2 papers
cs.LG2026
Concept Drift Detection and Adaptive Retraining of Malware Classification Models
Christofer Washington Berruz Chungata, Martin Jurecek, Katerina Potika +2
Concept drift refers to changes over time in the statistical properties of data, as compared to the data that was used to train a learning model. Machine learning models for malwar…
cs.LG2026
GaLoRA: Parameter-Efficient Graph-Aware LLMs for Node Classification
Mayur Choudhary, Saptarshi Sengupta, Katerina Potika
The rapid rise of large language models (LLMs) and their ability to capture semantic relationships has led to their adoption in a wide range of applications. Text-attributed graphs…