Zachary Zimmerman
Zachary Zimmerman
Verified email at ucr.edu
Title
Cited by
Cited by
Year
Matrix profile ii: Exploiting a novel algorithm and gpus to break the one hundred million barrier for time series motifs and joins
Y Zhu, Z Zimmerman, NS Senobari, CCM Yeh, G Funning, A Mueen, ...
2016 IEEE 16th international conference on data mining (ICDM), 739-748, 2016
1002016
An open-source compiler and PCB synthesis tool for digital microfluidic biochips
D Grissom, C Curtis, S Windh, C Phung, N Kumar, Z Zimmerman, ...
INTEGRATION, the VLSI journal 51, 169-193, 2015
502015
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile
CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, Z Zimmerman, ...
Data Mining and Knowledge Discovery 32 (1), 83-123, 2018
422018
Matrix profile XI: SCRIMP++: time series motif discovery at interactive speeds
Y Zhu, CCM Yeh, Z Zimmerman, K Kamgar, E Keogh
2018 IEEE International Conference on Data Mining (ICDM), 837-846, 2018
242018
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins
Y Zhu, Z Zimmerman, NS Senobari, CCM Yeh, G Funning, A Mueen, ...
Knowledge and Information Systems 54 (1), 203-236, 2018
152018
Super‐Efficient Cross‐Correlation (SEC‐C): A fast matched filtering code suitable for desktop computers
NS Senobari, GJ Funning, E Keogh, Y Zhu, CCM Yeh, Z Zimmerman, ...
Seismological Research Letters 90 (1), 322-334, 2019
102019
Matrix profile XIV: scaling time series motif discovery with GPUs to break a quintillion pairwise comparisons a day and beyond
Z Zimmerman, K Kamgar, NS Senobari, B Crites, G Funning, P Brisk, ...
Proceedings of the ACM Symposium on Cloud Computing, 74-86, 2019
6*2019
PCB escape routing and layer minimization for digital microfluidic biochips
J McDaniel, Z Zimmerman, D Grissom, P Brisk
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2016
62016
Matrix Profile XX: Finding and Visualizing Time Series Motifs of All Lengths using the Matrix Profile
F Madrid, S Imani, R Mercer, Z Zimmerman, N Shakibay, E Keogh
2019 IEEE International Conference on Big Knowledge (ICBK), 175-182, 2019
22019
Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries
Y Zhu, CCM Yeh, Z Zimmerman, E Keogh
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1846-1849, 2020
2020
The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code
Y Zhu, S Gharghabi, DF Silva, HA Dau, CCM Yeh, NS Senobari, ...
DATA MINING AND KNOWLEDGE DISCOVERY, 2020
2020
Using the similarity Matrix Profile to detect and study foreshocks and aftershocks of the 2019 Ridgecrest sequence
NS Senobari, G Funning, Z Zimmerman, PM Shearer, P Brisk, E Keogh
AGU Fall Meeting 2019, 2019
2019
Using the similarity Matrix Profile to detect and study foreshocks and aftershocks of the 2019 Ridgecrest sequence
N Shakibay Senobari, G Funning, Z Zimmerman, PM Shearer, P Brisk, ...
AGUFM 2019, S31G-0513, 2019
2019
Breaking Computational Barriers to Perform Time Series Pattern Mining at Scale and at the Edge
ZP Zimmerman
UC Riverside, 2019
2019
Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile
Z Zimmerman, NS Senobari, G Funning, E Papalexakis, S Oymak, P Brisk, ...
IEEE International Conference on Data Mining, 2019
2019
Using the similarity Matrix Profile to investigate foreshock behavior of the 2004 Parkfield earthquake
NS Senobari, G Funning, Z Zimmerman, Y Zhu, E Keogh
AGU Fall Meeting 2018, 2018
2018
The Similarity Matrix Profile, an efficient method for detecting seismic events in very long time series
G Funning, NS Senobari, Z Zimmerman, Y Zhu, E Keogh
AGU Fall Meeting 2018, 2018
2018
The Similarity Matrix Profile, an efficient method for detecting seismic events in very long time series
N Shakibay Senobari, G Funning, Z Zimmerman, Y Zhu, E Keogh
AGUFM 2018, S33B-05, 2018
2018
Using the similarity Matrix Profile to investigate foreshock behavior of the 2004 Parkfield earthquake
N Shakibay Senobari, G Funning, Z Zimmerman, Y Zhu, E Keogh
AGUFM 2018, S51B-03, 2018
2018
Analog, Mixed-Signal, and RF Circuits Layout Symmetries: Quantification and Application to Cancel Nonlinear Process Gradients................... CC McAndrew 1 An Automated …
M Zhao, Y Xue, J Hu, C Yang, T Liu, Z Jia, CJ Xue, S Windh, C Phung, ...
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