2023

• Ball, A., Zigman, J., Melkumyan, A., Chlingaryan, A., Silversides, K., Leung, R. (2023). Addressing Application Challenges with Large-Scale Geological Boundary Modelling. Geostatistics Toronto 2021, Switzerland: Springer Cham. [More Information]
• Chlingaryan, A., Leung, R., Melkumyan, A. (2023). Augmenting Stationary Covariance Functions with a Smoothness Hyperparameter and Improving Gaussian Process Regression Using a Structural Similarity Index. Mathematical Geosciences. [More Information]
• Leung, R., Hill, A., Melkumyan, A. (2023). Automation and Artificial Intelligence Technology in Surface Mining: A Brief Introduction to Open-Pit Operations in the Pilbara. IEEE Robotics and Automation Magazine. [More Information]
• Windrim, L., Melkumyan, A., Murphy, R., Chlingaryan, A., Leung, R. (2023). Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data. Geoscience Frontiers, 14(4). [More Information]

2022

• Khushaba, R., Melkumyan, A., Hill, A. (2022). A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data. Mathematical Geosciences, 54(2), 285-315. [More Information]
• Leung, R., Lowe, A., Chlingaryan, A., Melkumyan, A., Zigman, J. (2022). Bayesian surface warping approach for rectifying geological boundaries using displacement likelihood and evidence from geochemical assays. ACM Transactions on Spatial Algorithms and Systems, 8(1), 1-23. [More Information]
• Ball, A., Silversides, K., Chlingaryan, A., Melkumyan, A. (2022). Creating large scale probabilistic boundaries using Gaussian Processes. Expert Systems with Applications, 199. [More Information]
• Silversides, K., Melkumyan, A. (2022). Machine learning for classification of stratified geology from MWD data. Ore Geology Reviews, 142, 1-6. [More Information]

2021

• Silversides, K., Melkumyan, A. (2021). Automated probabilistic domain assignment to production blast hole assays. Application of Computers and Operations Research in the Mineral Industry (APCOM 2021), South Africa: South African Institute of Mining and Metallurgy.
• George, M., Silversides, K., Zigman, J., Melkumyan, A. (2021). Bedding Angle Identification from BIF Marker Shales via Modified Dynamic Time Warping. Mathematical Geosciences, 53(7), 1567-1585. [More Information]
• Silversides, K., Melkumyan, A. (2021). Boundary Identification and Surface Updates Using MWD. Mathematical Geosciences, 53(5), 1047-1071. [More Information]
• Balamurali, M., Melkumyan, A., Zigman, J. (2021). Factors Influencing Autonomously Generated 3D Geophysical Spatial Models. Application of Computers and Operations Research in the Mineral Industry (APCOM 2021), South Africa: South African Institute of Mining and Metallurgy. [More Information]
• Leung, R., Balamurali, M., Melkumyan, A. (2021). Sample Truncation Strategies for Outlier Removal in Geochemical Data: The MCD Robust Distance Approach Versus t-SNE Ensemble Clustering. Mathematical Geosciences, 53(1), 105-130. [More Information]

2020

• Balamurali, M., Melkumyan, A. (2020). Automated update of geological domains using blast-hole assays and minimum covariance determinant. Applied Earth Science: Transactions of the Institute of Mining and Metallurgy, 129(1), 9-14. [More Information]
• Silversides, K., Ball, A., Melkumyan, A. (2020). BIF-hosted deposit unit differentiation using multivariate Gaussian processes on measure while drilling data. Applied Earth Science: Transactions of the Institute of Mining and Metallurgy, 129(4), 164-175. [More Information]

