| Debot: Twitter bot detection via warped correlation. N Chavoshi, H Hamooni, A Mueen Icdm 18, 28-65, 2016 | 353 | 2016 |
| Enumeration of time series motifs of all lengths A Mueen, N Chavoshi Knowledge and Information Systems (KAIS), 2014 | 154 | 2014 |
| Identifying correlated bots in twitter N Chavoshi, H Hamooni, A Mueen Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA …, 2016 | 125 | 2016 |
| BotWalk: Efficient adaptive exploration of Twitter bot networks A Minnich, N Chavoshi, D Koutra, A Mueen Proceedings of the 2017 IEEE/ACM international conference on advances in …, 2017 | 107 | 2017 |
| Temporal patterns in bot activities N Chavoshi, H Hamooni, A Mueen Proceedings of the 26th international conference on world wide web companion …, 2017 | 75 | 2017 |
| Oracle automl: a fast and predictive automl pipeline A Yakovlev, HF Moghadam, A Moharrer, J Cai, N Chavoshi, ... Proceedings of the VLDB Endowment 13 (12), 3166-3180, 2020 | 52 | 2020 |
| Trueview: Harnessing the power of multiple review sites AJ Minnich, N Chavoshi, A Mueen, S Luan, M Faloutsos Proceedings of the 24th International Conference on World Wide Web, 787-797, 2015 | 50 | 2015 |
| Speeding up dynamic time warping distance for sparse time series data A Mueen, N Chavoshi, N Abu-El-Rub, H Hamooni, A Minnich, ... Knowledge and Information Systems 54, 237-263, 2018 | 42 | 2018 |
| AWarp: Fast warping distance for sparse time series A Mueen, N Chavoshi, N Abu-El-Rub, H Hamooni, A Minnich 2016 IEEE 16th International Conference on Data Mining (ICDM), 350-359, 2016 | 36 | 2016 |
| System and methods for detecting bots real-time A Mueen, N Chavoshi US Patent 10,389,745, 2019 | 34 | 2019 |
| On-demand bot detection and archival system N Chavoshi, H Hamooni, A Mueen Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 29 | 2017 |
| Model bots, not humans on social media N Chavoshi, A Mueen 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 17 | 2018 |
| Fast, predictive, and iteration-free automated machine learning pipeline V Varadarajan, SR Agrawal, HF Moghadam, A Yakovlev, A Moharrer, ... US Patent App. 17/086,204, 2021 | 10 | 2021 |
| Automated machine learning pipeline for timeseries datasets utilizing point-based algorithms N Chavoshi, A Yakovlev, HF Moghadam, V Varadarajan, S Agrawal, ... US Patent 11,989,657, 2024 | 9 | 2024 |
| On URL changes and handovers in social media H Hamooni, N Chavoshi, A Mueen Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA …, 2016 | 6 | 2016 |
| Taming social bots: Detection, exploration and measurement A Mueen, N Chavoshi, A Minnich Proceedings of the 28th ACM International Conference on Information and …, 2019 | 5 | 2019 |
| Mining Temporal Activity Patterns On Social Media N Chavoshi The University of New Mexico, 2018 | | 2018 |
| AWarp: Warping Distance for Asynchronous Time Series A Mueen, N Chavoshi, N Abu-El-Rub, H Hamooni, A Minnich | | |
| CSSC 2016 N Chavoshi | | |
| Fast Warping Distance for Sparse Time Series A Mueen, N Chavoshi, N Abu-El-Rub, H Hamooni, A Minnich | | |
Abdullah MueenProfessor, Department of Computer Science, University of New MexicoVerified email at cs.unm.edu
