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Semantic Loss

https://doi.org/10.1145/3631407
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11575771_53openalex-snapshot
Middleware for Distributed Context-Aware Systems
inferredcites →https://doi.org/10.1007/978-3-030-01081-2_30openalex-snapshot
Improving kNN for Human Activity Recognition with Privileged Learning Using Translation Models
inferredcites →https://doi.org/10.1007/978-3-642-23580-1_25openalex-snapshot
ELOG: A Probabilistic Reasoner for OWL EL
inferredcites →https://doi.org/10.1007/978-981-19-0361-8_3openalex-snapshot
Using LUPI to Improve Complex Activity Recognition
inferredcites →https://doi.org/10.1007/s00779-010-0331-7openalex-snapshot
COSAR: hybrid reasoning for context-aware activity recognition
inferredcites →https://doi.org/10.1007/s10115-022-01756-8openalex-snapshot
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond
inferredcites →https://doi.org/10.1007/s10994-021-05966-zopenalex-snapshot
Incorporating symbolic domain knowledge into graph neural networks
inferredcites →https://doi.org/10.1007/s42486-020-00026-2openalex-snapshot
Feature learning for Human Activity Recognition using Convolutional Neural Networks
inferredcites →https://doi.org/10.1016/j.cogsys.2018.04.003openalex-snapshot
A deep model with combined losses for person re-identification
inferredcites →https://doi.org/10.1016/j.dss.2020.113426openalex-snapshot
Recognition of human activities for wellness management using a smartphone and a smartwatch: A boosting approach
inferredcites →https://doi.org/10.1016/j.inffus.2021.09.022openalex-snapshot
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
inferredcites →https://doi.org/10.1016/j.jpdc.2017.05.007openalex-snapshot
GCHAR: An efficient Group-based Context—aware human activity recognition on smartphone
inferredcites →https://doi.org/10.1016/j.knosys.2017.01.025openalex-snapshot
Probabilistic ontology based activity recognition in smart homes using Markov Logic Network
inferredcites →https://doi.org/10.1016/j.knosys.2020.105816openalex-snapshot
CAVIAR: Context-driven Active and Incremental Activity Recognition
inferredcites →https://doi.org/10.1016/j.neucom.2020.10.056openalex-snapshot
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks
inferredcites →https://doi.org/10.1016/j.patrec.2018.02.010openalex-snapshot
Deep learning for sensor-based activity recognition: A survey
inferredcites →https://doi.org/10.1016/j.pmcj.2014.09.010openalex-snapshot
Privacy protection in pervasive systems: State of the art and technical challenges
inferredcites →https://doi.org/10.1016/j.pmcj.2023.101780openalex-snapshot
Probabilistic knowledge infusion through symbolic features for context-aware activity recognition
inferredcites →https://doi.org/10.1016/j.procs.2020.03.289openalex-snapshot
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices
inferredcites →https://doi.org/10.1016/j.websem.2007.03.004openalex-snapshot
Pellet: A practical OWL-DL reasoner
inferredcites →https://doi.org/10.1016/j.websem.2015.09.002openalex-snapshot
Semantic reasoning on mobile devices: Do Androids dream of efficient reasoners?
inferredcites →https://doi.org/10.1038/s41598-021-04590-0openalex-snapshot
A review of some techniques for inclusion of domain-knowledge into deep neural networks
inferredcites →https://doi.org/10.1109/access.2018.2861004openalex-snapshot
A Scalable Hybrid Activity Recognition Approach for Intelligent Environments
inferredcites →https://doi.org/10.1109/access.2020.3015091openalex-snapshot
ProCAVIAR: Hybrid Data-Driven and Probabilistic Knowledge-Based Activity Recognition
inferredcites →https://doi.org/10.1109/access.2021.3053704openalex-snapshot
Unsupervised Domain Adaptation in Activity Recognition: A GAN-Based Approach
inferredcites →https://doi.org/10.1109/fiot.2018.8325603openalex-snapshot
Explicative human activity recognition using adaptive association rule-based classification
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/jsen.2020.2964278openalex-snapshot
Context-Aware Human Activity Recognition (CAHAR) in-the-Wild Using Smartphone Accelerometer
inferredcites →https://doi.org/10.1109/mdm58254.2023.00063openalex-snapshot
DOMINO: A Dataset for Context-Aware Human Activity Recognition using Mobile Devices
inferredcites →https://doi.org/10.1109/mic.2019.2960071openalex-snapshot
Shades of Knowledge-Infused Learning for Enhancing Deep Learning
inferredcites →https://doi.org/10.1109/mic.2020.3031769openalex-snapshot
Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable?
