3 citations · 3 across the 4 of their papers we have counts for
4 papers
Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
Umang Dobhal, Christina Garcia, Sozo Inoue
Diffusion models are increasingly being utilised to create synthetic tabular and time series data for privacy-preserving augmentation. Tabular Denoising Diffusion Probabilistic Mod…
Summary of the Unusual Activity Recognition Challenge for Developmental Disability Support
Christina Garcia, Nhat Tan Le, Taihei Fujioka +4
This paper presents an overview of the Recognize the Unseen: Unusual Behavior Recognition from Pose Data Challenge, hosted at ISAS 2025. The challenge aims to address the critical…
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…
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…