L. S., Authorship Attribution of Electronic Documents Comparing the Use of Normalized Compression Distance and Support Vector Machine in Authorship Attribution, 19th International Conference on Neural Information Processing (ICONIP 2012), pages 632-639, Doha, Qatar, 2012.

  94. Martins, J., Oliveira, L. S., Sabourin, R., Combining Textural Descriptors for Forest Species Recognition, 38th Annual Conference of the IEEE Industrial Electronics Society (IECON 2012), pages 1483-1488, Montreal, Canada, 2012.

  95. Costa Y., Oliveira, L. S., Koerich, A. L., Gouyon, F., Comparing Textural Features for Music Genre Recognition, IEEE International Joint Conference on Neural Networks (IJCNN 2012), pages 1867-1872, Brisbane, Australia, 2012.

  96. Dittrich, F., Koerich, A., Oliveira, L. S., People Counting In Crowded Scenes Using Multiple Cameras, 19th International Conference on Systems, Signals and Image Processing (IWSSIP 2012), pages 138-141, Viena, Austria, 2012.

  97. Ribas, F. C., Oliveira, L. S., Britto Jr., A. S., Sabourin, Assessing Handwitten Digit Segmentation Algorithms, 27th ACM Symposium on Applied Computing (ACM SAC 2012), pages 772-776, Riva del Garda, Italy, 2012.

  98. Silva, H., Oliveira, L. S., Britto Jr, A., Koerich, A., A Multilevel Algorithm for the Network Design Problem, 37th Annual Conference of the IEEE Industrial Electronics Society (IECON 2011), pages 2225-2229, Melbourne, Australia, 2011.

  99. Mansano, M., Pavesi, L., Oliveira, L. S., Britto Jr, A., Koerich, A., Inspection of Metallic Surfaces using Local Binary Patterns, 37th Annual Conference of the IEEE Industrial Electronics Society (IECON 2011), pages 2152-2156, Melbourne, Australia, 2011.

  100. Varela, P. J., E. Justino, E., Oliveira, L.S., Identificação de Autoria de Textos através do uso de Classes Linguísticas da Língua Portuguesa, 8th Brazilian Symposium in Information and Human Language Technology, pages 174-178, Cuiaba, Brazil, 2011.

  101. Veloso, L., Carvalho, J. M., Freitas, C., Oliveira, L. S., Lexicon-free Writer Dependent Approach for Off-line Handwritten Word Recognition, XXIX Brasileiro de Telecomunicações (SBrT), pages 1-5, Curitiba, Brazil, 2011.

  102. Martins J. G., Costa, Y. M. G., Bertolini, D. Oliveira L. S. Uso de descritores de textura extraídos de GLCM para o reconhecimento de padrões em diferentes domínios de aplicação. XXXVII Conferência Latinoamericana de Informática (CLEI 2011), pages 689-705, Quito, Equador, 2011.

  103. Varela, P. J., E. Justino, E., Oliveira, L. S., Selecting Syntactic Attributes for Authorship Attribution, IEEE International Joint Conference on Neural Networks (IJCNN 2011), pages 167-172, San Jose, USA, 2011.

  104. Costa Y., Oliveira, L. S., Koerich, A. L., Gouyon, F., Music Genre Recognition Using Spectrograms, 18th International Conference on Systems, Signals and Image Processing (IWSSIP 2011), pages 151-154, Sarajevo, Bosnia Herzegovina, 2011.

  105. Costa Y., Oliveira, L. S., Koerich, A. L., Gouyon, F., Classificação de Gêneros Musicais por Texturas no Espaço de Frequência, XXXVIII Seminário Integrado de Software e Hardware (SEMISH-CSBC), Natal, Brazil, 2011.

  106. Pimenta, A., Justino, E., Oliveira, L. S., Reconstrução Digital de Documentos Mutilados usando Programação Dinâmica e Algoritmo de Prim Modificado, VII Computer Vision Workshop (WVC), pages 243-248, Curitiba, Brazil, 2011.

  107. Martins, J., Paula Filho, P. L., Nisgoski, S., Oliveira, L. S., Classificação Automática de Grupos de Espécies Florestais, VII Computer Vision Workshop (WVC), pages 28-33, Curitiba, Brazil, 2011.

