Search Results for author: Talayeh Razzaghi

Found 6 papers, 1 papers with code

Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations

no code implementations17 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.

Decision Making Federated Learning +1

Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods

no code implementations12 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.

BIG-bench Machine Learning Feature Importance +2

Algebraic multigrid support vector machines

1 code implementation16 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.

General Classification

Fast Multilevel Support Vector Machines

no code implementations13 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.

imbalanced classification

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