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Intermediate representations in Computational Science for knowledge discovery

Grant number: 15/22308-2
Support type:Research Projects - Thematic Grants
Duration: November 01, 2017 - October 31, 2022
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Roberto Marcondes Cesar Junior
Grantee:Roberto Marcondes Cesar Junior
Home Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo, SP, Brazil
Co-Principal Investigators:Carlos Alberto Moreira Filho ; Luciano da Fontoura Costa ; Nina Sumiko Tomita Hirata
Assoc. researchers:Cesar Henrique Comin ; Edson Amaro Junior ; Fernanda Bernardi Bertonha ; Marcel Parolin Jackowski ; Maria da Graca Campos Pimentel ; Roberto Hirata Junior ; Ronaldo Fumio Hashimoto ; Silvia Yumi Bando Takahara ; Valeria Meirelles Carril Elui
Associated grant(s):18/17421-2 - 2018 IEEE International Conference on image processing, AR.EXT
Associated scholarship(s):18/10489-0 - Transformations of complex networks and their implication in topology and dynamics of complex systems, BP.PD
18/00390-7 - QR code detection using deep learning models, BP.MS
18/00477-5 - Learning image-to-image transformations, BP.MS
18/07386-5 - Segmentation of neonatal magnetic resonance imaging: a structural approach, BP.MS

Abstract

This project focuses on a unified strategy for knowledge and emerging dynamics discovery in Computational Science using intermediate representations. The intended applications are in areas characterized by large volumes of data in which knowledge discovery implies the transition from raw data bases for intermediate representations (usually feature vectors and graphs), thus allowing for the subsequent use of different analytical methods. In this context, integration and transformation methods to be used in the generation of intermediate data should also ensure the quality and reliability of data generated for the intermediate representation. The results of the analysis phase may influence both experiments and the integration methods for generating new data by feedback mechanisms. This project has two general goals: 1) to develop methodologies to solve Computational Science problems based on a common approach of intermediate mathematical-computational representations; 2) to apply the developed methodologies to different scientific problems, thus creating specific solutions to each problem. This methodological strategy will be used to address specific problems in areas which our group has been working in recent years: intermediate representations in computer vision and urban informatics; study of biological networks dynamics to characterize the mechanisms of the health-disease transition; development of computational tools for processing of MRI images high field and their integration with biological data; development of new techniques for characterization and visualization of intermediate representations in complex dynamic networks, with applications in Systems Biology. (AU)

