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Liudmila Ulanova
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2010 – 2019
- 2018
- [j3]Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh:
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. Data Min. Knowl. Discov. 32(1): 83-123 (2018) - 2017
- [c9]Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn J. Keogh:
Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. ICDM 2017: 117-126 - 2016
- [b1]Liudmila Ulanova:
Developing Efficient Techniques for Clustering and Degradation Analysis in Time Series Data. University of California, Riverside, USA, 2016 - [c8]Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh:
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. ICDM 2016: 1317-1322 - [c7]Liudmila Ulanova, Nurjahan Begum, Mohammad Shokoohi-Yekta, Eamonn J. Keogh:
Clustering in the Face of Fast Changing Streams. SDM 2016: 1-9 - [i1]Nurjahan Begum, Liudmila Ulanova, Hoang Anh Dau, Jun Wang, Eamonn J. Keogh:
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy. CoRR abs/1612.00637 (2016) - 2015
- [j2]Reza Rawassizadeh
, Martin Tomitsch
Energy-Efficient Integration of Continuous Context Sensing and Prediction into Smartwatches. Sensors 15(9): 22616-22645 (2015) - [c6]Nurjahan Begum, Liudmila Ulanova, Jun Wang, Eamonn J. Keogh:
Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy. KDD 2015: 49-58 - [c5]Liudmila Ulanova, Tan Yan, Haifeng Chen, Guofei Jiang, Eamonn J. Keogh, Kai Zhang:
Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems. KDD 2015: 2167-2176 - [c4]Liudmila Ulanova, Nurjahan Begum, Eamonn J. Keogh:
Scalable Clustering of Time Series with U-Shapelets. SDM 2015: 900-908 - 2014
- [j1]Tan Yan, Liudmila Ulanova, Ye Ouyang
Data Mining in Time Series: Current Study and Future Trend. J. Comput. Sci. 10(12): 2358-2359 (2014) - [c3]Liudmila Ulanova, Yuan Hao, Eamonn J. Keogh:
Generating Synthetic Data to Allow Learning from a Single Exemplar per Class. SISAP 2014: 189-194 - 2013
- [c2]Pamela Bhattacharya, Liudmila Ulanova, Iulian Neamtiu, Sai Charan Koduru:
An Empirical Analysis of Bug Reports and Bug Fixing in Open Source Android Apps. CSMR 2013: 133-143 - [c1]Bing Hu, Yanping Chen, Jesin Zakaria, Liudmila Ulanova, Eamonn J. Keogh:
Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record. ICDM 2013: 281-290
Coauthor Index
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