Zachary L. Langford

发表

Deep Transfer Learning With Field-Based Measurements for Large Area Classification

Jitendra Kumar, Forrest M. Hoffman, Zachary L. Langford, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets

Jitendra Kumar, Forrest M. Hoffman, Zachary L. Langford, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks

Jitendra Kumar, Forrest M. Hoffman, Colleen M. Iversen, 2019, Remote. Sens..

Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets

Jitendra Kumar, Forrest M. Hoffman, Colleen M. Iversen, 2016, Remote. Sens..

Multivariate Spatio-Temporal Clustering: A Framework for Integrating Disparate Data to Understand Network Representativeness and Scaling Up Sparse Ecosystem Measurements

Jitendra Kumar, William W. Hargrove, Forrest M. Hoffman, 2014 .

Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion

Jitendra Kumar, Forrest M. Hoffman, Zachary L. Langford, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Are the Dry Valleys Getting Wetter? A Preliminary Assessment of Wetness Across the Mcmurdo Dry Valleys Landscape

Zachary L. Langford, 2013 .

Spatio-Temporal Characterization of Arctic Landscapes Using Geospatial Analytics

Zachary L. Langford, 2017 .

Refining the Transit-timing and Photometric Analysis of TRAPPIST-1: Masses, Radii, Densities, Dynamics, and Ephemerides

Zachary L. Langford, E. Agol, A. Burdanov, 2020, The Planetary Science Journal.

Ensembles of unified crust and core equations of state in a nuclear-multimessenger astrophysics environment

Zachary L. Langford, L. Rivera, W. Newton, 2021, The European Physical Journal A.

Spatiotemporal dynamics of wetted soils across a polar desert landscape

Zachary L. Langford, M. Gooseff, D. Lampkin, 2014, Antarctic Science.

Computationally Tractable High-Fidelity Representation of Global Hydrol-ogy in ESMs via Machine Learning Approaches to Scale-Bridging

Nathan Collier, Jitendra Kumar, Robert Jacob, 2021 .

Refining the Transit-timing and Photometric Analysis of TRAPPIST-1: Masses, Radii, Densities, Dynamics, and Ephemerides

Zouhair Benkhaldoun, Brett M. Morris, Daniel Foreman-Mackey, 2020, The Planetary Science Journal.

A differentiable N-body code for transit timing and dynamical modeling – I. Algorithm and derivatives

Zachary L. Langford, E. Agol, David M. Hernandez, 2021, Monthly Notices of the Royal Astronomical Society.

Robust Signal Classification Using Siamese Networks

Zachary L. Langford, Matthew Vondal, Zachary Langford, 2019, WiseML@WiSec.

Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion

Zachary L. Langford, F. Hoffman, J. Kumar, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).