Publications

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The Trusted Artificial Intelligence Research Campaign

Artificial Intelligence for Robust Engineering & Science

David John Stracuzzi

Conference Presentation – 2022 Conference Presentation 2022

Overview of ML/AI at Sandia

BNL workshop on AI/ML for Safeguards

Michael Reed Smith, Nancy Kay Hayden, David John Stracuzzi, Nathan Shoman

Presentation (non-conference) – 2022 Presentation (non-conference) 2022

WORKSHOP REPORT: AI-Enhanced Co-Design for Next-Generation Microelectronics: Innovating Innovation

Michael R. Descour, Jeffrey Y. Tsao, David John Stracuzzi, Anna K Wakeland, David R. Schultz, William Smith, Jacquilyn Anne Weeks

https://www.osti.gov/search/identifier:1845383

Report – 2021 Report 2021

Exploring Explicit Uncertainty for Binary Analysis (EUBA)

Michelle A. Leger, Michael Christopher Darling, Stephen T. Jones, Laura E. Matzen, David John Stracuzzi, Andrew T. Wilson, Denis Bueno, Matthew Christentsen, Melissa Ginaldi, David Alexander Hannasch, Scott Heidbrink, Breannan Carole Howell, Chris L. Leger, Geoffrey Edward Reedy, Alisa Nicole Rogers, Jack Arthur Williams

https://www.osti.gov/search/identifier:1832314

SAND Report – 2021 SAND Report 2021

Using Uncertainty and Out-of-distribution Detection to Identify Unreliable Predictions

Artificial Intelligence and Statistics 2022

Michael Christopher Darling, Justin E Doak, Richard V. Field, Mark A. Smith, David John Stracuzzi

Abstract – 2021 Abstract 2021

Optimizing Machine Learning Predictions with Prediction Uncertainty

Sandia Academic Alliance/ UT Austin Student LDRD Poster Session

Zachary J. Smith, Michael Christopher Darling, David John Stracuzzi, Justin E Doak, Mark A. Smith, J. Eric Bickel

https://www.osti.gov/search/identifier:1860307

Conference Poster – 2021 Conference Poster 2021

AI Training for DOE Leadership

DOE AI Leadership Training

Courtney Corley, David John Stracuzzi

https://www.osti.gov/search/identifier:1860304

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

Generating Uncertainty Distributions for Seismic Signal Onset Times

Bulletin of the Seismological Society of America

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

https://www.osti.gov/search/identifier:1781564

Journal Article – 2021 Journal Article 2021

Robustness and Validation of Model and Digital Twins Deployment

Svitana Volkova, David John Stracuzzi, Jenifer Shafer, Jaideep Ray, Laura Pullum

https://www.osti.gov/search/identifier:1770631

Report – 2021 Report 2021

Preliminary Work on a Digital Twin for Cancer Patients

ARTIFICIAL INTELLIGENCE FOR ROBUST ENGINEERING & SCIENCE

David John Stracuzzi

https://www.osti.gov/search/identifier:1854684

Conference Presentation – 2021 Conference Presentation 2021

Preliminary Work on a Digital Twin for Cancer Patients

Artificial Intelligence for Robust Engineering and Science

David John Stracuzzi

Abstract – 2020 Abstract 2020

Research Needs for Trusted Analytics in National Security Settings

NIST AI Assurance Mini-Workshop

David John Stracuzzi, Ann Speed

https://www.osti.gov/search/identifier:1832675

Presentation (non-conference) – 2020 Presentation (non-conference) 2020

Models of Models: Recognizing and Managing the Uncertainties of Machine Learning in Engineering Applications

Uncertainty Management and Machine Learning in Engineering Applications

David John Stracuzzi

https://www.osti.gov/search/identifier:1831563

Conference Presentation – 2020 Conference Presentation 2020

Models of Models: Recognizing and Managing the Uncertainties of Machine Learning in Engineering Applications

Uncertainty Management and Machine Learning in Engineering Applications

David John Stracuzzi

Abstract – 2020 Abstract 2020

Pattern of Life Behavior Recognition in Seismic Data

Aistats

David John Stracuzzi, Erick Clint Draayer

Abstract – 2020 Abstract 2020

Measuring and Extracting Activity from Time Series Data

David John Stracuzzi, Matthew Gregor Peterson, Gabriel ANUOLUWAPO Popoola

https://www.osti.gov/search/identifier:1673451

SAND Report – 2020 SAND Report 2020

Arctic Tipping Points Triggering Global Change LDRD Final Report

Kara J. Peterson, Amy Jo Powell, Irina Kalashnikova Tezaur, Erika Louise Roesler, Jeffrey Nichol, Matthew Gregor Peterson, Warren Leon Davis, John Davis Jakeman, David John Stracuzzi, Diana L Bull

https://www.osti.gov/search/identifier:1669210

SAND Report – 2020 SAND Report 2020

Research Needs for Trusted Analytics in National Security Settings

David John Stracuzzi, Ann Speed

https://www.osti.gov/search/identifier:1662023

Report – 2020 Report 2020

Machine Learning to Compare Arctic Simulations With Observed Data

European Seminar on Computing 2020

Jeffrey Nichol, Matthew Gregor Peterson, Kara J. Peterson, David John Stracuzzi, Matthew Fricke

https://www.osti.gov/search/identifier:1807391

Conference Paper – 2020 Conference Paper 2020

A Novel Measure of Uncertainty For Machine Learning Predictions

Conference On Data Analytics (CoDA)

Michael Christopher Darling, Don R. Hush, David John Stracuzzi

https://www.osti.gov/search/identifier:1768156

Conference Paper – 2020 Conference Paper 2020

Project Management from the Perspective of a Principal Investigator

Program Magament Institute RGC Monthly Meeting

David John Stracuzzi

Presentation (non-conference) – 2020 Presentation (non-conference) 2020

Event Detection and Characterization in a Network of Subsurface Sensors

CoDA 202, Conference on Data Analysis

Charles Vollmer, David John Stracuzzi, Paul Conrad Schwering, Christian Poppeliers, Didem G. Beskardes

Abstract – 2020 Abstract 2020

Comparing Simulated and Observed Data with Random Forest Feature Importance

Conference on Data Analysis

Jeffrey Nichol, Matthew Gregor Peterson, Kara J. Peterson, David John Stracuzzi

https://www.osti.gov/search/identifier:1766757

Conference Paper – 2020 Conference Paper 2020

Using Anomaly Detection for Activity Identification

CoDA 2020

Gabriel ANUOLUWAPO Popoola, Matthew Gregor Peterson, David John Stracuzzi

Conference Paper – 2020 Conference Paper 2020

Machine Learning to Compare Arctic Simulations with Observed Data

European Seminar on Computing 2020

Jeffrey Nichol, Matthew Gregor Peterson, Warren Leon Davis, Kara J. Peterson, David John Stracuzzi

Abstract – 2020 Abstract 2020
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Results 1–25 of 107