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 | 274 | 2016 |
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 | 71 | 2019 |
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 Senobari, ... 2019 IEEE International Conference on Big Knowledge (ICBK), 175-182, 2019 | 54 | 2019 |
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 | 46 | 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 | 41 | 2018 |
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 | 33 | 2020 |
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 | 20 | 2019 |
Matrix profile xviii: Time series mining in the face of fast moving streams using a learned approximate matrix profile Z Zimmerman, N Shakibay Senobari, G Funning, E Papalexakis, S Oymak, ... 2019 IEEE International Conference on Data Mining (ICDM), 936-945, 2019 | 19 | 2019 |
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 2018, 2018 | 8 | 2018 |
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 | 8 | 2018 |
A Python Code for Detecting True Repeating Earthquakes from Self‐Similar Waveforms (FINDRES) M Sugan, S Campanella, A Vuan, N Shakibay Senobari Seismological Society of America 93 (5), 2847-2857, 2022 | 2 | 2022 |
Introducing the contrast profile: a novel time series primitive that allows real world classification R Mercer, S Alaee, A Abdoli, NS Senobari, S Singh, A Murillo, E Keogh Data Mining and Knowledge Discovery 36 (2), 877-915, 2022 | 2 | 2022 |
Distribution of creep in the northern San Francisco Bay Area illuminated by repeating earthquakes and InSAR G Funning, N Shakibay Senobari, JL Swiatlowski AGU Fall Meeting Abstracts 2017, T21A-0542, 2017 | 2 | 2017 |
The matrix profile: a fast and sensitive template matching method for seismic event detection that does not require templates NS Senobari, G Funning, Z Zimmermann, Y Zhu, PM Shearer, P Brisk, ... Authorea Preprints, 2022 | | 2022 |
The matrix profile: a fast and sensitive template matching method for seismic event detection that does not require templates N Shakibay Senobari, G Funning, Z Zimmermann, Y Zhu, PM Shearer, ... ESS Open Archive eprints 105, essoar. 10512525, 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 N Shakibay Senobari, G Funning, Z Zimmerman, PM Shearer, P Brisk, ... AGU Fall Meeting 2019, 2019 | | 2019 |
Combining Seismology and Geodesy to Better Constrain Earthquake Source Parameters and Shallow Fault Behavior N Shakibay Senobari University of California, Riverside, 2019 | | 2019 |
The Similarity Matrix Profile, an efficient method for detecting seismic events in very long time series G Funning, N Shakibay 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 AGU Fall Meeting Abstracts 2018, S33B-05, 2018 | | 2018 |