Shounak Datta | DeepAI

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∙ 07/27/2023

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures

Initial hours of hospital admission impact clinical trajectory, but earl...

0 Yuanfang Ren, et al. ∙

∙ 04/07/2022

Interval Bound Propagationx2013aided Fewx002dshot Learning

Few-shot learning aims to transfer the knowledge acquired from training ...

0 Shounak Datta, et al. ∙

∙ 10/23/2020

Counterfactual Representation Learning with Balancing Weights

A key to causal inference with observational data is achieving balance i...

0 Serge Assaad, et al. ∙

∙ 10/15/2020

Double Robust Representation Learning for Counterfactual Prediction

Causal inference, or counterfactual prediction, is central to decision m...

11 Shuxi Zeng, et al. ∙

∙ 10/15/2020

RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure

Glaucoma is the leading cause of irreversible blindness in the world, af...

0 Shounak Datta, et al. ∙

∙ 08/26/2020

Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis

Indices quantifying the performance of classifiers under class-imbalance...

0 Sankha Subhra Mullick, et al. ∙

∙ 04/27/2020

Application of Deep Interpolation Network for Clustering of Physiologic Time Series

Background: During the early stages of hospital admission, clinicians mu...

6 Yanjun Li, et al. ∙

∙ 04/27/2020

Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications

Accurate prediction of postoperative complications can inform shared dec...

0 Benjamin Shickel, et al. ∙

∙ 10/28/2019

Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension

To test the hypothesis that accuracy, discrimination, and precision in p...

0 Shounak Datta, et al. ∙

∙ 03/22/2019

Generative Adversarial Minority Oversampling

Class imbalance is a long-standing problem relevant to a number of real-...

0 Sankha Subhra Mullick, et al. ∙

∙ 08/09/2018

Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach

Fuzzy clustering methods identify naturally occurring clusters in a data...

6 Avisek Gupta, et al. ∙

∙ 12/22/2017

Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts

The diversification (generating slightly varying separating discriminato...

0 Shounak Datta, et al. ∙

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