DaVInt - Data Visualization and Interaction Lab
A multidisciplinary research project between Communication and Computer Science researchers gave rise to the Data Visualization and Interaction Lab, known as DaVInt lab. Officially created in 2017, DaVInt comprises students and researchers from Communication, and Computer Science and related areas. DaVInt's main research topics are related to visual analytics of social media, narrative visualization, and data science. However, computer vision projects and other individual initiatives are also developed. Its main contributions are divided into three main areas: scientific, through our publications; technological, making the results of our researches available to the community; and student education, through which we disseminate the area beyond academia.
L. Ciocari, A. Milani, and I. Manssour, “Uso de visualização de dados para auxiliar na análise e pré-processamento de dados categóricos,” in Anais Estendidos do XXXIII Conference on Graphics, Patterns and Images. Porto Alegre, RS, Brasil: SBC, 2020, pp. 195–198. [Online]. Available: https://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/13010
A. M. Milani, F. Paulovich, and I. Manssour, “Preprocessing profiling model for visual analytics,” in Anais Estendidos do XXXIII Conference on Graphics, Patterns and Images. Porto Alegre, RS, Brasil: SBC, 2020, pp. 105–111. [Online]. Available: https://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/12991
A. M. P. Milani, L. A. Loges, F. V. Paulovich, and I. H. Manssour, “Prava: Preprocessing profiling approach for visual analytics,” Information Visualization, vol. 20, no. 2-3, pp. 101–122, 2021. [Online]. Available: https://doi.org/10.1177/14738716211021591
R. Jugulum, Competing with high quality data: Concepts, tools, and techniques for building a successful approach to data quality. John Wiley & Sons, 2014.
A. Weiand, I. H. Manssour, and M. S. Silveira, “Visual analysis for monitoring students in distance coursess,” International Journal of Distance Education Technologies (IJDET), vol. 17, no. 2, pp. 18–44, 2019. [Online]. Available: http://doi.org/10.4018/IJDET.201904010
W. Signoretti, I. H. Manssour, and M. S. Silveira, “Geomultivis: helping decision-making through interactive visualizations from geospatial multivariate data,” Proceedings of AMCIS 2019, 2019, Brasil., 2019.
E. Ghidini, C. Q. Santos, I. Manssour, and M. S. Silveira, “Analyzing design strategies for narrative visualization,” in Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems, ser. IHC 2017. New York, NY, USA: Association for Computing Machinery, 2017. [Online]. Available: https://doi.org/10.1145/3160504.3160538
C. Ledur, D. Griebler, I. Manssour, and L. G. Fernandes, “A high-level dsl for geospatial visualizations with multi-core parallelism support,” in 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), vol. 1, 2017, pp. 298–304.
E. Ewald, A. Vogel, C. Rista, D. Griebler, I. Manssour, and L. Gustavo, “Parallel and distributed processing support for a geospatial data visualization dsl,” in 2018 Symposium on High Performance Computing Systems (WSCAD), 2018, pp. 221–228.
E. Ghidini, “Representação de narrativas interativas por meio de visualizações com dados extraídos de redes sociais,” Master’s thesis, Pontifical Catholic Univeristy of Rio Grande do Sul (PUCRS), 2017.
C. Q. Santos, “Civis: modelo de design de interface customizável para apoiar a construção de visualizações narrativas interativas de dados extraídos de mídias sociais,” Ph.D. dissertation, Pontifical Catholic Univeristy of Rio Grande do Sul (PUCRS), 2018.
C. Q. Santos and M. S. Silveira, “Qualitative studies on humandata interaction and data analysis collaboration in latin america,” in Proceedings of the IX Latin American Conference on Human Computer Interaction, 2019, pp. 1–4.
M. C. Ghilardi, R. C. Macedo, and I. H. Manssour, “A new approach for automatic detection of tactile paving surfaces in sidewalks,” Procedia Computer Science, vol. 80, pp. 662–672, 2016, iCCS-Int. Conf. on Computational Science, 6-8 June 2016, San Diego, California, USA.
M. C. Ghilardi, J. C. S. J. Junior, and I. H. Manssour, “Crosswalk localization from low resolution satellite images to assist visually impaired people,” IEEE Computer Graphics and Applications, vol. PP, no. 99, 2016.
