Renato Rodrigues Oliveira da Silva
Alumni
PhD in computer science in a double-degree cooperation between the University of São Paulo (ICMC, USP, Brazil) and the University of Groningen (JBI, RuG, The Netherlands). Master and Bachelor degrees in computer science at University of São Paulo (ICMC, USP, Brazil). Currently works as teacher at Faculdade Impacta Tecnologia (FIT) and software developer at Instituto Federal de São Paulo (IFSP). His research interests are focused on Information Visualization, Visual Analytics, Data Mining, Machine Learning and Multidimensional Projections.
Lattes: http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4713324Y2
E-mail: rros@usp.br
Homepage:
Education
Publications
DA SILVA, RENATO R. O.; PAIVA, JOSÉ GUSTAVO S.; TELLES, GUILHERME P.; ZAMPIERI, CARLOS E. A.; ROLLI, FÁBIO P.; MINGHIM, ROSANE. The Visual SuperTree: similarity-based multi-scale visualization. THE VISUAL COMPUTER (INTERNET) (2019). ISSN: 14322315. DOI: 10.1007/s00371-019-01696-5
DA SILVA, RENATO R.O.; RAUBER, PAULO E.; TELEA, ALEXANDRU C.. Beyond the Third Dimension: Visualizing High-Dimensional Data with Projections. Computing in Science & Engineering (Print) (2016). ISSN: 15219615. DOI: 10.1109/MCSE.2016.90
DA SILVA, RENATO R. O.; VERNIER, E. F.; RAUBER, P. E.; COMBA, J. L. D.; MINGHIM, R.; TELEA, A. C.. Metric Evolution Maps: Multidimensional Attribute-driven Exploration of Software Repositories. VMV 2016 (2016). ISSN: . DOI: 10.2312/vmv.20161343
RAUBER, P. E.; MARTINS, R. M.; MINGHIM, R.; TELEA, A. C.; SILVA, R. R. O.. Attribute-based Visual Explanation of Multidimensional Projections. EuroVis Workshop on Visual Analytics (EuroVA) (2015). ISSN: . DOI: 10.2312/eurova.20151100
RAUBER, P. E.; FERINGA, S.; CELEBI, M. E.; FALCAO, A. X.; TELEA, A. C.; SILVA, R. R. O.. Interactive Image Feature Selection Aided by Dimensionality Reduction. EuroVis Workshop on Visual Analytics (EuroVA) (2015). ISSN: . DOI: 10.2312/eurova.20151098
CERRI, R.; CARVALHO, A. C. P. L. F.; SILVA, R. R. O.. Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques. Lecture Notes on Bioinformatics (2009). ISSN: . DOI: 10.1007/978-3-642-03223-3_10