Zakhriya Alhassan, David Budgen, Ali Alessa, Riyad Alshammari, Tahani Daghstani, Noura Al Moubayed. Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction. In Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis, editors, Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings - Workshop and Special Sessions. Volume 11731 of Lecture Notes in Computer Science, pages 338-350, Springer, 2019. [doi]
@inproceedings{AlhassanBAADM19,
title = {Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction},
author = {Zakhriya Alhassan and David Budgen and Ali Alessa and Riyad Alshammari and Tahani Daghstani and Noura Al Moubayed},
year = {2019},
doi = {10.1007/978-3-030-30493-5_34},
url = {https://doi.org/10.1007/978-3-030-30493-5_34},
researchr = {https://researchr.org/publication/AlhassanBAADM19},
cites = {0},
citedby = {0},
pages = {338-350},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings - Workshop and Special Sessions},
editor = {Igor V. Tetko and Vera Kurková and Pavel Karpov and Fabian J. Theis},
volume = {11731},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-30493-5},
}