FastIoT: an efficient and very fast compression model for displaying a huge volume of IoT data in web environments. - Mateus Begnini Melchiades; César David Paredes Crovato; Everton Nedel; Lincoln Vinicius Schreiber; Rodigo Da Rosa Righi (Int. J. Grid Util. Comput., 2021)

A Machine Learning Pipeline for Extracting Decision-Support Features from Traffic Scenes. - Vitor A. Fraga; Lincoln Schreiber; Rafael Kunst; Jorge L. V. Barbosa; Gabriel de Oliveira Ramos (ATT@IJCAI, 2022)

On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control. - Lincoln Vinicius Schreiber; Lucas Nunes Alegre; Ana L. C. Bazzan; Gabriel de Oliveira Ramos (IJCNN, 2022)

Above-ground Biomass Wheat Estimation: Deep Learning with UAV-based RGB Images. - Lincoln Vinicius Schreiber; João Gustavo Atkinson Amorim; Leticia V. Guimaraes; Debora Motta Matos; Celso Maciel da Costa; Adriane Parraga (Appl. Artif. Intell., 2022)

A machine learning pipeline for extracting decision-support features from traffic scenes. - Vitor A. Fraga; Lincoln Vinicius Schreiber; Marco Antonio Chitolina Da Silva; Rafael Kunst; Jorge L. V. Barbosa; Gabriel de Oliveira Ramos (AI Commun., 2024)