R&D projects involving the following technologies: Multi-agent technology, .NET, C#, Windows Forms, LINQ-to-SQL, MS SQL Server
Liudmila Ulanova, Nurjahan Begum, Mohammad Shokoohi-Yekta, Eamonn Keogh.
Clustering in the Face of Fast Changing Streams.
[slides][poster][project page] SIAM International Conference on Data Mining (SDM 2016)
Liudmila Ulanova, Tan Yan, Haifeng Chen, Guofei Jiang, Eamonn Keogh, Kai Zhang.
Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems.
[pdf][talk][slides][poster] ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015)
Nurjahan Begum, Liudmila Ulanova, Jun Wang, Eamonn Keogh.
Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy.
[pdf][talk][slides][poster][project page] ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015)
Liudmila Ulanova, Nurjahan Begum, Eamonn Keogh.
Scalable Clustering of Time Series with U-Shapelets.
[pdf][slides][poster][project page] SIAM International Conference on Data Mining (SDM 2015)
Reza Rawassizadeh, Martin Tomitsch, Manouchehr Nourizadeh, Elaheh Momeni, Aaron Peery, Liudmila Ulanova, Michael Pazzani.
Energy-Efficient Integration of Continuous Context Sensing and Prediction into Smartwatches.
[link] Sensors 2015
Liudmila Ulanova, Yuan Hao, Eamonn Keogh.
Generating Synthetic Data to Allow Learning from a Single Exemplar per Class.
[pdf][slides][project page] International Conference on Similarity Search and Applications (SISAP 2014)
Bing Hu, Yanping Chen, Jesin Zakaria, Liudmila Ulanova, Eamonn Keogh.
Classification of Multi-Dimensional Streaming Time Series by Weighting each Classifier's Track Record.
[pdf][project page] IEEE International Conference on Data Mining (ICDM 2013)
Pamela Bhattacharya, Liudmila Ulanova, Iulian Neamtiu, Sai Charan Koduru.
An Empirical Analysis of the Bug-fixing Process in Open Source Android Apps.
[pdf] Conference on Software Maintenance and Reengineering (CSMR 2013)