2019

• Balamurali, M., Silversides, K., Melkumyan, A. (2019). A comparison of t-SNE, SOM and SPADE for identifying material type domains in geological data. Computers and Geosciences, 125, 78-89. [More Information]
• Schneider, S., Murphy, R., Melkumyan, A. (2019). A probabilistic framework for fusing classifications derived from multi-temporal hyperspectral imagery. 9th Workshop on Hyperspectral Image and Signal Processing:Evolution in Remote Sensing (Whispers 2018), : Springer Verlag.
• Silversides, K., Ball, A., Melkumyan, A. (2019). Geological unit identification from measure while drilling data with multistep uncertainty and continuity based post-processing. The 20th International Association for Mathematical Geosciences (IAMG 2019), Lawrence, Kansas: International Association of Mathematical Geosciences.
• Balamurali, M., Melkumyan, A., Zigman, J. (2019). Impact of geophysical data compositing on the resulting autonomously generated 3D spatial models. The 20th International Association for Mathematical Geosciences (IAMG 2019), Lawrence, Kansas: International Association of Mathematical Geosciences.
• Silversides, K., Melkumyan, A. (2019). Multivariate Gaussian process for distinguishing geological units using measure while drilling data. 39th International Symposium Application of Computers and Operations Research in the Mineral Industry (APCOM 2019), Leiden: CRC Press/Balkema. [More Information]
• Windrim, L., Ramakrishnan, R., Melkumyan, A., Murphy, R., Chlingaryan, A. (2019). Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders. Remote Sensing, 11(7), 1-19. [More Information]

2018

• Windrim, L., Ramakrishnan, R., Melkumyan, A., Murphy, R. (2018). A Physics-Based Deep Learning Approach to Shadow Invariant Representations of Hyperspectral Images. IEEE Transactions on Image Processing, 27(2), 665-677. [More Information]
• Schneider, S., Murphy, R., Melkumyan, A., Neshev,, D. (2018). A Probabilistic Framework for Fusing Classifications Derived from Multi-Temporal Hyperspectral Imagery. 9th Workshop on Hyperspectral Image and Signal Processing:Evolution in Remote Sensing (Whispers 2018), : Springer Verlag.
• Silversides, K., Melkumyan, A. (2018). Characterising Measure While Drilling data responses to changes in rock hardness. International Association for Mathematical Geosciences (IAMG 2018), Unkown.
• Balamurali, M., Silversides, K., Melkumyan, A. (2018). Comparing linear regression and Gaussian Processes approaches to approximate mineral group densities in an ore deposit. International Association for Mathematical Geosciences (IAMG 2018), Unkown.
• Balamurali, M., Melkumyan, A. (2018). Detection of Outliers in Geochemical Data Using Ensembles of Subsets of Variables. Mathematical Geosciences, 50(4), 369-380. [More Information]
• Balamurali, M., Melkumyan, A., Zigman, J. (2018). Impact of the neighbourhood selection strategy on autonomously generated 3D volumetric models. Australian Geoscience Council Convention (AGCC), Canberra: Geoscience Australia.
• Windrim, L., Melkumyan, A., Murphy, R., Chlingaryan, A., Ramakrishnan, R. (2018). Pretraining for Hyperspectral Convolutional Neural Network Classification. IEEE Transactions on Geoscience and Remote Sensing, 56(5), 2798-2810. [More Information]
• Silversides, K., Melkumyan, A. (2018). Separating neighbouring geological units within iron ore deposits using measure while drilling data. Australian Geoscience Council Convention (AGCC), Canberra: Geoscience Australia.
• Melkumyan, A., Silversides, K., Wyman, D., Hatherly, P. (2018). An active learning approach to boundary detection in natural gamma logs [SU21] IR7855. Patent No. 2013277928, 2013277928, 9,916,539 B2. .

2017

• Silversides, K., Melkumyan, A. (2017). Automatic analysis of measure while drilling data to facil-itate manual boundary updates. The 18th International Association for Mathematical Geosciences (IAMG). Springer Link.
• Balamurali, M., Melkumyan, A. (2017). Automatic detection of sub-domain using t-SNE for improved mine modelling. The 18th International Association for Mathematical Geosciences (IAMG). Springer Link.
• Windrim, L., Ramakrishnan, R., Melkumyan, A., Murphy, R. (2017). Hyperspectral CNN Classification with Limited Training Samples. 28th British Machine Vision Conference (BMVC) 2017, London: BMVC 2017 organisers. [More Information]
• Melkumyan, A., Innes, C., Nettleton, E., Durrant-Whyte, H. (2017). Ore Tracking [SU19]. Patent No. 2011320033, 2011320033, 2013/02165, 9678052, 2013/02165. , , South Africa, South Africa.
• Silversides, K., Melkumyan, A. (2017). Mineralogy identification through linear unmixing of blast hole geochemistry. Institution of Materials, Minerals and Mining. Transactions. Section B: Applied Earth Science, 126(4), 188-194. [More Information]
• Silversides, K., Melkumyan, A. (2017). Robust Library Building for Autonomous Classification of Downhole Geophysical Logs Using Gaussian Processes. Pure and Applied Geophysics, 174(3), 1255-1268. [More Information]
• Uezato, T., Murphy, R., Melkumyan, A., Chlingaryan, A. (2017). Spectral curve-based endmember extraction method. 7th Workshop on Hyperspectral Image and Signal Processing:Evolution in Remote Sensing (Whispers 2015), Tokyo: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2016

