245 citations · 870 across the 16 of their papers we have counts for
4 papers · 1 filter
Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics Data
Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski +4
The integration of heterogeneous multi-omics datasets at a systems level remains a central challenge for developing analytical and computational models in precision cancer diagnost…
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
Fadi Alharbi, Aleksandar Vakanski
Cancer is a term that denotes a group of diseases caused by abnormal growth of cells that can spread in different parts of the body. According to the World Health Organization (WHO…
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises
Y. Liao, A. Vakanski, M. Xian
Computer-aided assessment of physical rehabilitation entails evaluation of patient performance in completing prescribed rehabilitation exercises, based on processing movement data…
Generative adversarial networks for generation and classification of physical rehabilitation movement episodes
L. Li, A. Vakanski
This article proposes a method for mathematical modeling of human movements related to patient exercise episodes performed during physical therapy sessions by using artificial neur…