82 citations · 112 across the 7 of their papers we have counts for
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cs.LG2023
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…
cs.LG2019★ 1 cited
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…
cs.LG2017★ 5 cited
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…