Publications
Publication | Type | Year |
---|---|---|
Feature Pathway Detection using Random Forest Regressor Feature ImportancesAmerican Geophysical Union 2022
|
Abstract – 2022 Abstract | 2022 |
Machine Learning Classification for Rapid CAD-to-SimulationInternational Meshing Roundtable
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Machine Learning Classification for Rapid CAD-to-SimulationSIAM International Meshing Roundtable
|
Conference Paper – 2022 Conference Paper | 2022 |
Casual Evaluations for Identifying Differences between Observations and Earth System Models |
Report – 2021 Report | 2021 |
Causal Analysis for Climate ScienceChesapeake Large-Scale Analytics Conference
|
Abstract – 2021 Abstract | 2021 |
Infrasound Phase Arrival Uncertainty and Seismoacoustic Event Location ComparisonThe 181st Meeting of the Acoustical Society of America
|
Abstract – 2021 Abstract | 2021 |
Learning Why: Data-Driven Causal Evaluations of Climate ModelsICML 2021 Workshop Tackling Climate Change with Machine Learning
|
Conference Poster – 2021 Conference Poster | 2021 |
Learning Why: Data-Driven Causal Evaluations of Climate ModelsICML 2021 Workshop Tackling Climate Change with Machine Learning
|
Conference Proceeding – 2021 Conference Proceeding | 2021 |
Machine learning feature analysis illuminates disparity between E3SM climate models and observed climate changeArctic Climate Machine learning Energy Exascale Earth System Model |
Journal Article – 2021 Journal Article | 2021 |
Generating Uncertainty Distributions for Seismic Signal Onset TimesBulletin of the Seismological Society of America |
Journal Article – 2021 Journal Article | 2021 |
Machine Learning Feature Analysis Illuminates Disparity Between E3SM Climate Models and Observed Climate ChangeJournal of Computational and Applied Mathematics |
Journal Article – 2021 Journal Article | 2021 |
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 |
Machine Learning to Compare Arctic Simulations With Observed DataEuropean Seminar on Computing 2020 |
Conference Paper – 2020 Conference Paper | 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 |
Using Anomaly Detection for Activity IdentificationCoDA 2020
|
Abstract – 2020 Abstract | 2020 |
Using Machine Learning to Compare Simulated and Observed Arctic Climate DataConference on Data Analysis
|
Abstract – 2020 Abstract | 2020 |
Feature Comparison Of Arctic Observations And Climate ModelsAmerican Geophysical Union |
Conference Paper – 2019 Conference Paper | 2019 |
Predicting Minimum Arctic Sea Ice ExtentMachine Learning R&D Colloquium |
Conference Paper – 2019 Conference Paper | 2019 |
Using Machine Learning to Compare Simulated and Observational Sea Ice Extent DataAmerican Geophysical Union 2019
|
Abstract – 2019 Abstract | 2019 |
Predicting Arctic Sea Ice Concentration with Data-Driven ModelsInternational Conference on Industrial and Applied Mathematics |
Conference Paper – 2019 Conference Paper | 2019 |
Predicting Arctic Sea Ice Concentration with Data-Driven ModelsThe International Council for Industrial and Applied Mathematics
|
Abstract – 2019 Abstract | 2019 |
Robust Arrival Time Uncertainty Estimation Using Gaussian BlurringSeismological Society of America (SSA) Annual Meeting |
Conference Paper – 2019 Conference Paper | 2019 |
Document Title | Type | Year |