| Langevin-gradient parallel tempering for Bayesian neural learning R Chandra, K Jain, RV Deo, S Cripps Neurocomputing 359, 315-326, 2019 | 40 | 2019 |
| 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 | 20 | 2019 |
| Stacked transfer learning for tropical cyclone intensity prediction RV Deo, R Chandra, A Sharma arXiv preprint arXiv:1708.06539, 2017 | 15 | 2017 |
| 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 | 9 | 2016 |
| 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 | 5 | 2016 |
| Multi-step-ahead cyclone intensity prediction with Bayesian neural networks R Deo, R Chandra PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 4 | 2019 |
| 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 | 3 | 2016 |
| 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 | 1 | 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 |
