Approximations to Magic: Finding Unusual Medical Time Series. - Jessica Lin 001; Eamonn J. Keogh; Ada Wai-Chee Fu; Helga Van Herle (CBMS, 2005)

A Practical Tool for Visualizing and Data Mining Medical Time Series. - Li Wei 001; Nitin Kumar 002; Venkata Nishanth Lolla; Eamonn J. Keogh; Stefano Lonardi; Chotirat (Ann) Ratanamahatana; Helga Van Herle (CBMS, 2005)

Atomic Wedgie: Efficient Query Filtering for Streaming Times Series. - Li Wei 001; Eamonn J. Keogh; Helga Van Herle; Agenor Mafra-Neto (ICDM, 2005)

Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications. - Eamonn J. Keogh; Jessica Lin 001; Ada Wai-Chee Fu; Helga Van Herle (IEEE Trans. Inf. Technol. Biomed., 2006)

Finding the most unusual time series subsequence: algorithms and applications. - Eamonn J. Keogh; Jessica Lin 001; Sang-Hee Lee 003; Helga Van Herle (Knowl. Inf. Syst., 2007)

Efficient query filtering for streaming time series with applications to semisupervised learning of time series classifiers. - Li Wei 001; Eamonn J. Keogh; Helga Van Herle; Agenor Mafra-Neto; Russell J. Abbott (Knowl. Inf. Syst., 2007)

Embedding and Retrieving Private Metadata in Electrocardiograms. - Suleyman Serdar Kozat; Michail Vlachos; Claudio Lucchese; Helga Van Herle; Philip S. Yu (J. Medical Syst., 2009)

Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series. - Chin-Chia Michael Yeh; Helga Van Herle; Eamonn J. Keogh (ICDM, 2016)