Online Resources:
Machine Learning Classification Visualizations
LDA, QDA, and Logistic Regression
Africa Food Security Map (with Jade Preston)
Recent Publications:
2024 (Preprint, Submitted to IEEE-WHISPERS 2024) An Interpretable Neural Network for Vegetation Phenotyping with Visualization of Species-Based Spectral Activation Maps
2024 (Preprint, Submitted to IEEE-WHISPERS 2024) Analysis of Vegetation Chemistry Using Feature Selection and Machine Learning Methods on Hyperspectral Images
2024 (Preprint, Submitted to IEEE-WHISPERS 2024) Theoretical and Practical Progress in Hyperspectral Pixel Unmixing with Large Spectral Libraries from a Sparse Perspective
2024 (Preprint) Evaluation of Collapse Scenarios on Easter Island using Approximate Bayesian Computation
2024 (Preprint) Understanding Deep Learning using Topological Dynamical Systems, Index Theory, and Homology
2023 (Published in IEEE-WHISPERS 2023) Ongoing Collection of Hyperspectral, Lidar, and Growth Stage Fundamental Signatures for Vegetation Phenotyping and Large Scale Urban Planning
2023 (Published in IEEE-WHISPERS 2023) Bayesian Gaussian Process for Correcting Artifacts from Atmospheric Correction and Sensor Noise - A Performance Evaluation
2023 (Published in IEEE-WHISPERS 2023) Modeling Uncertainty in Hyperspectral Image Classification Using Neural Networks with Bayesian Monte Carlo Dropout
2022 (Published in IEEE-WHISPERS 2022) Gaussian Process Atmospheric Compensation
2022 (Published in IEEE-WHISPERS 2022) Target Identification and Bayesian Model Averaging with Probabilistic Hierarchical Factor Probabilities
2022 (Published in IEEE-WHISPERS 2022) Classifying Crop Types using Gaussian Bayesian Models and Neural Networks on GHISACONUS USGS data from NASA Hyperspectral Satellite Imagery
2022 (Published in IEEE-WHISPERS 2022) Neural Network Learning of Chemical Bond Representations in Spectral Indices and Features
2022 (Published in IEEE-WHISPERS 2022) Deep Learning of Radiative Atmospheric Transfer with an Autoencoder
