Author

Sriniwas Govinda Surampudi

International Institute of Information Technology, Hyderabad

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Dipanjan RoyiD· 2 shared Raju Surampudi BapiiD· 2 shared Avinash Kumar SharmaiD· 1 shared Avinash SharmaiD· 1 shared Gustavo DecoiD· 1 shared Joyneel MisraiD· 1 shared Shruti NaikiD· 1 shared

Activity by Year

2016-2018 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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2 shared papersNeuroscience

Dipanjan RoyORCID

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2 papers

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedSep 27, 2018

Temporal Multiple Kernel Learning (tMKL) model for predicting resting state FC via characterizing fMRI connectivity dynamics

Sriniwas Govinda Surampudi, Joyneel Misra, Gustavo Deco…·Dipanjan Roy

The paper introduces a temporal Multiple Kernel Learning model to predict resting-state functional connectivity by characterizing fMRI connectivity dynamics and shows improved performance over existing methods.

23 citations

humanimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintOct 2, 2016

Combining Multiscale Diffusion Kernels for Learning the Structural and Functional Brain Connectivity

Sriniwas Govinda Surampudi, Shruti Naik, Avinash Sharma…·Dipanjan Roy

This paper proposes a multiple diffusion kernel model to estimate brain functional connectivity from structural data across subjects, showing it outperforms single kernel approaches.

3 citations

humanstatistical model

𝕏 PostBluesky