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ORCIDMohammad Shokoohi-Yekta
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2010 – 2019
- 2017
[j1]Mohammad Shokoohi-Yekta, Bing Hu, Hongxia Jin, Jun Wang, Eamonn J. Keogh:
Generalizing DTW to the multi-dimensional case requires an adaptive approach. Data Min. Knowl. Discov. 31(1): 1-31 (2017)- [c5]Seyed Hamid Mirebrahim, Mohammad Shokoohi-Yekta, Unmesh Kurup, Torsten Welfonder, Mohak Shah:
A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior. BuildSys@SenSys 2017: 5:1-5:9 - 2016
- [c4]Liudmila Ulanova, Nurjahan Begum, Mohammad Shokoohi-Yekta, Eamonn J. Keogh:
Clustering in the Face of Fast Changing Streams. SDM 2016: 1-9 - 2015
- [b1]Mohammad Shokoohi-Yekta:
Meaningful Rule Discovery and Adaptive Classification of Multi-Dimensional Time Series Data. University of California, Riverside, USA, 2015 - [c3]Mohammad Shokoohi-Yekta, Yanping Chen, Bilson J. L. Campana, Bing Hu, Jesin Zakaria, Eamonn J. Keogh:
Discovery of Meaningful Rules in Time Series. KDD 2015: 1085-1094 - [c2]Mohammad Shokoohi-Yekta, Jun Wang, Eamonn J. Keogh:
On the Non-Trivial Generalization of Dynamic Time Warping to the Multi-Dimensional Case. SDM 2015: 289-297 - 2013
- [c1]Yuan Hao, Mohammad Shokoohi-Yekta, George Papageorgiou, Eamonn J. Keogh:
Parameter-Free Audio Motif Discovery in Large Data Archives. ICDM 2013: 261-270
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