| Revisiting short-term earthquake triggered volcanism TM Sawi, M Manga Bulletin of Volcanology 80, 1-9, 2018 | 38 | 2018 |
| An Unsupervised Machine‐Learning Approach to Understanding Seismicity at an Alpine Glacier T Sawi, B Holtzman, F Walter, J Paisley Journal of Geophysical Research: Earth Surface 127 (12), e2022JF006909, 2022 | 5 | 2022 |
| Mapping and classification of volcanic deposits using multi-sensor unoccupied aerial systems BB Carr, E Lev, T Sawi, KA Bennett, CS Edwards, SA Soule, SV Vargas, ... Remote Sensing of Environment 264, 112581, 2021 | 2 | 2021 |
| Unsupervised Machine-Learning Applications in Seismology T Sawi Columbia University, 2024 | | 2024 |
| Real-time Production and Analysis of High-Precision, Deep Magnitude Earthquake Catalogs F Waldhauser, K Wang, E Beauce, DP Schaff, T Sawi, BK Holtzman AGU23, 2023 | | 2023 |
| Unsupervised Machine Learning for Efficient Seismic Source Discrimination K Wang, F Waldhauser, T Sawi, E Beauce, BK Holtzman, N Groebner AGU23, 2023 | | 2023 |
| Array-based characterization of glacial seismicity via unsupervised machine-learning T Sawi, BK Holtzman, E Beauce, F Walter, L Seydoux AGU23, 2023 | | 2023 |
| Towards deep crustal heat mining for large scale electricity generation: Potentials and (thermo-mechanical) problems BK Holtzman, T Mittal, HO OGhaffari, U Mok, M Pec, N Groebner, ... AGU23, 2023 | | 2023 |
| Characterizing seismic and acoustic signals at Axial Seamount with unsupervised machine learning K Wang, F Waldhauser, M Tolstoy, WSD Wilcock, T Sawi, DP Schaff, ... AGU23, 2023 | | 2023 |
| Detecting Repeating Earthquakes on the San Andreas Fault with Unsupervised Machine Learning of Spectrograms T Sawi, F Waldhauser, BK Holtzman, N Groebner The Seismic Record 3 (4), 376-384, 2023 | | 2023 |
| Characterization of seismicity from different glacial bed types: machine learning classification of laboratory stick-slip acoustic emissions S Saltiel, N Groebner, T Sawi, C McCarthy Annals of Glaciology, 1-8, 2023 | | 2023 |
| A Semi-Supervised Machine-Learning Approach to Detecting Repeating Earthquakes on the San Andreas Fault T Sawi, F Waldhauser, BK Holtzman, E Beauce, K Wang, N Groebner AGU Fall Meeting Abstracts 2022, S43A-04, 2022 | | 2022 |
| Mining a large earthquake catalog at Axial Seamount with unsupervised spectral feature extraction method K Wang, F Waldhauser, T Sawi, E Beauce, DP Schaff, N Groebner, ... AGU Fall Meeting Abstracts 2022, V16A-04, 2022 | | 2022 |
| Unsupervised spectral feature extraction applied to acoustic emissions during brittle creep of basalt under dry and wet conditions B Holtzman, N Groebner, T Sawi, T Xing, M Pec, H Ghaffari, U Mok, ... AGU Fall Meeting Abstracts 2021, H12E-04, 2021 | | 2021 |
| Characterization of seismicity over a range of subglacial slip conditions: laboratory investigation of ice stick-slip acoustic emissions S Saltiel, C McCarthy, B Holtzman, T Sawi, H Savage AGU Fall Meeting Abstracts 2021, S55B-0132, 2021 | | 2021 |
| Browser-based Visualization of Seismic Records to Build Seismogram Literacy J Birnbaum, C Carchedi, M Lee, T Sawi, J Russell AGU Fall Meeting Abstracts 2021, ED15A-0521, 2021 | | 2021 |
| Revisiting Earthquake-Triggered Volcanic Eruptions T Sawi, M Manga EGU General Assembly Conference Abstracts, 5295, 2018 | | 2018 |
| Imaging fault structure using cross-correlation and relative earthquake location from the IRIS Wavefields community dataset in Oklahoma T Sawi, HR DeShon, P Ogwari, L Quinones AGU Fall Meeting Abstracts 2017, S23C-0833, 2017 | | 2017 |
| Volcanic precursor revealed by machine learning offers new eruption forecasting capability K Wang, F Waldhauser, M Tolstoy, DP Schaff, T Sawi, WSD Wilcock, ... | | |
Michael MangaUniversity of California, BerkeleyE-mail megerősítve itt: seismo.berkeley.edu
