Select Publications

Preprints

Chand S; Rajesh K; Chandra R, 2022, MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling Problem, http://arxiv.org/abs/2204.11162v1

Chandra R; Sharma YV, 2022, Surrogate-assisted distributed swarm optimisation for computationally expensive models, http://arxiv.org/abs/2201.06843v1

Chandra R; Bhagat A; Maharana M; Krivitsky PN, 2021, Bayesian graph convolutional neural networks via tempered MCMC

Chandra R; Jain M; Maharana M; Krivitsky PN, 2021, Revisiting Bayesian Autoencoders with MCMC

Shirmard H; Farahbakhsh E; Muller RD; Chandra R, 2021, A review of machine learning in processing remote sensing data for mineral exploration

Farahbakhsh E; Hezarkhani A; Eslamkish T; Bahroudi A; Chandra R, 2019, Three-dimensional weights of evidence modeling of a deep-seated porphyry Cu deposit

Chandra R; Azam D; Kapoor A; Müller RD, 2018, Surrogate-assisted Bayesian inversion for landscape and basin evolution models

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

Chandra R; Jain K; Kapoor A; Aman A, 2018, Surrogate-assisted parallel tempering for Bayesian neural learning

Chandra R; Jain K; Deo RV; Cripps S, 2018, Langevin-gradient parallel tempering for Bayesian neural learning

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

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

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

Chandra R; Azam D; Müller RD; Salles T; Cripps S, 2018, Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands

Deo RV; Chandra R; Sharma A, 2017, Stacked transfer learning for tropical cyclone intensity prediction

Chandra R; Ong Y-S; Goh C-K, 2017, Co-evolutionary multi-task learning for dynamic time series prediction

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

Reddy E; Kumar S; Rollings N; Chandra R, 2015, Mobile Application for Dengue Fever Monitoring and Tracking via GPS: Case Study for Fiji

Olierook HKH; Scalzo R; Kohn D; Chandra R; Farahbakhsh E; Houseman G; Clark C; Reddy SM; Müller RD, 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

Scalzo R; Kohn D; Olierook H; Houseman G; Chandra R; Girolami M; Cripps S, 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, Surrogate-assisted Bayesian inversion for landscape and basin evolution models, http://dx.doi.org/10.5194/gmd-2018-315


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