Seuraa
Ratneel Deo
Ratneel Deo
Post Doctoral Researcher
Vahvistettu sähköpostiosoite verkkotunnuksessa sydney.edu.au
Nimike
Viittaukset
Viittaukset
Vuosi
Langevin-gradient parallel tempering for Bayesian neural learning
R Chandra, K Jain, RV Deo, S Cripps
Neurocomputing 359, 315-326, 2019
482019
Multicore parallel tempering Bayeslands for basin and landscape evolution
R Chandra, RD Müller, D Azam, R Deo, N Butterworth, T Salles, S Cripps
Geochemistry, Geophysics, Geosystems 20 (11), 5082-5104, 2019
202019
Stacked transfer learning for tropical cyclone intensity prediction
RV Deo, R Chandra, A Sharma
arXiv preprint arXiv:1708.06539, 2017
152017
Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind-intensity prediction
R Deo, R Chandra
2016 International Joint Conference on Neural Networks (IJCNN), 489-496, 2016
102016
An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks
R Chandra, R Deo, CW Omlin
2016 International Joint Conference on Neural Networks (IJCNN), 4865-4872, 2016
52016
Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef
R Deo, CM John, C Zhang, K Whitton, T Salles, JM Webster, R Chandra
Scientific Data 11 (1), 957, 2024
42024
Deep learning techniques for noise annoyance detection: Results from an intensive workshop at the Alan Turing Institute
A Mitchell, E Brown, R Deo, Y Hou, J Kirton-Wingate, J Liang, ...
The Journal of the Acoustical Society of America 153 (3_supplement), A262-A262, 2023
42023
Multi-step-ahead cyclone intensity prediction with Bayesian neural networks
R Deo, R Chandra
PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019
42019
ReefCoreSeg: A Clustering-Based Framework for Multi-Source Data Fusion for Segmentation of Reef Drill Cores
R Deo, JM Webster, T Salles, R Chandra
IEEE Access 12, 12164-12180, 2023
32023
On the relationship of degree of separability with depth of evolution in decomposition for cooperative coevolution
R Chandra, R Deo, K Bali, A Sharma
2016 IEEE Congress on Evolutionary Computation (CEC), 4823-4830, 2016
32016
Compact Bayesian Neural Networks via pruned MCMC sampling
R Deo, S Sisson, JM Webster, R Chandra
arXiv preprint arXiv:2501.06962, 2025
2025
Neural network methodologies for cyclone wind intensity and path prediction
RV Deo
The University of the South Pacific, 2017
2017
A Quantitative Approach to Profile Classification for Beaches in Estuaries and Bays
MY Gazi, T Fellowes, R Deo, A Paula da Silva, L Perris, A Vila-Concejo
Available at SSRN 4837421, 0
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Artikkelit 1–13