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    Author information
    First name: Mohammad
    Last name: Shokoohi-Yekta
    DBLP: 140/9531
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    Journal article
    Mohammad Shokoohi-Yekta, Bing Hu 0001, Hongxia Jin, Jun Wang, Eamonn J. Keogh.
    Generalizing DTW to the multi-dimensional case requires an adaptive approach.
    Data Min. Knowl. Discov. 2017, Volume 31 (0) 2017
    Conference paper
    Liudmila Ulanova, Nurjahan Begum, Mohammad Shokoohi-Yekta, Eamonn J. Keogh.
    Clustering in the Face of Fast Changing Streams.
    Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016 2016 (0) 2016
    Conference paper
    Mohammad Shokoohi-Yekta, Yanping Chen 0005, Bilson J. L. Campana, Bing Hu 0001, Jesin Zakaria, Eamonn J. Keogh.
    Discovery of Meaningful Rules in Time Series.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    Mohammad Shokoohi-Yekta, Jun Wang, Eamonn J. Keogh.
    On the Non-Trivial Generalization of Dynamic Time Warping to the Multi-Dimensional Case.
    Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015 2015 (0) 2015
    Conference paper
    Yuan Hao, Mohammad Shokoohi-Yekta, George Papageorgiou, Eamonn J. Keogh.
    Parameter-Free Audio Motif Discovery in Large Data Archives.
    2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013 2013 (0) 2013
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