Nader Shakibay Senobari
Nader Shakibay Senobari
Assistant Project Scientist, UC Riverside, Computer Science Department
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, N Shakibay Senobari, CCM Yeh, G Funning, ...
2016 IEEE 16th international conference on data mining (ICDM), 739-748, 2016
962016
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
152018
Super‐Efficient Cross‐Correlation (SEC‐C): A Fast Matched Filtering Code Suitable for Desktop Computers
N Shakibay Senobari, GJ Funning, E Keogh, Y Zhu, CCM Yeh, ...
Seismological Research Letters 90 (1), 322-334, 2019
92019
Scaling Time Series Motif Discovery with GPUs: Breaking the Quintillion Pairwise Comparisons a Day Barrier
Z Zimmerman, K Kamgar, Y Zhu, N Shakibay Senobari, B Crites, ...
Preprint],[Online]. Available at: https://www. cs. ucr. edu/% 7Eeamonn …, 2018
32018
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
Widespread fault creep in the northern San Francisco bay area revealed by multistation cluster detection of repeating earthquakes
N Shakibay Senobari, GJ Funning
Geophysical Research Letters 46 (12), 6425-6434, 2019
22019
Distribution of creep in the northern San Francisco Bay Area illuminated by repeating earthquakes and InSAR
G Funning, N Shakibay Senobari, JL Swiatlowski
AGUFM 2017, T21A-0542, 2017
22017
Matrix Profile XIV: Scaling Time Series Motif Discovery with GPUs to Break a Quintillion Pairwise Comparisons a Day and Beyond
Z Zimmerman, K Kamgar, N Shakibay Senobari, B Crites, G Funning, ...
Proceedings of the ACM Symposium on Cloud Computing, 74-86, 2019
12019
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
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, ...
2019 IEEE International Conference on Data Mining (ICDM), 936-945, 2019
2019
Combining Seismology and Geodesy to Better Constrain Earthquake Source Parameters and Shallow Fault Behavior
NS Senobari
University of California, Riverside, 2019
2019
Combining Seismology and Geodesy to Better Constrain Earthquake Source Parameters and Shallow Fault Behavior
N Shakibay Senobari
UC Riverside, 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
Toward regional corrections of long period CMT inversions using InSAR
NS Senobari, G Funning, AMG Ferreira
2017 AGU Fall Meeting, 2017
2017
Toward regional corrections of long period CMT inversions using InSAR
N Shakibay Senobari, G Funning, AM Ferreira
AGUFM 2017, S44B-07, 2017
2017
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