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Multi-View Representation Learning to Schema Match Databases
An applied problem facing all areas of data science is harmonizing data sources. Joining data from multiple origins with unmapped and …
Sandhya Tripathi, Bradley A Fritz, Mohamed Abdelhack, Michael S Avidan, Yixin Chen, Christopher R King
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Deep Learning to Jointly Schema Match, Impute, and Transform Databases
An applied problem facing all areas of data science is harmonizing data sources. Joining data from multiple origins with unmapped and …
Sandhya Tripathi, Bradley A Fritz, Mohamed Abdelhack, Michael S Avidan, Yixin Chen, Christopher R King
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(Un) fairness in Post-operative Complication Prediction Models
With the current ongoing debate about fairness, explainability and transparency of machine learning models, their application in …
Sandhya Tripathi, Bradley A Fritz, Mohamed Abdelhack, Michael S Avidan, Yixin Chen, Christopher R King
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GANs for learning from very high class conditional noisy labels
We use Generative Adversarial Networks (GANs) to design a class conditional label noise (CCN) robust scheme for binary classification. …
Sandhya Tripathi, N Hemachandra
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