Booming and Crashing Populations and Easter Island. - Bill Basener; David S. Ross (SIAM J. Appl. Math., 2004)

The Brouwer Fixed Point Theorem applied to rumour transmission. - William Basener; Bernard P. Brooks; David S. Ross (Appl. Math. Lett., 2006)

Spectral image complexity estimated through local convex hull volume. - David W. Messinger; Amanda Ziemann; Ariel Schlamm; Bill Basener (WHISPERS, 2010)

Interest segmentation of hyperspectral imagery. - Ariel Schlamm; David W. Messinger; William Basener (WHISPERS, 2010)

A detection-identification process with geometric target detection and subpixel spectral visualization. - Bill Basener; Ariel Schlamm; David W. Messinger; Emmett J. Ientilucci (WHISPERS, 2011)

Spatially Adaptive Hyperspectral Unmixing. - Kelly Canham; Ariel Schlamm; Amanda Ziemann; Bill Basener; David W. Messinger (IEEE Trans. Geosci. Remote. Sens., 2011)

Interest Segmentation of Large Area Spectral Imagery for Analyst Assistance. - Ariel Schlamm; David W. Messinger; William Basener (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Target Identification and Bayesian Model Averaging with Probabilistic Hierarchical Factor Probabilities. - Bill Basener (WHISPERS, 2022)

Classifying Crop Types Using Gaussian Bayesian Models and Neural Networks on Ghisaconus USGS Data from NASA Hyperspectral Satellite Imagery. - Bill Basener (WHISPERS, 2022)

Neural Network Learning Of Chemical Bond Representations In Spectral Indices And Features. - Bill Basener (WHISPERS, 2022)

Deep Learning Of Radiative Atmospheric Transfer With An Autoencoder. - Abigail Basener; Bill Basener (WHISPERS, 2022)

A Dynamical Systems Algorithm for Clustering in Hyperspectral Imagery. - William Basener; Alexey Castrodad; David W. Messinger; Jennifer Mahle; Paul Prue (CoRR, 2022)

Understanding Deep Learning using Topological Dynamical Systems, Index Theory, and Homology. - Bill Basener (CoRR, 2022)

Bayesian Gaussian Process for Correcting Artifacts from Atmospheric Correction and Sensor Noise - A Performance Evaluation. - William Basener; Wesley Basener (WHISPERS, 2023)

Ongoing Collection of Hyperspectral, Lidar, and Growth Stage Fundamental Signatures for Vegetation Phenotyping and Large Scale Urban Planning. - William Basener; Jade Preston; Meesun Yang; Michael Luegering (WHISPERS, 2023)

Modeling Uncertainty in Hyperspectral Image Classification Using Neural Networks with Bayesian Monte Carlo Dropout. - Jade Preston; William Basener (WHISPERS, 2023)

Predicting Food Insecurity in Africa From Modis Imagery, Demographics, Economic Factors, Climate, and Supply Chain Information. - Jade Preston; William Basener (WHISPERS, 2023)

Analysis of Spectral Library Variation Using Manifold Learning. - Meesun Yang; William Basener (WHISPERS, 2023)

Gaussian Process and Deep Learning Atmospheric Correction. - Bill Basener; Abigail Basener (Remote. Sens., 2023)

An Interpretable Neural Network for Vegetation Phenotyping with Visualization of Trait-Based Spectral Features. - William Basener; Abigail Basener; Michael Luegering (WHISPERS, 2024)

Theoretical and Practical Progress in Hyperspectral Pixel Unmixing with Large Spectral Libraries from a Sparse Perspective. - Jade Preston; William Basener (WHISPERS, 2024)

Analysis of Vegetation Chemistry Using Feature Selection and Learning Methods on Hyperspectral Images. - Meesun Yang; William Basener (WHISPERS, 2024)