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Joshua Michalenko
Joshua Michalenko
Bestätigte E-Mail-Adresse bei sandia.gov
Titel
Zitiert von
Zitiert von
Jahr
Representing formal languages: A comparison between finite automata and recurrent neural networks
JJ Michalenko
Rice University, 2019
50*2019
Data-mining textual responses to uncover misconception patterns
JJ Michalenko, AS Lan, RG Baraniuk
Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 245-248, 2017
182017
Semisupervised learning for seismic monitoring applications
L Linville, D Anderson, J Michalenko, J Galasso, T Draelos
Seismological Research Letters 92 (1), 388-395, 2021
72021
Machine Learning Predictions of Transition Probabilities in Atomic Spectra
JJ Michalenko, CM Murzyn, JD Zollweg, L Wermer, AJ Van Omen, ...
Atoms 9 (1), 2, 2021
42021
Multimodal Data Fusion via Entropy Minimization
JJ Michalenko, LM Linville, DZ Anderson
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
22020
Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks.
JJ Michalenko, AS Lan, RG Baraniuk
EDM, 2017
22017
Finite Automata Can be Linearly Decoded from Language-Recognizing RNNs
JJ Michalenko, A Shah
International Conference on Learning Representations (ICLR), 2019
12019
Comparing the quality of neural network uncertainty estimates for classification problems
D Ries, J Michalenko, T Ganter, RIF Baiyasi, J Adams
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
2022
The Evaluation and Calibration of Epistemic Uncertainty Estimates.
C Qian, T Ganter, J Michalenko, F Liang, J Adams
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
GraphAlign: Graph-Enabled Machine Learning for Seismic Event Filtering
J Michalenko, I Manickam, S Heck
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
Data Fusion via Neural Network Entropy Minimization for Target Detection and Multi-Sensor Event Classification
D Anderson, J Garcia, L Linville, J Michalenko
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
Assessing the Quality of Uncertainty Estimates in Deep Learning.
J Adams, R Baiyasi, T Ganter, J Michalenko, D Ries
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
Evaluating the quality of uncertainty quantification enabled deep learning models.
D Ries, J Adams, T Ganter, J Michalenko
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
Semi-supervised Bayesian Low-shot Learning
J Adams, K Goode, J Michalenko, P Lewis, D Ries, J Zollweg
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
2021
Machine Learning Predictions of Transition Probabilities in Atomic Spectra. Atoms 2021, 9, 2
JJ Michalenko, CM Murzyn, JD Zollweg, L Wermer, AJ Van Omen, ...
s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2021
2021
Multimodal Data Fusion via Entropy Minimization
LM Linville, JJ Michalenko, DZ Anderson
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
Entropy Minimization for Decision Fusion.
L Linville, JJ Michalenko, DZ Anderson
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
Shadow
C Murzyn, LI LInville, D Anderson, J Michalenko
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
2019
Semi-Supervised Classification of Seismic Events in an Inaccessible Region.
JJ Michalenko, DZ Anderson, RL Hansen, TJ Draelos, J Galasso, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
2018
NMSBA Seismic Imagery: Tribulations & Current Progress.
WT O'Rourke, T Burkhard, JJ Michalenko
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2014
2014
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