M. C. Ghilardi and I. H. Manssour, “Support model for navigation on sidewalks for visually impaired persons,” in Conference on Graphics, Patterns and Images (SIBGRAPI). Porto Alegre, RS, Brasil: SBC, 2016. [Online]. Available: http://urlib.net/rep/8JMKD3MGPAW/3M9HE2L
M. C. Ghilardi, G. Sim˜oes, J. Wehrmann, I. H. Manssour, and R. C. Barros, “Real-time detection of pedestrian traffic lights for visuallyimpaired people,” in 2018 International Joint Conference on Neural Networks (IJCNN), July 2018, pp. 1–8.
P. A. Karolczak and I. H. Manssour, “Using visual analytics to reduce churn,” in To be presented at International Conference on Computational Science and Its Applications (ICCSA), 2021.
C. Q. Santos, R. Tietzmann, M. Trasel, S. Moraes, I. H. Manssour, and M. S. Silveira, “Can visualization techniques help journalists to deepen analysis of twitter data? exploring the ”germany 7 x 1 brazil” case,” in Proceedings of the 49th Hawaii International Conference on System Sciences (HICSS)., 2016, pp. 1939–1948.
C. Q. Santos, H. S. da Cunha, C. Teixeira, D. R. de Souza, R. Tietzmann, I. Manssour, M. S. Silveira, M. Trasel, D. D. A. Ruiz, and R. C. Barros, “Media professionals? opinions about interactive visualizations of political polarization during brazilian presidential campaigns on twitter,” in Proceedings of the 50th Hawaii International Conference on System Sciences (HICSS)., 2017.
C. R. G. Teixeira, G. Kurtz, L. P. Leuck, R. Tietzmann, D. R. de Souza, J. A. M. F. Lerina, I. H. Manssour, and M. S. Silveira, “Humor, support and criticism: A taxonomy for discourse analysis about political crisis on twitter,” in Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, ser. dg.o 2018. New York, NY, USA: Association for Computing Machinery, 2018, p. 1–6. [Online]. Available: https://doi.org/10.1145/3209281.3209330
C. R. G. Teixeira, G. Kurtz, L. P. Leuck, P. Sanvido, J. Scherer, R. Tietzmann, I. Manssour, and M. Silveira, “Polls, plans and tweets: An analysis of the candidates’ discourses during the 2018 brazilian presidential election,” in Proceedings of the 20th Annual International Conference on Digital Government Research, ser. dg.o 2019. New York, NY, USA: Association for Computing Machinery, 2019, p. 439–444. [Online]. Available: https://doi.org/10.1145/3325112.3329882
P. H. M. Sanvido, G. B. Kurtz, C. R. G. Teixeira, P. P. Wagner, L. Leuck, M. Silveira, I. H. Manssour, and R. Tietzmann, “Peakvis: a visual analysis tool for social network data and video broadcast,” in Presented at IEEE Computer Society Computers, Software, and Applications Conference (COMPSAC), 2021.
R. S. N. JR, M. de Richter Herrmann, and I. Manssour, “Recognition of doors and stairs using convolutional neural networks to assist visually impaired persons,” in Anais do XIV Workshop de Vis˜ao Computacional, 2018, pp. 166–171.
D. Gonçalves, G. Santos, M. Campos, A. Amory, and I. Manssour, “Braille character detection using deep neural networks for an educational robot for visually impaired people,” in Anais do XVI Workshop de Vis˜ao Computacional. Porto Alegre, RS, Brasil: SBC, 2020, pp. 123–128. [Online]. Available: https://sol.sbc.org.br/index.php/wvc/article/view/13492
S. Liu, D. Maljovec, B. Wang, P.-T. Bremer, and V. Pascucci, “Visualizing high-dimensional data: Advances in the past decade,” IEEE Transactions on Visualization and Computer Graphics, vol. 23, no. 3, pp. 1249–1268, 2017.
A. Crisan, B. Fiore-Gartland, and M. Tory, “Passing the data baton : A retrospective analysis on data science work and workers,” IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 2, pp. 1860–1870, 2021.
Ânderson Pinto Alves, A. M. P. Milani, and I. H. Manssour, “Visual analytics system for energy data in smart cities and buildings,” in 2020 IEEE International Smart Cities Conference (ISC2), 2020, pp. 1–8.
A. Weiand and I. H. Manssour, “Towards visual analysis techniques for monitoring students of distance education courses,” in Proceedings of the 6th Workshop on Visual Analytics, Information Visualization and Scientific Visualization, 2015.