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Warren Davis
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Using feature importance metrics to detect events of interest in scientific computing applications
J Ling, WP Kegelmeyer, K Aditya, H Kolla, KA Reed, TM Shead, WL Davis
2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV), 55-63, 2017
262017
Anomaly detection in scientific data using joint statistical moments
K Aditya, H Kolla, WP Kegelmeyer, TM Shead, J Ling, WL Davis IV
Journal of Computational Physics 387, 522-538, 2019
222019
Enhancing pattern classification with relational fuzzy neural networks and square BK-products
WL Davis IV
The Florida State University, 2006
202006
Machine learning models of errors in large eddy simulation predictions of surface pressure fluctuations
MF Barone, J Ling, K Chowdhary, W Davis, J Fike
47th AIAA Fluid Dynamics Conference, 3979, 2017
152017
Using NoSQL databases for streaming network analysis
B Wylie, D Dunlavy, W Davis, J Baumes
IEEE Symposium on Large Data Analysis and Visualization (LDAV), 121-124, 2012
132012
Development of machine learning models for turbulent wall pressure fluctuations
J Ling, MF Barone, W Davis, K Chowdhary, J Fike
55th AIAA Aerospace Sciences Meeting, 0755, 2017
112017
Data privacy and security considerations for personal assistants for learning (PAL)
EM Raybourn, N Fabian, W Davis, RC Parks, J McClain, D Trumbo, ...
Proceedings of the 20th International Conference on Intelligent User …, 2015
102015
Topicview: Visual analysis of topic models and their impact on document clustering
PJ Crossno, AT Wilson, TM Shead, WL DAVIS IV, DM Dunlavy
International Journal on Artificial Intelligence Tools 22 (05), 1360008, 2013
92013
Counter adversarial data analytics
P Kegelmeyer, TM Shead, J Crussell, K Rodhouse, D Robinson, ...
SAND Report 3711, 2015, 2015
82015
Finding representative association rules from large rule collections
WL Davis IV, P Schwarz, E Terzi
Proceedings of the 2009 SIAM International Conference on Data Mining, 521-532, 2009
82009
Arctic Tipping Points Triggering Global Change (LDRD Final Report)
KJ Peterson, AJ Powell, IK Tezaur, EL Roesler, J Nichol, MG Peterson, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2020
52020
Enhancing performance of relational fuzzy neural networks with square BK-products
WL Davis IV, L Kohout
9th Joint International Conference on Information Sciences (JCIS-06), 2006
52006
Using Deep Neural Networks to Predict Material Types in Conditional Point Sampling Applied to Markovian Mixture Models.
IV Davis, W Leon, AJ Olson, GA Popoola, DS Bolintineanu, T Rodgers, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
32021
Bios.
R Byrne, D Stracuzzi, W Davis, JP Watson, M Reno, L Blakely
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2019
22019
Near-Wall Modeling Using Coordinate Frame Invariant Representations and Neural Networks
NE Miller, MF Barone, WL Davis, JA Fike
AIAA Aviation 2019 Forum, 3530, 2019
22019
Hybrid Methods for Cybersecurity Analysis LDRD Final Report
WL Davis IV, MD Daniel
SAND2014-0446. January, 2014
22014
A Novel In Situ Machine Learning Framework for Intelligent Data Capture and Event Detection
TM Shead, IK Tezaur, WL Davis IV, ML Carlson, DM Dunlavy, EJ Parish, ...
Machine Learning and Its Application to Reacting Flows: ML and Combustion, 53-87, 2023
12023
In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms.
IV Davis, W Leon, T Shead, H Kolla, K Reed, WP Kegelmeyer, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2020
12020
The Potential of Integrated Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate Modeling
WL Davis IV, KA Reed, T Shead, H Kolla, G Popoola, P Kegelmeyer, ...
AGU Fall Meeting Abstracts 2019, A51U-2683, 2019
12019
Embedding python for in-situ analysis
TM Shead, A Konduri, H Kolla, D Dunlavy, WP Kegelmeyer, WL Davis IV
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2018
12018
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