  108. Antunes, D. R., Guimarães, C., García, L. S., Oliveira, L. S., Fernandes, S., Framework to Support Development of Sign Language Human-Computer Interaction: Building Tools for Effective Information Access and Inclusion of the Deaf, IEEE Fifth International Conference on Research Challenges in Information Science (IEEE RCIS), pages 126-137, Guadeloupe, France, 2011.

  109. Zavaschi, T., Oliveira, L. S., Koerich., A. L., Facial Expression Recognition Using Ensemble of Classifiers, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), pages 1289-1492, Prague, Czech Republic, 2011.

  110. Silva, H. A., Oliveira, L. S., Britto Jr. A. S.,. Proposta de Planejamento em Etapas para Redes Secundárias de Telecomunicações. XI Simpósio Brasileiro de GeoInformática (GeoInfo), Campos do Jordão, Brazil, 2010.

  111. Koerich, A., Britto Jr., A., Oliveira, L. S., Verification of Unconstrained Handwritten Words at Character Level, 10th International Conference on Frontiers in Handwriting Recognition (ICFHR2010), pages 39-44, Kolkata, India, 2010.

  112. Paula Filho, P. L., Oliveira, L. S., Britto Jr, A., Sabourin, R., Forest Species Recognition using Color-based Features, 20th International Conference on Pattern Recognition (ICPR2010), pages 4178-4181, Istambul, Turkey, 2010.

  113. Lopes, M., Gouyon, F., Koerich, A., Oliveira, L. S., Selection of Training Instances for Music Genre Classification, 20th International Conference on Pattern Recognition (ICPR2010), pages 4569-4572, Istambul, Turkey, 2010.

  114. Varela, P., Justino, E., Oliveira, L. S., Verbs and Pronouns for Authorship Attribution, 17th International Conference on Systems, Signals and Image Processing (IWSSIP 2010), pages 89-92, Rio de Janeiro, Brazil, 2010.

  115. Vriesmann, L. M., Britto Jr., A., Oliveira, L. S., Sabourin, R., Ko, A., Using Additional Neighborhood Information in a Dynamic Ensemble Selection Method: Improving the KNORA approach, 17th International Conference on Systems, Signals and Image Processing (IWSSIP 2010), pages 420-423, Rio de Janeiro, Brazil, 2010.

  116. Britto Jr. A., Oliveira, L. S., Koerich, A., Face Recognition Using Selected 2DPCA Coefficients, 17th International Conference on Systems, Signals and Image Processing (IWSSIP 2010), pages 490-493, Rio de Janeiro, Brazil, 2010.

  117. Rios, I., Britto Jr., A., Koerich, A., Oliveira, L. S., Evaluation of Different Features Sets in an OCR Free Method for Word Spotting in Printed Documents, 25th ACM Symposium On Applied Computing (SAC2010), pages 52-56, Sierre, Switzerland, 2010.

  118. Paula Filho P. L., Oliveira, L.S., Britto Jr, A., A Database for Forest Species Recognition, XXII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2009), Rio de Janeiro, Brazil, 2009.

  119. Varela, P. J., E. Justino, E., Oliveira, L.S., O Uso de Dicionário de Atributos Estilométricos na Identificação de Autoria de Textos de Língua Portuguesa, 7th Brazilian Symposium in Information and Human Language Technology, São Carlos, Brazil, 2009.

  120. Santos, M., Britto Jr., A., Oliveira, L.S., Sabourin, R., Koerich., A., Evaluation of different strategies to optimize an HMM-based character recognition system, International Conference on Document Analysis and Recognition (ICDAR2009), pages 666-670, Barcelona, Spain, 2009,

  121. Pavelec, D., Oliveira, L.S., Justino, E., Batista, L. V., Author Identification Using Compression Models, International Conference on Document Analysis and Recognition (ICDAR2009), pages 936-940, Barcelona, Spain, 2009,

  122. Paula Filho, P. L., Roiek, D. R., Tusser, A. M., Oliveira, L.S., Análise de Cor para o Reconhecimento de Espécies Florestais. 8th Brazilian Conference on Dynamics, Control and Applications (DINCON 2009), Bauru, 2009.

