Holodetect: Few-shot learning for error detection A Heidari, J McGrath, IF Ilyas, T Rekatsinas Proceedings of the ACM SIGMOD International Conference on Management of Data …, 2019 | 164 | 2019 |
Approximate denial constraints E Livshits, A Heidari, IF Ilyas, B Kimelfeld The VLDB journal 13 (10), 2020 | 53 | 2020 |
Record Fusion via Inference and Data Augmentation A Heidari, G Michalopoulos, IF Ilyas, T Rekatsinas ACM/JMS Journal of Data Science 1 (1), 1-23, 2023 | 13* | 2023 |
Approximate inference in structured instances with noisy categorical observations A Heidari, IF Ilyas, T Rekatsinas Uncertainty in Artificial Intelligence, 412-421, 2020 | 9 | 2020 |
On sampling from data with duplicate records A Heidari, S Kushagra, IF Ilyas arXiv preprint arXiv:2008.10549, 2020 | 4 | 2020 |
MetaHive: A Cache-Optimized Metadata Management for Heterogeneous Key-Value Stores A Heidari, A Ahmadi, Z Zhi, W Zhang The VLDB journal, 2024 | 1 | 2024 |
UpLIF: An Updatable Self-Tuning Learned Index Framework A Heidari, A Ahmadi, W Zhang Proceedings of the 28th International Database Engineered Applications Symposium, 2024 | | 2024 |
Structured Prediction on Dirty Datasets A Heidari https://uwspace.uwaterloo.ca/items/92b1e252-fdfe-4c14-9bfd-7c92c13fd584, 2021 | | 2021 |
Approximate Inference in Structured Instances with Noisy Categorical Observations–Supplementary Material A Heidari, IF Ilyas, T Rekatsinas Uncertainty in Artificial Intelligence, 2020 | | 2020 |