John Sheppard

28 papers A 1B 7C 2Misc 4Journal 4Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
MESD: Detecting and Mitigating Procedural Bias in Intersectional Groups.
CoRR
Gideon Popoola, John Sheppard
2026 J jnl
Procedural Fairness via Group Counterfactual Explanation.
CoRR
Gideon Popoola, John Sheppard
2025 — conf
Analyzing the Effects of Memetic Variations on Convergence in Overlapping Swarm Intelligence.
EvoApplications (2)
Nathan Patera, John Sheppard
2025 A conf
Ant Colony Optimization with Policy Gradients and Replay.
GECCO
William Jardee, John Sheppard
2025 J jnl
MicroNAS: An Automated Framework for Developing a Fall Detection System.
CoRR
Seyed Mojtaba Mohasel, John Sheppard, Lindsey K. Molina, Richard R. Neptune, Shane R. Wurdeman, Corey A. Pew
2023 J jnl
A Risk-Based Approach to Prognostics and Health Management Combining Bayesian Networks and Continuous-Time Bayesian Networks.
IEEE Instrum. Meas. Mag.
Jordan Schupbach, Elliott Pryor, Kyle Webster, John Sheppard
2023 — conf
Finding Potential Research Collaborations from Social Networks Derived from Topic Models.
BESC
Md Asaduzzaman Noor, John Sheppard, Jason A. Clark
2023 — conf
Managing Objective Archives for Solution Set Reduction in Many-Objective Optimization.
SSCI
Amy Peerlinck, John Sheppard
2022 — conf
Addressing Sustainability in Precision Agriculture via Multi-Objective Factored Evolutionary Algorithms.
MIC
Amy Peerlinck, John Sheppard
2022 C conf
Approximate Orthogonal Spectral Autoencoders for Community Analysis in Social Networks.
ICMLA
Scott Wahl, John Sheppard
2022 B conf
Multi-Objective Factored Evolutionary Optimization and the Multi-Objective Knapsack Problem.
CEC
Amy Peerlinck, John Sheppard
2022 B conf
Robust Spectral Based Compression of Hyperspectral Images using LSTM Autoencoders.
IJCNN
Kyle Webster, John Sheppard
2021 — conf
A Study in Overlapping Factor Decomposition for Cooperative Co-Evolution.
SSCI
Elliott Pryor, Amy Peerlinck, John Sheppard
2021 B conf
Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks.
IJCNN
Giorgio Morales, John Sheppard, Riley D. Logan, Joseph A. Shaw
2021 — conf
Using Particle Swarm Optimization to Learn a Lane Change Model for Autonomous Vehicle Merging.
SSCI
Na'Shea Wiesner, John Sheppard, Brian Haberman
2020 — conf
Autonomous Vehicle Control Using Particle Swarm optimization in a Mixed Control Environment.
SSCI
Na'Shea Wiesner, John Sheppard, Brian Haberman
2019 B conf
AdaBoost with Neural Networks for Yield and Protein Prediction in Precision Agriculture.
IJCNN
Amy Peerlinck, John Sheppard, Jacob J. Senecal
2019 B conf
Exploring Transferability in Deep Neural Networks with Functional Data Analysis and Spatial Statistics.
IJCNN
Richard McAllister, John Sheppard
2019 C conf
Legislative Vote Prediction using Campaign Donations and Fuzzy Hierarchical Communities.
ICMLA
Scott Wahl, John Sheppard, Elizabeth Shanahan
2019 B conf
Optimal Design of Experiments for Precision Agriculture Using a Genetic Algorithm.
CEC
Amy Peerlinck, John Sheppard, Julie Pastorino, Bruce D. Maxwell
2019 Misc conf
Spatially Biased Random Forests.
FLAIRS
Benjamin Mitchell, John Sheppard
2018 — conf
Association Rule Mining in Fuzzy Political Donor Communities.
MLDM (2)
Scott Wahl, John Sheppard
2018 Misc conf
Evaluating Spatial Generalization of Stacked Autoencoders in Wind Vector Determination.
FLAIRS
Richard McAllister, John Sheppard
2017 — conf
Deep learning for wind vector determination.
SSCI
Richard McAllister, John Sheppard
2017 Misc conf
Fuzzy Spectral Hierarchical Communities in Evolving Political Contribution Networks.
FLAIRS
Scott Wahl, John Sheppard
2015 Misc conf
Hierarchical Fuzzy Spectral Clustering in Social Networks using Spectral Characterization.
FLAIRS
Scott Wahl, John Sheppard
2012 — conf
Taxonomic Dimensionality Reduction in Bayesian Text Classification.
ICMLA (1)
Richard McAllister, John Sheppard
1999 B conf
Genetic programming and co-evolution with exogenous fitness in an artificial life environment.
CEC
Michael Waters, John Sheppard