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S. Gopakumar

3 papers hereh-index 6117 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ML3

identity via Semantic Scholar / OpenAlex

most citedAn evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments

7 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ML2016★ 1 cited

Stabilizing Linear Prediction Models using Autoencoder

Shivapratap Gopakumar, Truyen Tran, Dinh Phung +1

To date, the instability of prognostic predictors in a sparse high dimensional model, which hinders their clinical adoption, has received little attention. Stable prediction is oft…

stat.ML2016★ 7 cited

An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments

Thuong Nguyen, Truyen Tran, Shivapratap Gopakumar +2

Accurate prediction of suicide risk in mental health patients remains an open problem. Existing methods including clinician judgments have acceptable sensitivity, but yield many fa…

stat.ML2014★ 2 cited

Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records

Shivapratap Gopakumar, Truyen Tran, Dinh Phung +1

Stability in clinical prediction models is crucial for transferability between studies, yet has received little attention. The problem is paramount in high dimensional data which i…

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