Publications

Selected Publications

  • Karianne J. Bergen, Paul A. Johnson, Maarten V. de Hoop, & Gregory C. Beroza (2019). Machine learning for data-driven discovery in solid Earth geoscience. Science, Vol. 363. DOI: 10.1126/science.aau0323. [ abstract ] [ reprint ] [ full text ]


  • Karianne J. Bergen, & Gregory C. Beroza (2018). Detecting Earthquakes over a Seismic Network using Single-Station Similarity Measures. Geophysical Journal International, Vol. 213, No. 3, pp. 1984-1998. DOI: 10.1093\gji\ggy100. [ link ] [ GJI 2018 Student Author Award ]





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Other Publications

  • Clara E. Yoon, Karianne J. Bergen, Kexin Rong, Hashem Elezabi, William L. Ellsworth, Gregory C. Beroza, Peter Bailis & Philip Levis (2019). Unsupervised Large-Scale Search for Similar Earthquake Signals. Bulletin of the Seismological Society of America. DOI: 10.1785/0120190006. [ link ]
  • Karianne J. Bergen*, Ting Chen*, & Zefeng Li* (2019). Preface to the SRL Special Focus Section on Machine Learning in Seismology. Seismological Research Letters. 90 (2A): 477-480. DOI: 10.1785/0020190018. [ link ]
  • Karianne J. Bergen & Gregory C. Beroza (2018). Earthquake Fingerprints: Extracting Waveform Features for Similarity-Based Earthquake Detection. Pure and Applied Geophysics 176(3): 1037-1059. DOI: 10.1007/s00024-018-1995-6. [ link ]
  • Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi, Peter Bailis, Philip Levis, & Gregory C. Beroza. Locality-Sensitive Hashing for Earthquake Detection: A Case Study Scaling Data-Driven Science. Proceedings of the Very Large Data Bases (VLBD) Endowment, Vol. 11, No. 11, pp. 1674-1687. [ arXiv ] [ link ] [ FAST code ] [ blog ]
  • Karianne Bergen, Clara Yoon, & Gregory C. Beroza (2016). Scalable Similarity Search in Seismology: A New Approach to Large-Scale Earthquake Detection. Proceedings of the 9th International Conference on Similarity Search and Applications (SISAP), Lecture Notes in Computer Science. Tokyo, Japan, 24-26 October 2016. [ link ] [ preprint ]
  • Fatena El-Masri*, Karianne Bergen*, Obeng Addai*, Piaomu Liu*, Shrabanti Chowdhury*, Xin Huang*, Mark Wolff, & Kennith Lopiano (2014). Analysis of Self-Reported Health Outcomes Data from Web-Based Media Sources, in 2014 Mathematical and Statistical Modeling Workshop for Graduate Students, eds. Pierre Gremaud, Ilse C.F. Ipsen, and Ralph Smith, CRSC Technical Report TR14-11. [ link ] [ workshop website ]
  • Sahinaz Safari Sanjani*, Jean-Baptiste Boin*, & Karianne Bergen* (2013). Blood Vessel Segmentation in Retinal Fundus Images. Technical Report, Stanford University. [ link ]
  • Karianne Bergen (2013). Modeling the effect of network-based targeting for methadone maintenance treatment on HIV transmission. Technical Report, Stanford University. [ link ]
  • Karianne Bergen* & Leilani Gilpin* (2012). Negative News No More: Classifying News Article Headlines. Technical Report, Stanford University. [ link ]
  • Jerome J. Braun, Karianne Bergen, & Timothy J. Dasey (2011). Inner rehearsal modeling for cognitive robotics. Proc. SPIE 8064, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, 80640A. [ link ]
  • Jerome J. Braun, Austin Hess, Yan Glina, Edward C. Wack, Karianne Bergen, Timothy J. Dasey, Robert M. Mays, & John Strawbridge (2010). Information fusion of standoff and other information for biodefense decision support. Proc. SPIE 7665, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XI, 76650C. [ link ]
  • Jerome J. Braun, Austin Hess, Yan Glina, Edward C. Wack, Karianne Bergen, Timothy J. Dasey, Robert M. Mays, & John Strawbridge (2010). Approaches to information fusion with spatiotemporal aspects for standoff and other biodefense information sources. Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, 771003. [ link ]

