Bruno Brandoli

  • PhD in Computer Science
  • ICMC, University of São Paulo

Current Research Interests

AI, Deep Learning

Event Detection and Classification

Latest and Selected Publications

Aircraft fuselage corrosion detection using artificial intelligence

Sensors, 2021
Bruno Brandoli et al.
pdf / bibtex

Pay Attention to Evolution - Time Series Forecasting with Deep Graph-Evolution Learning

TPAMI - Transactions on Pattern Analysis and Machine Intelligence, 2021
Gabriel Spadon, S Song, Bruno Brandoli, S Matwin, Jose F.R.-Jr and Jimeng Sun
pdf / bibtex

A smartphone application to measure the quality of pest control spraying machines via image analysis

ACM Multimedia Conference, 2018
Bruno Brandoli et al.
pdf / bibtex / project page

A complex network approach for nanoparticle agglomeration analysis in nanoscale images

Journal of Nanoparticle Research, 2017
Bruno Brandoli et al.
pdf / bibtex / project page

BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory

Computers and Electronics in Agriculture, 2016
Bruno Brandoli et al.
pdf / bibtex / project page

Mice and larvae tracking using a particle filter with an auto-adjustable observation model

Pattern Recognition Letters, 2010
Hemerson Pistori et al.
pdf / bibtex

Full List of Publications



Best Doctorate Thesis from the Institute of Mathematical and Computer Science, USP

at ICMC/University of São Paulo, São Carlos. Under supervision of Prof. Jose F. Rodrigues Jr.

Finalist of the Best Thesis Contest promoted by the Brazilian Computer Society

at Mackenzie University, São Paulo. Under supervision of Prof. Jose F. Rodrigues Jr.

Distinguished Student, São Paulo Advanced School on eScience for Bioenergy

at CNPEM - National Center for Research in Energy and Materials, Campinas.

Young Talent, Advanced School of Computing - SP-ASC

at IME - Institute of Mathematics and Statistics, São Paulo.