| Dqa: Scalable, automated and interactive data quality advisor S Shrivastava, D Patel, A Bhamidipaty, WM Gifford, SA Siegel, ... 2019 IEEE International Conference on Big Data (Big Data), 2913-2922, 2019 | 21 | 2019 |
| Dqlearn: A toolkit for structured data quality learning S Shrivastava, D Patel, N Zhou, A Iyengar, A Bhamidipaty 2020 IEEE International Conference on Big Data (Big Data), 1644-1653, 2020 | 18 | 2020 |
| Doctor for machines: a failure pattern analysis solution for industry 4.0 D Patel, N Zhou, S Shrivastava, J Kalagnanam 2020 IEEE International Conference on Big Data (Big Data), 1614-1623, 2020 | 13 | 2020 |
| FLOps: on learning important time series features for real-valued prediction D Patel, SY Shah, N Zhou, S Shrivastava, A Iyengar, A Bhamidipaty, ... 2020 IEEE International Conference on Big Data (Big Data), 1624-1633, 2020 | 11 | 2020 |
| Thunderml: A toolkit for enabling ai/ml models on cloud for industry 4.0 S Shrivastava, D Patel, WM Gifford, S Siegel, J Kalagnanam Web Services–ICWS 2019: 26th International Conference, Held as Part of the …, 2019 | 11 | 2019 |
| Smart-ml: A system for machine learning model exploration using pipeline graph D Patel, S Shrivastava, W Gifford, S Siegel, J Kalagnanam, C Reddy 2020 IEEE International Conference on Big Data (Big Data), 1604-1613, 2020 | 9 | 2020 |
| Chief: A change pattern based interpretable failure analyzer D Patel, LM Nguyen, A Rangamani, S Shrivastava, J Kalagnanam 2018 IEEE International Conference on Big Data (Big Data), 1978-1985, 2018 | 7 | 2018 |
| Dynamic discovery and correction of data quality issues S Shrivastava, A Bhamidipaty, DC Patel US Patent 12,013,840, 2024 | 5 | 2024 |
| Real-time data quality analysis AK Iyengar, A Bhamidipaty, DC Patel, S Shrivastava, N Zhou US Patent 11,204,851, 2021 | 5 | 2021 |
| A verifiable imputation analysis for univariate time series and enabling package N Zhou, D Patel, A Iyengar, S Shrivastava, A Bhamidipaty 2020 IEEE International Conference on Big Data (Big Data), 1764-1773, 2020 | 5 | 2020 |
| Technology for optimizing artificial intelligence pipelines DC Patel, S Shrivastava, WM Gifford US Patent App. 16/941,615, 2022 | 4 | 2022 |
| DQDF: data-quality-aware dataframes P Sinthong, D Patel, N Zhou, S Shrivastava, A Iyengar, A Bhamidipaty Proceedings of the VLDB Endowment 15 (4), 949-957, 2021 | 4 | 2021 |
| Associating disturbance events to accidents or tickets E Yashchin, N Zhou, A Bhamidipaty, DC Patel, AK Iyengar, S Shrivastava US Patent App. 17/400,276, 2023 | 3 | 2023 |
| Real-Time Data Quality Analysis A Iyengar, D Patel, S Shrivastava, N Zhou, A Bhamidipaty 2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020 | 3 | 2020 |
| Providing cooperative data analytics for real applications using machine learning A Iyengar, J Kalagnanam, D Patel, C Reddy, S Shrivastava 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 2 | 2019 |
| Scalable discovery of leaders from dynamic combinatorial search space using incremental pipeline growth approach DC Patel, S Shrivastava, JR Kalagnanam, S Siegel, WM Gifford, ... US Patent App. 17/086,277, 2022 | 1 | 2022 |
| Dynamic and continuous composition of features extraction and learning operation tool for episodic industrial process S Shrivastava, DC Patel, JR Kalagnanam, CK Reddy US Patent 12,105,772, 2024 | | 2024 |
| Identifying influential disturbances from failure or malfunction events E Yashchin, N Zhou, A Bhamidipaty, DC Patel, AK Iyengar, S Shrivastava US Patent App. 18/063,637, 2024 | | 2024 |
| Data gap mitigation N Zhou, DC Patel, E Yashchin, AK Iyengar, S Shrivastava, A Bhamidipaty US Patent App. 17/979,830, 2024 | | 2024 |
| Method and system for enhancing orchestration and automating communication between teams during IT systems testing S Shrivastava, J Willoughby, S Lin, HU Yuanchen, DC Verma US Patent 11,789,798, 2023 | | 2023 |