• Silversides, K., Melkumyan, A. (2016). A Dynamic Time Warping based covariance function for Gaussian Processes signature identification. Computers and Geosciences, 96, 69-76. [More Information]
• Jewbali, A., Melkumyan, A., Ramos, F. (2016). Method of Characterising a Resource [SR02]. Patent No. 2010262748, 9449351.
• Uezato, T., Murphy, R., Melkumyan, A., Chlingaryan, A. (2016). A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability within Endmember Classes. IEEE Transactions on Geoscience and Remote Sensing, 54(11), 6712-6731. [More Information]
• Uezato, T., Murphy, R., Melkumyan, A., Chlingaryan, A. (2016). A novel spectral unmixing method incorporating spectral variability within endmember classes. IEEE Transactions on Geoscience and Remote Sensing, 54(5), 2812-2831. [More Information]
• Chlingaryan, A., Melkumyan, A., Murphy, R., Schneider, S. (2016). Automated multi-class classification of remotely sensed hyperspectral imagery via Gaussian processes with a non-stationary covariance function. Mathematical Geosciences, 48(5), 537-558. [More Information]
• Silversides, K., Melkumyan, A., Wyman, D. (2016). Fusing Gaussian processes and dynamic time warping for improved natural gamma signal classification. Mathematical Geosciences, 48(2), 187-210. [More Information]
• Silversides, K., Melkumyan, A. (2016). Gaussian Processes based fusion of multiple data sources for automatic identification of geological boundaries in mining. 23rd International Conference on Neural Information Processing (ICONIP 2016), Cham: Springer. [More Information]
• Uezato, T., Murphy, R., Melkumyan, A., Chlingaryan, A. (2016). Incorporating Spatial Information and Endmember Variability into Unmixing Analyses to Improve Abundance Estimates. IEEE Transactions on Image Processing, 25(12), 5563-5575. [More Information]
• Silversides, K., Melkumyan, A. (2016). Output selection for Gaussian Processes classification in iron ore deposits. 35th International Geological Congress, Johannesburg: The Geological Society of South Africa.
• Balamurali, M., Melkumyan, A. (2016). t-SNE Based Visualisation and Clustering of Geological Domain. 23rd International Conference on Neural Information Processing (ICONIP 2016), Cham: Springer. [More Information]
• Windrim, L., Melkumyan, A., Murphy, R., Chlingaryan, A., Nieto, J. (2016). Unsupervised feature learning for illumination robustness. 23rd IEEE International Conference on Image Processing (ICIP 2016), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2015

• Melkumyan, A., Ramos, F. (2015). Multi-task GPs With Adoption For Each Individual Task [SU05]. Patent No. 2010201891, 7391, 7391. , Peru, Peru.
• Silversides, K., Melkumyan, A., Wyman, D., Hatherly, P. (2015). Automated recognition of stratigraphic marker shales from geophysical logs in iron ore deposits. Computers and Geosciences, 77, 118-125. [More Information]
• Chlingaryan, A., Melkumyan, A., Murphy, R. (2015). Classification of hyperspectral imagery using Gaussian Process with automated identification of the importance of information conveyed by different wavelengths. The 17th annual conference of the International Association for Mathematical Geosciences, Freiberg, Germany: International Association of Mathematical Geosciences.
• Murphy, R., Chlingaryan, A., Melkumyan, A. (2015). Gaussian processes for estimating wavelength position of the ferric iron crystal field feature at ~900 nm from hyperspectral imagery acquired in the short-wave infrared (1002-1355 nm). IEEE Transactions on Geoscience and Remote Sensing, 53(4), 1907-1920. [More Information]
• Silversides, K., Melkumyan, A. (2015). Integration of downhole data sources with different resolution for improved boundary detection. The 12th SEGJ International Symposium, Tokyo, Japan: Society of Exploration Geophysicists of Japan.
• Balamurali, M., Melkumyan, A. (2015). Multivariate outlier detection in geochemical data. The 17th annual conference of the International Association for Mathematical Geosciences, Freiberg, Germany: International Association of Mathematical Geosciences.

