Randy C. Paffenroth
Orcid: 0000-0002-4823-1348Affiliations:
- Worcester Polytechnic Institute, MA, USA
- Numerica Corporation, Loveland, CO, USA (former)
- California Institute of Technology, Pasadena, CA, USA (former)
According to our database1,
Randy C. Paffenroth
authored at least 73 papers
between 1994 and 2023.
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Bibliography
2023
Dimensionally reduced machine learning model for predicting single component octanol-water partition coefficients.
J. Cheminformatics, December, 2023
Autoencoder Feature Residuals for Network Intrusion Detection: One-Class Pretraining for Improved Performance.
Mach. Learn. Knowl. Extr., June, 2023
ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensors.
CoRR, 2023
ChemVise: Maximizing Out-of-Distribution Chemical Detection with the Novel Application of Zero-Shot Learning.
CoRR, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
ChemVise: Maximizing Out-of-Distribution Chemical Detection with a Novel Application of Transfer Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Exploring Neural Network Structure through Sparse Recurrent Neural Networks: A Recasting and Distillation of Neural Network Hyperparameters.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
One-class Classification Using Autoencoder Feature Residuals for Improved IoT Network Intrusion Detection.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023
Graph Coordinates and Conventional Neural Networks - An Alternative for Graph Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2023
Enhancing Neural Network Performance for Problems in the Physical Sciences: Applications to Electromagnetic Signal Source Localization.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders.
Pattern Recognit., 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Autoencoder Feature Residuals for Network Intrusion Detection: Unsupervised Pre-training for Improved Performance.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
2021
The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes.
CoRR, 2021
Neural Network Ensembles: Theory, Training, and the Importance of Explicit Diversity.
CoRR, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Voxel-based Deep Learning for Image Super-resolution of Areal Density Maps of Carbon-nanotube Sheets.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Theory for Deep Learning Regression Ensembles with Application to Raman Spectroscopy Analysis.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Boosting gene expression clustering with system-wide biological information: a robust autoencoder approach.
Int. J. Comput. Biol. Drug Des., 2020
Understanding Deep Learning: Expected Spanning Dimension and Controlling the Flexibility of Neural Networks.
Frontiers Appl. Math. Stat., 2020
A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix.
CoRR, 2020
Inference in Social Networks from Ultra-Sparse Distance Measurements via Pretrained Hadamard Autoencoders.
Proceedings of the 45th IEEE Conference on Local Computer Networks, 2020
Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Dimension Estimation Using Autoencoders with Applications to Financial Market Analysis.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Joint Coding and Modulation in the Ultra-Short Blocklength Regime for Bernoulli-Gaussian Impulsive Noise Channels Using Autoencoders.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Reducing Reporting Burden of Healthcare Data Using Robust Principal Component Analysis.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
IEEE/ACM Trans. Netw., 2019
Pattern Recognit., 2019
Decis. Support Syst., 2019
Reinforcement Learning for Satellite Communications: From LEO to Deep Space Operations.
IEEE Commun. Mag., 2019
On Sampling and Recovery of Topology of Directed Social Networks - A Low-Rank Matrix Completion Based Approach.
Proceedings of the 44th IEEE Conference on Local Computer Networks, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Reconstruction of Agents' Corrupted Trajectories of Collective Motion Using Low-rank Matrix Completion.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
Multiobjective Reinforcement Learning for Cognitive Satellite Communications Using Deep Neural Network Ensembles.
IEEE J. Sel. Areas Commun., 2018
Comput. Chem. Eng., 2018
Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018
2017
Interactive Multiple Model Filter for Land-Mobile Satellite Communications at Ka-Band.
IEEE Access, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
2016
Duality in Geometric Graphs: Vector Graphs, Kirchhoff Graphs and Maxwell Reciprocal Figures.
Symmetry, 2016
Topology maps and distance-free localization from partial virtual coordinates for IoT networks.
Proceedings of the 2016 IEEE International Conference on Communications, 2016
Maximum likelihood identification of an information matrix under constraints in a corresponding graphical model.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Proceedings of the 14th Python in Science Conference 2015 (SciPy 2015), Austin, Texas, July 6, 2015
2013
IEEE J. Sel. Top. Signal Process., 2013
2010
Proceedings of the 13th Conference on Information Fusion, 2010
2009
Electromagnetic integral equations requiring small numbers of Krylov-subspace iterations.
J. Comput. Phys., 2009
2007
Elemental Periodic orbits Associated with the libration Points in the Circular Restricted 3-Body Problem.
Int. J. Bifurc. Chaos, 2007
2003
Computation of Periodic Solutions of Conservative Systems with Application to the 3-body Problem.
Int. J. Bifurc. Chaos, 2003
2002
Calculation of the Stability Index in Parameter-Dependent Calculus of Variations Problems: Buckling of a Twisted Elastic Strut.
SIAM J. Appl. Dyn. Syst., 2002
1994
Proceedings of the 5th IEEE Visualization Conference, 1994