John Sheppard

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 20

Top Topics

Precision Agriculture

Top Venues

FLAIRS Conference

Publications

Amy Peerlinck, John Sheppard
Managing Objective Archives for Solution Set Reduction in Many-Objective Optimization. SSCI (2023)
Jordan Schupbach, Elliott Pryor, Kyle Webster, John Sheppard
A Risk-Based Approach to Prognostics and Health Management Combining Bayesian Networks and Continuous-Time Bayesian Networks. IEEE Instrum. Meas. Mag. 26 (5) (2023)
Kyle Webster, John Sheppard
Robust Spectral Based Compression of Hyperspectral Images using LSTM Autoencoders. IJCNN (2022)
Amy Peerlinck, John Sheppard
Addressing Sustainability in Precision Agriculture via Multi-Objective Factored Evolutionary Algorithms. MIC (2022)
Scott Wahl, John Sheppard
Approximate Orthogonal Spectral Autoencoders for Community Analysis in Social Networks. ICMLA (2022)
Amy Peerlinck, John Sheppard
Multi-Objective Factored Evolutionary Optimization and the Multi-Objective Knapsack Problem. CEC (2022)
Radek Hranický, Frank Breitinger, Ondrej Rysavý, John Sheppard, Florin Schaedler, Holger Morgenstern, Simon Malik
What do incident response practitioners need to know? A skillmap for the years ahead. Digit. Investig. (2021)
Elliott Pryor, Amy Peerlinck, John Sheppard
A Study in Overlapping Factor Decomposition for Cooperative Co-Evolution. SSCI (2021)
Giorgio Morales, John Sheppard, Riley Logan, Joseph A. Shaw
Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks. IJCNN (2021)
Na'Shea Wiesner, John Sheppard, Brian Haberman
Using Particle Swarm Optimization to Learn a Lane Change Model for Autonomous Vehicle Merging. SSCI (2021)
Na'Shea Wiesner, John Sheppard, Brian Haberman
Autonomous Vehicle Control Using Particle Swarm optimization in a Mixed Control Environment. SSCI (2020)
Amy Peerlinck, John Sheppard, Jacob J. Senecal
AdaBoost with Neural Networks for Yield and Protein Prediction in Precision Agriculture. IJCNN (2019)
Richard McAllister, John Sheppard
Exploring Transferability in Deep Neural Networks with Functional Data Analysis and Spatial Statistics. IJCNN (2019)
Benjamin Mitchell, John Sheppard
Spatially Biased Random Forests. FLAIRS Conference (2019)
Scott Wahl, John Sheppard, Elizabeth Shanahan
Legislative Vote Prediction using Campaign Donations and Fuzzy Hierarchical Communities. ICMLA (2019)
Amy Peerlinck, John Sheppard, Julie Pastorino, Bruce Maxwell
Optimal Design of Experiments for Precision Agriculture Using a Genetic Algorithm. CEC (2019)
Richard McAllister, John Sheppard
Evaluating Spatial Generalization of Stacked Autoencoders in Wind Vector Determination. FLAIRS Conference (2018)
Scott Wahl, John Sheppard
Association Rule Mining in Fuzzy Political Donor Communities. MLDM (2) (2018)
Scott Wahl, John Sheppard
Fuzzy Spectral Hierarchical Communities in Evolving Political Contribution Networks. FLAIRS Conference (2017)
Richard McAllister, John Sheppard
Deep learning for wind vector determination. SSCI (2017)
Scott Wahl, John Sheppard
Hierarchical Fuzzy Spectral Clustering in Social Networks using Spectral Characterization. FLAIRS Conference (2015)
Richard McAllister, John Sheppard
Taxonomic Dimensionality Reduction in Bayesian Text Classification. ICMLA (1) (2012)
Michael Waters, John Sheppard
Genetic programming and co-evolution with exogenous fitness in an artificial life environment. CEC (1999)