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Paffenroth, Randy C.
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1

Non-Linear Matrix Completion:

Zhang, Fengrui ; Paffenroth, Randy C. ; Worth, David
Journal of Data Analysis and Information Processing.  12 (2024)  1 - p. 115-137 , 2024
Link: https://doi.org/10.4236/..
 
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2

Dimensionally reduced machine learning model for predicting..:

Kenney, David H. ; Paffenroth, Randy C. ; Timko, Michael T..
Journal of Cheminformatics.  15 (2023)  1 - p. , 2023
Link: https://doi.org/10.1186/..
 
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3

ChemVise: Maximizing Out-of-Distribution Chemical Detection..:

, In: 2023 International Conference on Machine Learning and Applications (ICMLA),
Moore, Alexander M. ; Paffenroth, Randy C. ; Ngo, Ken T.. - p. 53-60 , 2023
Link: https://doi.org/10.1109/..
 
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4

Machine Learning Predictions of Oil Yields Obtained by Plas..:

Belden, Elizabeth R. ; Rando, Matthew ; Ferrara, Owen G....
ACS Engineering Au.  3 (2022)  2 - p. 91-101 , 2022
Link: https://doi.org/10.1021/..
 
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5

ACGANs Improve Chemical Sensors for Challenging Distributio..:

, In: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA),
Moore, Alexander M. ; Paffenroth, Randy C. ; Ngo, Ken T.. - p. 286-293 , 2022
Link: https://doi.org/10.1109/..
 
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6

Accuracy of predictions made by machine learned models for ..:

Cheng, Feng ; Belden, Elizabeth R. ; Li, Wenjing...
Chemical Engineering Journal.  442 (2022)  - p. 136013 , 2022
Link: https://doi.org/10.1016/..
 
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7

Equitable edge partitions and Kirchhoff graphs:

Reese, Tyler M. ; Fehribach, Joseph D. ; Paffenroth, Randy C.
Linear Algebra and its Applications.  639 (2022)  - p. 225-242 , 2022
Link: https://doi.org/10.1016/..
 
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8

Model Selection and Evaluation for Machine Learning: Deep L..:

Kopper, Adam ; Karkare, Rasika ; Paffenroth, Randy C..
Integrating Materials and Manufacturing Innovation.  9 (2020)  3 - p. 287-300 , 2020
Link: https://doi.org/10.1007/..
 
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9

Machine Learning Pathway for Harnessing Knowledge and Data ..:

Sun, Ning ; Kopper, Adam ; Karkare, Rasika..
International Journal of Metalcasting.  15 (2020)  2 - p. 398-410 , 2020
Link: https://doi.org/10.1007/..
 
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10

Detecting task demand via an eye tracking machine learning ..:

Shojaeizadeh, Mina ; Djamasbi, Soussan ; Paffenroth, Randy C..
Decision Support Systems.  116 (2019)  - p. 91-101 , 2019
Link: https://doi.org/10.1016/..
 
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11

Uniform Kirchhoff graphs:

Reese, Tyler M. ; Fehribach, Joseph D. ; Paffenroth, Randy C..
Linear Algebra and its Applications.  566 (2019)  - p. 1-16 , 2019
Link: https://doi.org/10.1016/..
 
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12

Modern Machine Learning for Cyber-Defense and Distributed D..:

Paffenroth, Randy C. ; Zhou, Chong
IEEE Engineering Management Review.  47 (2019)  4 - p. 80-85 , 2019
Link: https://doi.org/10.1109/..
 
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13

Deep Learning with Domain Randomization for Optimal Filteri..:

, In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA),
Weiss, Matthew ; Paffenroth, Randy C. ; Whitehill, Jacob R.. - p. 1779-1786 , 2019
Link: https://doi.org/10.1109/..
 
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14

Impact of graphene nanoplatelet concentration and film thic..:

Wiederoder, Michael S. ; Weiss, Matthew ; Yoon, Bora...
Current Applied Physics.  19 (2019)  9 - p. 978-983 , 2019
Link: https://doi.org/10.1016/..
 
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15

The Autoencoder-Kalman Filter: Theory and Practice:

, In: 2019 53rd Asilomar Conference on Signals, Systems, and Computers,
Weiss, Matthew L. ; Paffenroth, Randy C. ; Uzarski, Joshua R. - p. 2176-2179 , 2019
Link: https://doi.org/10.1109/..
 
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