@inproceedings{9e1df90221b244f5a5f0af5d02edc4ef,
title = "Data cleansing for computer models: A case study from immunology",
abstract = "Knowledge discovery from databases (KDD) in biology largely depends on the use of accurate computer models of biological processes. KDD applications in immunology include the discovery of vaccine targets and new functional relations within the immune system. We describe a process of development and refinement of artificial neural network models of the human HLA-DR1 molecule, useful for the discovery of peptide vaccines. High accuracy of these models was achieved by data cleansing techniques and by cyclical retraining using new data.",
author = "Vladirnir Brusic and John Zeleznikow and Tiziana Sturniolo and Elisa Bono and J{\"u}rgen Hammer",
note = "Publisher Copyright: {\textcopyright} 1999 IEEE.; 6th International Conference on Neural Information Processing, ICONIP 1999 ; Conference date: 16-11-1999 Through 20-11-1999",
year = "1999",
doi = "10.1109/ICONIP.1999.845663",
language = "English",
series = "ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "603--609",
booktitle = "ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings",
address = "United States",
}
