Armstrong, A. D., B. Baker, K. D. Koper (2025), Feature-based magnitude estimates for small earthquakes in the Yellowstone region, BSSA, doi: 10.1785/0120240240.
Wells D., A. Lomax, B. Baker, J. Bartley, and K. Pankow (2024), Wasatch Fault structure from machine learning arrival times and high-precision earthquake locations, BSSA, doi: 10.1785/0120230247.
Koper K. D., R. Burlacu, R. Murray, B. Baker, R. Tibi, A. Mueen (2024), Inferring the focal depths of small earthquakes in Southern California using physics‐based waveform features, BSSA, doi: 10.1785/0120230307.
Armstrong A. D., Z. Claerhout, B. Baker, K. D. Koper (2023), A deep‐learning phase picker with calibrated Bayesian‐derived uncertainties for earthquakes in the Yellowstone volcanic region, BSSA, doi: 10.1785/0120230068.
Wells D., F.C. Lin, K. Pankow, B. Baker, and J. Bartley (2022), Combining dense seismic arrays and broadband data to image the subsurface velocity structure in geothermally active south-central Utah, JGR: Solid Earth, doi: 10.1029/2022JB024070.
Mesimeri M., K. L., Pankow, B. Baker, and J. M. Hale (2021), Episodic earthquake swarms in the Mineral Mountains, Utah driven by the Roosevelt Hydrothermal System, JGR Solid Earth, doi: 10.1029/2021JB021659.
Baker, B., M Holt, K. Pankow, K. Koper, and J. Farrell (2021), Monitoring the 2020 Magna, Utah earthquake sequence with nodal seismometers and machine learning, Seism. Res. Lett., v. 92, 787-801, doi: 10.1785/0220200316 .
Crowell, B. W., D. A. Schmidt, P. Bodin, J. E. Vidale, B. Baker, S. Barrientos, and J. Geng (2018), G-FAST earthquake early warning potential for great earthquakes in Chile, Seism. Res. Lett., v. 89, 542-556, doi: 10.1785/0220170180.
Baker B. and S.W. Roecker (2014), A full waveform tomography algorithm for teleseismic body and surface waves in 2.5 dimensions, Geophys. J. Int., v. 198, 1775-1794, doi: 10.1093/gji/ggu236.
Roecker S.W., B. Baker, and J. McLaughlin, (2010), A finite-difference algorithm for full waveform teleseismic tomography, Geophys. J. Int., v. 181, 1017-1040, doi: 10.1111/j.1365-246X.2010.04553.x.
Baker B., A. Armstrong, and K. Pankow (2025), Using machine learning for near real-time monitoring in Utah and Yellowstone, Presented at SSA, Baltimore, Maryland, 14-17 Apr.
Baker B., A. Armstrong, M. Hale, and K. Pankow (2024), Improving arrival time estimates for real-time association and location algorithms, Presented at SSA, Anchorage, Alaska, 01-03 May.
Baker B., A. Armstrong, K. Pankow, and K. Koper (2023), Using the University of Utah message Passing System to help realize real-time machine learning modules in network operations, Presented at SSA, San Juan, Puerto Rico, 17-20 Apr.
Baker B., A. Armstrong, K. Pankow, and K. Koper (2022), On-premises integration of machine learning models at UUSS – Distributed and parallel computing, Presented at SSA, Bellevue, Washington, 19-22 Apr.
Baker, B., J. Farrell, and Z.E. Ross (2020), Applying deep learning to the 2008 Yellowstone Lake swarm sequence, CNLS, Albuquerque, New Mexico, 16-20 Mar.
Baker, B., K. Koper, and K. Pankow (2019), Expediting the UUSS’s response to the Soda Springs, Idaho aftershock sequence, AGU Fall Meeting Abstract, S21H-0622.
Baker, B., P. Friberg, and J. Stachnik (2018), Classification strategies applied to event nucleation and phase association, AGU Fall Meeting Abstract, S33E-0633.
Baker, B. (2017), Towards interferometric earthquake location for near real-time monitoring, AGU Fall Meeting Abstract, S21C-0743.
Baker, B., J. Stachnik, P. Friberg (2017), Parallel grid-search moment tensor estimation, Presented at SSA, Denver, Colorado, 18-20 Apr.
Baker, B., and S.W. Roecker (2015), Estimation of earthquake source properties along the East African Rift using full waveforms, AGU Fall Meeting Abstract, S33C-2801.
Baker, B. and P. Friberg (2014), Implementation and testing of a real-time 3-component phase picking program for Earthworm using the CECM algorithm, AGU Fall Meeting Abstract, S43A-4537.