H. V. Herle

Finding the most unusual time series subsequence: algorithms and applications

Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, 2006, Knowledge and Information Systems.

Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series

Eamonn J. Keogh, Helga Van Herle, Chin-Chia Michael Yeh, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Knowledge and Information Systems REGULAR PAPER

Eamonn J. Keogh, Russ Abbott, Helga Van Herle, 2007 .

Embedding and Retrieving Private Metadata in Electrocardiograms

Philip S. Yu, Suleyman Serdar Kozat, Claudio Lucchese, 2009, Journal of Medical Systems.

Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications

Eamonn J. Keogh, Jessica Lin, Helga Van Herle, 2006, IEEE Transactions on Information Technology in Biomedicine.

A Practical Tool for Visualizing and Data Mining Medical Time Series

Li Wei, Eamonn J. Keogh, Stefano Lonardi, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Approximations to magic: finding unusual medical time series

Eamonn J. Keogh, Jessica Lin, Helga Van Herle, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

An unusual case of Erdheim–Chester disease

Sara C. Acree, G. A. Cortes, H. V. Herle, 2016 .

Finding the most unusual time series subsequence: algorithms and applications

Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, 2006, Knowledge and Information Systems.

Atomic wedgie: efficient query filtering for streaming time series

Eamonn J. Keogh, Helga Van Herle, Li Wei, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).