Govinda Surampudi
Govinda Surampudi
MS by Research, KCIS, CVIT, IIIT-H
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Resting state dynamics meets anatomical structure: temporal multiple kernel learning (tMKL) model
SG Surampudi, J Misra, G Deco, RS Bapi, A Sharma, D Roy
NeuroImage 184, 609-620, 2019
Multiple kernel learning model for relating structural and functional connectivity in the brain
SG Surampudi, S Naik, RB Surampudi, VK Jirsa, A Sharma, D Roy
Scientific reports 8 (1), 1-14, 2018
Hindi speech synthesis by concatenation of recognized hand written devnagri script using support vector machines classifier
S Farkya, G Surampudi, A Kothari
2015 International Conference on Communications and Signal Processing (ICCSP …, 2015
Speech signal processing using neural networks mapping the phonology of sanskrit language using neural networks
SG Surampudi, R Pal
2015 IEEE International Advance Computing Conference (IACC), 660-665, 2015
Temporal Multiple Kernel Learning (tMKL) model for predicting resting state FC via characterizing fMRI connectivity dynamics
SG Surampudi, J Misra, G Deco, RB Surampudi, A Sharma, D Roy
bioRxiv, 367276, 2018
Combining Multiscale Diffusion Kernels for Learning the Structural and Functional Brain Connectivity
SG Surampudi, S Naik, A Sharma, RS Bapi, D Roy
bioRxiv, 078766, 2016
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