*equal contribution

Ph.D. Thesis

  • Karianne Bergen (2018). Big data for small earthquakes: Detecting earthquakes over a seismic network with waveform similarity search. Stanford University. [ link ]

Conference Abstracts

  • Karianne Bergen. [Invited] Data mining for earthquake detection: Lessons for data-driven geoscience. Machine Learning in Solid Earth Geoscience Conference, Santa Fe, NM, 18-22 March 2019. [ conference website ] [ slides: unsupervised learning tutorial ]
  • Karianne Bergen. Short Courses and workshops as a path into data science. American Geophysical Union (AGU) Fall Meeting, Washington, DC, 10-14 December 2018. [ link ]
  • Karianne Bergen, Clara E. Yoon, Kexin Rong, Peter Bailis, Phil Levis, & Gregory C. Beroza. FAST: a data mining approach to large-scale earthquake detection. American Geophysical Union (AGU) Fall Meeting, Washington, DC, 10-14 December 2018. [ link ]
  • Karianne Bergen. [Invited] Towards data-driven earthquake detection: Extracting weak seismic signals with locality-sensitive hashing. Conference on Neural Information Processing Systems, Workshop on Machine Learning for Geophysical and Geochemical Signals, Montreal, Canada, 7 December, 2018. [ workshop website ]
  • Karianne Bergen. [Invited] Improving earthquake detection with data mining and machine learning. IRIS Workshop: Foundations, Frontiers & Future Facilities for Seismology, Albuquerque, NM, 12-14 June 2018. [ abstract ] [ slides ] [ workshop website ]
  • Karianne Bergen & Gregory Beroza. Extending FAST to detect over a seismic network. Machine Learning in Solid Earth Geoscience, Santa Fe, NM, 20-22 February, 2018.
  • Karianne Bergen & Gregory C. Beroza. Automatic Earthquake Detection by Active Learning. American Geophysical Union (AGU) Fall Meeting, New Orleans, LA, 11-15 December 2017. [ link ]
  • Karianne J. Bergen & Gregory C. Beroza. On the Use of Machine Learning for Seismic Event Detection. Seismological Society of America (SSA) Annual Meeting, Denver, CO, 18-20 April 2017. [ link ] [ student presentation award ]
  • Karianne Bergen. Data Mining for Microseismic Event Detection. Society of Exploration Geophysics Annual Meeting, Workshop on Data Analytics for Geoscience, Houston, TX , 28-29 September, 2017.
  • Karianne Bergen, & Gregory Beroza. Earthquake Fingerprints: Representing Earthquake Waveforms for Similarity-Based Detection. American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, 12-16 December 2016. [ link ]
  • Karianne J. Bergen, Clara E. Yoon, & Gregory C. Beroza. Data Mining for Earthquake Detection using Computationally Efficient Search for Similar Seismic Signals. Seismological Society of America (SSA) Annual Meeting, Reno, NV, 20-22 April 2016. [ link ] [ slidecast ] [ student presentation award ]
  • Karianne Bergen, Clara Yoon, Ossian O'Reilly, & Gregory Beroza. Unsupervised Approaches for Post-Processing in Computationally Efficient Waveform-Similarity-Based Detection. American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, 14-18 December 2015. [ link ] [ student paper award ]
  • Karianne Bergen, Clara Yoon, Ossian O'Reilly, & Gregory Beroza. Fingerprint and Similarity Thresholding for Computationally Efficient Earthquake Detection. Southern California Earthquake Center (SCEC) Annual Meeting, Palm Springs, CA, 13-16 September 2015.

Patents

  • Beroza, Gregory C., Ossian J. O'Reilly, Clara E. Yoon, & Karianne Bergen. Efficient Similarity Search of Seismic Waveforms. U.S. Patent Application 14/704,387, filed May 5, 2015. [ link ]