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Augmented Adversarial Learning for Human Activity Recognition with Partial Sensor Sets
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-58347-1_10openalex-snapshot
Domain-Adversarial Training of Neural Networks
inferredcites →https://doi.org/10.1007/978-3-642-35395-6_30openalex-snapshot
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine
inferredcites →https://doi.org/10.1093/comjnl/bxt075openalex-snapshot
Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units
inferredcites →https://doi.org/10.1109/acii.2017.8273601openalex-snapshot
Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction
inferredcites →https://doi.org/10.1109/cvpr.2018.00288openalex-snapshot
Partial Transfer Learning with Selective Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01418openalex-snapshot
Learning a Unified Sample Weighting Network for Object Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00950openalex-snapshot
Open Domain Generalization with Domain-Augmented Meta-Learning
inferredcites →https://doi.org/10.1109/iccvw.2019.00383openalex-snapshot
Dropout Induced Noise for Co-Creative GAN Systems
inferredcites →https://doi.org/10.1109/issnip.2007.4496857openalex-snapshot
Activity recognition from on-body sensors by classifier fusion: sensor scalability and robustness
inferredcites →https://doi.org/10.1109/iswc.2012.13openalex-snapshot
Introducing a New Benchmarked Dataset for Activity Monitoring
inferredcites →https://doi.org/10.1145/2134203.2134205openalex-snapshot
Multimodal recognition of reading activity in transit using body-worn sensors
inferredcites →https://doi.org/10.1145/3380985openalex-snapshot
A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition
inferredcites →https://doi.org/10.1145/3411818openalex-snapshot
Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network
inferredcites →https://doi.org/10.1145/3460421.3480421openalex-snapshot
Using additional training sensors to improve single-sensor complex activity recognition
inferredcites →https://doi.org/10.1145/3669940.3707266openalex-snapshot
Design and Operation of Shared Machine Learning Clusters on Campus
inferredcites →https://doi.org/10.24963/ijcai.2021/631openalex-snapshot
Time Series Data Augmentation for Deep Learning: A Survey
inferredcites →https://doi.org/10.31193/ssap.isbn.9787520118873openalex-snapshot
Economy of China Analysis and Forecast (2018)
inferredcites →https://doi.org/10.3390/s140609995openalex-snapshot
Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition
inferredcites →https://doi.org/10.3390/s18113612openalex-snapshot
On-Body Sensor Positions Hierarchical Classification
inferredcites →https://doi.org/10.5555/1756006.1859931openalex-snapshot
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
inferredcites →https://doi.org/10.5555/2946645.2946704openalex-snapshot
Domain-adversarial training of neural networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s42486-026-00246-yopenalex-snapshot
FedAli-PHAR: personalized federated learning with optimal transport-based prototype alignment for robust human activity recognition in pervasive computing
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.111146openalex-snapshot
Human activity recognition through deep learning: Leveraging unique and common feature fusion in wearable multi-sensor systems
inferred← citeshttps://doi.org/10.1109/abc64332.2025.11118576openalex-snapshot
ALOHA: Leveraging Additional Information to Learn Robust Representations for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3604710openalex-snapshot
Revolutionizing Wearable Sensor Data Analysis With an Automated Decision-Making Model for Enhanced Human Activity Detection
inferred← citeshttps://doi.org/10.1109/jiot.2025.3555799openalex-snapshot
VirtualHAR: Virtual Sensing Device and Correlation-Based Learning Approach for Multiwearable Sensing Device-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jsen.2024.3422272openalex-snapshot
Hand-Crafted Features With a Simple Deep Learning Architecture for Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/tcss.2025.3565414openalex-snapshot
Differentiable Prior-Driven Data Augmentation for Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3631415openalex-snapshot
Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3631444openalex-snapshot
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3659589openalex-snapshot
AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3699733openalex-snapshot
rTsfNet: A DNN Model with Multi-head 3D Rotation and Time Series Feature Extraction for IMU-based Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3729467openalex-snapshot
Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
inferred← citeshttps://doi.org/10.1145/3749511openalex-snapshot
MASTER: A Multi-modal Foundation Model for Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3774906.3800465openalex-snapshot
Zero-Effort Cross-Domain Wireless Respiration Monitoring Under Free Movements With Commercial UWB Devices
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