Randy C. Paffenroth

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 68

Top Topics

Association Analysis

Top Venues

Publications

Quincy Hershey, Randy C. Paffenroth, Harsh Nilesh Pathak, Simon Tavener
Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity. CoRR (2024)
David H. Kenney, Randy C. Paffenroth, Michael T. Timko, Andrew R. Teixeira
Dimensionally reduced machine learning model for predicting single component octanol-water partition coefficients. J. Cheminformatics 15 (1) (2023)
Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski
ChemVise: Maximizing Out-of-Distribution Chemical Detection with the Novel Application of Zero-Shot Learning. CoRR (2023)
Zheyi Qin, Randy C. Paffenroth, Anura P. Jayasumana
Graph Coordinates and Conventional Neural Networks - An Alternative for Graph Neural Networks. CoRR (2023)
Maria Barger, Randy C. Paffenroth, Harsh Nilesh Pathak
Conditioned Cycles in Sparse Data Domains: Applications to Electromagnetics. ICMLA (2023)
Alexander M. Moore, Randy C. Paffenroth, Kenneth T. Ngo, Joshua R. Uzarski
ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensors. CoRR (2023)
Maria Barger, Patrick Bidigare, D. Richard Brown, Ilana Heintz, Randy C. Paffenroth, Evan C. Witz
Overwater Emitter Localization with a Single Receiver using Neural Network Modeling. ICMLA (2023)
Maria Barger, Evan C. Witz, Randy C. Paffenroth
Enhancing Neural Network Performance for Problems in the Physical Sciences: Applications to Electromagnetic Signal Source Localization. ACSSC (2023)
Quincy Hershey, Randy C. Paffenroth, Harsh Nilesh Pathak
Exploring Neural Network Structure through Sparse Recurrent Neural Networks: A Recasting and Distillation of Neural Network Hyperparameters. ICMLA (2023)
Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski
ChemVise: Maximizing Out-of-Distribution Chemical Detection with a Novel Application of Transfer Learning. ICMLA (2023)
Harsh Nilesh Pathak, Randy C. Paffenroth, Quincy Hershey
Sequentia12D: Organizing Center of Skip Connections for Transformers. ICMLA (2023)
Zheyi Qin, Randy C. Paffenroth, Anura P. Jayasumana
Graph Coordinates and Conventional Neural Networks - An Alternative for Graph Neural Networks. BigData (2023)
Brian Lewandowski, Randy C. Paffenroth
Autoencoder Feature Residuals for Network Intrusion Detection: One-Class Pretraining for Improved Performance. Mach. Learn. Knowl. Extr. 5 (3) (2023)
Brian Lewandowski, Randy C. Paffenroth
One-class Classification Using Autoencoder Feature Residuals for Improved IoT Network Intrusion Detection. ICCCN (2023)
Brian Lewandowski, Randy C. Paffenroth
Autoencoder Feature Residuals for Network Intrusion Detection: Unsupervised Pre-training for Improved Performance. ICMLA (2022)
Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski
ACGANs Improve Chemical Sensors for Challenging Distributions. ICMLA (2022)
Kelum Gajamannage, Yonggi Park, Randy C. Paffenroth, Anura P. Jayasumana
Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders. Pattern Recognit. 131 (2022)
Brian Lewandowski, Randy C. Paffenroth, Kayleigh Campbell
Improving Network Intrusion Detection Using Autoencoder Feature Residuals. ICDIS (2022)
Kelum Gajamannage, Randy C. Paffenroth
Bounded manifold completion. Pattern Recognit. 111 (2021)
Wenjing Li, Randy C. Paffenroth, Michael T. Timko, Matthew P. Rando, Avery B. Brown, N. Aaron Deskins
Theory for Deep Learning Regression Ensembles with Application to Raman Spectroscopy Analysis. ICMLA (2021)
F. Patricia Medina, Randy C. Paffenroth
Classification frameworks comparison on 3D point clouds. HPEC (2021)
Rasika Karkare, Randy C. Paffenroth, Gunjan Mahindre
Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders. CoRR (2021)
F. Patricia Medina, Randy C. Paffenroth
Machine Learning in LiDAR 3D point clouds. CoRR (2021)
Kelum Gajamannage, Yonggi Park, Randy C. Paffenroth, Anura P. Jayasumana
Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders. CoRR (2021)
Evan Witz, Maria Barger, Randy C. Paffenroth
Deep Learning for Range Localization via Over-Water Electromagnetic Signals. ICMLA (2021)
Nitish Bahadur, Randy C. Paffenroth
