Andrew A. S. Soltan

Orcid: 0000-0003-2391-5361

According to our database1, Andrew A. S. Soltan authored at least 10 papers between 2017 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Addressing label noise for electronic health records: insights from computer vision for tabular data.
BMC Medical Informatics Decis. Mak., December, 2024

Deep reinforcement learning for multi-class imbalanced training: applications in healthcare.
Mach. Learn., May, 2024

Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.
npj Digit. Medicine, 2024

Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning.
Nat. Mac. Intell., August, 2023

Privacy-Aware Early Detection of COVID-19 Through Adversarial Training.
IEEE J. Biomed. Health Informatics, March, 2023

An adversarial training framework for mitigating algorithmic biases in clinical machine learning.
npj Digit. Medicine, 2023

2022
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening.
npj Digit. Medicine, 2022

Deep Reinforcement Learning for Multi-class Imbalanced Training.
CoRR, 2022

2017
The difficult legacy of Turing's wager.
J. Comput. Neurosci., 2017


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