On the relationship of degree of separability with depth of evolution in decomposition for cooperative coevolution. - Rohitash Chandra; Ratneel Deo; Kavitesh Bali; Anurag Sharma (CEC, 2016)

An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks. - Rohitash Chandra; Ratneel Deo; Christian W. Omlin (IJCNN, 2016)

Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind-intensity prediction. - Ratneel Deo; Rohitash Chandra (IJCNN, 2016)

Stacked transfer learning for tropical cyclone intensity prediction. - Ratneel Vikash Deo; Rohitash Chandra; Anuraganand Sharma (CoRR, 2017)

Multi-core parallel tempering Bayeslands for basin and landscape evolution. - Rohitash Chandra; R. Dietmar Müller; Ratneel Deo; Nathaniel Butterworth; Tristan Salles; Sally Cripps (CoRR, 2018)

Multi-step-ahead Cyclone Intensity Prediction with Bayesian Neural Networks. - Ratneel Deo; Rohitash Chandra (PRICAI (2), 2019)

Langevin-gradient parallel tempering for Bayesian neural learning. - Rohitash Chandra; Konark Jain; Ratneel Vikash Deo; Sally Cripps (Neurocomputing, 2019)

ReefCoreSeg: A Clustering-Based Framework for Multi-Source Data Fusion for Segmentation of Reef Drill Cores. - Ratneel Deo; Jody M. Webster; Tristan Salles; Rohitash Chandra (IEEE Access, 2024)

Compact Bayesian Neural Networks via pruned MCMC sampling. - Ratneel Deo; Scott A. Sisson; Jody M. Webster; Rohitash Chandra (CoRR, 2025)