Dimension Estimation using Second Order data in Finance. IEEE BigData (2021)
Matthew L. Weiss, Nathan C. Frey, Siddharth Samsi, Randy C. Paffenroth, Vijay Gadepally
The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes. CoRR (2021)
Gunjan Mahindre, Rasika Karkare, Randy C. Paffenroth, Anura P. Jayasumana
A Pre-training Oracle for Predicting Distances in Social Networks. IEEE BigData (2021)
Wenjing Li, Randy C. Paffenroth, David Berthiaume
Neural Network Ensembles: Theory, Training, and the Importance of Explicit Diversity. CoRR (2021)
Gunjan Mahindre, Randy C. Paffenroth, Anura P. Jayasumana, Rasika Karkare
A Pre-training Oracle for Predicting Distances in Social Networks. CoRR (2021)
Erin Teeple, Caitlin Kuhlman, Brandon Werner, Randy C. Paffenroth, Elke A. Rundensteiner
Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014. HEALTHINF (2020)
Nitish Bahadur, Randy C. Paffenroth
Anomaly Detection in Exchange Traded Funds. IEEE BigData (2020)
Gunjan Mahindre, Rasika Karkare, Randy C. Paffenroth, Anura P. Jayasumana
Inference in Social Networks from Ultra-Sparse Distance Measurements via Pretrained Hadamard Autoencoders. LCN (2020)
Kirty Vedula, Randy C. Paffenroth, D. Richard Brown
Joint Coding and Modulation in the Ultra-Short Blocklength Regime for Bernoulli-Gaussian Impulsive Noise Channels Using Autoencoders. ICASSP (2020)
David Berthiaume, Randy C. Paffenroth, Lei Guo
Understanding Deep Learning: Expected Spanning Dimension and Controlling the Flexibility of Neural Networks. Frontiers Appl. Math. Stat. 6 (2020)
Les Servi, Randy C. Paffenroth, Melanie Jutras, Deon Burchett
Reducing Reporting Burden of Healthcare Data Using Robust Principal Component Analysis. IEEE BigData (2020)
Kelum Gajamannage, Randy C. Paffenroth, Anura P. Jayasumana
A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix. CoRR (2020)
M. L. Tlachac, Adam Sargent, Ermal Toto, Randy C. Paffenroth, Elke A. Rundensteiner
Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. ICMLA (2020)
Nitish Bahadur, Randy C. Paffenroth
Dimension Estimation Using Autoencoders with Applications to Financial Market Analysis. ICMLA (2020)
Kirty Vedula, Matthew L. Weiss, Randy C. Paffenroth, Joshua R. Uzarski, D. Richard Brown
Maneuvering Target Tracking using the Autoencoder-Interacting Multiple Model Filter. ACSSC (2020)
Hongzhu Cui, Chong Zhou, Xinyu Dai, Yuting Liang, Randy C. Paffenroth, Dmitry Korkin
Boosting gene expression clustering with system-wide biological information: a robust autoencoder approach. Int. J. Comput. Biol. Drug Des. 13 (1) (2020)
Anura P. Jayasumana, Randy C. Paffenroth, Gunjan Mahindre, Sridhar Ramasamy, Kelum Gajamannage
Network Topology Mapping From Partial Virtual Coordinates and Graph Geodesics. IEEE/ACM Trans. Netw. 27 (6) (2019)
Kelum Gajamannage, Randy C. Paffenroth
Reconstruction of Agents' Corrupted Trajectories of Collective Motion Using Low-rank Matrix Completion. IEEE BigData (2019)
Gunjan Mahindre, Anura P. Jayasumana, Kelum Gajamannage, Randy C. Paffenroth
On Sampling and Recovery of Topology of Directed Social Networks - A Low-Rank Matrix Completion Based Approach. LCN (2019)
Kelum Gajamannage, Randy C. Paffenroth, Erik M. Bollt
A nonlinear dimensionality reduction framework using smooth geodesics. Pattern Recognit. 87 (2019)
Wenjing Li, Randy C. Paffenroth
Optimal Ensembles for Deep Learning Classification: Theory and Practice. ICMLA (2019)
Mina Shojaeizadeh, Soussan Djamasbi, Randy C. Paffenroth, Andrew C. Trapp
Detecting task demand via an eye tracking machine learning system. Decis. Support Syst. 116 (2019)
Haitao Liu, Randy C. Paffenroth, Louis Scharf, Fangzheng Sun
Deep Kernel Coherence Encoder. ACSSC (2019)
Matthew L. Weiss, Randy C. Paffenroth, Joshua R. Uzarski
The Autoencoder-Kalman Filter: Theory and Practice. ACSSC (2019)
Paulo Victor Rodrigues Ferreira, Randy C. Paffenroth, Alexander M. Wyglinski, Timothy M. Hackett, Sven G. Bilén, Richard C. Reinhart, Dale J. Mortensen
Reinforcement Learning for Satellite Communications: From LEO to Deep Space Operations. IEEE Commun. Mag. 57 (5) (2019)
