Adelson de Araujo

Adelson de Araujo

PhD candidate.

Publications

Enhancing Student Dialogue Productivity with Learning Analytics and Fuzzy Rules

Published in 25th International Conference on Artificial Intelligence in Education (AIED24), 2024

This study explores the use of the Collaborative Learning Agent for Interactive Reasoning (Clair)

Recommended citation: de Araujo, A., Martens, J., & Papadopoulos, P. M. (2024, July). Enhancing Student Dialogue Productivity with Learning Analytics and Fuzzy Rules. In International Conference on Artificial Intelligence in Education (pp. 397-404). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-64299-9_36 https://link.springer.com/chapter/10.1007/978-3-031-64299-9_36

A platform for citizen cooperation during the COVID-19 pandemic in RN, Brazil

Published in 2020 IEEE International Smart Cities Conference (ISC2), 2020

In a partnership of the Natal smart city initiative of the university and the public ministry, we deployed the “Tô de Olho” (TdO) platform for integrating different sectors of society against coronavirus spreading in the state of RN, Brazil

Recommended citation: A. de Araujo et al., "A Platform for Citizen Cooperation during the COVID-19 Pandemic in RN, Brazil," 2020 IEEE International Smart Cities Conference (ISC2), 2020, pp. 1-8, doi: 10.1109/ISC251055.2020.9239008. https://ieeexplore.ieee.org/abstract/document/9239008

A systematic review on spatial crime forecasting

Published in Crime Science, 2020

We follow the PRISMA guidelines for reporting this systematic literature review and we analyse 32 papers from 2000 to 2018. We identified several opportunities and strengths there are also some weaknesses and threats for which we provide suggestions.

Recommended citation: Kounadi, O., Ristea, A., Araujo, A. et al. A systematic review on spatial crime forecasting. Crime Sci 9, 7 (2020). https://doi.org/10.1186/s40163-020-00116-7 https://link.springer.com/article/10.1186/s40163-020-00116-7

A predictive policing application to support patrol planning in smart cities

Published in 2017 International Smart Cities Conference (ISC2), 2018

ROTA-Analytics supports multiple machine and statistical learning methods selection to create an environment of crime prediction in different areas of the city.

Recommended citation: A. Araujo, N. Cacho, A. C. Thome, A. Medeiros and J. Borges, "A predictive policing application to support patrol planning in smart cities," 2017 International Smart Cities Conference (ISC2), 2017, pp. 1-6, doi: 10.1109/ISC2.2017.8090817. https://ieeexplore.ieee.org/abstract/document/8090817