Browse wiki

From ISLAB/CAISR
Fair representation learning of electronic health records
Keywords fair machine learning, bias, fairness  +
Level Master  +
OneLineSummary Fair representation learning of electronic health records  +
References Dullerud, N., Roth, K., Hamidieh, K., PapeDullerud, N., Roth, K., Hamidieh, K., Papernot, N. and Ghassemi, M., 2022. Is fairness only metric deep? evaluating and addressing subgroup gaps in deep metric learning. arXiv preprint arXiv:2203.12748. Reddy, C., Sharma, D., Mehri, S., Romero-Soriano, A., Shabanian, S. and Honari, S., 2021, June. Benchmarking bias mitigation algorithms in representation learning through fairness metrics. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1). Yuan, Y., Xun, G., Suo, Q., Jia, K. and Zhang, A., 2019. Wave2vec: Deep representation learning for clinical temporal data. Neurocomputing, 324, pp.31-42.poral data. Neurocomputing, 324, pp.31-42.
StudentProjectStatus Open  +
Supervisors Ali Amirahmadi + , Ece Calikus + , Kobra Etminani +
TimeFrame Fall 2022  +
Title Fair representation learning of electronic health records  +
Categories StudentProject  +
Modification dateThis property is a special property in this wiki. 3 October 2022 09:01:50  +
hide properties that link here 
  No properties link to this page.
 

 

Enter the name of the page to start browsing from.