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Ratneel Deo
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Year
Langevin-gradient parallel tempering for Bayesian neural learning
R Chandra, K Jain, RV Deo, S Cripps
Neurocomputing 359, 315-326, 2019
402019
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
142017
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
92016
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
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
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
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, 2024
2024
ReefCoreSeg: A clustering-based framework for multi-source data fusion for segmentation of reef cores
R Deo, JM Webster, T Salles, R Chandra
IEEE Access, 2023
2023
Neural network methodologies for cyclone wind intensity and path prediction
RV Deo
The University of the South Pacific, 2017
2017
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Articles 1–10