| 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 | 1329 | 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 | 69 | 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 | 50 | 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 | 43 | 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 | 33 | 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 | 14 | 2023 |
| Gaussian Processes for Estimating Wavelength Position of the Ferric Iron Crystal Field Feature at900 nm From Hyperspectral Imagery Acquired in the Short-Wave … 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 | 8 | 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 |
| 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 |
| 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 | 1 | 2023 |
Arman MelkumyanSenior Research Fellow and Orebody Knowledge Theme Leader, Rio Tinto Centre for MineVerified email at acfr.usyd.edu.au
