Anna Chlingaryan

According to our database, Anna Chlingaryan authored at least 14 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A deep learning model to forecast cattle heat stress.

Nicolas Harvey Chapman, Anna Chlingaryan, Peter C. Thomson, Sabrina Lomax, Md. Ashraful Islam, Amanda K. Doughty, Cameron E. F. Clark

Comput. Electron. Agric., August, 2023

Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data.

Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Raymond Leung

CoRR, 2023

2022

Bayesian Surface Warping Approach for Rectifying Geological Boundaries Using Displacement Likelihood and Evidence from Geochemical Assays.

Raymond Leung, Alexander Lowe, Anna Chlingaryan, Arman Melkumyan, John N. Zigman

ACM Trans. Spatial Algorithms Syst., 2022

Creating large scale probabilistic boundaries using Gaussian Processes.

Adrian Ball, Katherine L. Silversides, Anna Chlingaryan, Arman Melkumyan

Expert Syst. Appl., 2022

2019

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders.

Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan

Remote. Sens., 2019

2018

Pretraining for Hyperspectral Convolutional Neural Network Classification.

Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Rishi Ramakrishnan

IEEE Trans. Geosci. Remote. Sens., 2018

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review.

Anna Chlingaryan, Salah Sukkarieh, Brett Whelan

Comput. Electron. Agric., 2018

2016

Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates.

Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan

IEEE Trans. Image Process., 2016

A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes.

Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan

IEEE Trans. Geosci. Remote. Sens., 2016

A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes.

Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan

IEEE Trans. Geosci. Remote. Sens., 2016

Unsupervised feature learning for illumination robustness.

Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Juan I. Nieto

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Gaussian Processes for Estimating Wavelength Position of the Ferric Iron Crystal Field Feature at $\sim$ 900 nm From Hyperspectral Imagery Acquired in the Short-Wave Infrared (1002-1355 nm).

Richard J. Murphy, Anna Chlingaryan, Arman Melkumyan

IEEE Trans. Geosci. Remote. Sens., 2015

Spectral curve-based endmember extraction method.

Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan

Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

2014

Multiple endmember spectral unmixing within a multi-task framework.

Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan, Sven Schneider

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014