10 citations · 10 across the 2 of their papers we have counts for
4 papers
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…
Post-Hoc Understanding of Metaphor Processing in Decoder-Only Language Models via Conditional Scale Entropy
Lawhori Chakrabarti, Jennifer Johnson-Leung, Bert Baumgaertner +3
Metaphor requires a language model to resolve a token whose contextual meaning diverges from its basic literal sense. Understanding how transformer models organize this reinterpret…
GCSAM: Gradient Centralized Sharpness Aware Minimization
Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang +1
The generalization performance of deep neural networks (DNNs) is a critical factor in achieving robust model behavior on unseen data. Recent studies have highlighted the importance…
Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification
Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang +2
Multi-omics data is increasingly being utilized to advance computational methods for cancer classification. However, multi-omics data integration poses significant challenges due t…