Eric Macedo Cabral

Ph.D. Students

Graduated in Computer Science from the Federal University of Alagoas (2017). He obtained a master's degree in Computer Science and Computational Mathematics from the Institute of Mathematical and Computer Sciences (ICMC) at the University of São Paulo (USP) in 2020. He is currently a Ph.D. student in Computer Science and Computational Mathematics at ICMC USP. His main field of interest is in the mining of textual corpus with a visual analytics approach.

Lattes: http://lattes.cnpq.br/2466593002538245
E-mail: cabral.eric@usp.br
Homepage:

Education

Doctorate in
Ciências da Computação e Matemática Computacional
University:
Universidade de São Paulo
Year:
Thesis:
Visualizacao analítica para potencializar a descoberta de informação em coleções de documentos
Advisor:
Maria Cristina Ferreira de Oliveira
Funding:
Master in
Ciências da Computação e Matemática Computacional
University:
Universidade de São Paulo
Year:
2020
Thesis:
Interactive keyterm-based document clustering and visualization via neural language models
Advisor:
Rosane Minghim
Funding:
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Graduation in
Ciência da Computação
University:
Universidade Federal de Alagoas
Thesis:
Framework para Geração de Animações Vetoriais da LIBRAS
Advisor:
Patrick Henrique da Silva Brito
Funding:
Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publications

CABRAL, ERIC M.; REZAEIPOURFARSANGI, S.; OLIVEIRA, M. C. F.; MILIOS, E.; MINGHIM, R. Addressing the gap between current language models and key-term-based clustering. DocEng '23: Proceedings of the ACM Symposium on Document Engineering 2023 (2023). ISSN: . DOI: 10.1145/3573128.3604900

CABRAL, E. M.; MILIOS, E. E.; MINGHIM, R.. Visual analysis of interactive document clustering streams. AVI '20: Proceedings of the 2020 International Conference on Advanced Visual Interfaces (2020). ISSN: . DOI: 10.1145/3399715.3399962