| Time series anomaly discovery with grammar-based compression P Senin, J Lin, X Wang, T Oates, S Gandhi, AP Boedihardjo, C Chen, ... International Conference on Extending Database Technology, 2015 | 101 | 2015 |
| Grammarviz 2.0: a tool for grammar-based pattern discovery in time series P Senin, J Lin, X Wang, T Oates, S Gandhi, AP Boedihardjo, C Chen, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 101 | 2014 |
| Grammarviz 3.0: Interactive discovery of variable-length time series patterns P Senin, J Lin, X Wang, T Oates, S Gandhi, AP Boedihardjo, C Chen, ... ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (1), 1-28, 2018 | 56 | 2018 |
| RPM: Representative Pattern Mining for Efficient Time Series Classification. X Wang, J Lin, P Senin, T Oates, S Gandhi, AP Boedihardjo, C Chen, ... EDBT, 185-196, 2016 | 50 | 2016 |
| Robust semantic text similarity using LSA, machine learning, and linguistic resources A Kashyap, L Han, R Yus, J Sleeman, T Satyapanich, S Gandhi, T Finin Language Resources and Evaluation 50, 125-161, 2016 | 48 | 2016 |
| Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity systems AL Kashyap, L Han, R Yus, J Sleeman, TW Satyapanich, SR Gandhi, ... | 38 | 2014 |
| An EEG artifact identification embedded system using ICA and multi-instance learning A Jafari, S Gandhi, SH Konuru, WD Hairston, T Oates, T Mohsenin 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 34 | 2017 |
| Motif discovery in spatial trajectories using grammar inference T Oates, AP Boedihardjo, J Lin, C Chen, S Frankenstein, S Gandhi Proceedings of the 22nd ACM international conference on Information …, 2013 | 30 | 2013 |
| Learning with holographic reduced representations A Ganesan, H Gao, S Gandhi, E Raff, T Oates, J Holt, M McLean Advances in Neural Information Processing Systems 34, 25606-25620, 2021 | 12 | 2021 |
| Denoising time series data using asymmetric generative adversarial networks S Gandhi, T Oates, T Mohsenin, D Hairston Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 12 | 2018 |
| Visual entity linking N Tilak, S Gandhi, T Oates 2017 International Joint Conference on Neural Networks (IJCNN), 665-672, 2017 | 8 | 2017 |
| A generative model for time series discretization based on multiple normal distributions S Gandhi, T Oates, A Boedihardjo, C Chen, J Lin, P Senin, S Frankenstein, ... Proceedings of the 8th Workshop on Ph. D. Workshop in Information and …, 2015 | 5 | 2015 |
| Efficient Retrieval Optimized Multi-task Learning H Fun, S Gandhi, S Ravi arXiv preprint arXiv:2104.10129, 2021 | 4 | 2021 |
| Learning behaviors from a single video demonstration using human feedback S Gandhi, T Oates, T Mohsenin, NR Waytowich Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 4 | 2019 |
| Learning from observations using a single video demonstration and human feedback S Gandhi, T Oates, T Mohsenin, N Waytowich arXiv preprint arXiv:1909.13392, 2019 | 2 | 2019 |
| A generative model for time series based on multiple normal distributions S Gandhi University of Maryland Baltimore County, 2015 | 2* | 2015 |
| WDRASS: A Web-scale Dataset for Document Retrieval and Answer Sentence Selection Z Zhang, T Vu, S Gandhi, A Chadha, A Moschitti Proceedings of the 31st ACM International Conference on Information …, 2022 | 1 | 2022 |
| Artifact Detection and Removal from Electroencephalography (EEG) Data S Gandhi University of Maryland, Baltimore County, 2020 | 1 | 2020 |
| Implementation of Gossip Algorithms: CMSC 621 Fall 2012 University of Maryland, Baltimore County. S Allani, D Gandhi, S Gandhi, P Pappachan | | |
| On Demand Loading of Code in MMUless Embedded System S Gandhi, C Pachange, M Vaidya, S Khorate | | |
Tim OatesProfessor of Computer Science, University of Maryland Baltimore CountyVerified email at umbc.edu
