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Zachary Zimmerman
Zachary Zimmerman
Geverifieerd e-mailadres voor google.com
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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
1962016
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
972018
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
912018
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
642015
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
45*2019
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins
Y Zhu, Z Zimmerman, N Shakibay Senobari, CCM Yeh, G Funning, ...
Knowledge and Information Systems 54 (1), 203-236, 2018
332018
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
312019
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
282019
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, N Shakibay Senobari, ...
Data Mining and Knowledge Discovery 34 (4), 949-979, 2020
152020
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
142016
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
102019
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
42020
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
32018
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
AGU Fall Meeting Abstracts 2018, S51B-03, 2018
32018
FA-LAMP: fpga-accelerated learned approximate matrix profile for time series similarity prediction
A Kalantar, Z Zimmerman, P Brisk
2021 IEEE 29th Annual International Symposium on Field-Programmable Custom …, 2021
22021
Matrix Profile Index Approximation for Streaming Time Series
M Shahcheraghi, T Cappon, S Oymak, E Papalexakis, E Keogh, ...
2021 IEEE International Conference on Big Data (Big Data), 2775-2784, 2021
12021
Matrix Profile Index Prediction for Streaming Time Series
M Shahcheraghi, T Cappon, S Oymak, E Papalexakis, E Keogh, ...
Workshop on ML for Systems at NeurIPS 2020, 2020
12020
FPGA-Based Acceleration of Time Series Similarity Prediction: From Cloud to Edge
A Kalantar, Z Zimmerman, P Brisk
ACM Transactions on Reconfigurable Technology and Systems (TRETS), 2022
2022
Sulaimaniyah 2015 Earthquake Swarm Analysis Using Matrix Profile TechniqueI
GI Aleqabi, ME Wysession, N Shakibay Senobari, E Keogh, Z Zimmerman, ...
AGU Fall Meeting Abstracts 2020, S020-0010, 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
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Artikelen 1–20