1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D.G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., Zheng, X., 2016. TensorFlow: A system for large-scale machine learning. In: Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2016.
2. Application of Artificial Neural Networks (ANNs) in drying technology: a comprehensive review;Aghbashlo;Dry. Technol.,2015
3. Formulating monoclonal antibodies as powders for reconstitution at high concentration using spray drying: models and pitfalls;Batens;Eur. J. Pharm. Biopharm.,2018
4. Spray Drying of Monoclonal Antibodies: Investigating Powder-Based Biologic Drug Substance Bulk Storage;Bowen;Dry. Technol.,2013
5. Chen, T., Guestrin, C., 2016. XGBoost: A scalable tree boosting system. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. https://doi.org/10.1145/2939672.2939785.