  123. Pavelec, D., Oliveira, L.S., Justino, E., Batista, L. V., Compression and Stylometry for Author Identification, International Joint Conference on Neural Networks (IJCNN 2009), pages 2445-2450, Atlanta, USA, 2009.

  124. Pimenta, A., Justino, E., Oliveira, L. S., Sabourin, R., Document Reconstruction using Dynamic Programming, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pages 1393-1396, Taipei, Taiwan, April 16-24, 2009.

  125. Ko, A., Sabourin, R., Britto Jr, A., Oliveira, L. S., The Implication of Data Diversity for a Classifier-free Ensemble Selection in Random Subspaces, International Conference on Pattern Recognition (ICPR 2008), pages 1-5, Tampa, Florida, USA, December 8-11, 2008

  126. Dalla Valle Jr, J., Oliveira, L. S., Koerich, A., Britto Jr, A. S., Automatic People Counting in Video from Oblique Viewing Camera, IEEE 2008 Andescon, Cusco, Peru, October 15-17, 2008

  127. Santos, M., Britto Jr., A, Oliveira, L. S., Koerich, Sabourin, R., Combinando Características Complementares em Modelos Escondidos de Markov: Uma Otimização para o Reconhecimento de Caracteres Manuscritos, XXXIV Latin American Conference on Informatics (CLEI 2008), Santa Fe, Argentina, 2008.

  128. Bertolini, D., Oliveira, L. S., Justino, E., Sabourin, R., Ensemble of Classifiers for Off-line Signature Verification. IEEE International Conference on System, Man and Cybernetics (SMC 2008), pages 283-288, Singapore, 2008.

  129. Freitas, C., Oliveira, L. S., Sabourin, R., Bortolozzi, F., Brazilian Forensic Letter Database, 11th International Workshop on Frontiers on Handwriting Recognition (IWFHR-11), Montreal, QC, Canada, August 19-21 2008.

  130. Santos, E. M., Sabourin, R., Oliveira, L. S., Maupin, P., Overfitting in the Selection of Classifier Ensembles: a Comparative Study Between PSO and GA, 2008 Genetic and Evolutionary Computation Conference (GECCO 2008), pages 1423-1424, Atlanta, USA, July 12-16, 2008.

  131. Bergamini, C. M., Oliveira, L. S., Koerich, A. L., Sabourin, R., Fusion of Biometric Systems using One-Class Classification, International Joint Conference on Neural Networks (IJCNN 2008), pages 1308-1313, Hong Kong, IEEE Press, June 1-6, 2008.

  132. Pavelec, D., Justino, E., Batista, L., Oliveira, L. S., Author Identification using Writer-Dependent and Writer-Independent Strategies, 23th Annual ACM Symposium in Applied Computing (SAC2008), pages 414-418, Fortaleza, Brazil, ACM Press, March 16-20, 2008 **Winner of the best paper award, Engineering Theme**

  133. Abu Hana, R., Freitas, C., Oliveira, L. S., Bortolozzi, F., Crime Scene Classification, 23th Annual ACM Symposium in Applied Computing (SAC2008), pages 419-423, Fortaleza, Brazil, ACM Press, March 16-20, 2008.

  134. Hochuli, A., Oliveira, L. S., Britto Jr, A. S., Koerich, A., Detection and Classification of Human Movements in Video Scenes, 2007 Pacific-Rim Symposium on Image and Video Technology (PSIVT 2007), pages 678-691, Santiago, Chile, LNCS 4872 December 17-19, 2007.

  135. Dalla Valle Jr, J., Koerich, A., Oliveira, L. S., Britto Jr, A. S., People Counting in Video Scenes, 2007 Pacific-Rim Symposium on Image and Video Technology (PSIVT 2007), pages 737-748, Santiago, Chile, LNCS 4872, December 17-19, 2007.

  136. Baranoski, F., Oliveira, L. S., Justino, E., Writer Identification based on Forensic Science Approach, XXXIII Latin American Conference on Informatics, pages 25-32, San Jose, Costa Rica, October 9-12, 2007.

