3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2026
LLM-Guided Exemplar Selection for Few-Shot Wearable-Sensor Human Activity Recognition
Elsen Ronando, Sozo Inoue
In this paper, we propose an LLM-Guided Exemplar Selection framework to address a key limitation in state-of-the-art Human Activity Recognition (HAR) methods: their reliance on lar…
cs.CL2025★ 3 cited
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection
Elsen Ronando, Sozo Inoue
In this paper, we propose a novel few-shot optimization with HED-LM (Hybrid Euclidean Distance with Large Language Models) to improve example selection for sensor-based classificat…
cs.DS2015★ 1 cited
Comparison Issues in Large Graphs: State of the Art and Future Directions
Hamida Seba, Sofiane Lagraa, Elsen Ronando
Graph comparison is fundamentally important for many applications such as the analysis of social networks and biological data and has been a significant research area in the patter…