Liudmila Ulanova

According to our database, Liudmila Ulanova authored at least 14 papers between 2013 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2018

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile.

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

Data Min. Knowl. Discov., 2018

2017

Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels.

Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn J. Keogh

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Developing Efficient Techniques for Clustering and Degradation Analysis in Time Series Data.

Liudmila Ulanova

PhD thesis, 2016

A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy.

Nurjahan Begum, Liudmila Ulanova, Hoang Anh Dau, Jun Wang, Eamonn J. Keogh

CoRR, 2016

Clustering in the Face of Fast Changing Streams.

Liudmila Ulanova, Nurjahan Begum, Mohammad Shokoohi-Yekta, Eamonn J. Keogh

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets.

Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Energy-Efficient Integration of Continuous Context Sensing and Prediction into Smartwatches.

Reza Rawassizadeh, Martin Tomitsch, Manouchehr Nourizadeh, Elaheh Momeni, Aaron Peery, Liudmila Ulanova, Michael J. Pazzani

Sensors, 2015

Scalable Clustering of Time Series with U-Shapelets.

Liudmila Ulanova, Nurjahan Begum, Eamonn J. Keogh

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems.

Liudmila Ulanova, Tan Yan, Haifeng Chen, Guofei Jiang, Eamonn J. Keogh, Kai Zhang

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy.

Nurjahan Begum, Liudmila Ulanova, Jun Wang, Eamonn J. Keogh

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Data Mining in Time Series: Current Study and Future Trend.

Tan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan Xu

J. Comput. Sci., 2014

Generating Synthetic Data to Allow Learning from a Single Exemplar per Class.

Liudmila Ulanova, Yuan Hao, Eamonn J. Keogh

Proceedings of the Similarity Search and Applications - 7th International Conference, 2014

2013

Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record.

Bing Hu, Yanping Chen, Jesin Zakaria, Liudmila Ulanova, Eamonn J. Keogh

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

An Empirical Analysis of Bug Reports and Bug Fixing in Open Source Android Apps.

Pamela Bhattacharya, Liudmila Ulanova, Iulian Neamtiu, Sai Charan Koduru

Proceedings of the 17th European Conference on Software Maintenance and Reengineering, 2013