  137. Oliveira, L. S., Justino, E., Sabourin, R., Off-line Signature Verification Using Writer-Independent Approach, International Joint Conference on Neural Networks (IJCNN 2007), pages 2539-2544, Orlando, USA, IEEE Press, August 12-17, 2007.

  138. Santos C., Bortolozzi, F., Oliveira, L. S., Justino, E., Off-line Signature Verification Based on Forensic Questioned Document Examination Approach, 22th Annual ACM Symposium in Applied Computing (SAC2007), pages 637-638, Seoul, Korea, ACM Press, March 11-15, 2007.

  139. Freitas, C., Oliveira, L. S., Aires, S, Bortolozzi, F., Zoning and Metaclasses for Character Recognition, 22th Annual ACM Symposium in Applied Computing (SAC2007), pages 632-636. Seoul, Korea, ACM Press, March 11-15, 2007.

  140. Henniges, P., Granger, E., Sabourin, R., Oliveira, L. S., Impact of Fuzzy ARTMAP Match Tracking Strategies on the Recognition of Handwritten Digits, 2006 Artificial Neural Networks in Engineering (ANNIE 2006), St-Louis, USA, November 3-5, 2006.

  141. Cavalin, P., Oliveira, L. S., Koerich A. L., Britto Jr., A. S., Wood Defect Detection using Grayscale Images and an Optimized Feature Set. 32nd Annual Conf. of the IEEE Industrial Electronics Society (IECON 2006) , pages 3408-3412, Paris, France, IEEE Press, November 7-10, 2006.

  142. Vellasques, E., Oliveira, L. S., Britto Jr., A. S., Koerich, A. L., Sabouri, R. Modeling Segmentation Cuts Using Support Vector Machines. 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR 2006), pages 41-46, La Baule, France, October 23-26, 2006.

  143. Koerich, A. L., Britto Jr. A. S., Oliveira, L. S., Sabourin, R., Fusing High- and Low-Level Features for Handwritten Word Recognition, 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR 2006), pages 151-156, La Baule, France, October 23-26, 2006.

  144. Freitas, C., Oliveira, L. S., Justino E., Aires, S., Zoning and Metaclasses Improving the Character Recognition, 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR 2006), pages 67-72, La Baule, France, October 23-26, 2006.

  145. Granger, E., Henniges, P., Oliveira, L. S., Sabourin, R. Particle Swarm Optimization of Fuzzy ARTMAP Parameters, International Joint Conference on Neural Networks (IJCNN 2006), pages 2060-2067 Wancouver, Canada, IEEE Press, July 16-21, 2006.

  146. Cavalin, P., Britto Jr., A., Oliveira, L. S.,An Implicit Segmentation based Method for Recognition of Handwritten String of Characters, 21th Annual ACM Symposium in Applied Computing (SAC2006), pages 836-840, Dijon, France, ACM Press, April 23-27, 2006.

  147. Solana, C., Justino, E., Oliveira, L. S., Bortolozzi, F., Document Reconstruction based on Feature Matching, 18th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2005), pages 163-170, Natal, Brazil, IEEE CS Press, October 9-12, 2005.

  148. Oliveira, L. S., Britto Jr., A., Sabourin, R. A Synthetic Database to Assess Segmentation Algorithms, 8th International Conference on Document Analysis and Recognition (ICDAR 2005), pages 207-211, Seoul, South Korea, IEEE CS Press, August 29-September 1st, 2005.

  149. Oliveira, L. S., Britto Jr., A., Sabourin, R. Improving Cascading Classifiers with Particle Swarm Optimization, 8th International Conference on Document Analysis and Recognition (ICDAR 2005), pages 570-574, Seoul, South Korea, IEEE CS Press, August 29-September 1st, 2005.

  150. Oliveira, L S., Britto Jr. A., Sabourin, R. Optimizing Class-Related Thresholds with Particle Swarm Optimization, International Joint Conference on Neural Networks (IJCNN 2005), pages 1511-1516, Montreal, Canada, IEEE Press, July 31-August 4, 2005.

