By Associate Professor Rohitash Chandra

Preprints

Shirmard H; Farahbakhsh E; Muller RD; Chandra R, 2021, A review of machine learning in processing remote sensing data for mineral exploration, http://dx.doi.org/10.48550/arxiv.2103.07678

Chandra R; Bhagat A; Maharana M; Krivitsky PN, 2021, Bayesian graph convolutional neural networks via tempered MCMC, http://dx.doi.org/10.1109/ACCESS.2021.3111898

Chandra R; Krishna A, 2021, COVID-19 sentiment analysis via deep learning during the rise of novel cases, http://dx.doi.org/10.1371/journal.pone.0255615

Chandra R; Goyal S; Gupta R, 2021, Evaluation of deep learning models for multi-step ahead time series prediction, http://dx.doi.org/10.1109/ACCESS.2021.3085085

Farahbakhsh E; Hezarkhani A; Eslamkish T; Bahroudi A; Chandra R, 2020, Three-dimensional weights of evidence modeling of a deep-seated porphyry Cu deposit, http://dx.doi.org/10.48550/arxiv.1910.08162

Scalzo R; Kohn D; Olierook H; Houseman G; Chandra R; Girolami M; Cripps S, 2019, Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success, http://dx.doi.org/10.5194/gmd-2018-306

Chandra R; Azam D; Kapoor A; Mulller RD, 2019, Surrogate-assisted Bayesian inversion for landscape and basin evolution models, http://dx.doi.org/10.5194/gmd-2018-315

Olierook HKH; Scalzo R; Kohn D; Chandra R; Farahbakhsh E; Houseman G; Clark C; Reddy SM; Müller RD, 2019, Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models, http://dx.doi.org/10.5194/se-2019-4

Chandra R; Azam D; Kapoor A; Müller RD, 2018, Surrogate-assisted Bayesian inversion for landscape and basin evolution models, http://arxiv.org/abs/1812.08655v3

Scalzo R; Kohn D; Olierook H; Houseman G; Chandra R; Girolami M; Cripps S, 2018, Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success, http://arxiv.org/abs/1812.00318v1

Chandra R; Jain K; Kapoor A; Aman A, 2018, Surrogate-assisted parallel tempering for Bayesian neural learning, http://arxiv.org/abs/1811.08687v3

Chandra R; Jain K; Deo RV; Cripps S, 2018, Langevin-gradient parallel tempering for Bayesian neural learning, http://arxiv.org/abs/1811.04343v1

Farahbakhsh E; Chandra R; Olierook HKH; Scalzo R; Clark C; Reddy SM; Muller RD, 2018, Computer vision-based framework for extracting geological lineaments from optical remote sensing data, http://dx.doi.org/10.48550/arxiv.1810.02320

Pall J; Chandra R; Azam D; Salles T; Webster JM; Scalzo R; Cripps S, 2018, Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics, http://arxiv.org/abs/1808.02763v2

Chandra R; Müller RD; Azam D; Deo R; Butterworth N; Salles T; Cripps S, 2018, Multi-core parallel tempering Bayeslands for basin and landscape evolution, http://dx.doi.org/10.1029/2019GC008465

Chandra R; Azam D; Müller RD; Salles T; Cripps S, 2018, Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands, http://dx.doi.org/10.1016/j.cageo.2019.06.012

Deo RV; Chandra R; Sharma A, 2017, Stacked transfer learning for tropical cyclone intensity prediction, http://dx.doi.org/10.48550/arxiv.1708.06539

Chandra R; Ong Y-S; Goh C-K, 2017, Co-evolutionary multi-task learning for dynamic time series prediction, http://arxiv.org/abs/1703.01887v2

Chaudhry S; Chandra R, 2015, Design of a Mobile Face Recognition System for Visually Impaired Persons, http://dx.doi.org/10.48550/arxiv.1502.00756

Abel D; Gavidi B; Rollings N; Chandra R, 2015, Development of an Android Application for an Electronic Medical Record System in an Outpatient Environment for Healthcare in Fiji, http://dx.doi.org/10.48550/arxiv.1503.00810

Reddy E; Kumar S; Rollings N; Chandra R, 2015, Mobile Application for Dengue Fever Monitoring and Tracking via GPS: Case Study for Fiji, http://dx.doi.org/10.48550/arxiv.1503.00814

Kapoor A; Negi A; Marshall L; Chandra R, Cyclone Trajectory and Intensity Prediction with Uncertainty Quantification Using Variational Recurrent Neural Networks, http://dx.doi.org/10.2139/ssrn.4283622

Chandra R, Leadership and Management of Fijian Universities: An Academic Perspective From Australia, http://dx.doi.org/10.2139/ssrn.4369970

Chandra R, Science and Hinduism Share the Vision of a Quest for Truth, http://dx.doi.org/10.2139/ssrn.4685559

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