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Deo, Ratneel
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1

ReefCoreSeg: A Clustering-Based Framework for Multi-Source ..:

Deo, Ratneel ; Webster, Jody M. ; Salles, Tristan.
IEEE Access.  12 (2024)  - p. 12164-12180 , 2024
Link: https://doi.org/10.1109/..
 
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2

Multicore Parallel Tempering Bayeslands for Basin and Lands..:

Chandra, Rohitash ; Müller, R. Dietmar ; Azam, Danial...
Geochemistry, Geophysics, Geosystems.  20 (2019)  11 - p. 5082-5104 , 2019
Link: https://doi.org/10.1029/..
 
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3

Multi-step-ahead Cyclone Intensity Prediction with Bayesian..:

, In: PRICAI 2019: Trends in Artificial Intelligence; Lecture Notes in Computer Science,
Deo, Ratneel ; Chandra, Rohitash - p. 282-295 , 2019
Link: https://doi.org/10.1007/..
 
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4

Langevin-gradient parallel tempering for Bayesian neural le..:

Chandra, Rohitash ; Jain, Konark ; Deo, Ratneel V..
Neurocomputing.  359 (2019)  - p. 315-326 , 2019
Link: https://doi.org/10.1016/..
 
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5

Multi-core parallel tempering Bayeslands for basin and land..:

Chandra, Rohitash ; Müller, R. Dietmar ; Azam, Danial...
http://arxiv.org/abs/1806.10939.  , 2018
Link: http://arxiv.org/abs/180..
 
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6

An architecture for encoding two - dimensional cyclone trac..:

Chandra, R ; Deo, Ratneel ; Omlin, C.W
http://repository.usp.ac.fj/9547/1/paper.pdf.  , 2016
Link: http://repository.usp.ac..
 
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7

On the relationship of degree of separability with depth of..:

Chandra, Rohitash ; Deo, Ratneel ; Bali, Kavitesh.
http://repository.usp.ac.fj/9546/1/cecpaper.pdf.  , 2016
Link: http://repository.usp.ac..
 
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8

Langevin-gradient parallel tempering for Bayesian neural le..:

Chandra, Rohitash ; Jain, Konark ; Deo, Ratneel V.
http://arxiv.org/abs/1811.04343.  , 2018
Link: http://arxiv.org/abs/181..
 
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9

Stacked transfer learning for tropical cyclone intensity pr..:

Deo, Ratneel Vikash ; Chandra, Rohitash ; Sharma, Anuraganand
http://arxiv.org/abs/1708.06539.  , 2017
Link: http://arxiv.org/abs/170..
 
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10

ReefCoreSeg: A Clustering-Based Framework for Multi-Source ..:

Ratneel Deo ; Jody M. Webster ; Tristan Salles.
https://ieeexplore.ieee.org/document/10352143/.  , 2024
Link: https://doi.org/10.1109/..
 
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