17 citations · 24 across the 4 of their papers we have counts for
6 papers
Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations
Elaheh Jafarigol, Theodore Trafalis, Talayeh Razzaghi +1
In the growing world of artificial intelligence, federated learning is a distributed learning framework enhanced to preserve the privacy of individuals' data. Federated learning la…
Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods
Samuel Li, Talayeh Razzaghi
In this work, we investigate the importance of ethnicity in colorectal cancer survivability prediction using machine learning techniques and the SEER cancer incidence database. We…
Engineering fast multilevel support vector machines
E. Sadrfaridpour, T. Razzaghi, I. Safro
The computational complexity of solving nonlinear support vector machine (SVM) is prohibitive on large-scale data. In particular, this issue becomes very sensitive when the data re…
Algebraic multigrid support vector machines
Ehsan Sadrfaridpour, Sandeep Jeereddy, Ken Kennedy +3
The support vector machine is a flexible optimization-based technique widely used for classification problems. In practice, its training part becomes computationally expensive on l…
Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values
Talayeh Razzaghi, Oleg Roderick, Ilya Safro +1
This work is motivated by the needs of predictive analytics on healthcare data as represented by Electronic Medical Records. Such data is invariably problematic: noisy, with missin…
Fast Imbalanced Classification of Healthcare Data with Missing Values
Talayeh Razzaghi, Oleg Roderick, Ilya Safro +1
In medical domain, data features often contain missing values. This can create serious bias in the predictive modeling. Typical standard data mining methods often produce poor perf…