Imagen de Portada

Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ge, Wen, Mou, Guanyi, Agu, Emmanuel O., Lee, Kyumin
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition
por: Ge, Wen, et al.
Publicado: (2024)

Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition
por: Ge, Wen, et al.
Publicado: (2024)

Contrastive Learning with Auxiliary User Detection for Identifying Activities
por: Ge, Wen, et al.
Publicado: (2024)

An Effective, Robust and Fairness-aware Hate Speech Detection Framework
por: Mou, Guanyi, et al.
Publicado: (2024)

SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection
por: Mou, Guanyi, et al.
Publicado: (2024)

Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
por: Mou, Guanyi, et al.
Publicado: (2024)

Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts
por: Mou, Guanyi, et al.
Publicado: (2024)

Label Leakage in Federated Inertial-based Human Activity Recognition
por: Bock, Marius, et al.
Publicado: (2025)

Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers
por: Lorenzen, Niels R., et al.
Publicado: (2025)

MESEN: Exploit Multimodal Data to Design Unimodal Human Activity Recognition with Few Labels
por: Xu, Lilin, et al.
Publicado: (2024)

Integrating Temporal Context into Streaming Data for Human Activity Recognition in Smart Home
por: Vicini, Marina, et al.
Publicado: (2026)

Contrastive Learning for Multimodal Human Activity Recognition with Limited Labeled Data
por: Jing, Long, et al.
Publicado: (2026)

nanoML for Human Activity Recognition
por: Bacellar, Alan T. L., et al.
Publicado: (2025)

Federated Unlearning for Human Activity Recognition
por: Chen, Kongyang, et al.
Publicado: (2024)

Process-aware Human Activity Recognition
por: Zheng, Jiawei, et al.
Publicado: (2024)

Human Activity Recognition using Smartphones
por: Sonawane, Mayur, et al.
Publicado: (2024)

Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship Modeling
por: Zuo, Jingwei, et al.
Publicado: (2024)

ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation
por: Zhou, Xiaofan, et al.
Publicado: (2026)

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition
por: Nolan, Matthew, et al.
Publicado: (2025)

On-device Large Multi-modal Agent for Human Activity Recognition
por: Siam, Md Shakhrul Iman, et al.
Publicado: (2025)

Reservoir Network with Structural Plasticity for Human Activity Recognition
por: Zyarah, Abdullah M., et al.
Publicado: (2025)

Gated Adaptation for Continual Learning in Human Activity Recognition
por: Azghan, Reza Rahimi, et al.
Publicado: (2026)

Transfer Learning in Human Activity Recognition: A Survey
por: Dhekane, Sourish Gunesh, et al.
Publicado: (2024)

Decoding Human Activities: Analyzing Wearable Accelerometer and Gyroscope Data for Activity Recognition
por: Saha, Utsab, et al.
Publicado: (2023)

Exploring Video-Based Driver Activity Recognition under Noisy Labels
por: Fan, Linjuan, et al.
Publicado: (2025)

A Multi-target Bayesian Transformer Framework for Predicting Cardiovascular Disease Biomarkers during Pandemics
por: Inekwe, Trusting, et al.
Publicado: (2025)

Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition
por: Popko, Maximilian, et al.
Publicado: (2022)

Efficient and Adaptive Human Activity Recognition via LLM Backbones
por: Bredikhin, Aleksandr, et al.
Publicado: (2026)

Balancing Continual Learning and Fine-tuning for Human Activity Recognition
por: Tang, Chi Ian, et al.
Publicado: (2024)

Reducing Label Dependency in Human Activity Recognition with Wearables: From Supervised Learning to Novel Weakly Self-Supervised Approaches
por: Sheng, Taoran, et al.
Publicado: (2025)

VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition
por: Khisa, Soham, et al.
Publicado: (2025)

Transformer-Based Approaches for Sensor-Based Human Activity Recognition: Opportunities and Challenges
por: Leite, Clayton Souza, et al.
Publicado: (2024)

Towards Generalizable Human Activity Recognition: A Survey
por: Cai, Yize, et al.
Publicado: (2025)

Human Activity Recognition Based on Electrocardiogram Data Only
por: Montazeri, Sina, et al.
Publicado: (2025)

Subject Invariant Contrastive Learning for Human Activity Recognition
por: Yarici, Yavuz, et al.
Publicado: (2025)

DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition
por: Bock, Marius, et al.
Publicado: (2025)

Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition
por: Kagiyama, Masaharu, et al.
Publicado: (2025)

Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning
por: Shalby, Hazem Hesham Yousef, et al.
Publicado: (2025)

Explainable Human Activity Recognition: A Unified Review of Concepts and Mechanisms
por: Kundu, Mainak, et al.
Publicado: (2026)

Scene-Adaptive Continual Learning for CSI-based Human Activity Recognition with Mixture of Experts
por: Zheng, Wenhan, et al.
Publicado: (2026)