  151. Oliveira, L S., Justino, E., Freitas, C., and Sabourin, R. The Graphology Applied to Signature Verification, 12th Conference of the International Graphonomics Society (IGS 2005), pages 286-290, Salermo, Italy, June 26-29, 2005. pdf(external link){alt=” (external link)“}

  152. Oliveira, L S., Morita, M, Sabourin, R, Multi-Objective Genetic Algorithms to Create Ensemble of Classifiers, 3th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2005), pages 592-606, Guanajuato, Mexico, LNCS 3410, March 9-11, 2005.

  153. Oliveira L. S. and Sabourin R., Support Vector Machine for Handwritten Numerical String Recognition. 9th International Workshop on Frontiers in Handwriting Recognition (IWFHR-9), pages 39-44, Tokyo, Japan, IEEE CS Press, October 26-29, 2004.

  154. Morita M., Oliveira L. S., and Sabourin R., Unsupervised Feature Selection for Ensemble of Classifiers. 9th International Workshop on Frontiers in Handwriting Recognition (IWFHR-9), pages 81-86, Tokyo, Japan, IEEE CS Press, October 26-29, 2004.

  155. Oliveira, L.S., Sabourin, R., Bortolozzi, F. and Suen, C.Y., Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach, 7th International Conference on Document Analysis and Recognition (ICDAR2003), pages 676-680, Vol 2, Edinburgh, Scotland, IEEE CS Press, August 3-6, 2003.

  156. Radtke, P.V.W, Oliveira, L.S., Sabourin, R., and Wong, T. Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms. 7th International Conference on Document Analysis and Recognition (ICDAR2003), pages 824-828, Vol 2 , Edinburgh, Scotland, IEEE CS Press, August 3-6, 2003,

  157. Oliveira L.S., Sabourin R., Bortolozzi F., and Suen C.Y. Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition. 16th International Conference on Pattern Recognition (ICPR 2002), pages 568-571, Vol. 1, Quebec City, Canada, IEEE CS Press, August 11-15, 2002.

  158. Morita M., Oliveira L.S., Sabourin R., Bortolozzi F., and Suen C.Y. An HMM-MLP Hybrid System to Recognize Handwritten Dates. International Joint Conference on Neural Networks (IJCNN 2002), pages 867-872, Honolulu, USA, IEEE Press, May 12-17, 2002.

  159. Oliveira L.S., Sabourin R., Bortolozzi F. and Suen C.Y. High-level Verification of Handwritten Numeral Strings. 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), pages 36-43, Florianópolis, Brazil, IEEE CS Press, October 15-18, 2001.

  160. Oliveira L.S., Benahmed N., Sabourin R., Bortolozzi F. and Suen C.Y. Feature Subset Selection Using Genetic Algorithms for Handwritten Digit Recognition, 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), pages 362-369, Florianópolis, Brazil, IEEE CS Press, October 15-18, 2001.

  161. Oliveira L.S., Sabourin R., Bortolozzi F. and Suen C.Y. A Modular System to Recognize Numerical Amounts on Brazilian Bank Cheques. 6th International Conference on Document Analysis and Recognition (ICDAR 2001) , pages 389-394, Seattle, USA, IEEE CS Press, September 10-13, 2001.

  162. Oliveira L.S., Lethelier E., Bortolozzi F. and Sabourin R. Handwritten Digits Segmentation based on Structural Approach. 13th Brazilian Symposium on Computer Graphics and Imaging Processing (SIBGRAPI 2000), pages 67-73, Gramado, Brazil, IEEE CS Press, October 17-20, 2000.

  163. Freitas C., Morita M., Oliveira L.S., Justino E., Yacoubi A., Lethelier E., Bortolozzi F. and Sabourin R. Base de Dados de Cheques Bancários Brasileiros. XXVI Conferencia Latinoamerica de Informática , Atizapan de Zaragosa, Mexico, September 18-22, 2000.(in portuguese)

  164. Oliveira L.S., Lethelier E., Bortolozzi F. and Sabourin R. A New Approach to Segment Handwritten Digits. 7th International Workshop on Frontiers in Handwriting Recognition (IWFHR-7), Amsterdam, The Netherlands, pages 577-582, International Unipen Foundation, September 11-13, 2000.

