Randy C. Paffenroth

Orcid: 0000-0002-4823-1348

Affiliations:
  • 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 75 papers between 1994 and 2024.

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Bibliography

2024
Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity.
CoRR, 2024

An Example of Synthetic Data Generation for Control Systems Using Generative Adversarial Networks: Zermelo Minimum-Time Navigation.
Proceedings of the American Control Conference, 2024

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

Sequentia12D: Organizing Center of Skip Connections for Transformers.
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

Conditioned Cycles in Sparse Data Domains: Applications to Electromagnetics.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Overwater Emitter Localization with a Single Receiver using Neural Network Modeling.
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

ACGANs Improve Chemical Sensors for Challenging Distributions.
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

Improving Network Intrusion Detection Using Autoencoder Feature Residuals.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

Cycles Improve Conditional Generators: Synthesis and Augmentation for Data Mining.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Ensemble Image Super-Resolution CNNs for Small Data and Diverse Compressive Models.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021
Bounded manifold completion.
Pattern Recognit., 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

Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders.
CoRR, 2021

Machine Learning in LiDAR 3D point clouds.
CoRR, 2021

Deep Learning for Range Localization via Over-Water Electromagnetic Signals.
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

Classification frameworks comparison on 3D point clouds.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

A Pre-training Oracle for Predicting Distances in Social Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Dimension Estimation using Second Order data in Finance.
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

Ensemble CNN in Transform Domains for Image Super-resolution from Small Data Sets.
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

Anomaly Detection in Exchange Traded Funds.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Maneuvering Target Tracking using the Autoencoder-Interacting Multiple Model Filter.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Network Topology Mapping From Partial Virtual Coordinates and Graph Geodesics.
IEEE/ACM Trans. Netw., 2019

A nonlinear dimensionality reduction framework using smooth geodesics.
Pattern Recognit., 2019

Detecting task demand via an eye tracking machine learning system.
Decis. Support Syst., 2019

Dimension Estimation Using Autoencoders.
CoRR, 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

Deep Learning with Domain Randomization for Optimal Filtering.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Parameter Continuation Methods for the Optimization of Deep Neural Networks.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Optimal Ensembles for Deep Learning Classification: Theory and Practice.
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

Dimenslon Estlmatlon of Equlty Markets.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

The Autoencoder-Kalman Filter: Theory and Practice.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Deep Kernel Coherence Encoder.
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

Anomaly Detection via Graphical Lasso.
CoRR, 2018

Robust PCA for Anomaly Detection in Cyber Networks.
CoRR, 2018

Random Forests for mapping and analysis of microkinetics models.
Comput. Chem. Eng., 2018

Permutation-Invariant Consensus over Crowdsourced Labels.
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

Anomaly Detection with Robust Deep Autoencoders.
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

Experimental recovery regions for robust PCA.
Signal Process., 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
Python in Data Science Research and Education.
Proceedings of the 14th Python in Science Conference 2015 (SciPy 2015), Austin, Texas, July 6, 2015

2013
Space-Time Signal Processing for Distributed Pattern Detection in Sensor Networks.
IEEE J. Sel. Top. Signal Process., 2013

2010
Analysis of CBRN sensor fusion methods.
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
A Case Study on Visualization for Boundary Value Problems.
Proceedings of the 5th IEEE Visualization Conference, 1994


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