Machine Learning

Undergraduate in Software Engineering, University of Brasília

Undergraduate in Computing, Federal Institute of Education, Science, and Technology of Southern Minas Gerais

Undergraduate in Computer Science, Federal Institute of Education, Science, and Technology of Ceará

The cross-cutting layer of the CEDIS Ecosystem gathers the signals from Slides, Atlas and Concept Studio into a pseudonymised, k-anonymous warehouse. Ingest and API are in …

Henrique Azevedo Batalha and Marina Márcia Costa de Souza presented at FCTE/UnB the TCC1 that integrates the Suricata IDS with a Random Forest classifier — trained on the …

The software for non-invasive prediction of euploidy in human embryos received a computer program registration certificate granted by INPI, under process BR512026003650-0.

Evidentia Review, software developed by CEDIS, helps research teams plan, conduct, and report systematic literature reviews with audit trails and reproducible reports.

Diego Emanuel Ferreira da Rocha presented at UnB’s Applied Computing graduate program the qualification exam of a dissertation that automates elementary-process identification …

Leonardo Milomes Vitoriano and Mateus de Almeida Dias defended at FCTE/UnB an undergraduate thesis presenting Three Filters — a system to ensure quality and integrity of scientific …

Amanda Jeniffer Pereira Nobre and Ana Carolina Rodrigues Leite defended at FCTE/UnB an undergraduate thesis running a systematic literature mapping on the ethical challenges tied …

Maria Eduarda dos Santos Abritta Ferreira and Sabrina Caldas Berno defended at FCTE/UnB an undergraduate thesis applying machine learning to the non-invasive prediction of euploidy …

Daniela Soares de Oliveira and Danilo Domingo Vitoriano Silva defended at FCTE/UnB an undergraduate thesis building an AI model for Brazilian Sign Language translation — a …