Memstream: Memory-based streaming anomaly detection S Bhatia, A Jain, S Srivastava, K Kawaguchi, B Hooi Proceedings of the ACM Web Conference 2022, 610-621, 2022 | 19 | 2022 |
Anytime frequent itemset mining of transactional data streams P Goyal, JS Challa, S Shrivastava, N Goyal Big Data Research 21, 100146, 2020 | 14 | 2020 |
On the learning capabilities of recurrent neural networks: a cryptographic perspective S Srivastava, A Bhatia 2018 IEEE International Conference on Big Knowledge (ICBK), 162-167, 2018 | 12 | 2018 |
A novel PSO based algorithm to find initial seeds for the k-means clustering algorithm L Goel, N Jain, S Srivastava Communication and computing systems: proceedings of the international …, 2017 | 10 | 2017 |
AnyFI: An anytime frequent itemset mining algorithm for data streams P Goyal, JS Challa, S Shrivastava, N Goyal 2017 IEEE International Conference on Big Data (Big Data), 942-947, 2017 | 8 | 2017 |
ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units S Srivastava, V Rajan IEEE Journal of Biomedical and Health Informatics, 2023 | 2 | 2023 |
Clustering Aware Classification for Risk Prediction and Subtyping in Clinical Data S Srivastava, S Bhatia, L Huang, LJ Heng, K Kawaguchi, V Rajan arXiv preprint arXiv:2102.11872, 2021 | 1 | 2021 |
Extracting Addresses from Unstructured Text Using Bi-directional Recurrent Neural Networks S Srivastava 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1511-1513, 2018 | | 2018 |
Studying the Role of Kinect as a Multi-Sensory Learning Platform for Children H Sinha, S Srivastava, Y Sinha Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | | 2018 |