John W. Sheppard

According to our database1, John W. Sheppard authored at least 104 papers between 1988 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Evaluating Explanations of Convolutional Neural Network Image Classifications.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Quantifying Uncertainty in Neural Network Ensembles using U-Statistics.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enhancing Neural Networks with Locality-Sensitive Clustering of Internal Representations.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

SoK: exploring the state of the art and the future potential of artificial intelligence in digital forensic investigation.
Proceedings of the ARES 2020: The 15th International Conference on Availability, 2020

2019
Compact structures for continuous time Bayesian networks.
Int. J. Approx. Reason., 2019

Persistent homology for the automatic classification of prostate cancer aggressiveness in histopathology images.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

Using Winning Lottery Tickets in Transfer Learning for Convolutional Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Efficient Convolutional Neural Networks for Multi-Spectral Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

AdaBoost with Neural Networks for Yield and Protein Prediction in Precision Agriculture.
Proceedings of the International Joint Conference on Neural Networks, 2019

Exploring Transferability in Deep Neural Networks with Functional Data Analysis and Spatial Statistics.
Proceedings of the International Joint Conference on Neural Networks, 2019

Legislative Vote Prediction using Campaign Donations and Fuzzy Hierarchical Communities.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Using a genetic algorithm with histogram-based feature selection in hyperspectral image classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Spatially Biased Random Forests.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Optimal Design of Experiments for Precision Agriculture Using a Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Agent-Based Modeling of Retail Electrical Energy Markets With Demand Response.
IEEE Trans. Smart Grid, 2018

Multiple fault diagnosis using factored evolutionary algorithms.
IEEE Instrum. Meas. Mag., 2018

Cloud Investigations of Illegal IPTV Networks.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Association Rule Mining in Fuzzy Political Donor Communities.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Information sharing and conflict resolution in distributed factored evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Comparative performance and scaling of the pareto improving particle swarm optimization algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

An actor model implementation of distributed factored evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Evaluating Spatial Generalization of Stacked Autoencoders in Wind Vector Determination.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Pareto Improving Selection of the Global Best in Particle Swarm Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Factored Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2017

Factored performance functions and decision making in continuous time Bayesian networks.
J. Appl. Log., 2017

Disjunctive interaction in continuous time Bayesian networks.
Int. J. Approx. Reason., 2017

A formal approach to deriving factored evolutionary algorithm architectures.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Evaluating factored evolutionary algorithm performance on binary deceptive functions.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Deep learning for wind vector determination.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Convergence of Factored Evolutionary Algorithms.
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2017

Fuzzy Spectral Hierarchical Communities in Evolving Political Contribution Networks.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
Uncertain and negative evidence in continuous time Bayesian networks.
Int. J. Approx. Reason., 2016

MICPSO: A method for incorporating dependencies into discrete particle swarm optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Fast classifier learning under bounded computational resources using Partitioned Restricted Boltzmann Machines.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Assessing diffusion of spatial features in Deep Belief Networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A New Discrete Particle Swarm Optimization Algorithm.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Relaxing Consensus in Distributed Factored Evolutionary Algorithms.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

A Noisy-OR Model for Continuous Time Bayesian Networks.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Dynamic sampling in training artificial neural networks with overlapping swarm intelligence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A load profile management integrated power dispatch using a Newton-like particle swarm optimization method.
Sustain. Comput. Informatics Syst., 2015

Abductive inference in Bayesian networks using distributed overlapping swarm intelligence.
Soft Comput., 2015

Sensitivity Analysis of Continuous Time Bayesian Network Reliability Models.
SIAM/ASA J. Uncertain. Quantification, 2015

An AI-ESTATE conformant interface for net-centric diagnostic and prognostic reasoning.
IEEE Instrum. Meas. Mag., 2015

The Long-Run Behavior of Continuous Time Bayesian Networks.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

A Swarm-Based Approach to Learning Phase-Type Distributions for Continuous Time Bayesian Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Deep learning using partitioned data vectors.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Cross-Dataset Validation of Feature Sets in Musical Instrument Classification.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Parameter Estimation in Bayesian Networks Using Overlapping Swarm Intelligence.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Hierarchical Fuzzy Spectral Clustering in Social Networks using Spectral Characterization.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014
Inference Complexity in Continuous Time Bayesian Networks.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Communication-aware distributed PSO for dynamic robotic search.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Learning Bayesian classifiers using overlapping swarm intelligence.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Training Restricted Boltzmann Machines with Overlapping Partitions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Factored Performance Functions with Structural Representation in Continuous Time Bayesian Networks.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Clustering Spectral Filters for Extensible Feature Extraction in Musical Instrument Classification.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

2013
Classification of Musical Timbre Using Bayesian Networks.
Comput. Music. J., 2013

Bayesian abductive inference using overlapping swarm intelligence.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

Principal component analysis preprocessing with Bayesian networks for battery capacity estimation.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013

