Using Symmetries for Visual Analytics of Massive Data

• Grant number: 15/14358-0
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: November 01, 2015
• End date: September 30, 2019
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Luis Gustavo Nonato
• Grantee: Rodrigo Colnago Contreras
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 11/22749-8 - Challenges in exploratory visualization of multidimensional data: paradigms, scalability and applications, AP.TEM

Abstract

This project aims to use symmetry descriptors in the context of data visual analytics. More specifically, we will develop a methodology capable of characterizing symmetries on data defined on graphs and time varying data. This project will also update the visualization library develop by the Visual and Geometry Processing Group with new software packages. We will employ our methodology in the visual analysis of urban data, application developed in collaboration with the New York University. The proposed technique will also be applied to visualize large time-varying data, particularly to estimate missing data.

Scientific publications

(6)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

VIANA, MONIQUE SIMPLICIO; MORANDIN JUNIOR, ORIDES; CONTRERAS, RODRIGO COLNAGO. An Improved Local Search Genetic Algorithm with a New Mapped Adaptive Operator Applied to Pseudo-Coloring Problem dagger. SYMMETRY-BASEL, v. 12, n. 10, OCT 2020. (15/14358-0)

CONTRERAS, RODRIGO COLNAGO; NONATO, LUIS GUSTAVO; BOAVENTURA, MAURILIO; BOAVENTURA, INES APARECIDA GASPAROTTO; DOS SANTOS, FRANCISCO LLEDO; ZANIN, RODRIGO BRUNO; VIANA, MONIQUE SIMPLICIO. A New Multi-Filter Framework for Texture Image Representation Improvement Using Set of Pattern Descriptors to Fingerprint Liveness Detection. IEEE ACCESS, v. 10, p. 26-pg., 2022-01-01. (15/14358-0, 22/05186-4, 21/15165-1, 13/07375-0)

CONTRERAS, RODRIGO COLNAGO; NONATO, LUIS GUSTAVO; BOAVENTURA, MAURILIO; GASPAROTTO BOAVENTURA, INES APARECIDA; COELHO, BRUNO GOMES; VIANA, MONIQUE SIMPLICIO; RUTKOWSKI, L; SCHERER, R; KORYTKOWSKI, M; PEDRYCZ, W; et al. A New Multi-filter Framework with Statistical Dense SIFT Descriptor for Spoofing Detection in Fingerprint Authentication Systems. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING (ICAISC 2021), PT II, v. 12855, p. 14-pg., 2021-01-01. (15/14358-0)

GUIDO, RODRIGO CAPOBIANCO; PEDROSO, FERNANDO; FURLAN, ANDRE; CONTRERAS, RODRIGO COLNAGO; CAOBIANCO, LUIZ GUSTAVO; NETO, JOGI SUDA. CWT x DWT x DTWT x SDTWT: Clarifying terminologies and roles of different types of wavelet transforms. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, v. 18, n. 6, NOV 2020. (19/04475-0, 15/14358-0)

CONTRERAS, RODRIGO COLNAGO; PARNANDI, AVINASH; COELHO, BRUNO GOMES; SILVA, CLAUDIO; SCHAMBRA, HEIDI; NONATO, LUIS GUSTAVO. NE-Motion: Visual Analysis of Stroke Patients Using Motion Sensor Networks. SENSORS, v. 21, n. 13, JUL 2021. (15/14358-0, 13/07375-0)

VIANA, MONIQUE SIMPLICIO; MORANDIN JUNIOR, ORIDES; CONTRERAS, RODRIGO COLNAGO. An Improved Local Search Genetic Algorithm with a New Mapped Adaptive Operator Applied to Pseudo-Coloring Problem. SYMMETRY-BASEL, v. 12, n. 10, p. 36-pg., 2020-10-01. (15/14358-0)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

CONTRERAS, Rodrigo Colnago. Visual prediction and analysis of connection network sets between smooth signals: applications in medical stroke data. 2020. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.