2014

• Melkumyan, A., Ramos, F. (2014). Exactly Sparse Gaussian Processes with a New Covariance Function [SU04]. Patent No. 8849622.
• Balamurali, M., Melkumyan, A. (2014). Automated identification of geological domains for exploration assays with ambiguous initial domain assignment in an iron ore deposit. Ninth International Mining Geology Conference 2014, Victoria, Australia: The Australasian Institute of Mining and Metallurgy.
• Silversides, K., Melkumyan, A. (2014). Comparison between Gaussian processes and dynamic time warping for classification of marker shales in iron ore deposits. Orebody Modelling and Strategic Mine Planning SMP 2014, Perth: The Australasian Institute of Mining and Metallurgy.
• Uezato, T., Murphy, R., Melkumyan, A., Chlingaryan, A., Schneider, S. (2014). Multiple endmember spectral unmixing within a multi-task framework. IEEE Geoscience and Remote Sensing Society (GRSS) and the Canadian Remote Sensing Society, Quebec: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2013

• Melkumyan, A., Ramos, F. (2013). A Method and System for Data Analysis and Synthesis [SU05] (USA). Patent No. 8438121.
• Murphy, R., Chlingaryan, A., Melkumyan, A. (2013). Predicting Wavelength Position of the Ferric Iron Absorption at -900 nm from Hyperspectral Data (1000-2500 nm). 36th APCOM Applications of Computers and Operations Research in the Mineral Industry, Porto Alegre, Brazil: Fundacao Luiz Englert.

2012

• Melkumyan, A., Hatherly, P., Zhou, C. (2012). Fusion of drill monitoring data with geological borehole assays. 12th ISRM International Congress on Rock Mechanics, London, United Kingdom: CRC Press. [More Information]
• Vasudevan, S., Melkumyan, A., Scheding, S. (2012). Information fusion in multi-task Gaussian process models. 2012 IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2012), New York: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Schneider, S., Melkumyan, A., Murphy, R., Nettleton, E. (2012). On the potential of hyperspectral data for robotics perception: Hyperspectral data fusion for building environmental models for autonomous mining. Robotics: Science and Systems VIII, Sydney, NSW, Australia: Robotics Science and Systems.

2011

• Innes, C., Nettleton, E., Melkumyan, A. (2011). A System for Ore Tracking in Autonomous Mining. 35th APCOM Symposium 2011, Carlton, Victoria: The Australasian Institute of Mining and Metallurgy.
• Schneider, S., Murphy, R., Melkumyan, A., Nettleton, E. (2011). Autonomous Mapping of Mine Face Geology Using Hyperspectral Data. 35th APCOM Symposium 2011, Carlton, Victoria: The Australasian Institute of Mining and Metallurgy.
• Silversides, K., Melkumyan, A., Hatherly, P., Wyman, D. (2011). Boundary classification for automated geological modelling. 35th APCOM Symposium 2011, Carlton, Victoria: The Australasian Institute of Mining and Metallurgy.
• Schneider, S., Melkumyan, A., Murphy, R., Nettleton, E. (2011). Classification of hyperspectral imagery using GPs and the OAD covariance function with automated endmember extraction. 2011 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2011), Los Alamitos, CA, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Silversides, K., Melkumyan, A., Wyman, D., Hatherly, P., Nettleton, E. (2011). Detection of Geological Structure using Gamma Logs for Autonomous Mining. IEEE International Conference on Robotics and Automation ICRA 2011, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Innes, C., Nettleton, E., Melkumyan, A. (2011). Estimation and tracking of excavated material in mining. 14th International Conference on Information Fusion, Chicago, USA: International Society on Information Fusion - ISIF.
• Silversides, K., Melkumyan, A., Wyman, D., Hatherly, P. (2011). Identification of shale and ore boundaries using gaussian processes. Iron Ore 2011, Australia: AusIMM.
• Melkumyan, A. (2011). Machine learning via Gaussian processes for solving differential and integral equations. Sixth M.I.T Conference on Computational Fluid and Solid Mechanics.
• Melkumyan, A., Ramos, F. (2011). Multi-kernel Gaussian processes. 22nd International Joint Conference on Artificial Intelligence, Menlo Park, California, USA: AAAI Press. [More Information]
• Melkumyan, A., Ramos, F. (2011). Non-Parametric Bayesian Learning for Resource Estimation in the Autonomous Mine. 35th APCOM Symposium 2011, Carlton, Victoria: The Australasian Institute of Mining and Metallurgy.

