Publications

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Robust Arrival Time Uncertainty Estimation Using Gaussian Blurring

2019 Seismological Society of America Annual Meeting

Matthew Gregor Peterson, Charles Vollmer, David John Stracuzzi, Christopher J. Young

Abstract – 2019 Abstract 2019

Quantifying Uncertainty to Improve Decision Making in Machine Learning

David John Stracuzzi, Michael Christopher Darling, Matthew Gregor Peterson, Maximillian Gene Chen

https://www.osti.gov/search/identifier:1481629

SAND Report – 2018 SAND Report 2018

Dynamic Tuning of Seismic Signal Detector

Bulletin of the Seismological Society of America

Timothy J. Draelos, Matthew Gregor Peterson, Hunter Anne Knox, Benjamin J. Lawry, Kristin E. Phillips-Alonge, Abra E. Ziegler, Eric P. Chael, Christopher J. Young, Aleksandra Faust

https://www.osti.gov/search/identifier:1469633

Journal Article – 2018 Journal Article 2018

Using Uncertainty to Understand Machine Learning Models and Decisions

Research Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification

Maximillian Gene Chen, Michael Christopher Darling, Charles Vollmer, Matthew Gregor Peterson, David John Stracuzzi

https://www.osti.gov/search/identifier:1526113

Conference Paper – 2018 Conference Paper 2018

Data-Driven Uncertainty Quantification for Multisensor Analytics

SPIE Defense+Security

David John Stracuzzi, Michael Christopher Darling, Maximillian Gene Chen, Matthew Gregor Peterson

https://www.osti.gov/search/identifier:1575173

Conference Paper – 2018 Conference Paper 2018

Data-Driven Uncertainty Quantification for Multi-Sensor Analytics

SPIE Defense + Security

David John Stracuzzi, Michael Christopher Darling, Maximillian Gene Chen, Matthew Gregor Peterson

https://www.osti.gov/search/identifier:1507484

Conference Paper – 2018 Conference Paper 2018

UQ Pipeline for Seismic Onset Detection

Conference on Data Analysis (CoDA)

Matthew Gregor Peterson, David John Stracuzzi

https://www.osti.gov/search/identifier:1497535

Conference Paper – 2018 Conference Paper 2018

CoDA Poster Abstract

Conference on Data Analysis

Matthew Gregor Peterson, David John Stracuzzi

Abstract – 2018 Abstract 2018

Arctic Tipping Points Triggering Global Change

Geoscience External Advisory Board Meeting

Kara J. Peterson, Michael L. Parks, Eric Ackerman, Ray Bambha, Diana L Bull, Jennifer M Frederick, Jasper O. E. Hardesty, Anastasia Gennadyevna Ilgen, John Davis Jakeman, Amy Jo Powell, Matthew Gregor Peterson, Erika Louise Roesler, Cosmin Safta, David John Stracuzzi, Irina Kalashnikova Tezaur

https://www.osti.gov/search/identifier:1513640

Conference Paper – 2018 Conference Paper 2018

From Data to Decisions: Placing Machine Learning Challenges In Context

Neural Information Processing Systems Workshop on Challenges in Machine Learning

David John Stracuzzi, Maximillian Gene Chen, Michael Christopher Darling, Matthew Gregor Peterson

https://www.osti.gov/search/identifier:1484938

Conference Paper – 2017 Conference Paper 2017

Arctic Tipping Points Triggering Global Change

Geoscience External Review Board

Kara J. Peterson, Michael L. Parks, Eric Ackerman, Ray Bambha, Diana L Bull, Jennifer M Frederick, Jasper O. E. Hardesty, Anastasia Gennadyevna Ilgen, John Davis Jakeman, Matthew Gregor Peterson, Amy Jo Powell, Erika Louise Roesler, Cosmin Safta, David John Stracuzzi, Irina Kalashnikova Tezaur