Cluster Analysis for Optimal Indexing.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Comparing Frequency- and Style-Based Features for Twitter Author Identification.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2012
Overlapping particle swarms for energy-efficient routing in sensor networks.
Wirel. Networks, 2012

Using machine learning to predict catastrophes in dynamical systems.
J. Comput. Appl. Math., 2012

Abductive inference in Bayesian belief networks using swarm intelligence.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

DOSI: Training artificial neural networks using overlapping swarm intelligence with local credit assignment.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Deep Structure Learning: Beyond Connectionist Approaches.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Taxonomic Dimensionality Reduction in Bayesian Text Classification.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Evolving Kernel Functions with Particle Swarms and Genetic Programming.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Automated Weather Sensor Quality Control.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2011
Overlapping swarm intelligence for training artificial neural networks.
Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011

Incorporating evidence into trust propagation models using Markov Random Fields.
Proceedings of the Ninth Annual IEEE International Conference on Pervasive Computing and Communications, 2011

Evolving Four-Part Harmony Using Genetic Algorithms.
Proceedings of the Applications of Evolutionary Computation, 2011

2009
Special Section on the 2007 IEEE AUTOTESTCON.
IEEE Trans. Instrum. Meas., 2009

Novel Classifier Fusion Approaches for Fault Diagnosis in Automotive Systems.
IEEE Trans. Instrum. Meas., 2009

Distributional Smoothing in Bayesian Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2009

2008
Image-based tracking with Particle Swarms and Probabilistic Data Association.
Proceedings of the 2008 IEEE Swarm Intelligence Symposium, 2008

2007
A Formal Analysis of Fault Diagnosis with <i>D</i>-matrices.
J. Electron. Test., 2007

Offline and Online Evolutionary Bi-Directional RRT Algorithms for Efficient Re-Planning in Dynamic Environments.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2007

2005
A Bayesian approach to diagnosis and prognosis using built-in test.
IEEE Trans. Instrum. Meas., 2005

The Use of Data Mining in the Implementation of a Network Intrusion Detection System.
Proceedings of the WEBIST 2005, 2005

2004
Multi-agent Simulation of Airline Travel Markets.
Proceedings of the Genetic and Evolutionary Computation, 2004

The Royal Road Not Taken: A Re-examination of the Reasons for GA Failure on R1.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
Textual CBR for Incident Report Retrieval.
Proceedings of the Computational Science and Its Applications, 2003

1998
Colearning in Differential Games.
Mach. Learn., 1998

A Behavior Model for Next Generation Test Systems.
J. Electron. Test., 1998

Managing Conflict in System Diagnosis.
Computer, 1998

Standard representations of diagnostic models.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997
A Teaching Strategy for Memory-Based Control.
Artif. Intell. Rev., 1997

Artificial Intelligence Exchange and Service Tie to All Test Environments (AI-ESTATE)-A New Standard for System Diagnostics.
Proceedings of the Proceedings IEEE International Test Conference 1997, 1997

1996
SCC20 attracts IEC participation.
IEEE Des. Test Comput., 1996

Improving the accuracy of diagnostics provided by fault dictionaries.
Proceedings of the 14th IEEE VLSI Test Symposium (VTS'96), April 28, 1996

Hardware-Software Co-Design for Test: It's the Last Straw!
Proceedings of the 14th IEEE VLSI Test Symposium (VTS'96), April 28, 1996

1995
Combining Genetic Algorithms with Memory Based Reasoning.
Proceedings of the 6th International Conference on Genetic Algorithms, 1995

1993
Fault Isolation in an Integrated Diagnostic Environment.
IEEE Des. Test Comput., 1993

Performing Effective Fault Isolation in Integrated Diagnostics.
IEEE Des. Test Comput., 1993

The Impact of Commercial Off-The-Shelf (COTS) Equipment on System Test and Diagnosis.
Proceedings of the Proceedings IEEE International Test Conference 1993, Designing, Testing, and Diagnostics, 1993

Testing Fully Testable Systems: A Case Study.
Proceedings of the Proceedings IEEE International Test Conference 1993, Designing, Testing, and Diagnostics, 1993

1992
System Testability Assessment for Integrated Diagnostics.
IEEE Des. Test Comput., 1992

Applying Testability Analysis for Integrated Diagnostics.
IEEE Des. Test Comput., 1992

System Perspective on Diagnostic Testing.
Proceedings of the Proceedings IEEE International Test Conference 1992, 1992

1991
System Complexity and Integrated Diagnostics.
IEEE Des. Test Comput., 1991

A Mathematical Model for Integrated Diagnostics.
IEEE Des. Test Comput., 1991

An Intelligent Approach to Automatic Test Equipment.
Proceedings of the Proceedings IEEE International Test Conference 1991, 1991

1990
Using a Competitive Learning Neural Network to Evaluate Software Complexity.
Proceedings of the 1990 ACM SIGSMALL/PC Symposium on Small Systems, 1990

1988
Functional path analysis: an approach to software verification.
Proceedings of the Sixteenth ACM Annual Conference on Computer Science, 1988


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