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Paffenroth, Randy
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1

Exploring Neural Network Structure through Sparse Recurrent..:

, In: 2023 International Conference on Machine Learning and Applications (ICMLA),
Hershey, Quincy ; Paffenroth, Randy ; Pathak, Harsh - p. 128-135 , 2023
Link: https://doi.org/10.1109/..
 
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2

Enhancing Neural Network Performance for Problems in the Ph..:

, In: 2023 57th Asilomar Conference on Signals, Systems, and Computers,
Barger, Maria ; Witz, Evan ; Paffenroth, Randy - p. 860-865 , 2023
Link: https://doi.org/10.1109/..
 
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3

Graph Coordinates and Conventional Neural Networks - An Alt..:

, In: 2023 IEEE International Conference on Big Data (BigData),
Qin, Zheyi ; Paffenroth, Randy ; Jayasumana, Anura P. - p. 4456-4465 , 2023
Link: https://doi.org/10.1109/..
 
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4

One-class Classification Using Autoencoder Feature Residual..:

, In: 2023 32nd International Conference on Computer Communications and Networks (ICCCN),
Lewandowski, Brian ; Paffenroth, Randy - p. 1-7 , 2023
Link: https://doi.org/10.1109/..
 
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5

Overwater Emitter Localization with a Single Receiver using..:

, In: 2023 International Conference on Machine Learning and Applications (ICMLA),
Barger, Maria ; Bidigare, Patrick ; Brown, D. Richard... - p. 1589-1594 , 2023
Link: https://doi.org/10.1109/..
 
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6

Conditioned Cycles in Sparse Data Domains: Applications to ..:

, In: 2023 International Conference on Machine Learning and Applications (ICMLA),
Barger, Maria ; Paffenroth, Randy ; Pathak, Harsh - p. 1324-1331 , 2023
Link: https://doi.org/10.1109/..
 
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7

Sequentia12D: Organizing Center of Skip Connections for Tra..:

, In: 2023 International Conference on Machine Learning and Applications (ICMLA),
Pathak, Harsh Nilesh ; Paffenroth, Randy ; Hershey, Quincy - p. 362-368 , 2023
Link: https://doi.org/10.1109/..
 
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8

Autoencoder Feature Residuals for Network Intrusion Detecti..:

Lewandowski, Brian ; Paffenroth, Randy
Machine Learning and Knowledge Extraction.  5 (2023)  3 - p. 868-890 , 2023
Link: https://doi.org/10.3390/..
 
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9

Reconstruction of fragmented trajectories of collective mot..:

Gajamannage, Kelum ; Park, Yonggi ; Paffenroth, Randy.
Pattern Recognition.  131 (2022)  - p. 108891 , 2022
Link: https://doi.org/10.1016/..
 
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10

Self-Supervised Deep Hadamard Autoencoders for Treating Mis..:

Karkare, Rasika ; Paffenroth, Randy ; Apelian, Diran
Integrating Materials and Manufacturing Innovation.  11 (2022)  2 - p. 187-197 , 2022
Link: https://doi.org/10.1007/..
 
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11

Autoencoder Feature Residuals for Network Intrusion Detecti..:

, In: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA),
Lewandowski, Brian ; Paffenroth, Randy - p. 1334-1341 , 2022
Link: https://doi.org/10.1109/..
 
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12

Improving Network Intrusion Detection Using Autoencoder Fea..:

, In: 2022 4th International Conference on Data Intelligence and Security (ICDIS),
Lewandowski, Brian ; Paffenroth, Randy ; Campbell, Kayleigh - p. 31-39 , 2022
Link: https://doi.org/10.1109/..
 
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13

Dimension Estimation Using Autoencoders and Application:

, In: Advances in Intelligent Systems and Computing; Deep Learning Applications, Volume 3,
Bahadur, Nitish ; Lewandowski, Brian ; Paffenroth, Randy - p. 95-121 , 2021
Link: https://doi.org/10.1007/..
 
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14

Bounded manifold completion:

Gajamannage, Kelum ; Paffenroth, Randy
Pattern Recognition.  111 (2021)  - p. 107661 , 2021
Link: https://doi.org/10.1016/..
 
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15

Machine Learning in LiDAR 3D Point Clouds:

, In: Association for Women in Mathematics Series; Advances in Data Science,
Medina, F. Patricia ; Paffenroth, Randy - p. 113-133 , 2021
Link: https://doi.org/10.1007/..
 
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