Results 311 to 320 of about 10,485,189 (358)

LIMU-BERT

Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, 2021
Deep learning greatly empowers Inertial Measurement Unit (IMU) sensors for a wide range of sensing applications. Most existing works require substantial amounts of wellcurated labeled data to train IMU-based sensing models, which incurs high annotation and training costs. Compared with labeled data, unlabeled IMU data are abundant and easily accessible.
Huatao Xu, Pengfei Zhou, Rui Tan, Mo Li, Guobin Shen   +4 more
openaire   +1 more source

A Cross-Cultural Crash Pattern Analysis in the United States and Jordan Using BERT and SHAP

Electronics
Understanding the cultural and environmental influences on roadway crash patterns is essential for designing effective prevention strategies. This study applies advanced AI techniques, including Bidirectional Encoder Representations from Transformers ...
Shadi Jaradat, M. Elhenawy, Alexander Paz, Taqwa I. Alhadidi, Huthaifa I. Ashqar, Richi Nayak   +5 more
semanticscholar   +1 more source

Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis

Applied and Computational Engineering
With the rapid expansion of the Internet and social media, there has been an explosion of text data, containing valuable emotional insights. Sentiment analysis, aimed at discerning and processing people's emotional inclinations, opinions, and ...
Yichao Wu, Zhengyu Jin, Chenxi Shi, Penghao Liang, Tong Zhan   +4 more
semanticscholar   +1 more source

Bert Foer

The Antitrust Bulletin, 2015
This article explains Bert’s role in building the American Antitrust Institute into a strong and important contributor to the robust evolution of antitrust law and enforcement policy.
openaire   +1 more source

A Robustly Optimized BERT Pre-training Approach with Post-training

China National Conference on Chinese Computational Linguistics, 2021
Zhuang Liu, Wayne Lin, Yafei Shi, Jun Zhao   +3 more
semanticscholar   +1 more source

Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

Npj Digital Medicine, 2021
Laila Rasmy, Yang Xiang, Cui Tao
exaly  

Transformer models for text-based emotion detection: a review of BERT-based approaches

Artificial Intelligence Review, 2021
Henry Nunoo-Mensah, Wenyu Chen
exaly  

BERT-ER

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
Shubham Chatterjee, Laura Dietz
openaire   +1 more source

AOBERT: All-modalities-in-One BERT for multimodal sentiment analysis

Information Fusion, 2023
, Sanghyun Park
exaly