Summary of Coda: a Cost-efficient Test-time Domain Adaptation Mechanism For Har, by Minghui Qiu (dsa et al.
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HARby Minghui Qiu, Yandao Huang, Lin Chen,…
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HARby Minghui Qiu, Yandao Huang, Lin Chen,…
Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognitionby Xiaozhou Ye, Kevin…
Generalized Relevance Learning Grassmann Quantizationby M. Mohammadi, M. Babai, M.H.F. WilkinsonFirst submitted to arxiv on:…
DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollersby Xiao Ma, Shengfeng He, Hezhe Qiao, Dong…
Knowledge Transfer across Multiple Principal Component Analysis Studiesby Zeyu Li, Kangxiang Qin, Yong He, Wang…
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Modelsby Luca Arrotta, Claudio Bettini, Gabriele Civitarese,…
Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HARby Lala Shakti…
From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognitionby Kimji N.…
Class-incremental Learning for Time Series: Benchmark and Evaluationby Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang…
MAGNETO: Edge AI for Human Activity Recognition – Privacy and Personalizationby Jingwei Zuo, George Arvanitakis,…