Alberto Ferreira De Souza — accepted AI-conference papers

2025

Automatic Multiple-Choice Question Generation and Evaluation Systems Based on LLM: A Study Case With University Resolutions

Sérgio Silva Mucciaccia, Thiago Meireles Paixão, Filipe Wall Mutz, Claudine Santos Badue, Alberto Ferreira de Souza, Thiago Oliveira-Santos

COLING 2025main

Multiple choice questions (MCQs) are often used in both employee selection and training, providing objectivity, efficiency, and scalability. However, their creation is resource-intensive, requiring significant expertise and financial investment. This study leverages large language models (LLMs) and…

Cited by 2 Source ↗PDF ↗Scholar ↗

2015

Image-based mapping, global localization and position tracking using VG-RAM weightless neural networks

Lauro J. Lyrio, Thiago Oliveira-Santos, Claudine Badue, Alberto Ferreira De Souza

ICRA 2015poster

Humans can easily memorize images of places and labels (road names, addresses, etc.) associated with them, as well as trajectories defined by sequences of images and corresponding positions. Later, they are able to remember places' labels and relative positions when seeing the same images again. In…

Cited by 21 Source ↗Scholar ↗

2015

Re-emission and satellite aerial maps applied to vehicle localization on urban environments

Lucas De Paula Veronese, Edilson de Aguiar, Rafael Correia Nascimento, Jose Guivant, Fernando A. Auat Cheein, Alberto Ferreira De Souza +1

IROS 2015poster

Vehicle localization in large-scale urban environments has been commonly addressed as a map-matching problem in the literature. Generally, the maps are 2D images of the world where each pixel covers a part of it. However, building maps for large-scale urban environments requires driving the vehicle…

Cited by 43 Source ↗Scholar ↗