1. Unsupervised real-time anomaly detection for streaming data
2. Amershi , S. et al. Guidelines for Human-AI Interaction . In Proceedings of the 2019 CHI Conf. Human Factors in Computing Systems. ACM , New York, NY, USA, 1--13. Amershi, S. et al. Guidelines for Human-AI Interaction. In Proceedings of the 2019 CHI Conf. Human Factors in Computing Systems. ACM, New York, NY, USA, 1--13.
3. Anandkumar , A. Data Augmentation. Data-centric AI Resource Hub , 2021 ; https://datacentricai.org/data-augmentation/ Anandkumar, A. Data Augmentation. Data-centric AI Resource Hub, 2021; https://datacentricai.org/data-augmentation/
4. Aragon , C. , Guha , S. , Kogan , M. , Muller , M. , and Neff , G . Human-Centered Data Science: An Introduction . MIT Press . Cambridge, MA, USA, 2022 . Aragon, C., Guha, S., Kogan, M., Muller, M., and Neff, G. Human-Centered Data Science: An Introduction. MIT Press. Cambridge, MA, USA, 2022.
5. Data excellence for AI