| Overview and importance of data quality for machine learning tasks A Jain, H Patel, L Nagalapatti, N Gupta, S Mehta, S Guttula, S Mujumdar, ... Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 198 | 2020 |
| Data quality for machine learning tasks N Gupta, S Mujumdar, H Patel, S Masuda, N Panwar, S Bandyopadhyay, ... Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 70 | 2021 |
| Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets N Gupta, H Patel, S Afzal, N Panwar, RS Mittal, S Guttula, A Jain, ... arXiv preprint arXiv:2108.05935, 2021 | 29 | 2021 |
| Advances in exploratory data analysis, visualisation and quality for data centric ai systems H Patel, S Guttula, RS Mittal, N Manwani, L Berti-Equille, A Manatkar Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 16 | 2022 |
| Automatic Assessment of Quality of your Data for AI H Patel, N Gupta, N Panwar, R Sharma Mittal, S Mehta, S Guttula, ... Proceedings of the 5th Joint International Conference on Data Science …, 2022 | 9 | 2022 |
| Development of an enterprise-grade contract understanding system A Agarwal, L Chiticariu, PC Raman, M Danilevsky, D Ghazi, A Gupta, ... Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 4 | 2021 |
| & Munigala, V.(2020, August). Overview and importance of data quality for machine learning tasks A Jain, H Patel, L Nagalapatti, N Gupta, S Mehta, S Guttula Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 0 | 3 | |
| A Data-centric AI Framework for Automating Exploratory Data Analysis and Data Quality Tasks H Patel, S Guttula, N Gupta, S Hans, RS Mittal, L N ACM Journal of Data and Information Quality 15 (4), 1-26, 2023 | 2 | 2023 |
| Contrasting document-embedded structured data and generating summaries thereof A Gupta, V Munigala, A Agarwal, SC Guttula, MH Vasa US Patent 11,500,840, 2022 | 1 | 2022 |
| Data transformation methodology using generated program code and token mappings SC Guttula, PK Lohia, N Gupta, H Patel US Patent 11,928,126, 2024 | | 2024 |
| Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems NA Kumar, N Gupta, S Guttula, H Patel arXiv preprint arXiv:2307.03966, 2023 | | 2023 |
| Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems N Ashok Kumar, N Gupta, S Guttula, H Patel arXiv e-prints, arXiv: 2307.03966, 2023 | | 2023 |
| Data Transformations for Mapping Enterprise Applications R Ramalingam, N Surabathina, T Mruthyunjaya, N Gupta, PK Lohia, ... US Patent App. 17/456,854, 2023 | | 2023 |
| Identification of changes between document versions A Agarwal, V Munigala, MH Vasa, S Guttula, A Gupta, NG Phan US Patent 11,630,869, 2023 | | 2023 |
| Automatically improving data annotations by processing annotation properties and user feedback SC Guttula, N Gupta, PK Lohia, H Patel US Patent App. 17/494,987, 2023 | | 2023 |
| Classifying data from de-identified content A Kannan, B Ganesan, SC Guttula US Patent App. 17/238,567, 2022 | | 2022 |
| Quality assessment of machine-learning model dataset H Patel, L Nagalapatti, N Panwar, N Gupta, RS Mittal, S Mehta, ... US Patent App. 17/035,111, 2022 | | 2022 |
| Document Structure Measure for Hypernym discovery A Kannan, SC Guttula, B Ganesan, HP Karanam, A Kumar arXiv preprint arXiv:1811.12728, 2018 | | 2018 |
