Sandhya Tripathi

Orcid: 0000-0003-3992-2283

According to our database1, Sandhya Tripathi authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multi-view representation learning for tabular data integration using inter-feature relationships.
J. Biomed. Informatics, 2024

Contrastive learning: Big Data Foundations and Applications.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.
Trans. Mach. Learn. Res., 2023

2022
Algorithmic Bias in Machine Learning Based Delirium Prediction.
CoRR, 2022

Deep Learning to Jointly Schema Match, Impute, and Transform Databases.
CoRR, 2022

2021
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.
CoRR, 2021

2020
Equilibrium points and equilibrium sets of some itGI/M/1 queues.
Queueing Syst. Theory Appl., 2020

(Un)fairness in Post-operative Complication Prediction Models.
CoRR, 2020

GANs for learning from very high class conditional noisy labels.
CoRR, 2020

On Feature Interactions Identified by Shapley Values of Binary Classification Games.
CoRR, 2020

Interpretable feature subset selection: A Shapley value based approach.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Postoperative Mortality Prediction with and Without the Use of Intraoperative Features.
Proceedings of the AMIA 2020, 2020

Attribute Noise Robust Binary Classification (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Attribute noise robust binary classification.
CoRR, 2019

Cost Sensitive Learning in the Presence of Symmetric Label Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018
Scalable linear classifiers based on exponential loss function.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018


  Loading...