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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot
Visualizing and Understanding Convolutional Networks
inferredcites →https://doi.org/10.1007/978-3-642-24797-2openalex-snapshot
Supervised Sequence Labelling with Recurrent Neural Networks
inferredcites →https://doi.org/10.1007/s10489-020-02005-7openalex-snapshot
Deep learning based multimodal complex human activity recognition using wearable devices
inferredcites →https://doi.org/10.1016/j.inffus.2019.06.014openalex-snapshot
Imaging and fusing time series for wearable sensor-based human activity recognition
inferredcites →https://doi.org/10.1016/j.jeconom.2018.07.005openalex-snapshot
ArCo: An artificial counterfactual approach for high-dimensional panel time-series data
inferredcites →https://doi.org/10.1016/j.jnca.2007.11.002openalex-snapshot
Human activity recognition in pervasive health-care: Supporting efficient remote collaboration
inferredcites →https://doi.org/10.1037//0033-2909.127.1.3openalex-snapshot
Event structure in perception and conception.
inferredcites →https://doi.org/10.1038/s41591-018-0107-6openalex-snapshot
Clinically applicable deep learning for diagnosis and referral in retinal disease
inferredcites →https://doi.org/10.1038/s42256-019-0048-xopenalex-snapshot
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
inferredcites →https://doi.org/10.1109/cbmi.2019.8877429openalex-snapshot
Benchmark for Kitchen20, a daily life dataset for audio-based human action recognition
inferredcites →https://doi.org/10.1109/cvpr.2014.222openalex-snapshot
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.476openalex-snapshot
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00920openalex-snapshot
Interpretable Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/icassp.1999.757481openalex-snapshot
Unsupervised clustering of ambulatory audio and video
inferredcites →https://doi.org/10.1109/iccv.2017.557openalex-snapshot
Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/iccvw.2019.00516openalex-snapshot
Towards A Rigorous Evaluation Of XAI Methods On Time Series
inferredcites →https://doi.org/10.1109/icmi.2002.1166960openalex-snapshot
Layered representations for human activity recognition
inferredcites →https://doi.org/10.1109/icosp.2004.1452759openalex-snapshot
Efficient viterbi beam search algorithm using dynamic pruning
inferredcites →https://doi.org/10.1145/1409635.1409638openalex-snapshot
Discovery of activity patterns using topic models
inferredcites →https://doi.org/10.1145/3161174openalex-snapshot
Multimodal Deep Learning for Activity and Context Recognition
inferredcites →https://doi.org/10.1145/3267305.3267529openalex-snapshot
Deep Convolutional Bidirectional LSTM Based Transportation Mode Recognition
inferredcites →https://doi.org/10.1145/3341162.3345577openalex-snapshot
Nurse care activity recognition challenge
inferredcites →https://doi.org/10.1145/3341163.3347744openalex-snapshot
Handling annotation uncertainty in human activity recognition
inferredcites →https://doi.org/10.1145/3351244openalex-snapshot
Integrating Activity Recognition and Nursing Care Records
inferredcites →https://doi.org/10.1145/3366423.3380087openalex-snapshot
Learning Model-Agnostic Counterfactual Explanations for Tabular Data
inferredcites →https://doi.org/10.1145/3411836openalex-snapshot
Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs
inferredcites →https://doi.org/10.1145/363958.363994openalex-snapshot
A technique for computer detection and correction of spelling errors
inferredcites →https://doi.org/10.1186/s12938-015-0026-4openalex-snapshot
Identifying typical physical activity on smartphone with varying positions and orientations
inferredcites →https://doi.org/10.1609/aaai.v32i1.11771openalex-snapshot
Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions
inferredcites →https://doi.org/10.2991/icaita-16.2016.13openalex-snapshot
LSTM Networks for Mobile Human Activity Recognition
inferredcites →https://doi.org/10.3390/s16010115openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
inferredcites →https://doi.org/10.3390/s18041055openalex-snapshot
Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening
inferredcites →https://doi.org/10.3390/s19204474openalex-snapshot
A Novel Human Activity Recognition and Prediction in Smart Home Based on Interaction
inferredcites →https://doi.org/10.4108/icst.bodynets.2011.247015openalex-snapshot
myHealthAssistant: A Phone-based Body Sensor Network that Captures the Wearer's Exercises throughout the Day
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-77571-0_15openalex-snapshot
Superiority of Deep Learning in Ambient Intelligence, a Myth or an Ubiquitous Truth?
