Articles — International Languages

DISSERTAÇÃO PROFMAT Created by Michelle Cristina de Sousa Baltazar HTML CSS PYTHON MATPLOTLIB MATH LATEX BEAMER OCTAVE RAPIDMINER GIMP INKSCAPE SCRATCH

Configuration Themes: Awesome-CV Compiler par xelatex.

A test feletti polinomok maradékos osztásáról szóló tétel bizonyítása. (Az SZTE matematika alapszak Algebra és számelmélet (MBNK13) kurzusához házi feladat.)

Usado na Oficina 2016-08-01-ufpr

如何使用 LaTeX 排版论文 清华大学图书馆 LaTeX 排版讲座用幻灯片。 本幻灯片源码也可从 GitHub 获取。

Um artigo sobre controle digital de conversores CC-CC tipo buck utilizando microcontrolador STM cortex-m0+.

Template for students in physics at Reykjavik University.

In most corruption scandals, the use of front companies for money laundering is almost ubiquitous. This work proposes to apply image classification to detect such organizations, through the use of Convolutional Neural Networks (CNN), namely the AlexNet architecture. The images are obtained by address search in Google Street View API, and the resulting classification will be further used along with other features to detect front com- panies in order to help the auditors from the Ministry of Transparency and Office of the Comptroller General (CGU, in Portuguese). To this moment, we applied classification to almost 15 thousand suppliers scenes with active contracts with the Brazilian Government until September 2016, obtained through data matching between the Government Purchases database and the Brazilian Federal Revenue Office database (more recent scenes should be added as this work progresses). Preliminary results with a pre-trained AlexNet CNN show the need for developing new scene classes more suited to the Brazilian context. In order to do this, we propose to apply clustering algorithms in features extracted from the last fully-connected layer of this net. The classes obtained will be used to fine-tune the AlexNet CNN for future classification, through the use of training from scratch or fine tuning techniques.

The following slides were presented in front of Board of Planning and Development of West Java Province, Indonesia. The objective is to promote open archiving for governmental data.