Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review A Chlingaryan, S Sukkarieh, B Whelan
Computers and Electronics in Agriculture 151, 61-69, 2018
1409 2018 Pretraining for hyperspectral convolutional neural network classification L Windrim, A Melkumyan, RJ Murphy, A Chlingaryan, R Ramakrishnan
IEEE Transactions on Geoscience and Remote Sensing 56 (5), 2798-2810, 2018
71 2018 Unsupervised feature-learning for hyperspectral data with autoencoders L Windrim, R Ramakrishnan, A Melkumyan, RJ Murphy, A Chlingaryan
Remote Sensing 11 (7), 864, 2019
54 2019 A novel endmember bundle extraction and clustering approach for capturing spectral variability within endmember classes T Uezato, RJ Murphy, A Melkumyan, A Chlingaryan
IEEE Transactions on Geoscience and Remote Sensing 54 (11), 6712-6731, 2016
46 2016 A novel spectral unmixing method incorporating spectral variability within endmember classes T Uezato, RJ Murphy, A Melkumyan, A Chlingaryan
IEEE Transactions on Geoscience and Remote Sensing 54 (5), 2812-2831, 2015
38 2015 Quantifying leaf-scale variations in water absorption in lettuce from hyperspectral imagery: a laboratory study with implications for measuring leaf water content in the … RJ Murphy, B Whelan, A Chlingaryan, S Sukkarieh
Precision Agriculture 20, 767-787, 2019
35 2019 Incorporating spatial information and endmember variability into unmixing analyses to improve abundance estimates T Uezato, RJ Murphy, A Melkumyan, A Chlingaryan
IEEE Transactions on Image Processing 25 (12), 5563-5575, 2016
24 2016 Unsupervised feature learning for illumination robustness L Windrim, A Melkumyan, R Murphy, A Chlingaryan, J Nieto
2016 IEEE International Conference on Image Processing (ICIP), 4453-4457, 2016
17 2016 A deep learning model to forecast cattle heat stress NH Chapman, A Chlingaryan, PC Thomson, S Lomax, MA Islam, ...
Computers and Electronics in Agriculture 211, 107932, 2023
16 2023 Gaussian Processes for Estimating Wavelength Position of the Ferric Iron Crystal Field Feature at RJ Murphy, A Chlingaryan, A Melkumyan
IEEE Transactions on Geoscience and Remote Sensing 53 (4), 1907-1920, 2014
14 2014 Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data L Windrim, A Melkumyan, RJ Murphy, A Chlingaryan, R Leung
Geoscience Frontiers 14 (4), 101562, 2023
10 2023 Bayesian surface warping approach for rectifying geological boundaries using displacement likelihood and evidence from geochemical assays R Leung, A Lowe, A Chlingaryan, A Melkumyan, J Zigman
ACM Transactions on Spatial Algorithms and Systems (TSAS) 8 (1), 1-23, 2021
10 2021 Automated multi-class classification of remotely sensed hyperspectral imagery via Gaussian processes with a non-stationary covariance function A Chlingaryan, A Melkumyan, RJ Murphy, S Schneider
Mathematical Geosciences 48, 537-558, 2016
8 2016 Multiple endmember spectral unmixing within a multi-task framework T Uezato, RJ Murphy, A Melkumyan, A Chlingaryan, S Schneider
2014 IEEE Geoscience and Remote Sensing Symposium, 3454-3457, 2014
6 2014 Creating large scale probabilistic boundaries using Gaussian Processes A Ball, KL Silversides, A Chlingaryan, A Melkumyan
Expert Systems with Applications 199, 116959, 2022
4 2022 Hyperspectral imager method and apparatus RJ Murphy, A Melkumyan, A Chlingaryan, S Wishart, A Lowe, S Scheding
US Patent 11,125,619, 2021
3 2021 Estimating Material Properties DK Robinson, A Melkumyan, A Chlingaryan
US Patent App. 14/772,522, 2016
3 2016 Augmenting Stationary Covariance Functions with a Smoothness Hyperparameter and Improving Gaussian Process Regression Using a Structural Similarity Index A Chlingaryan, R Leung, A Melkumyan
Mathematical Geosciences, DOI: 10.1007/s11004-023-10095-5, 2023
2 2023 Automated multiclass classification of hyperspectral data using Gaussian Processes A Chlingaryan, A Melkumyan, RJ Murphy, S Schneider
Application of Computers and Operations Research in the Mineral Industry …, 2013
2 2013 The impact of rainfall on beef cattle growth across diverse climate zones FM Hasan, S Lomax, PC Thomson, MR Islam, A Chlingaryan, CEF Clark
animal, 101336, 2024
1 2024 
Arman MelkumyanSenior Research Fellow and Orebody Knowledge Theme Leader, Rio Tinto Centre for MineZweryfikowany adres z acfr.usyd.edu.au
