no code implementations • 17 Nov 2023 • Elaheh Jafarigol, Theodore Trafalis, Talayeh Razzaghi, Mona Zamankhani
In the growing world of artificial intelligence, federated learning is a distributed learning framework enhanced to preserve the privacy of individuals' data.
no code implementations • 12 Jan 2019 • Samuel Li, Talayeh Razzaghi
We compare model performances for 2-year survivability prediction and feature importance rankings between Hispanic, White, and mixed patient populations.
1 code implementation • 16 Nov 2016 • Ehsan Sadrfaridpour, Sandeep Jeereddy, Ken Kennedy, Andre Luckow, Talayeh Razzaghi, Ilya Safro
The support vector machine is a flexible optimization-based technique widely used for classification problems.
no code implementations • 7 Apr 2016 • Talayeh Razzaghi, Oleg Roderick, Ilya Safro, Nicholas Marko
This work is motivated by the needs of predictive analytics on healthcare data as represented by Electronic Medical Records.
no code implementations • 21 Mar 2015 • Talayeh Razzaghi, Oleg Roderick, Ilya Safro, Nick Marko
In medical domain, data features often contain missing values.
no code implementations • 13 Oct 2014 • Talayeh Razzaghi, Ilya Safro
Solving different types of optimization models (including parameters fitting) for support vector machines on large-scale training data is often an expensive computational task.