Publications
Publication | Type | Year |
---|---|---|
The Trusted Artificial Intelligence Research CampaignArtificial Intelligence for Robust Engineering & Science
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Overview of ML/AI at SandiaBNL workshop on AI/ML for Safeguards
|
Presentation (non-conference) – 2022 Presentation (non-conference) | 2022 |
WORKSHOP REPORT: AI-Enhanced Co-Design for Next-Generation Microelectronics: Innovating Innovation |
Report – 2021 Report | 2021 |
Exploring Explicit Uncertainty for Binary Analysis (EUBA) |
SAND Report – 2021 SAND Report | 2021 |
Using Uncertainty and Out-of-distribution Detection to Identify Unreliable PredictionsArtificial Intelligence and Statistics 2022
|
Abstract – 2021 Abstract | 2021 |
Optimizing Machine Learning Predictions with Prediction UncertaintySandia Academic Alliance/ UT Austin Student LDRD Poster Session |
Conference Poster – 2021 Conference Poster | 2021 |
AI Training for DOE LeadershipDOE AI Leadership Training |
Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
Generating Uncertainty Distributions for Seismic Signal Onset TimesBulletin of the Seismological Society of America |
Journal Article – 2021 Journal Article | 2021 |
Robustness and Validation of Model and Digital Twins Deployment |
Report – 2021 Report | 2021 |
Preliminary Work on a Digital Twin for Cancer PatientsARTIFICIAL INTELLIGENCE FOR ROBUST ENGINEERING & SCIENCE |
Conference Presentation – 2021 Conference Presentation | 2021 |
Preliminary Work on a Digital Twin for Cancer PatientsArtificial Intelligence for Robust Engineering and Science
|
Abstract – 2020 Abstract | 2020 |
Research Needs for Trusted Analytics in National Security SettingsNIST AI Assurance Mini-Workshop |
Presentation (non-conference) – 2020 Presentation (non-conference) | 2020 |
Models of Models: Recognizing and Managing the Uncertainties of Machine Learning in Engineering ApplicationsUncertainty Management and Machine Learning in Engineering Applications |
Conference Presentation – 2020 Conference Presentation | 2020 |
Models of Models: Recognizing and Managing the Uncertainties of Machine Learning in Engineering ApplicationsUncertainty Management and Machine Learning in Engineering Applications
|
Abstract – 2020 Abstract | 2020 |
Pattern of Life Behavior Recognition in Seismic DataAistats
|
Abstract – 2020 Abstract | 2020 |
Measuring and Extracting Activity from Time Series Data |
SAND Report – 2020 SAND Report | 2020 |
Arctic Tipping Points Triggering Global Change LDRD Final Report |
SAND Report – 2020 SAND Report | 2020 |
Research Needs for Trusted Analytics in National Security Settings |
Report – 2020 Report | 2020 |
Machine Learning to Compare Arctic Simulations With Observed DataEuropean Seminar on Computing 2020 |
Conference Paper – 2020 Conference Paper | 2020 |
A Novel Measure of Uncertainty For Machine Learning PredictionsConference On Data Analytics (CoDA) |
Conference Paper – 2020 Conference Paper | 2020 |
Project Management from the Perspective of a Principal InvestigatorProgram Magament Institute RGC Monthly Meeting
|
Presentation (non-conference) – 2020 Presentation (non-conference) | 2020 |
Event Detection and Characterization in a Network of Subsurface SensorsCoDA 202, Conference on Data Analysis
|
Abstract – 2020 Abstract | 2020 |
Comparing Simulated and Observed Data with Random Forest Feature ImportanceConference on Data Analysis |
Conference Paper – 2020 Conference Paper | 2020 |
Using Anomaly Detection for Activity IdentificationCoDA 2020
|
Conference Paper – 2020 Conference Paper | 2020 |
Machine Learning to Compare Arctic Simulations with Observed DataEuropean Seminar on Computing 2020
|
Abstract – 2020 Abstract | 2020 |
Document Title | Type | Year |