Rohitash Chandra
Cited by
Cited by
Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction
R Chandra, M Zhang
Neurocomputing 86, 116-123, 2012
Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction
R Chandra
IEEE Transactions on Neural Networks and Learning Systems, 2015
Deep learning via LSTM models for COVID-19 infection forecasting in India
R Chandra, A Jain, DS Chauhan
PLOS One 17 (1), e0262708, 2022
Evaluation of deep learning models for multi-step ahead time series prediction
R Chandra, S Goyal, R Gupta
IEEE Access 9, 83105-83123, 2021
A review of machine learning in processing remote sensing data for mineral exploration
H Shirmard, E Farahbakhsh, D Muller, R Chandra
Remote Sensing of Environment 268, 112750, 2022
Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction
R Chandra, YS Ong, CK Goh
Neurocomputing 243, 21-34, 2017
COVID-19 sentiment analysis via deep learning during the rise of novel cases
R Chandra, A Krishna
PloS One 16 (8), e0255615, 2021
Evaluation of co-evolutionary neural network architectures for time series prediction with mobile application in finance
R Chandra, S Chand
Applied Soft Computing 49, 462-473, 2016
Computer vision-based framework for extracting geological lineaments from optical remote sensing data
E Farahbakhsh, R Chandra, HKH Olierook, R Scalzo, C Clark, SM Reddy, ...
International Journal of Remote Sensing, 2020
Evolutionary multi-task learning for modular training of feedforward neural networks
R Chandra, A Gupta, YS Ong, CK Goh
Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016
Co-evolutionary multi-task learning for dynamic time series prediction
R Chandra, YS Ong, CK Goh
Applied Soft Computing 70, 576-589, 2018
On the issue of separability for problem decomposition in cooperative neuro-evolution
R Chandra, M Frean, M Zhang
Neurocomputing 87, 33-40, 2012
Evolutionary multi-task learning for modular knowledge representation in neural networks
R Chandra, A Gupta, YS Ong, CK Goh
Neural Processing Letters 47 (3), 993-1009, 2018
Design of a mobile face recognition system for visually impaired persons
S Chaudhry, R Chandra
arXiv preprint arXiv:1502.00756, 2015
Integration of selective dimensionality reduction techniques for mineral exploration using ASTER satellite data
H Shirmard, E Farahbakhsh, A Beiranvand Pour, AM Muslim, RD Müller, ...
Remote Sensing 12 (8), 1261, 2020
Langevin-gradient parallel tempering for Bayesian neural learning
R Chandra, K Jain, RV Deo, S Cripps
Neurocomputing 359, 315-326, 2019
Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models
HKH Olierook, R Scalzo, D Kohn, R Chandra, E Farahbakhsh, ...
Geoscience Frontiers, 2021
Encoding subcomponents in cooperative co-evolutionary recurrent neural networks
R Chandra, M Frean, M Zhang, CW Omlin
Neurocomputing 74 (17), 3223-3234, 2011
Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic
R Chandra, Y He
PloS One 16 (7), e0253217, 2021
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown
A Tiwari, R Gupta, R Chandra
arXiv preprint arXiv:2102.10551, 2021
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