2010

• Ramos, F., Melkumyan, A. (2010). A Method and System of Data Modelling [SU04]. Patent No. 2010/00100. South Africa.
• Schneider, S., Melkumyan, A., Murphy, R., Nettleton, E. (2010). Gaussian Processes with OAD covariance function for hyperspectral data classification. 2010 22nd International Conference on Tools with Artificial Intelligence ICTAI10, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
• Melkumyan, A., Murphy, R. (2010). Spectral Domain Noise Suppression in Dual-Sensor Hyperspectral Imagery Using Gaussian Processes. ICONIP 2010 - 17th International Conference on Neural Information Processing, Germany: Springer. [More Information]

2009

• Melkumyan, A., Ramos, F. (2009). A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets. Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09), Menlo Park, California: AAAI Press.
• Melkumyan, A., Nettleton, E. (2009). An observation angle dependent nonstationary covariance function for gaussian process regression. Neural Information Processing,16th International Conference, ICONIP 2009, Germany: Springer. [More Information]
• Melkumyan, A., Mai, Y. (2009). Electroelastic gap waves between dissimilar piezoelectric materials in different classes of symmetry. International Journal of Solids and Structures, 46, 3760-3770. [More Information]
• Perera, L., Melkumyan, A., Nettleton, E. (2009). On the Linear and Nonlinear Observability Analysis of the SLAM Problem. IEEE International Conference on Mechatronics 2009, Spain: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2008

• Melkumyan, A., Mai, Y. (2008). Influence of imperfect bonding on interface waves guided by piezoelectric/piezomagnetic composites. Philosophical Magazine, 88(23), 2965-2977. [More Information]

2007

• Melkumyan, A. (2007). On acoustic and electric waves diffraction in piezoelectric medium by a permeable half-plane crack. Zeitschrift Fur Angewandte Mathematik Und Physik, 58(2), 330-349. [More Information]
• Melkumyan, A. (2007). On diffraction of acoustic and electric waves in piezoelectric medium by an absorbent half-plane electrode. International Journal of Solids and Structures, 44(11-12), 3811-3827. [More Information]
• Melkumyan, A. (2007). Twelve shear surface waves guided by lamped/free boundaries in magneto-electro-elastic materials. International Journal of Solids and Structures, 44(10), 3594-3599. [More Information]

2005

• Melkumyan, A. (2005). Comments on "Dynamic crack propagation in piezoelectric materials-Part I. Electrode solution" by Shaofan Li, Peter A. Mataga [J. Mech. Phys. Solids 44 (1996) 1799-1830]. Journal of the Mechanics and Physics of Solids, 53(8), 1918-1925. [More Information]
• Melkumyan, A. (2005). Comments on "Explicit transient solutions for a mode III crack subjected to dynamic concentrated loading in a piezoelectric material" by Yi-Shyong Ing, Mau-Jung Wang [Int. J. Solids Struct. 41 (2004) 3849-3864]. International Journal of Solids and Structures, 42(26), 6700-6704. [More Information]