Adriano L. I. Oliveira, Fernando Buarque de Lima Neto, Silvio Romero de Lemos Meira. A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series. In Valerie Barr, Zdravko Markov, editors, Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, Miami Beach, Florida, USA. pages 670-675, AAAI Press, 2004.
@inproceedings{OliveiraNM04,
title = {A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series},
author = {Adriano L. I. Oliveira and Fernando Buarque de Lima Neto and Silvio Romero de Lemos Meira},
year = {2004},
tags = {rule-based},
researchr = {https://researchr.org/publication/OliveiraNM04},
cites = {0},
citedby = {0},
pages = {670-675},
booktitle = {Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, Miami Beach, Florida, USA},
editor = {Valerie Barr and Zdravko Markov},
publisher = {AAAI Press},
isbn = {1-57735-201-7},
}