  165. Oliveira L.S., Lethelier E., Bortolozzi F. and Sabourin R. A New Segmentation Approach for Handwritten Digits. 15th International Conference on Pattern Recognition (ICPR 2000), Vol. 2, pages 323-326, Barcelona, Spain, IEEE CS Press, September 3-7, 2000.

  166. Oliveira L.S., Lethelier E., Bortolozzi F. and Sabourin R. Segmentation de Caracteres Manuscrits Basee sur une Approche Structurelle, II Colloque International Francophone sur l’Ecrit et le Document (CIFED 2000), Pages 231-241, Lyon, France, July 2000. (in French)

  167. Oliveira L.S. and Bortolozzi F. Morphological Approach for the Pre-Printed Information Extraction of Brazilian Bank Checks. International Conference on Imaging Science, Systems, and Technology (CISST 2000), Vol. 1, pages 277-282, Las Vegas, USA, CSREA Press, June 26-29, 2000.

  168. Oliveira L. S., Bortolozzi F. and Sabourin R. Extração e Codificação das Estruturas Lógica e Física a partir de Imagens de Cheques Bancários Brasileiros, International Seminar on Knowledge Management/Document Management (ISKM/DM’99), Curitiba-Pr, Brazil, December 1999. (in Portuguese)

  169. Oliveira L. S., Bortolozzi F. and Sabourin R. Extração e Codificação da Estrutura Lógica a partir de Imagens de Cheques Bancários Brasileiros, International Seminar on Knowledge Management (ISKM’98), pages 196-208, Curitiba-Pr, Brazil, December 1998. (in Portuguese)

Doctoral Theses

  1. Ensina, L. A., Framework para Análise de Faltas em Linhas de Transmissão: Um método baseado em modelos múltiplos predicativos, PPGInf, UFPR, 2024 pdf

  2. Fragoso, R., Clustering based dynamic ensemble selection for one-class decomposition, CIn, UFPE, 2022 link

  3. Maruyama, T., Automatic Intrapersonal Variability Modeling for Offline Signature Verification, PPGInf, UFPR, 2021 pdf

  4. Moura, T., MINE: a framework for dynamic regressor selection, Centro de Informática, UFPE, 2019. link

  5. Hafemann, L. Learning features for offline handwritten signature verification, Systems Engineering Department, École de technologie supérieure, 2019. link, pdf

  6. Hochuli, A., Abordagens Livres de Segmentação para Reconhecimento Automática de Cadeias Numéricas Manuscritas Utilizando Aprendizado Profundo, PPGInf, UFPR, 2019 pdf

  7. Spanhol, F. A.,Automatic Breast Cancer Classification From Histopathological Images: A Hybrid Approach, PPGInf, UFPR, 2018, pdf

  8. Almeida, P. R L, Adapting the Dynamic Selection of Classifiers Approach for Concept Drift Scenarios, PPGInf, UFPR, 2017. pdf

  9. Aires, S. B. K., Modelo Hierárquico Perceptivo para Recuperação de Marcas Registradas Visuais, PPGIA, PUCPR, 2015. pdf

  10. Bertolini, D., Verificação e Identificação de Escritores usando Características Texturais e Dissimilaridade, PPGInf, UFPR, 2014. pdf

  11. Martins, J. G., Identificação de Espécies Florestais Utilizando Seleção Dinâmica de Classificadores no Espaço de Dissimilaridade, PPGInf, UFPR, 2014. pdf

  12. Gomes, Y. M. C., Reconhecimento de Gêneros Musicais utilizando Espectrogramas e Combinação de Classificadores, PPGInf, UFPR, 2013. pdf

  13. Paula Filho, P. L., Reconhecimento de Espécies Florestais através de Imagens Macroscópicas, PPGInf, UFPR, 2012. pdf

  14. Silva H. A., Algoritmo de Otimização Multinível Aplicado a Problemas de Planejamento de Redes, PPGIA, PUCPR, 2012. pdf.

