David John Stracuzzi

Sandia National Laboratories California — United States

Engineering · Physical Sciences

8h-index322citations77works3.02yr avg
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Research Topics

Fault Detection and Control Systems(11), AI-based Problem Solving and Planning(11), Anomaly Detection Techniques and Applications(8), Artificial Intelligence in Games(7), Machine Learning and Algorithms(7)

Publications77 total

Safety in Artificial Intelligence: Challenges and Opportunities for the U.S. National Labs and Beyond
2024Open Access
AI for Technoscientific Discovery: A Human-Inspired Architecture
Journal of Creativity·2024· 6 citedOpen Access
Paraview Omniverse Scientific Visualization
2023Open Access
Method for enhancing a computer to estimate an uncertainty of an onset of a signal of interest in time-series noisy data
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2023Open Access
Decision Science for Machine Learning (DeSciML)
2022Open Access
Pattern-of-Life Activity Recognition In Seismic Data
Applied Artificial Intelligence·2022· 2 citedOpen Access
The Trusted Artificial Intelligence Research Campaign.
2022Open Access
Research Needs for Trusted Analytics in National Security Settings.
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2021Open Access
Exploring Explicit Uncertainty for Binary Analysis (EUBA)
2021Open Access
AI-Enhanced Co-Design for Next-Generation Microelectronics: Innovating Innovation (Workshop Report)
2021· 1 citedOpen Access
Optimizing Machine Learning Predictions with Prediction Uncertainty.
2021Open Access
Robustness and Validation of Model and Digital Twins Deployment
2021· 1 citedOpen Access
Sudoku Online Testing Framework v.0.2
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2021Open Access
Preliminary Work on a Digital Twin for Cancer Patients.
2021Open Access
Generating Uncertainty Distributions for Seismic Signal Onset Times
Bulletin of the Seismological Society of America·2020· 3 citedOpen Access
Models of Models: Recognizing and Managing the Uncertainties of Machine Learning in Engineering Applications.
2020Open Access
Arctic Tipping Points Triggering Global Change (LDRD Final Report)
2020· 5 citedOpen Access
Measuring and Extracting Activity from Time Series Data
2020Open Access
Research Needs for Trusted Analytics in National Security Settings
2020· 1 citedOpen Access
Using Machine Learning to Compare Simulated and Observational Sea Ice Extent Data
AGU Fall Meeting Abstracts·2019
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Frequent Co-authors

Pat Langley(8), Paul E. Utgoff(6), Tolga Könik(6), Michael Darling(5), Kamal Ali(4), Gary Cleveland(4), Matthew Gregor Peterson(4), Ann Speed(4), Daniel Shapiro(4), Dan Shapiro(3), Maximillian Chen(3), Charlie Vollmer(3), Nan Li(3), Alan Fern(2), Nan Li(2), Matthew Molineaux(2), David W. Aha(2), Michael Darling(2), Nan Li(2), Negin Nejati(2)