A survey of traffic prediction: from spatio-temporal data to intelligent transportation

H Yuan, G Li - Data Science and Engineering, 2021 - Springer
Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …

Knowledge graph quality management: a comprehensive survey

B Xue, L Zou - IEEE Transactions on Knowledge and Data …, 2022 - ieeexplore.ieee.org
As a powerful expression of human knowledge in a structural form, knowledge graph (KG)
has drawn great attention from both the academia and the industry and a large number of …

[HTML][HTML] Assessment in the age of artificial intelligence

Z Swiecki, H Khosravi, G Chen… - … and Education: Artificial …, 2022 - Elsevier
In this paper, we argue that a particular set of issues mars traditional assessment practices.
They may be difficult for educators to design and implement; only provide discrete snapshots …

Learning from disagreement: A survey

AN Uma, T Fornaciari, D Hovy, S Paun, B Plank… - Journal of Artificial …, 2021 - jair.org
Abstract Many tasks in Natural Language Processing (NLP) and Computer Vision (CV) offer
evidence that humans disagree, from objective tasks such as part-of-speech tagging to more …

FRUIT: A blockchain-based efficient and privacy-preserving quality-aware incentive scheme

C Zhang, M Zhao, L Zhu, W Zhang… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Incentive plays an important role in knowledge discovery, as it impels users to provide high-
quality knowledge. To promise incentive schemes with transparency, blockchain technology …

Spatial crowdsourcing: a survey

Y Tong, Z Zhou, Y Zeng, L Chen, C Shahabi - The VLDB Journal, 2020 - Springer
Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

Facial expression recognition with inconsistently annotated datasets

J Zeng, S Shan, X Chen - Proceedings of the European …, 2018 - openaccess.thecvf.com
Annotation errors and bias are inevitable among different facial expression datasets due to
the subjectiveness of annotating facial expressions. Ascribe to the inconsistent annotations …

Label distribution learning on auxiliary label space graphs for facial expression recognition

S Chen, J Wang, Y Chen, Z Shi… - Proceedings of the …, 2020 - openaccess.thecvf.com
Many existing studies reveal that annotation inconsistency widely exists among a variety of
facial expression recognition (FER) datasets. The reason might be the subjectivity of human …

Crowdsourced data management: A survey

G Li, J Wang, Y Zheng… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Any important data management and analytics tasks cannot be completely addressed by
automated processes. These tasks, such as entity resolution, sentiment analysis, and image …

AI meets database: AI4DB and DB4AI

G Li, X Zhou, L Cao - Proceedings of the 2021 International Conference …, 2021 - dl.acm.org
Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …