| Matrix profile I: all pairs similarity joins for time series: a unifying view that includes motifs, discords and shapelets CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, DF Silva, ... 2016 IEEE 16th international conference on data mining (ICDM), 1317-1322, 2016 | 890 | 2016 |
| Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, Z Zimmerman, ... Data Mining and Knowledge Discovery 32, 83-123, 2018 | 177 | 2018 |
| Accelerating dynamic time warping clustering with a novel admissible pruning strategy N Begum, L Ulanova, J Wang, E Keogh Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 167 | 2015 |
| Matrix profile VIII: domain agnostic online semantic segmentation at superhuman performance levels S Gharghabi, Y Ding, CCM Yeh, K Kamgar, L Ulanova, E Keogh 2017 IEEE international conference on data mining (ICDM), 117-126, 2017 | 152 | 2017 |
| An empirical analysis of bug reports and bug fixing in open source android apps P Bhattacharya, L Ulanova, I Neamtiu, SC Koduru 2013 17th European Conference on Software Maintenance and Reengineering, 133-143, 2013 | 144 | 2013 |
| Scalable clustering of time series with u-shapelets L Ulanova, N Begum, E Keogh Proceedings of the 2015 SIAM international conference on data mining, 900-908, 2015 | 80 | 2015 |
| The anatomy of a large-scale experimentation platform S Gupta, L Ulanova, S Bhardwaj, P Dmitriev, P Raff, A Fabijan 2018 IEEE International Conference on Software Architecture (ICSA), 1-109, 2018 | 73 | 2018 |
| Energy-efficient integration of continuous context sensing and prediction into smartwatches R Rawassizadeh, M Tomitsch, M Nourizadeh, E Momeni, A Peery, ... Sensors 15 (9), 22616-22645, 2015 | 68 | 2015 |
| Classification of multi-dimensional streaming time series by weighting each classifier's track record B Hu, Y Chen, J Zakaria, L Ulanova, E Keogh 2013 IEEE 13th international conference on data mining, 281-290, 2013 | 49 | 2013 |
| 2016 IEEE 16th international conference on data mining (ICDM) CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, DF Silva, ... Institute of Electrical and Electronics Engineers (IEEE), 2016 | 23 | 2016 |
| Efficient long-term degradation profiling in time series for complex physical systems L Ulanova, T Yan, H Chen, G Jiang, E Keogh, K Zhang Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 20 | 2015 |
| Clustering in the face of fast changing streams L Ulanova, N Begum, M Shokoohi-Yekta, E Keogh Proceedings of the 2016 SIAM international conference on data mining, 1-9, 2016 | 15 | 2016 |
| A general framework for density based time series clustering exploiting a novel admissible pruning strategy N Begum, L Ulanova, HA Dau, J Wang, E Keogh arXiv preprint arXiv:1612.00637, 2016 | 9 | 2016 |
| Построение мультиагентной системы динамического планирования персональных задач для мобильных пользователей АВ Иващенко, ДМ Мартышкин, ПО Скобелев, ЛВ Уланова, АВ Царев Вестник Самарского государственного технического университета. Серия …, 2009 | 3 | 2009 |
| Data mining in time series: Current study and future trend. T Yan, L Ulanova, Y Ouyang, F Xu J. Comput. Sci. 10 (12), 2358-2359, 2014 | 2 | 2014 |
| Generating Synthetic Data to Allow Learning from a Single Exemplar Per Class L Ulanova, Y Hao, E Keogh Similarity Search and Applications: 7th International Conference, SISAP 2014 …, 2014 | 2 | 2014 |
| Мультиагентная система динамического планирования персональных задач для пользователей мобильных устройств связи МВ Андреев, АВ Иващенко, ЕВ Симонова, ПО Скобелев, ЛВ Уланова, ... Инфокоммуникационные технологии 8 (3), 61-67, 2010 | 2 | 2010 |
| Cross-correlation Analysis for Cooperative Interaction Management in Enterprise Integrated Information Space A Ivashenko, L Ulanova, I Babanin Interactive Systems and Technologies: the Problem of Human-Computer …, 2011 | 1 | 2011 |
| Developing Efficient Techniques for Clustering and Degradation Analysis in Time Series Data L Ulanova University of California, Riverside, 2016 | | 2016 |
| Energy-efficient integration of continuous context sensing and prediction into smartwatches E Momeni, A Peery, L Ulanova, M Pazzani Energy 2015, 09-08, 2015 | | 2015 |
Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
