[Google Scholar] [DBLP]

  • D. Y. T. Chino, A. F. Costa, A. J. M. Traina and C. Faloutsos, VolTime: Unsupervised Anomaly Detection on Users’ Online Activity Volume, in SIAM Conference on Data Mining (SDM), 2017, pp. 1-10 (to appear). [paper]

  • A. F. Costa, A. J. M. Traina, C. Traina Jr., and C. Faloutsos, Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites, in IEEE ICDM, 2016, pp. 91-100 (to appear). [paper] [presentation] [code/data]

  • M. T. Cazzolato, M. V. N. Bedo, A. F. Costa, J. A. de Souza, C. Traina Jr., and A. J. M. Traina, Unveiling smoke in social images with the SmokeBlock approach, in ACM SAC, 2016, pp. 49–54. [paper]

  • M. V. N. Bedo, G. Blanco, W. D. De Oliveira, M. T. Cazzolato, A. F. Costa, J. F. Rodrigues Jr., A. J. M. Traina, and C. Traina Jr., Techniques for Effective and Efficient Fire Detection from Social Media Images, in International Conference on Enterprise Information Systems (ICEIS), 2015, pp. 34–46. [paper]

  • A. F. Costa, Y. Yamaguchi, A. J. M. Traina, C. Traina Jr., and C. Faloutsos, RSC: Mining and Modeling Temporal Activity in Social Media, in International Conference on Knowledge Discovery and Data Mining, 2015, pp. 269–278. [paper] [code/data]

  • A. F. Costa, A. J. M. Traina, and C. Traina Jr., MFS-Map: efficient context and content combination to annotate images, in ACM SAC, 2014, pp. 945–950. [paper]

  • A. F. Costa, G. Humpire-Mamani, and A. J. M. Traina, An Efficient Algorithm for Fractal Analysis of Textures, in Conference on Graphics, Patterns and Images (SIBGRAPI), 2012, pp. 39–46. [paper] [code]

  • A. F. Costa, J. Tekli, and A. J. M. Traina, Fast Fractal Stack: Fractal Analysis of Computed Tomography Scans of the Lung, in International ACM Workshop on Medical Multimedia Analysis and Retrieval, 2011, pp. 13–18. [paper]