1. Swan, M.: Sensor mania! The internet of things, wearable computing, objective metrics, and the quantified self 2.0. J. Sens. Actuator Netw. 1(3), 217–253 (2012)
2. Calero Valdez, A., Ziefle, M., Verbert, K., Felfernig, A., Holzinger, A.: Recommender systems for health informatics: state-of-the-art and future perspectives. In: Holzinger, A. (ed.) Machine Learning for Health Informatics. Lecture Notes in Computer Science, vol. 9605. Springer, Cham (2016)
3. Erdeniz, S.P., Maglogiannis, I., Menychtas, A., Felfernig, A., Tran, T.N.T.: Recommender systems for IoT enabled m-health applications. In: Iliadis, L., Maglogiannis, I., Plagianakos, V. (eds.) Artificial Intelligence Applications and Innovations. AIAI 2018. IFIP Advances in Information and Communication Technology, vol. 520. Springer, Cham (2018)
4. Ramsundar, B., Kearnes, S., Riley, P., Webster, D., Konerding, D., Pande, V.: Massively Multitask Networks for Drug Discovery (2015). arXiv:1502.02072
5. Zhang, S., Zhou, J., Hu, H., Gong, H., Chen, L., Cheng, C., Zeng, J.: A deep learning framework for modeling structural features of RNA-binding protein targets. Nucleic Acids Res. 44 (2015). https://doi.org/10.1093/nar/gkv1025