inferred← citeshttps://doi.org/10.1007/978-3-032-08317-3_12openalex-snapshot
The Impact of Concept Explanations and Interventions on Human-Machine Collaboration
inferred← citeshttps://doi.org/10.1007/978-3-032-10554-7_19openalex-snapshot
GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes
inferred← citeshttps://doi.org/10.1007/978-3-032-21499-7_28openalex-snapshot
Federated Learning with Weighted Averaging Enabled a Hybrid Deep Learning Model for Healthcare to Predict Patient Actions
inferred← citeshttps://doi.org/10.1007/978-981-95-0701-6_30openalex-snapshot
An Efficient Hybrid Deep Learning-Based Automatic Feature Engineering and Classification Framework for Smartphone Sensor-Based Human Activity Recognition System
inferred← citeshttps://doi.org/10.1007/s11042-024-20484-5openalex-snapshot
SMART-vision: survey of modern action recognition techniques in vision
inferred← citeshttps://doi.org/10.1007/s11227-026-08669-1openalex-snapshot
TDA: a high-performance and explainable framework for human activity recognition with temporal decomposition attention
inferred← citeshttps://doi.org/10.1016/b978-0-443-44430-2.00004-9openalex-snapshot
Toward precision Alzheimer's treatment: AdGenius–CogMol–VAE for smart drug discovery
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.109838openalex-snapshot
Explaining Human Activity Recognition with SHAP: Validating insights with perturbation and quantitative measures
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114251openalex-snapshot
Continuous Learning Enabled Dual Attention-based Fairness-aware eXplainable Convolutional Network for bias mitigation in a critical decision system for human action recognition
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126295openalex-snapshot
Introducing 3DCNN ResNets for ASD full-body kinematic assessment: A comparison with hand-crafted features
inferred← citeshttps://doi.org/10.1016/j.health.2026.100463openalex-snapshot
A multi-method explainability approach for sensor-based health activity analytics
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102650openalex-snapshot
IoT-FAR: A multi-sensor fusion approach for IoT-based firefighting activity recognition
inferred← citeshttps://doi.org/10.1038/s41598-025-26297-2openalex-snapshot
A tiny inertial transformer for human activity recognition via multimodal knowledge distillation and explainable AI
inferred← citeshttps://doi.org/10.1093/jcde/qwaf075openalex-snapshot
Granular and explainable human activity recognition through sound segmentation and deep learning
inferred← citeshttps://doi.org/10.1109/access.2024.3357989openalex-snapshot
Improved Coyote Optimization Algorithm and Deep Learning Driven Activity Recognition in Healthcare
inferred← citeshttps://doi.org/10.1109/ectidamtncon60518.2024.10480073openalex-snapshot
Improving Performance and Explainability of Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/iccc68654.2025.11438161openalex-snapshot
Recurrent Neural Network on Human Activity Recognition Based on Latent State Space
inferred← citeshttps://doi.org/10.1109/icces63552.2024.10860031openalex-snapshot
INNS: A Superficial Learning Scheme to Predict Complex Human Activity Behaviour using Improved Neural Network Schema
inferred← citeshttps://doi.org/10.1109/iccit68739.2025.11491709openalex-snapshot
Video-Based Human Action Recognition with I3D Network Architecture: A Comprehensive Explainable AI Study Using Grad-CAM and SHAP
inferred← citeshttps://doi.org/10.1109/ijcb57857.2023.10448965openalex-snapshot
Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/istas65609.2025.11269639openalex-snapshot
Complexity-Aware Human Daily Activity Detection Using AI
inferred← citeshttps://doi.org/10.1109/jbhi.2026.3651261openalex-snapshot
Audio-Driven Multi-Modal Unobtrusive Health Monitoring and Inference for Smart Eldercare at Home
inferred← citeshttps://doi.org/10.1109/jsen.2025.3541158openalex-snapshot
GeXSe (Generative Explanatory Sensor System): A Deep Generative Method for Human Activity Recognition of Smart Spaces IOT
inferred← citeshttps://doi.org/10.1109/jsen.2025.3631794openalex-snapshot
VCHAR: A Variance-Driven Framework for Complex Human Activity Recognition With Vague Label
inferred← citeshttps://doi.org/10.1109/picom68402.2025.00041openalex-snapshot
Explainable Human Activity Recognition Using IMU Data: A Shapley-Value-Based Method
inferred← citeshttps://doi.org/10.1109/sces61914.2024.10652396openalex-snapshot
An Efficient and Optimized CNN-LSTM Framework for Complex Human Activity Recognition System Using Surface EMG Physiological Sensors and Feature Engineering
inferred← citeshttps://doi.org/10.1109/sensys-ml62579.2024.00007openalex-snapshot
LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces
inferred← citeshttps://doi.org/10.1109/tii.2025.3547056openalex-snapshot
An Interpretable Ensemble Fuzzy Classifier for Smartphone Sensor-Based Human Activity Classification
inferred← citeshttps://doi.org/10.1109/tmc.2025.3548647openalex-snapshot
CHAR: Composite Head-Body Activities Recognition With a Single Earable Device
inferred← citeshttps://doi.org/10.1142/s0218348x2540002xopenalex-snapshot
AUTOMATED INDOOR ACTIVITY MONITORING FOR ELDERLY AND VISUALLY IMPAIRED PEOPLE USING QUANTUM SALP SWARM ALGORITHM WITH MACHINE LEARNING
inferred← citeshttps://doi.org/10.1145/3636534.3649370openalex-snapshot
ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease
inferred← citeshttps://doi.org/10.1145/3659597openalex-snapshot
CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining
inferred← citeshttps://doi.org/10.1145/3675094.3677571openalex-snapshot
XAI for U: Explainable AI for Ubiquitous, Pervasive and Wearable Computing
inferred← citeshttps://doi.org/10.1145/3714394.3750557openalex-snapshot
XAI for U 2025: 2$nd$ International Workshop on Explainable AI for Ubiquitous, Pervasive and Wearable Computing
inferred← citeshttps://doi.org/10.1145/3770854.3783921openalex-snapshot
GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery
inferred← citeshttps://doi.org/10.21123/bsj.2023.9087openalex-snapshot
An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system
inferred← citeshttps://doi.org/10.2139/ssrn.5701162openalex-snapshot
BiTTCoIn-Net: A Bimodal Tri-Task Convolution-Involution architecture for explainable fine-grained gesture recognition using wearable sensors
inferred← citeshttps://doi.org/10.3390/ai7060203openalex-snapshot
Explainability Approaches for Class Differentiation in Classification Models: A Systematic Review
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