Harsh Nilesh Pathak, Randy C. Paffenroth
Parameter Continuation Methods for the Optimization of Deep Neural Networks. ICMLA (2019)
Matthew L. Weiss, Randy C. Paffenroth, Jacob Whitehill, Joshua R. Uzarski
Deep Learning with Domain Randomization for Optimal Filtering. ICMLA (2019)
Nitish Bahadur, Randy C. Paffenroth, Kelum Gajamannage
Dimenslon Estlmatlon of Equlty Markets. IEEE BigData (2019)
Kelum Gajamannage, Randy C. Paffenroth
Bounded Manifold Completion. CoRR (2019)
Nitish Bahadur, Randy C. Paffenroth
Dimension Estimation Using Autoencoders. CoRR (2019)
Behnam Partopour, Randy C. Paffenroth, Anthony G. Dixon
Random Forests for mapping and analysis of microkinetics models. Comput. Chem. Eng. 115 (2018)
Michael Giancola, Randy C. Paffenroth, Jacob Whitehill
Permutation-Invariant Consensus over Crowdsourced Labels. HCOMP (2018)
Haitao Liu, Randy C. Paffenroth, Jian Zou, Chong Zhou
Anomaly Detection via Graphical Lasso. CoRR (2018)
Paulo Victor Rodrigues Ferreira, Randy C. Paffenroth, Alexander M. Wyglinski, Timothy M. Hackett, Sven G. Bilén, Richard C. Reinhart, Dale J. Mortensen
Multiobjective Reinforcement Learning for Cognitive Satellite Communications Using Deep Neural Network Ensembles. IEEE J. Sel. Areas Commun. 36 (5) (2018)
Anura P. Jayasumana, Randy C. Paffenroth, Gunjan Mahindre, Sridhar Ramasamy, Kelum Gajamannage
Network Topology Mapping from Partial Virtual Coordinates and Graph Geodesics. CoRR (2018)
Randy C. Paffenroth, Kathleen Kay, Les Servi
Robust PCA for Anomaly Detection in Cyber Networks. CoRR (2018)
Chong Zhou, Randy C. Paffenroth
Anomaly Detection with Robust Deep Autoencoders. KDD (2017)
Kelum Gajamannage, Randy C. Paffenroth, Erik M. Bollt
A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics. CoRR (2017)
Paulo Victor Rodrigues Ferreira, Randy C. Paffenroth, Alexander M. Wyglinski
Interactive Multiple Model Filter for Land-Mobile Satellite Communications at Ka-Band. IEEE Access 5 (2017)
Randy C. Paffenroth, Nan Li, Louis L. Scharf
Maximum likelihood identification of an information matrix under constraints in a corresponding graphical model. ACSSC (2016)
Vidarshana W. Bandara, Louis L. Scharf, Randy C. Paffenroth, Anura P. Jayasumana, Philip du Toit
Experimental recovery regions for robust PCA. Signal Process. 129 (2016)
Tyler Reese, Randy C. Paffenroth, Joseph D. Fehribach
Duality in Geometric Graphs: Vector Graphs, Kirchhoff Graphs and Maxwell Reciprocal Figures. Symmetry 8 (3) (2016)
Anura P. Jayasumana, Randy C. Paffenroth, Sridhar Ramasamy
Topology maps and distance-free localization from partial virtual coordinates for IoT networks. ICC (2016)
Randy C. Paffenroth, Xiangnan Kong
Python in Data Science Research and Education. SciPy (2015)
Randy C. Paffenroth, Philip du Toit, Ryan Nong, Louis Scharf, Anura P. Jayasumana, Vidarshana W. Bandara
Space-Time Signal Processing for Distributed Pattern Detection in Sensor Networks. IEEE J. Sel. Top. Signal Process. 7 (1) (2013)
Scott M. Lundberg, Randy C. Paffenroth, Jason Yosinski
Analysis of CBRN sensor fusion methods. FUSION (2010)
Oscar P. Bruno, Tim Elling, Randy C. Paffenroth, Catalin Turc
Electromagnetic integral equations requiring small numbers of Krylov-subspace iterations. J. Comput. Phys. 228 (17) (2009)
Eusebius J. Doedel, Volodymyr A. Romanov, Randy C. Paffenroth, Herbert B. Keller, D. J. Dichmann, Jorge Galán-Vioque, André Vanderbauwhede
Elemental Periodic orbits Associated with the libration Points in the Circular Restricted 3-Body Problem. Int. J. Bifurc. Chaos 17 (8) (2007)
Eusebius J. Doedel, Randy C. Paffenroth, Herbert B. Keller, D. J. Dichmann, Jorge Galán-Vioque, André Vanderbauwhede
Computation of Periodic Solutions of Conservative Systems with Application to the 3-body Problem. Int. J. Bifurc. Chaos 13 (6) (2003)
Kathleen A. Hoffman, Robert S. Manning, Randy C. Paffenroth
Calculation of the Stability Index in Parameter-Dependent Calculus of Variations Problems: Buckling of a Twisted Elastic Strut. SIAM J. Appl. Dyn. Syst. 1 (1) (2002)
Gábor Domokos, Randy C. Paffenroth
A Case Study on Visualization for Boundary Value Problems. IEEE Visualization (1994)