Scientific publications (14)
(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)
DE ARRUDA, HENRIQUE F.; MARINHO, VANESSA Q.; COSTA, LUCIANO DA F.; AMANCIO, DIEGO R. Paragraph-based representation of texts: A complex networks approach. INFORMATION PROCESSING & MANAGEMENT, v. 56, n. 3, p. 479-494, MAY 2019. Web of Science Citations: 0.
VIEIRA, SANDRA E.; BANDO, SILVIA Y.; DE PAULIS, MILENA; OLIVEIRA, DANIELLE B. L.; THOMAZELLI, LUCIANO M.; DURIGON, EDISON L.; MARTINEZ, MARINA B.; MOREIRA-FILHO, CARLOS ALBERTO. Distinct transcriptional modules in the peripheral blood mononuclear cells response to human respiratory syncytial virus or to human rhinovirus in hospitalized infants with bronchiolitis. PLoS One, v. 14, n. 3 MAR 7 2019. Web of Science Citations: 0.
RODRIGUEZ, MAYRA Z.; COMIN, CESAR H.; CASANOVA, DALCIMAR; BRUNO, ODEMIR M.; AMANCIO, DIEGO R.; COSTA, LUCIANO DA F.; RODRIGUES, FRANCISCO A. Clustering algorithms: A comparative approach. PLoS One, v. 14, n. 1 JAN 15 2019. Web of Science Citations: 0.
CERVANTES, EVELYN PEREZ; COMIN, CESAR HENRIQUE; CESAR JUNIOR, ROBERTO MARCONDES; COSTA, LUCIANO DA FONTOURA. Morphological Neuron Classification Based on Dendritic Tree Hierarchy. NEUROINFORMATICS, v. 17, n. 1, p. 147-161, JAN 2019. Web of Science Citations: 1.
DE ARRUDA, HENRIQUE F.; MARINHO, VANESSA Q.; LIMA, THALES S.; AMANCIO, DIEGO R.; COSTA, LUCIANO DA F. An image analysis approach to text analytics based on complex networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 510, p. 110-120, NOV 15 2018. Web of Science Citations: 1.
DAZZI, ESTEPHAN; DE CAMPOS, TEOFILO; HILTON, ADRIAN; CESAR JR, ROBERTO M. Scalable object instance recognition based on keygraph matching. PATTERN RECOGNITION LETTERS, v. 114, n. SI, p. 53-62, OCT 15 2018. Web of Science Citations: 0.
MOREIRA-FILHO, CARLOS ALBERTO; BANDO, SILVIA YUMI; BERTONHA, FERNANDA BERNARDI; FERREIRA, LEANDRO RODRIGUES; VINHAS, CHRISTIANA DE FREITAS; BOURGUIGNON OLIVEIRA, LUCILA HABIB; NOGUEIRA ZERBINI, MARIA CLAUDIA; FURLANETTO, GLAUCIO; CHACCUR, PAULO; CARNEIRO-SAMPAIO, MAGDA. Minipuberty and Sexual Dimorphism in the Infant Human Thymus. SCIENTIFIC REPORTS, v. 8, SEP 3 2018. Web of Science Citations: 0.
DE ARRUDA, HENRIQUE F.; COMIN, CESAR H.; COSTA, LUCIANO DA F. How integrated are theoretical and applied physics?. SCIENTOMETRICS, v. 116, n. 2, p. 1113-1121, AUG 2018. Web of Science Citations: 0.
DOMINGUES, G. S.; SILVA, F. N.; COMIN, C. H.; COSTA, L. DA F. Topological characterization of world cities. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, AUG 2018. Web of Science Citations: 0.
LIMA, THALES S.; DE ARRUDA, HENRIQUE F.; SILVA, FILIPI N.; COMIN, CESAR H.; AMANCIO, DIEGO R.; COSTA, LUCIANO DA F. The dynamics of knowledge acquisition via self-learning in complex networks. Chaos, v. 28, n. 8 AUG 2018. Web of Science Citations: 1.
COSTA, LUCIANO DA F.; SILVA, FILIPI N.; COMIN, CESAR H. A pattern recognition approach to transistor array parameter variance. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 499, p. 176-185, JUN 1 2018. Web of Science Citations: 0.
FERREIRA, GUSTAVO RODRIGUES; NAKAYA, HELDER IMOTO; COSTA, LUCIANO DA FONTOURA. Gene regulatory and signaling networks exhibit distinct topological distributions of motifs. Physical Review E, v. 97, n. 4 APR 27 2018. Web of Science Citations: 0.
SOUZA, PAULO J. P.; COMIN, CESAR H.; COSTA, LUCIANO DA F. Topology and dynamics in complex networks: The role of edge reciprocity. EPL, v. 122, n. 2 APR 2018. Web of Science Citations: 0.
BANDO, SILVIA YUMI; IAMASHITA, PRISCILA; GUTH, BEATRIZ E.; DOS SANTOS, LUIS F.; FUJITA, ANDRE; ABE, CECILIA M.; FERREIRA, LEANDRO R.; MOREIRA-FILHO, CARLOS ALBERTO. A hemolytic-uremic syndrome-associated strain O113:H21 Shiga toxin-producing Escherichia coli specifically expresses a transcriptional module containing dicA and is related to gene network dysregulation in Caco-2 cells. PLoS One, v. 12, n. 12 DEC 18 2017. Web of Science Citations: 1.

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