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Nicholas LaHaye
Nicholas LaHaye
Data Scientist, Jet Propulsion Laboratory, California Institute of Technology
Vahvistettu sähköpostiosoite verkkotunnuksessa jpl.nasa.gov
Nimike
Viittaukset
Viittaukset
Vuosi
Applications of supervised machine learning in autism spectrum disorder research: a review
KK Hyde, MN Novack, N LaHaye, C Parlett-Pelleriti, R Anden, DR Dixon, ...
Review Journal of Autism and Developmental Disorders 6, 128-146, 2019
1992019
Learning in the machine: To share or not to share?
J Ott, E Linstead, N LaHaye, P Baldi
Neural Networks 126, 235-249, 2020
212020
Multi-modal object tracking and image fusion with unsupervised deep learning
N LaHaye, J Ott, MJ Garay, HM El-Askary, E Linstead
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
152019
Assessing the vertical displacement of the grand Ethiopian renaissance dam during its filling using DInSAR technology and its potential acute consequences on the downstream …
H El-Askary, A Fawzy, R Thomas, W Li, N LaHaye, E Linstead, T Piechota, ...
Remote Sensing 13 (21), 4287, 2021
82021
Applications of Supervised Machine Learning in Autism Spectrum Disorder Research: a Review. Rev J Autism Dev Disord 6, 128–146 (2019)
K Hyde, MN Novack, N LaHaye
5
Scalable Hyperspectral Inversion with Uncertainty Quantification
L Hopkins, N LaHaye, J Kravitz, S Mauceri
AGU Fall Meeting Abstracts 2022, GC42D-0742, 2022
12022
Validation of Machine Learning Algorithms for Hyperspectral Inversion of Common Water Quality Indicators
J Kravitz, L Hopkins, N LaHaye, S Mauceri
AGU Fall Meeting Abstracts 2022, GC33C-02, 2022
12022
NASA's Prototype Spectral Water Inversion Processor and Emulator (SWIPE): Towards Global Coastal and Inland Water Quality and Algal Biodiversity Monitoring
J Kravitz, L Robertson-Lain, S Mauceri, L Hopkins, N LaHaye, T Norman, ...
AGU Fall Meeting Abstracts 2022, B22D-1469, 2022
12022
A quantitative validation of multi-modal image fusion and segmentation for object detection and tracking
N LaHaye, MJ Garay, BD Bue, H El-Askary, E Linstead
Remote Sensing 13 (12), 2364, 2021
12021
Pushing the limits of aquatic remote sensing: Synthetic data and deep learning for fast inverse emulation of a coupled water-atmosphere radiative transfer model
J Kravitz, LS Guild, L Lain, S Mauceri, N LaHaye, L Hopkins, IG Brosnan
2024 Ocean Sciences Meeting, 2024
2024
Securing Digital Twins for Earth Science Processes with Blockchains
N LaHaye, M Kantarcioglu, H Lee, Y Gel
AGU23, 2023
2023
3D Cloud Tomography using Multi-View Imaging by MISR+ MODIS/Terra, and Beyond: A New Approach based on Machine Learning, Large-Eddy Simulation, and a Custom Algorithmic …
AB Davis, L Forster, N LaHaye, S Mauceri, M Kurowski
AGU23, 2023
2023
Towards Operational 3D Cloud Tomography: Leveraging Machine Learning and Multi-Angle Passive Imaging
L Forster, N LaHaye, M Kurowski, S Mauceri, AB Davis
AGU23, 2023
2023
Automatic Smoke Plume and Wildfire Instance Tracking Across Multi-Sensor Scenes
N LaHaye, H Lee, M Garay, Z Guo, M Dixon, Y Chen, ...
IEEE IGARSS 2023, 2023
2023
Sentinel-6 Hydrology Measurements Capability Demonstration
JD Desjonqueres, N LaHaye, S Desai
2023 Ocean Surface Topography Science Team Meeting, 2023
2023
Toward Automated Multi-Sensor Wildfire and Smoke Plume Instance Tracking
N LaHaye, Y Chen, H Lee, MJ Garay, OV Kalashnikova, M Parashar, ...
AGU23, 2023
2023
Integration of Explainable AI (XAI) into SIT-FUSE for Improved Multi-Sensor Wildfire and Smoke Plume Segmentation
N Leet, N LaHaye, J Baijnath-Rodino
AGU23, 2023
2023
Using Machine Learning to Accelerate MCMC for the CARbon DAta-MOdel fraMework
N LaHaye, S Mauceri, AA Bloom
Fall Meeting 2022, 2022
2022
Opportunities and Challenges using Observations and Simulated Data for Machine-Learning-Based Retrievals of Water Quality
N LaHaye, L Hopkins, J Kravitz, S Mauceri
Fall Meeting 2022, 2022
2022
Identification of wildfires and smoke plumes using multi-sensor input and unsupervised and supervised machine learning for improved spatiotemporal coverage and facilitation of …
N LaHaye, K Yun, H Lee, A Goodman, K Gorski, M Garay, O Kalashnikova
AGU Fall Meeting Abstracts 2021, IN31A-09, 2021
2021
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Artikkelit 1–20