Liudmila Ulanova
Liudmila Ulanova
PhD in Computer Science, University of California, Riverside
Verified email at - Homepage
TitleCited byYear
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
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
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
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
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
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
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 (1), 83-123, 2018
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
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
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
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
Generating Synthetic Data to Allow Learning from a Single Exemplar per Class
L Ulanova, Y Hao, E Keogh
International Conference on Similarity Search and Applications, 189-194, 2014
Data Mining in Time Series: Current Study and Future Trend
T Yan, L Ulanova, Y Ouyang, F Xu
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
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
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
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
Developing Efficient Techniques for Clustering and Degradation Analysis in Time Series Data
L Ulanova
UC Riverside, 2016
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Articles 1–18