Liudmila Ulanova
Liudmila Ulanova
PhD in Computer Science, University of California, Riverside
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
Developing Efficient Techniques for Clustering and Degradation Analysis in Time Series Data
L Ulanova
UC Riverside, 2016
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