| Mathprompter: Mathematical reasoning using large language models S Imani, L Du, H Shrivastava arXiv preprint arXiv:2303.05398, 2023 | 126 | 2023 |
| Matrix profile xii: Mpdist: a novel time series distance measure to allow data mining in more challenging scenarios S Gharghabi, S Imani, A Bagnall, A Darvishzadeh, E Keogh 2018 IEEE International Conference on Data Mining (ICDM), 965-970, 2018 | 74 | 2018 |
| Matrix profile XIII: Time series snippets: A new primitive for time series data mining S Imani, F Madrid, W Ding, S Crouter, E Keogh 2018 IEEE international conference on big knowledge (ICBK), 382-389, 2018 | 60 | 2018 |
| Matrix profile xx: Finding and visualizing time series motifs of all lengths using the matrix profile F Madrid, S Imani, R Mercer, Z Zimmerman, N Shakibay, E Keogh 2019 IEEE International conference on big knowledge (ICBK), 175-182, 2019 | 54 | 2019 |
| An ultra-fast time series distance measure to allow data mining in more complex real-world deployments S Gharghabi, S Imani, A Bagnall, A Darvishzadeh, E Keogh Data Mining and Knowledge Discovery 34, 1104-1135, 2020 | 52 | 2020 |
| Fitbit for chickens? Time series data mining can increase the productivity of poultry farms A Abdoli, S Alaee, S Imani, A Murillo, A Gerry, L Hickle, E Keogh Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 23 | 2020 |
| Matrix profile XIX: time series semantic motifs: a new primitive for finding higher-level structure in time series S Imani, E Keogh 2019 IEEE International Conference on Data Mining (ICDM), 329-338, 2019 | 22 | 2019 |
| Introducing time series snippets: a new primitive for summarizing long time series S Imani, F Madrid, W Ding, SE Crouter, E Keogh Data Mining and Knowledge Discovery 34, 1713-1743, 2020 | 17 | 2020 |
| Putting the human in the time series analytics loop S Imani, S Alaee, E Keogh Companion proceedings of the 2019 World Wide Web conference, 635-644, 2019 | 15 | 2019 |
| Multi-window-finder: Domain agnostic window size for time series data S Imani, A Abdoli, A Beyram, A Imani, E Keogh MileTS, 2021 | 10 | 2021 |
| Natura: towards conversational analytics for comparing and contrasting time series S Imani, E Keogh Companion Proceedings of the Web Conference 2020, 46-47, 2020 | 4 | 2020 |
| Time2Cluster: Clustering time series using neighbor information S Imani, A Abdoli, E Keogh Proceedings of the 38th International Conference on Machine Learning (ICML), 1-5, 2021 | 3 | 2021 |
| tGLAD: A Sparse Graph Recovery Based Approach for Multivariate Time Series Segmentation S Imani, H Shrivastava International Workshop on Advanced Analytics and Learning on Temporal Data …, 2023 | 1 | 2023 |
| [Industry] MathPrompter: Mathematical Reasoning using Large Language Models S Imani, L Du, H Shrivastava The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | 1 | 2023 |
| DiversiGATE: A comprehensive framework for reliable large language models S Imani, A Beyram, H Shrivastava arXiv preprint arXiv:2306.13230, 2023 | 1 | 2023 |
| Qute: Query by Text Search for Time Series Data S Imani, S Alaee, E Keogh Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2, 412-427, 2021 | 1 | 2021 |
| Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models M Diesendruck, J Lin, S Imani, G Mahalingam, M Xu, J Zhao arXiv preprint arXiv:2402.08756, 2024 | | 2024 |
| Exploring Group and Symmetry Principles in Large Language Models S Imani, H Palangi arXiv preprint arXiv:2402.06120, 2024 | | 2024 |
| Check for updates tGLAD: A Sparse Graph Recovery Based Approach for Multivariate Time Series Segmentation S Imani, H Shrivastava Advanced Analytics and Learning on Temporal Data: 8th ECML PKDD Workshop …, 2023 | | 2023 |
| Are uGLAD? Time will tell! S Imani, H Shrivastava arXiv preprint arXiv:2303.11647, 2023 | | 2023 |
Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
