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Semi-Supervised Dimensionality Reduction based on Partial Least Squares for Visual Analysis of High Dimensional Data., , , and . Comput. Graph. Forum, 31 (3pt4): 1345-1354 (2012)An Approach to Supporting Incremental Visual Data Classification., , , and . IEEE Trans. Vis. Comput. Graph., 21 (1): 4-17 (2015)Role of absence in academic success: an analysis using visualization tools., , , , , , , and . Smart Learn. Environ., 7 (1): 2 (2020)A scalable node ordering strategy based on community structure for enhanced temporal network visualization., , , , , and . Comput. Graph., (2019)Improved Similarity Trees and their Application to Visual Data Classification., , , , and . IEEE Trans. Vis. Comput. Graph., 17 (12): 2459-2468 (2011)DyNetVis: a system for visualization of dynamic networks., , , and . SAC, page 187-194. ACM, (2017)Computational techniques to support classification of images and other data (Técnicas computacionais de apoio à classificação visual de imagens e outros dados).. University of São Paulo, Brazil, (2012)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-02042013-084718).The Visual SuperTree: similarity-based multi-scale visualization., , , , , and . Vis. Comput., 35 (6-8): 1067-1080 (2019)Visual analysis for evaluation of community detection algorithms., , , , , and . Multim. Tools Appl., 79 (25-26): 17645-17667 (2020)A Computational System for Structural Visual Analysis of Labor Accident Data., , and . ISVC (2), volume 11845 of Lecture Notes in Computer Science, page 443-454. Springer, (2019)