Modest von Korff, Olivier Corminboeuf, John Gatfield, Sébastien Jeay, Isabelle Reymond, Thomas Sander. Predictive Power of Time-Series Based Machine Learning Models for DMPK Measurements in Drug Discovery. 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 741-746, Springer, 2019. [doi]
@inproceedings{KorffCGJRS19,
title = {Predictive Power of Time-Series Based Machine Learning Models for DMPK Measurements in Drug Discovery},
author = {Modest von Korff and Olivier Corminboeuf and John Gatfield and Sébastien Jeay and Isabelle Reymond and Thomas Sander},
year = {2019},
doi = {10.1007/978-3-030-30493-5_67},
url = {https://doi.org/10.1007/978-3-030-30493-5_67},
researchr = {https://researchr.org/publication/KorffCGJRS19},
cites = {0},
citedby = {0},
pages = {741-746},
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},
}