inferredcites →https://doi.org/10.1109/mprv.2017.3971131openalex-snapshot
Recognizing Detailed Human Context in the Wild from Smartphones and Smartwatches
inferredcites →https://doi.org/10.1109/percomworkshops56833.2023.10150397openalex-snapshot
Learning Using Privileged Information for Wearable-based Human Activity Recognition
inferredcites →https://doi.org/10.1109/smc.2015.525openalex-snapshot
Multi-modal Convolutional Neural Networks for Activity Recognition
inferredcites →https://doi.org/10.1109/tip.2021.3086590openalex-snapshot
Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
inferredcites →https://doi.org/10.1109/tkde.2019.2930050openalex-snapshot
POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes
inferredcites →https://doi.org/10.1145/2490832openalex-snapshot
Complex activity recognition using context-driven activity theory and activity signatures
inferredcites →https://doi.org/10.1145/2939672.2939778openalex-snapshot
"Why Should I Trust You?"
inferredcites →https://doi.org/10.1145/3158645openalex-snapshot
Activity Recognition with Evolving Data Streams
inferredcites →https://doi.org/10.1145/3384419.3431158openalex-snapshot
Neuroplex
inferredcites →https://doi.org/10.1145/3447744openalex-snapshot
Deep Learning for Sensor-based Human Activity Recognition
inferredcites →https://doi.org/10.1145/3517246openalex-snapshot
ColloSSL
inferredcites →https://doi.org/10.1145/3550294openalex-snapshot
Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch
inferredcites →https://doi.org/10.1145/3550299openalex-snapshot
Assessing the State of Self-Supervised Human Activity Recognition Using Wearables
inferredcites →https://doi.org/10.21629/jsee.2017.01.18openalex-snapshot
Convolutional neural networks for time series classification
inferredcites →https://doi.org/10.3233/jifs-169976openalex-snapshot
A hybrid approach of knowledge-driven and data-driven reasoning for activity recognition in smart homes
inferredcites →https://doi.org/10.3390/s21217278openalex-snapshot
Human Activity Recognition: A Dynamic Inductive Bias Selection Perspective
inferredcites →https://doi.org/10.52202/068431-2171openalex-snapshot
Semantic Probabilistic Layers for Neuro-Symbolic Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s00607-025-01548-2openalex-snapshot
Smartphone sensor fusion for joint recognition of human activity and behavioral context
inferred← citeshttps://doi.org/10.1007/s10462-025-11275-xopenalex-snapshot
A systematic literature review on human activity recognition using smart devices: advances, challenges, and future directions
inferred← citeshttps://doi.org/10.1007/s11042-025-21053-0openalex-snapshot
Smartphone-based context-aware system for human activity recognition: dynamic and static methods
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126178openalex-snapshot
Multi-subject human activities: A survey of recognition and evaluation methods based on a formal framework
inferred← citeshttps://doi.org/10.1109/access.2025.3598909openalex-snapshot
Neuro-Symbolic AI for Advanced Signal and Image Processing: A Review of Recent Trends and Future Directions
inferred← citeshttps://doi.org/10.1109/aeeca65693.2025.00133openalex-snapshot
Large Language Models for Autonomous Driving: Natural Language Interfaces for Human-Vehicle Interaction
inferred← citeshttps://doi.org/10.1109/coins69995.2026.11715616openalex-snapshot
NASP-T: A Fuzzy Neuro-Symbolic Transformer for Logic-Constrained Aviation Safety Report Classification
inferred← citeshttps://doi.org/10.1109/jsen.2024.3483108openalex-snapshot
Hydra-TS: Enhancing Human Activity Recognition With Multiobjective Synthetic Time-Series Data Generation
inferred← citeshttps://doi.org/10.1109/percomworkshops65533.2025.00142openalex-snapshot
Large Language Models for Human Activity Recognition in Smart-Home
inferred← citeshttps://doi.org/10.1109/tce.2025.3625226openalex-snapshot
Neurosymbolic AI Empowered Consumer Electronics Healthcare for WiFi-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/tce.2025.3646489openalex-snapshot
Edge Neuro-Symbolic AI Framework for Privacy-Preserving Real-Time Health Analytics in Consumer Wearable Devices
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/10.1145/3725856openalex-snapshot
Large Language Models Are Zero-Shot Recognizers for Activities of Daily Living
inferred← citeshttps://doi.org/10.1145/3789676openalex-snapshot
Ubiquitous Lingering Technologies: What's Left Behind by the Past “Proximate Futures”?
inferred← citeshttps://doi.org/10.1177/29498732261469485openalex-snapshot
Neuro-Symbolic Architectures: Formalizing, Extending, Evaluating, and Empowering Generative Artificial Intelligence
inferred← citeshttps://doi.org/10.32604/cmc.2025.063691openalex-snapshot
Intelligent Spatial Anomaly Activity Recognition Method Based on Ontology Matching
inferred← citeshttps://doi.org/10.3389/fcomp.2025.1526484openalex-snapshot
Intellectual Rooms based on AmI and IoT technologies
inferred← citeshttps://doi.org/10.3390/make8090281openalex-snapshot
Bridging Knowledge and Learning: A Multi-Axis Analytical Survey for Neurosymbolic Artificial Intelligence
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