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 Evaluation

Machine Learning Challenges as a Research Tool

Maximillian Gene Chen, David John Stracuzzi, Michael Christopher Darling, Matthew Gregor Peterson

https://www.osti.gov/search/identifier:1511807

Conference Paper – 2017 Conference Paper 2017

Change Point Uncertainty Quantification: First Arrival Picks for Seismic Signals

Nips WorkshopTime Series Analysis

Matthew Gregor Peterson, David John Stracuzzi, Charles Vollmer

https://www.osti.gov/search/identifier:1481487

Conference Paper – 2017 Conference Paper 2017

Uncertainty Quantification for Seismic Events

Super Computing

Matthew Gregor Peterson

https://www.osti.gov/search/identifier:1480654

Conference Paper – 2017 Conference Paper 2017

Data-Driven Uncertainty Quantification for Multi-Sensor Analytics

SPIE Defense and Security Conference

David John Stracuzzi, Maximillian Gene Chen, Michael Christopher Darling, Matthew Gregor Peterson

Abstract – 2017 Abstract 2017

Establishing Uniform Image Segmentation Ground Truth Protocols for Uncertainty Quantification and Improved Model Evaluation

Challenges in Machine Learning 2017

Maximillian Gene Chen, David John Stracuzzi, Michael Christopher Darling, Matthew Gregor Peterson

Abstract – 2017 Abstract 2017

Increasing Trust By Quantifying Uncertainty

Trustworthy Algorithmic Decision-Making

Michael Christopher Darling, David John Stracuzzi, Matthew Gregor Peterson, Maximillian Gene Chen, Michael Christopher Darling, Michael Christopher Darling

Abstract – 2017 Abstract 2017

From Data to Decisions: Placing Machine Learning Challenges in Context

NIPS 2017 WorkshopMachine Learning Challenges as a Research Tool

David John Stracuzzi, Maximillian Gene Chen, Michael Christopher Darling, Matthew Gregor Peterson

Abstract – 2017 Abstract 2017

Adaptive Self-Tuning of Signal Detection Parameters

Timothy J. Draelos, Matthew Gregor Peterson, Hunter Anne Knox, Benjamin James Lawry, Kristin Philips-Alonge, Abra Ziegler, Eric Chael, Christopher J. Young, Aleksandra Faust

https://www.osti.gov/search/identifier:1596198

SAND Report – 2017 SAND Report 2017

Using Data-Driven Uncertainty Quantification to Support Decision Making

Cis Rf Erb

David John Stracuzzi, Matthew Gregor Peterson, Charles Vollmer

https://www.osti.gov/search/identifier:1465020

Display or Poster (non-conference) – 2017 Display or Poster (non-conference) 2017

Experiments on Adaptive Self-Tuning of Seismic Signal Detector Parameters

American Geophysical Union

Hunter Anne Knox, Timothy J. Draelos, Christopher J. Young, Matthew Gregor Peterson, Kristin (DTRA) Phillips-Allonge, Robert (NMT) Balch, Abra Elizabeth Ziegler

https://www.osti.gov/search/identifier:1431965

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, Texas

American Geophysical Union

Abra Elizabeth Ziegler, Robert (NMT) Balch, Hunter Anne Knox, Jolante (NMT) van Wijk, Timothy J. Draelos, Matthew Gregor Peterson

https://www.osti.gov/search/identifier:1431964

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 Site

Ssa 2017

Abra Elizabeth Ziegler, Robert Balch, Hunter Anne Knox, Jolante Van Wijk, Timothy J. Draelos, Matthew Gregor Peterson

https://www.osti.gov/search/identifier:1513619

Conference Paper – 2017 Conference Paper 2017

Uncertainty Quantification for Machine Learning

David John Stracuzzi, Maximillian Gene Chen, Michael Christopher Darling, Matthew Gregor Peterson, Charles Vollmer

https://www.osti.gov/search/identifier:1733262

SAND Report – 2017 SAND Report 2017

Using Data-Driven Uncertainty Quantification to Support Decision Making

Statistical Data Science Conference

Charles Vollmer, Matthew Gregor Peterson, David John Stracuzzi, Maximillian Gene Chen

https://www.osti.gov/search/identifier:1513614

Conference Paper – 2017 Conference Paper 2017
Document Title Type Year
Results 26–50 of 71