Journal papers

  1. A. A. Esmael, J.A. dos Santos, R. da S. Torres. On the ensemble of multiscale object-based classifiers for aerial images: a comparative study. Multimedia Tools and Applications, p. 1-28, 2018. [PDF]

  2. K. Nogueira, S. G. Fadel, Í. C. Dourado, R. O. Werneck, J. A. V. Muñoz, O. A. B. Penatti, R. T. Calumby, L. T. Li, J. A. dos Santos and R. S. Torres. Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 9, pp. 1446-1450, 2018. [PDF]

  3. K. Nogueira, O. A. B. Penatti and J. A. dos Santos. Towards better exploiting convolutional neural networks for remote sensing scene classification. Pattern Recognition, 61, 539-556, 2017. [PDF]

  4. B. Alberton, R. da S. Torres, Leonardo F. Cancian, B. D. Borges, J. Almeida, G. C. Mariano, J. A. dos Santos, L. P. C. Morellato. Introducing digital cameras to monitor plant phenology in the tropics: applications for conservation. Perspectives in Ecology and Conservation, v. 15, p. 82-90, 2017. [DOI]

  5. A. Ferreira, L. Bondi, L. Baroffio, P. Bestagni, J. Huang, J. A. dos Santos, S. Tubaro and A. Rocha . Data-Driven Feature Characterization Techniques for Laser Printer Attribution. IEEE Transactions on Information Forensics and Security (TIFS). Volume 12, number 8. Pages 1860-1873, 2017. [PDF][Source Code]

  6. J. Almeida, J. A. dos Santos, W. O. Miranda, B. Alberton, L. P. C. Morellato, and R. da S. Torres. Phenological Visual Rhythms: Compact Representations for Fine-Grained Plant Species Identification. Pattern Recognition Letters, 2016 (accepted).
    [DOI]

  7. K. Nogueira, A. Veloso, and J. A. dos Santos. Pointwise and Pairwise Clothing Annotation: Combining Features from Social Media. Multimedia Tools and Applications, 2016 (accepted).
    [PDF][DOI]

  8. A. Ferreira, S. Felipussi, C. Alfaro, P. Fonseca, J. E. Vargas-Munos, J. A. dos Santos and A. Rocha. Behavior Knowledge Space-Based Fusion for Copy-Move Forgery Detection. IEEE Transactions on Image Processing (TIP). Volume 25, number 10. Pages 4729-4742. 2016. [PDF][Source Code]

  9. A. Ferreira, J. A. dos Santos and A. Rocha. Multidirectional and Multiscale Multi-Perturbation Approaches for Blind Forensic Median Filtering Detection. IOS Journal of Intelligent Data Analysis (JIDA). Volume 20. Pages S17-S36. 2016. [PDF][Source Code]

  10. L. C. B. dos Santos, S. J. F. Guimarães, J. A. dos Santos. Efficient Unsupervised Band Selection Through Spectral Rhythms. IEEE Journal of Selected Topics in Signal Processing, vol.9, no.6, p.1016-1025, 2015.
    [PDF][DOI]

  11. J. Almeida, J. A. dos Santos, W. O. Miranda, B. Alberton, L. P. C. Morellato, and R. da S. Torres. Deriving Vegetation Indices for Phenology Analysis using Genetic Programming. Ecological Informatics, vol.23, no.3, p. 61–69, 2015.
    [PDF][DOI]

  12. A. C. B. Ferreira, L. C. Navarro, G. Pinheiro, J. A. dos Santos, and A. R. Rocha. Laser Printer Attribution: exploring new features and beyond. Forensic Science International, v. 247, p. 105-125, 2015.
    [DOI][DATASET]

  13. J. A. dos Santos, O. A. B. Penatti, P.H. Gosselin, A. X. Falcão, S. Philipp-Foliguet, and R. da S. Torres. Efficient and Effective Hierarchical Feature Propagation. IEEE Journal of Selected Topics on Earth Observations and Remote Sensing, v. 7, p. 4632-4643, 2014.
    [PDF]

  14. F. A. Faria, D. C. G. Pedronette, J. A. dos Santos, A. R. Rocha, and R. da S. Torres. Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images. IEEE Journal of Selected Topics on Earth Observations and Remote Sensing, v. 7, p. 1103-1115, 2014.
    [PDF]

  15. F. A. Faria, J. A. dos Santos, A. R. Rocha, R. da S. Torres. A Framework for Selection and Fusion of Pattern Classifiers in Multimedia Recognition. Pattern Recognition Letters, v. 39, p. 52-64, 2014.
    [PDF]

  16. J. Almeida, J. A. dos Santos, B. Alberton, R. da S. Torres, and L. P. C. Morellato. Applying Machine Learning based on Multiscale Classifiers to Detect Remote Phenology Patterns in Cerrado Savanna Trees. Ecological Informatics, 2014.
    [PDF][DOI]

  17. R. Y. M. Nakamura, L. M. G. Fonseca, J. A. dos Santos, R. da S. Torres, X.-S. Yang, J. P. Papa. Nature-inspired Framework for Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing, v. 52, p. 2126-2137, 2014.
    [PDF]

  18. J. A. dos Santos, P-H. Gosselin, S. Phillip-Foliguet, R. da S. Torres, and A. X. Falcão. Interactive Multiscale Classification of High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics on Earth Observations and Remote Sensing, v. 6, p. 2020-2034, 2013.
    [PDF]

  19. J. A. dos Santos, P-H. Gosselin, S. Phillip-Foliguet, R. da S. Torres, A. X. Falcão. Multiscale Classification of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, v. 50, p. 3764-3775, 2012.
    [PDF] [BibTex] [Abstract]

  20. A. T. da Silva, J. A. dos Santos, A. X. Falcão, R. da S. Torres, L. P. Magalhães. Incorporating multiple distance spaces in optimum-path forest classification to improve feedback-based learning. Computer Vision and Image Understanding (Print), v. 116, p. 510-523, 2012. [PDF] [BibTex] [Abstract]

  21. J. A. dos Santos, C. D. Ferreira, R. da S. Torres, M. A. Gonçalvez, R. A. C. Lamparelli. A Relevance Feedback Method based on Genetic Programming for Classification of Remote Sensing Images. Information Sciences, v. 181, p. 2671-2684, 2011. [PDF] [BibTex] [Abstract]

  22. C. D. Ferreira, J. A. dos Santos, R. da S. Torres, M. A. Gonçalvez, R. C. Rezende, W. Fan. Relevance Feedback based on Genetic Programming for Image Retrieval. Pattern Recognition Letters, v. 32, p. 27-37, 2011. [PDF] [BibTex] [Abstract]