  15. Vriesmann L. M., Seleção Dinâmica de Subconjunto de Classificadores: Abordagem Baseada em Acurácia Local, PPGIA,  PUCPR, 2012. pdf

  16. Oliveira L.S., Automatic Recognition of Handwritten Numerical Strings. PhD Thesis, University of Quebec, ETS, Montreal, QC, Canada, July 2003. pdf

MSc Dissertations

  1. Daniel Pimenta, Coral Classification using Deep Learning, UFPR, PPGInf, 2022, pdf

  2. Mariana Noguti, Comparison of NLP Algorithms applied to Small Supervised Datasets in the Legal Domain, UFPR, PPGInf, 2022. pdf

  3. Cabane Oliveira, Meta-Regressão para a Previsão de Erros em Séries Temporais, UFPR, PPGInf, 2021, pdf

  4. Matsushita, G., Automatic Identification of Phasic Dopamine Release, UFPR, PPGInf, 2018. pdf

  5. Herweg Filho, G. H., Diagnóstico de Imunoensaios de fluxo lateral por meio de reconhecimento de padrões, UFPR, PPGInf, 2018.

  6. Sato, F., Análise Comparativa de Algoritmos de Estimativa de Radiação Solar Horária, UFPR, PPGInf, 2018.

  7. Furlaneto, D. C., An analysis of Ensemble Empirical Mode Decomposition applied to Trend Prediction on Financial Time Series, UFPR, PPGInf, 2017. pdf

  8. Silva Jr., E. J. Método de Classificação em Cascata de Dois Níveis: Uma alternativa para a redução do custo de sistemas baseados em múltiplos classificadores, PUCPR, PPGIa, October 2015. pdf

  9. Stiehl D., Reconhecimento de Símbolos de Mão de SignWriting, UFPR, PPGInf, June, 2015. pdf

  10. Hafemann, L. G., An Analysis of Deep Neural Networks for Texture Classification, UFPR, PPGInf, November, 2014. pdf

  11. Almeira, P. R. L, Combinação de Características Texturais para a Classificação Automática de Vagas de Estacionamento, UFPR, PPGInf, December, 2013. pdf

  12. Lucas Filho. E. R, HiveQL Self Tuning, UFPR, PPGInf, August 2013. pdf

  13. Bazzo, G., Classificação Automática de Erros de Aprendizes Humanos do Processo de Indução Analítica, UFPR, PPGInf, August 2011. pdf

  14. Oliveira Jr, W. R., Estudo Comparativo dos Métodos de Compressão de Dados na Atribuição de Autoria de Texto, PUCPR, PPGIa, August 2011.

  15. Zavaschi, T., Classificação de expressões faciais com Combinação de Classificadores, PUCPR, PPGIa, March 2011.

  16. Varela, P., O Uso de Atributos Estilométricos na Identificação da Autoria de Textos, PUCPR, PPGIa, Brazil, March 2010. pdf

  17. Olivo, C., Avaliação de Características para Detecção de Phishing de email, PUCPR, PPGIa, Brazil, March 2010. pdf

  18. Hanusiak, R., Verificação da Autoria de Manuscritos com Base em Atributos Genéticos e Genéricos da Escrita, PUCPR, PPGIa, Brazil, March 2010. pdf

  19. Ribas, F. C., Caracterização de Algoritmos de Segmentação de Dígitos Manuscritos, PUCPR, PPGIa, Brazil, March 2010. pdf

  20. Bergamini C. M., Estudo Comparativo de Métodos de Fusão Aplicado a Biometria, PUCPR, PPGIa, Brazil, March 2009

  21. Santos M., Combinando Características Complementares em HMM: Uma Otimização para o Reconhecimento de Caracteres Manuscritos, PUCPR, PPGIa, Brazil, February 2009 pdf

  22. Pimenta A., Reconstrução Digita de Documentos Mutilados usando Programação Dinâmica, PUCPR, PPGIa, Brazil, February 2009 pdf

  23. Bertolini D., Agrupamento de Classificadores na Verificação de Assinaturas Off-line, PUCPR, PPGIa, Brazil, October 2008 pdf

  24. Vellasques E., Classificação de Pontos de Dígitos Manuscritos, PUCPR, PPGIa, Curitiba, PR, Brazil, September 2006 pdf

  25. Oliveira L.S., Estudo sobre a extração das estruturas lógica e física a partir imagens de cheques bancários Brasileiros. CEFET-PR. Curitiba-Pr, Brazil, February 1998. pdf