BEZERRA, P. M. S. ; VON ZUBEN, F. J. ; COELHO, G. P. . Multi-objective Optimization based on a Multi-criteria Estimation of Distribution. In: 2018 International Conference on Artificial Intelligence (ICAI'18), 2018, Las Vegas. Proceedings of the 2018 International Conference on Artificial Intelligence, 2018. p. 143-149.

BORGES, E. ; COELHO, G. P. . CIP-aiNet: An Entropy-based Immune Network for Multiple Clustering. In: 2018 IEEE Congress on Evolutionary Computation (CEC), 2018, Rio de Janeiro. Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018.

SOUZA, R. M. S. ; COELHO, G. P. ; SANTOS, A. A. S. ; SCHIOZER, D. J. . Search Operators for Genetic Algorithms Applied to Well Positioning in Oil Fields. In: 7th Brazilian Conference on Intelligent Systems (BRACIS), 2018, São Paulo. Proceedings of the 7th Brazilian Conference on Intelligent Systems (BRACIS), 2018. p. 498-503.

MEIRA, L. A. A. ; COELHO, G. P. ; SANTOS, A. A. S. ; SCHIOZER, D. J. . Selection of Representative Models for Decision Analysis Under Uncertainty. Computers & Geosciences, v. 88, p. 67-82, 2016.

SOUZA, R. M. S. ; COELHO, G. P. ; SILVA, A. E. A. ; POZZA, S. A. . Using ensembles of artificial neural networks to improve PM10 forecasts. Chemical Engineering transactions, v. 43, p. 2161-2166, 2015.

MOREIRA, A. L. M. ; HAYASHI, T. W. N. ; COELHO, G. P. ; SILVA, A. E. A. . A Clustering Method for Weak Signals to Support Anticipative Intelligence. International Journal of Artificial Intelligence and Expert Systems, v. 6, p. 1-14, 2015.

SILVA, D. G. ; NADALIN, E. Z. ; COELHO, G. P. ; DUARTE, L. T. ; SUYAMA, R. ; ATTUX, R. R. F. ; VON ZUBEN, F. J. ; MONTALVAO, J. . A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order. Signal Processing (Print), v. 96, p. 153-163, 2014.