| Information commons for rice (IC4R) IC4R Project Consortium Nucleic acids research 44 (D1), D1172-D1180, 2016 | 44 | 2016 |
| Change-point detection method for clinical decision support system rule monitoring S Liu, A Wright, M Hauskrecht Artificial intelligence in medicine 91, 49-56, 2018 | 38 | 2018 |
| RiceWiki: a wiki-based database for community curation of rice genes Z Zhang, J Sang, L Ma, G Wu, H Wu, D Huang, D Zou, S Liu, A Li, L Hao, ... Nucleic acids research 42 (D1), D1222-D1228, 2014 | 32 | 2014 |
| ELM-based name disambiguation in bibliography D Han, S Liu, Y Hu, B Wang, Y Sun World Wide Web 18 (2), 253-263, 2015 | 30 | 2015 |
| Nonparametric regressive point processes based on conditional gaussian processes S Liu, M Hauskrecht Advances in neural information processing systems 32, 2019 | 29 | 2019 |
| Change-point detection method for clinical decision support system rule monitoring S Liu, A Wright, M Hauskrecht Artificial Intelligence in Medicine: 16th Conference on Artificial …, 2017 | 19 | 2017 |
| Online conditional outlier detection in nonstationary time series S Liu, A Wright, M Hauskrecht The Thirtieth International Flairs Conference, 2017 | 17 | 2017 |
| Event outlier detection in continuous time S Liu, M Hauskrecht International Conference on Machine Learning, 6793-6803, 2021 | 15 | 2021 |
| MLOS: An infrastructure for automated software performance engineering C Curino, N Godwal, B Kroth, S Kuryata, G Lapinski, S Liu, S Oks, ... Proceedings of the Fourth International Workshop on Data Management for End …, 2020 | 15 | 2020 |
| Griffon: Reasoning about job anomalies with unlabeled data in cloud-based platforms L Shao, Y Zhu, S Liu, A Eswaran, K Lieber, J Mahajan, M Thigpen, ... Proceedings of the ACM Symposium on Cloud Computing, 441-452, 2019 | 13 | 2019 |
| Boosting twig joins in probabilistic XML S Liu, G Wang Database and Expert Systems Applications: 22nd International Conference …, 2011 | 7 | 2011 |
| Change-point detection for monitoring clinical decision support systems with a multi-process dynamic linear model S Liu, A Wright, DF Sittig, M Hauskrecht 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 5 | 2017 |
| DynaConF: Dynamic Forecasting of Non-Stationary Time-Series S Liu, A Lehrmann arXiv preprint arXiv:2209.08411, 2022 | 4 | 2022 |
| Adapting attributes by selecting features similar across domains S Liu, A Kovashka 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-8, 2016 | 4 | 2016 |
| Unsupervised Event Outlier Detection in Continuous Time S Nath, YC Lui, S Liu arXiv preprint arXiv:2411.16427, 2024 | | 2024 |
| Methods for Event Time Series Prediction and Anomaly Detection S Liu University of Pittsburgh, 2020 | | 2020 |
| CONTEXTUAL OUTLIER DETECTION IN CONTINUOUS-TIME EVENT SEQUENCES S Liu, M Hauskrecht arXiv preprint arXiv:1912.09522, 2019 | | 2019 |
| Detection of Abnormal Input-Output Associations C Hong, S Liu, M Hauskrecht arXiv preprint arXiv:1708.01035, 2017 | | 2017 |
