Rohitash Chandra

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Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
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◀ ▶ joint publications with Ratneel Deo

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Publications

2024
[j52]
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Ratneel Deo, Jody M. Webster, Tristan Salles, Rohitash Chandra:
ReefCoreSeg: A Clustering-Based Framework for Multi-Source Data Fusion for Segmentation of Reef Drill Cores. IEEE Access 12: 12164-12180 (2024)
2019
[j17]
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  - journals/ijon/ChandraJDC19
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Rohitash Chandra, Konark Jain, Ratneel Vikash Deo, Sally Cripps:
Langevin-gradient parallel tempering for Bayesian neural learning. Neurocomputing 359: 315-326 (2019)
[c51]
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  - conf/pricai/DeoC19
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Ratneel Deo, Rohitash Chandra:
Multi-step-ahead Cyclone Intensity Prediction with Bayesian Neural Networks. PRICAI (2) 2019: 282-295
2018
[i15]
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  - journals/corr/abs-1806-10939
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Rohitash Chandra, R. Dietmar Müller, Ratneel Deo, Nathaniel Butterworth, Tristan Salles, Sally Cripps:
Multi-core parallel tempering Bayeslands for basin and landscape evolution. CoRR abs/1806.10939 (2018)
[i12]
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  - journals/corr/abs-1811-04343
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Rohitash Chandra, Konark Jain, Ratneel Vikash Deo, Sally Cripps:
Langevin-gradient parallel tempering for Bayesian neural learning. CoRR abs/1811.04343 (2018)
2017
[i5]
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  - journals/corr/abs-1708-06539
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Ratneel Vikash Deo, Rohitash Chandra, Anuraganand Sharma:
Stacked transfer learning for tropical cyclone intensity prediction. CoRR abs/1708.06539 (2017)
2016
[c35]
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  - conf/cec/ChandraDBS16
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Rohitash Chandra, Ratneel Deo, Kavitesh Bali, Anurag Sharma:
On the relationship of degree of separability with depth of evolution in decomposition for cooperative coevolution. CEC 2016: 4823-4830
[c30]
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  - conf/ijcnn/DeoC16
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Ratneel Deo, Rohitash Chandra:
Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind-intensity prediction. IJCNN 2016: 489-496
[c29]
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Rohitash Chandra, Ratneel Deo, Christian W. Omlin:
An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks. IJCNN 2016: 4865-4872

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