Results 151 to 160 of about 1,551,832 (303)

CML-COVID: A Large-Scale COVID-19 Twitter Dataset with Latent Topics, Sentiment and Location Information

, 2021
Hassan Dashtian, Dhiraj Murthy
openalex   +2 more sources

A Hybrid Technique to Classify Trending Topic on Twitter Dataset [PDF]

International Journal of Engineering and Technology, 2017
Pramod S Nair, Srinivasa Rao D, Nidhi Choubey   +2 more
openaire   +2 more sources

SkatingVerse: A large‐scale benchmark for comprehensive evaluation on human action understanding

IET Computer Vision
Human action understanding (HAU) is a broad topic that involves specific tasks, such as action localisation, recognition, and assessment. However, most popular HAU datasets are bound to one task based on particular actions.
Ziliang Gan, Lei Jin, Yi Cheng, Yu Cheng, Yinglei Teng, Zun Li, Yawen Li, Wenhan Yang, Zheng Zhu, Junliang Xing, Jian Zhao   +10 more
doaj   +1 more source

Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off‐the‐shelf features: A dual‐dataset study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen, Yanyan Cheng, Lijun Chen, Banghua Yang   +3 more
wiley   +1 more source

Dataset Analysis of English Texts Written on the Topic of Jesus’ Resurrection: A Statistical Critique of Minimal Facts Apologetics

, 2021
Michael J. Alter, Darren M. Slade
openalex   +1 more source

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan, Alexandra Quinn, Patrick Horsley, Joseph Chan, Maegan Stewart, Regina Bromley, Jeremy Booth   +6 more
wiley   +1 more source

Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA - Dataset

, 2021
Klaifer Garcia, Lilian Lerton
openalex   +2 more sources

A study of extractive summarization of long documents incorporating local topic and hierarchical information

Scientific Reports
In recent years, the transformer-based language models have achieved remarkable success in the field of extractive text summarization. However, there are still some limitations in this kind of research.
Ting Wang, Chuan Yang, Maoyang Zou, Jiaying Liang, Dong Xiang, Wenjie Yang, Hongyang Wang, Jia Li   +7 more
doaj   +1 more source

A method for measuring spatial resolution based on clinical chest CT sequence images

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aimed to develop and validate a method for characterizing the spatial resolution of clinical chest computed tomography (CT) sequence images. Methods An algorithm for characterizing spatial resolution based on clinical chest CT sequence images was developed in Matlab (2021b).
Ying Liu, Jingying Shen, Haowei Zhang, Haikuan Liu   +3 more
wiley   +1 more source

CAST: Corpus-Aware Self-similarity Enhanced Topic modelling [PDF]

arXiv
Topic modelling is a pivotal unsupervised machine learning technique for extracting valuable insights from large document collections. Existing neural topic modelling methods often encode contextual information of documents, while ignoring contextual details of candidate centroid words, leading to the inaccurate selection of topic words due to the ...
arxiv