Publications
Publication | Type | Year |
---|---|---|
Robust Arrival Time Uncertainty Estimation Using Gaussian Blurring2019 Seismological Society of America Annual Meeting
|
Abstract – 2019 Abstract | 2019 |
Quantifying Uncertainty to Improve Decision Making in Machine Learning |
SAND Report – 2018 SAND Report | 2018 |
Dynamic Tuning of Seismic Signal DetectorBulletin of the Seismological Society of America |
Journal Article – 2018 Journal Article | 2018 |
Using Uncertainty to Understand Machine Learning Models and DecisionsResearch Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification |
Conference Paper – 2018 Conference Paper | 2018 |
Data-Driven Uncertainty Quantification for Multisensor AnalyticsSPIE Defense+Security |
Conference Paper – 2018 Conference Paper | 2018 |
Data-Driven Uncertainty Quantification for Multi-Sensor AnalyticsSPIE Defense + Security |
Conference Paper – 2018 Conference Paper | 2018 |
UQ Pipeline for Seismic Onset DetectionConference on Data Analysis (CoDA) |
Conference Paper – 2018 Conference Paper | 2018 |
CoDA Poster AbstractConference on Data Analysis
|
Abstract – 2018 Abstract | 2018 |
Arctic Tipping Points Triggering Global ChangeGeoscience External Advisory Board Meeting |
Conference Paper – 2018 Conference Paper | 2018 |
From Data to Decisions: Placing Machine Learning Challenges In ContextNeural Information Processing Systems Workshop on Challenges in Machine Learning |
Conference Paper – 2017 Conference Paper | 2017 |
Arctic Tipping Points Triggering Global ChangeGeoscience External Review Board
|
Display or Poster (non-conference) – 2017 Display or Poster (non-conference) | 2017 |
Establishing Uniform Image Segmentation Ground Truth Protocols for Uncertainty Quantification and Improved Model EvaluationMachine Learning Challenges as a Research Tool |
Conference Paper – 2017 Conference Paper | 2017 |
Change Point Uncertainty Quantification: First Arrival Picks for Seismic SignalsNips WorkshopTime Series Analysis |
Conference Paper – 2017 Conference Paper | 2017 |
Uncertainty Quantification for Seismic EventsSuper Computing |
Conference Paper – 2017 Conference Paper | 2017 |
Data-Driven Uncertainty Quantification for Multi-Sensor AnalyticsSPIE Defense and Security Conference
|
Abstract – 2017 Abstract | 2017 |
Establishing Uniform Image Segmentation Ground Truth Protocols for Uncertainty Quantification and Improved Model EvaluationChallenges in Machine Learning 2017
|
Abstract – 2017 Abstract | 2017 |
Increasing Trust By Quantifying UncertaintyTrustworthy Algorithmic Decision-Making
|
Abstract – 2017 Abstract | 2017 |
From Data to Decisions: Placing Machine Learning Challenges in ContextNIPS 2017 WorkshopMachine Learning Challenges as a Research Tool
|
Abstract – 2017 Abstract | 2017 |
Adaptive Self-Tuning of Signal Detection Parameters |
SAND Report – 2017 SAND Report | 2017 |
Using Data-Driven Uncertainty Quantification to Support Decision MakingCis Rf Erb |
Display or Poster (non-conference) – 2017 Display or Poster (non-conference) | 2017 |
Experiments on Adaptive Self-Tuning of Seismic Signal Detector ParametersAmerican Geophysical Union |
Conference Paper – 2017 Conference Paper | 2017 |
Automated Sensor Tuning for Seismic Event Detection at a Carbon Capture, Utilization, and Storage Site, Farnsworth Unit, Ochiltree County, TexasAmerican Geophysical Union |
Conference Paper – 2017 Conference Paper | 2017 |
Evaluation Of Adaptive Sensor Tuning For Microseismic Event Detection In Varying Noise Conditions At A Carbon Capture, Utilization, And Storage SiteSsa 2017 |
Conference Paper – 2017 Conference Paper | 2017 |
Uncertainty Quantification for Machine Learning |
SAND Report – 2017 SAND Report | 2017 |
Using Data-Driven Uncertainty Quantification to Support Decision MakingStatistical Data Science Conference |
Conference Paper – 2017 Conference Paper | 2017 |
Document Title | Type | Year |