Publications

Results 1–25 of 56
Date Inputs. Currently set to enter a start and end date.
Current Filters Clear all
Publication Type Year

Posters for AA/CE Reception

AA/CE Reception

Robert J. Kuether, Brooke Marie Allensworth, Adam Backer, Elton Y Chen, Remi Philippe Michel Dingreville, Eric Christopher Forrest, Robert Knepper, Alexander S. Tappan, Michael P. Marquez, Jonathan George Vasiliauskas, Stephen George Rupper, Michael James Grant, Lauren Claire Atencio, Tyler John Hipple, Danae Maria Maes, Jerilyn A. Timlin, Tian J. Ma, Rudy J. Garcia, Forest Danford, Laura Patrizi, Jennifer Galasso, Timothy J. Draelos, Thushara Gunda, Otoniel Venezuela, Wesley Alexander Brooks, Stephen Michael Anthony, Bryan Carson, Michael Johnathan Reeves, Matthew Roach, Erin Maines, Judith Maria Lavin, Shaun R Whetten, Laura Painton Swiler

https://www.osti.gov/search/identifier:1592652

Display or Poster (non-conference) – 2018 Display or Poster (non-conference) 2018

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

Preliminary Results on Applying Nonparametric Clustering and Bayesian Consensus Clustering Methods to Multimodal Data

Maximillian Gene Chen, Michael Christopher Darling, David John Stracuzzi

https://www.osti.gov/search/identifier:1475256

SAND Report – 2018 SAND Report 2018

TATB Sensitivity to Shocks from Electrical Arcs

Journal of Applied Physics

Kenneth C. Chen, Larry K. Warne, Roy E. Jorgenson, John Henry Judah Niederhaus

https://www.osti.gov/search/identifier:1529292

Journal Article – 2018 Journal Article 2018

A Mathematical Framework for Uncertainty Quantification in Multimodal Image Analysis via Probabilistic Clustering Models

Cornell Day of Statistics

Maximillian Gene Chen, David John Stracuzzi, Michael Christopher Darling

https://www.osti.gov/search/identifier:1591721

Conference Paper – 2018 Conference Paper 2018

A Mathematical Framework for Uncertainty Quantification in Multimodal Image Analysis via Probabilistic Clustering Models

Joint Statistical Meetings

Maximillian Gene Chen, David John Stracuzzi, Michael Christopher Darling

https://www.osti.gov/search/identifier:1575046

Conference Paper – 2018 Conference Paper 2018

Wireless Temperature Sensing Using Permanent Magnets for Nonlinear Feedback Control of Exothermic Polymers

IEEE Sensors Journal

Anirban Mazumdar, Yi Chen Mazumdar, Bart G van Bloemen Waanders, Carlton F. Brooks, Michael Kuehl, Martin Nemer

https://www.osti.gov/search/identifier:1465381

Journal Article – 2018 Journal Article 2018

Pyomo.GDP: Disjunctive Models in Python

Process Systems Engineering 2018

Qi Chen, Emma Savannah Johnson, John Daniel Siirola, Ignacio E. (CMU) Grossmann

https://www.osti.gov/search/identifier:1531102

Conference Paper – 2018 Conference Paper 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

Remote Distributed Vibration Sensing through Opaque Media using Permanent Magnets

IEEE Transactions on Magnetics

Yi Chen Mazumdar, Anirban Mazumdar, Bart G van Bloemen Waanders, Stephen D Bond, Martin Nemer

https://www.osti.gov/search/identifier:1441477

Journal Article – 2018 Journal Article 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

Uncertainty Propagation In Multilayer Analysis

Conference On Data Analytics

Michael Christopher Darling, David John Stracuzzi, Maximillian Gene Chen

https://www.osti.gov/search/identifier:1498629

Conference Paper – 2018 Conference Paper 2018

Multimodal Image Analysis and Uncertainty Quantification via Nonparametric Probabilistic Clustering

Conference on Data Analysis 2018

Maximillian Gene Chen, Michael Christopher Darling, David John Stracuzzi

https://www.osti.gov/search/identifier:1498444

Conference Paper – 2018 Conference Paper 2018

Multimodal Image Analysis and Uncertainty Quantification via Nonparametric Probabilistic Clustering

Conference on Data Analysis 2018

Maximillian Gene Chen, David John Stracuzzi, Michael Christopher Darling

Abstract – 2018 Abstract 2018

Uncertainty Propagation In Multimodal Image Analysis

Conference On Data Analytics

Michael Christopher Darling, David John Stracuzzi, Maximillian Gene Chen

Abstract – 2018 Abstract 2018

A Mathematical Framework for Uncertainty Quantification in Multimodal Image Analysis via Probabilistic Clustering Models

Joint Statistical Meetings 2018

Maximillian Gene Chen, David John Stracuzzi, Michael Christopher Darling

Abstract – 2018 Abstract 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

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

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

Magnetic Methods for Tracking Particle Motions and Temperatures within Opaque Vessels

Martin Nemer, Bart G van Bloemen Waanders, Yi Chen Mazumdar, Oksana Guba, Anirban Mazumdar, Stephen D Bond, Carlton F. Brooks, Christine Cardinal Roberts, Amanda B. Dodd, Stephen Samuel Miller

https://www.osti.gov/search/identifier:1527320

SAND Report – 2017 SAND Report 2017

A Parallel Hierarchical Low-Rank Solver for General Sparse Matrices

Sparse Days 2017

Erik Gunnar Boman, Chao Chen, Eric Darve, Sivasankaran Rajamanickam, Raymond S. Tuminaro

https://www.osti.gov/search/identifier:1471958

Conference Paper – 2017 Conference Paper 2017
Document Title Type Year
Results 1–25 of 56