Building Structure-Property Predictive Models Using Data Assimilation. - Hamse Y. Mussa; David John Lary; Robert C. Glen (CompLife, 2006)

Using probability distribution functions for satellite validation. - David John Lary; Leslie Lait (IEEE Trans. Geosci. Remote. Sens., 2006)

Autonomous Objectively Optimized Observing Systems. - David John Lary (IGARSS, 2007)

A Method to Determine the Spatial Resolution Required to Observe Air Quality From Space. - Christopher P. Loughner; David John Lary; Lynn C. Sparling; Ronald C. Cohen; Phil DeCola; William R. Stockwell (IEEE Trans. Geosci. Remote. Sens., 2007)

Machine Learning and Bias Correction of MODIS Aerosol Optical Depth. - David John Lary; Lorraine Remer; Devon MacNeill; Bryan Roscoe; Susan Paradise (IEEE Geosci. Remote. Sens. Lett., 2009)

Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing. - Nabin K. Malakar; David John Lary; A. Moore; Deniz Gençaga; Bryan Roscoe; Arif Albayrak; Jennifer C. Wei (CIDU, 2012)

Low Power Greenhouse Gas Sensors for Unmanned Aerial Vehicles. - Amir Khan; David Schaefer; Lei Tao; David J. Miller; Kang Sun; Mark A. Zondlo; William A. Harrison; Bryan Roscoe; David John Lary (Remote. Sens., 2012)

Holistics 3.0 for Health. - David John Lary; Steven H. Woolf; Fazlay Faruque; James P. LePage (ISPRS Int. J. Geo Inf., 2014)

The Ignite Distributed Collaborative Scientific Visualization System. - Sushil Bhojwani; Matthew Hemmings; Daniel Ingalls; Jens Lincke; Robert Krahn; David John Lary; Patrick C. McGeer; Glenn Ricart; Marko Röder; Yvonne Coady; Ulrike Stege (CloudCom, 2015)

The Ignite Distributed Collaborative Visualization System. - Sushil Bhojwani; Matt Hemmings; Dan Ingalls; Jens Lincke; Robert Krahn; David John Lary; Rick McGeer; Glenn Ricart; Marko Röder; Yvonne Coady; Ulrike Stege (SIGMETRICS Perform. Evaluation Rev., 2015)

The Ignite Distributed Collaborative Scientific Visualization System. - Matt Hemmings; Robert Krahn; David John Lary; Rick McGeer; Glenn Ricart; Marko Röder (The GENI Book, 2016)

Low-altitude Terrestrial Spectroscopy from a Pushbroom Sensor. - Juan-Pablo Ramirez-Paredes; David John Lary; Nicholas R. Gans (J. Field Robotics, 2016)

Opening Terahertz for Everyday Applications. - Kenneth K. O; Wooyeol Choi 001; Qian Zhong; Navneet Sharma; Yaming Zhang; Ruonan Han 001; Zeshan Ahmad; Dae Yeon Kim; Sandeep Kshattry; Ivan R. Medvedev; David John Lary; Hyun-Joo Nam; et al. (IEEE Commun. Mag., 2019)

Using Machine Learning for the Calibration of Airborne Particulate Sensors. - Lakitha O. H. Wijeratne; Daniel R. Kiv; Adam R. Aker; Shawhin Talebi; David John Lary (Sensors, 2020)

Cloud Detection Using an Ensemble of Pixel-Based Machine Learning Models Incorporating Unsupervised Classification. - Xiaohe Yu; David John Lary (Remote. Sens., 2021)

PM2.5 Modeling and Historical Reconstruction over the Continental USA Utilizing GOES-16 AOD. - Xiaohe Yu; David John Lary; Christopher S. Simmons (Remote. Sens., 2021)

Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning. - David John Lary; David Schaefer; John Waczak; Adam R. Aker; Aaron Barbosa; Lakitha O. H. Wijeratne; Shawhin Talebi; Bharana Fernando; John Sadler; Tatiana Lary; Matthew D. Lary (Sensors, 2021)

Machine Learning for Light Sensor Calibration. - Yichao Zhang 002; Lakitha O. H. Wijeratne; Shawhin Talebi; David John Lary (Sensors, 2021)

High Spatial-Temporal PM2.5 Modeling Utilizing Next Generation Weather Radar (NEXRAD) as a Supplementary Weather Source. - Xiaohe Yu; David John Lary; Christopher S. Simmons; Lakitha O. H. Wijeratne (Remote. Sens., 2022)

Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-Fine Scales. - Shawhin Talebi; David John Lary; Lakitha O. H. Wijeratne; Bharana Fernando; Tatiana Lary; Matthew D. Lary; John Sadler; Arjun Sridhar; John Waczak; Adam R. Aker; Yichao Zhang 002 (Sensors, 2022)

Data-Driven EEG Band Discovery with Decision Trees. - Shawhin Talebi; John Waczak; Bharana Fernando; Arjun Sridhar; David John Lary (Sensors, 2022)

Generative Simplex Mapping: Non-Linear Endmember Extraction and Spectral Unmixing for Hyperspectral Imagery. - John Waczak; David John Lary (Remote. Sens., 2024)

Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction. - John Waczak; Adam R. Aker; Lakitha O. H. Wijeratne; Shawhin Talebi; Ashen Fernando; Prabuddha M. H. Dewage; Mazhar Iqbal; Matthew D. Lary; David Schaefer; David John Lary (Remote. Sens., 2024)

Providing Fine Temporal and Spatial Resolution Analyses of Airborne Particulate Matter Utilizing Complimentary In Situ IoT Sensor Network and Remote Sensing Approaches. - Prabuddha M. H. Dewage; Lakitha O. H. Wijeratne; Xiaohe Yu; Mazhar Iqbal; Gokul Balagopal; John Waczak; Ashen Fernando; Matthew D. Lary; Shisir Ruwali; David John Lary (Remote. Sens., 2024)

Unsupervised Characterization of Water Composition with UAV-Based Hyperspectral Imaging and Generative Topographic Mapping. - John Waczak; Adam R. Aker; Lakitha O. H. Wijeratne; Shawhin Talebi; Ashen Fernando; Prabuddha M. H. Dewage; Mazhar Iqbal; Matthew D. Lary; David Schaefer; Gokul Balagopal; David John Lary (Remote. Sens., 2024)