Sarwan Ali, Pin-Yu Chen, Murray Patterson. Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences. In Xuan Guo, Serghei Mangul, Murray Patterson, Alexander Zelikovsky, editors, Bioinformatics Research and Applications - 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9-12, 2023, Proceedings. Volume 14248 of Lecture Notes in Computer Science, pages 1-15, Springer, 2023. [doi]
@inproceedings{AliCP23-1,
title = {Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences},
author = {Sarwan Ali and Pin-Yu Chen and Murray Patterson},
year = {2023},
doi = {10.1007/978-981-99-7074-2_1},
url = {https://doi.org/10.1007/978-981-99-7074-2_1},
researchr = {https://researchr.org/publication/AliCP23-1},
cites = {0},
citedby = {0},
pages = {1-15},
booktitle = {Bioinformatics Research and Applications - 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9-12, 2023, Proceedings},
editor = {Xuan Guo and Serghei Mangul and Murray Patterson and Alexander Zelikovsky},
volume = {14248},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-981-99-7074-2},
}