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Found 5 papers, 2 papers with code
Predicting trucking accidents with truck drivers 'safety climate perception across companies: A transfer learning approach
Using the safety climate survey data from seven trucking companies with different data sizes, we show that our proposed approach results in better model performance compared to training the model from scratch using only the target company's data.
An interpretable clustering approach to safety climate analysis: examining driver group distinction in safety climate perceptions
While existing data-driven safety climate studies have made remarkable progress, clustering employees based on their safety climate perception is innovative and has not been extensively utilized in research.
Multilingual Pre-training with Universal Dependency Learning
The pre-trained language model (PrLM) demonstrates domination in downstream natural language processing tasks, in which multilingual PrLM takes advantage of language universality to alleviate the issue of limited resources for low-resource languages.
MPSN: Motion-aware Pseudo Siamese Network for Indoor Video Head Detection in Buildings
Head detection in the indoor video is an essential component of building occupancy detection.
Cross-lingual Universal Dependency Parsing Only from One Monolingual Treebank
As it is unlikely to obtain a treebank for every human language, in this work, we propose an effective cross-lingual UD parsing framework for transferring parser from only one source monolingual treebank to any other target languages without treebank available.
