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Semantic loss: A new neuro-symbolic approach for context-aware human activity recognition
Deep Learning models are a standard solution for sensor-based Human Activity
Recognition (HAR), but their deployment is often limited by labeled data scarcity and …
Recognition (HAR), but their deployment is often limited by labeled data scarcity and …
[HTML][HTML] Multi-subject human activities: A survey of recognition and evaluation methods based on a formal framework
Abstract Human Activity Recognition (HAR) in smart environments is a well-explored
research domain, given its diverse applications which include healthcare, surveillance …
research domain, given its diverse applications which include healthcare, surveillance …
Entropy-enhanced context-aware event prediction based on ontology and external knowledge
T **n, W Liu - openreview.net
Predicting impending events is an attractive task of natural language processing (NLP),
which plays an important role in many fields such as emergency management. Current …
which plays an important role in many fields such as emergency management. Current …