Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zhengyi Guan"'
Autor:
Zhengyi Guan, Xiaobing Zhou
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-29 (2023)
Abstract Background The biomedical literature is growing rapidly, and it is increasingly important to extract meaningful information from the vast amount of literature. Biomedical named entity recognition (BioNER) is one of the key and fundamental ta
Externí odkaz:
https://doaj.org/article/5a7ee87af28643ee8fe9131fc45e3ca9
Publikováno v:
IEEE Access, Vol 8, Pp 218565-218574 (2020)
Deep learning provides appropriate mechanisms to predict vessel trajectories for safer and efficient shipping, but still existing models are mainly oriented to longer-term prediction trends and do not fully support real time navigation needs. While m
Externí odkaz:
https://doaj.org/article/9b840999b3ab4489bccbb9d15f49d9d4
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 10, p 703 (2021)
Taxi waiting times is an important criterion for taxi passengers to choose appropriate pick-up locations in urban environments. How to predict the taxi waiting time accurately at a certain time and location is the key solution for the imbalance betwe
Externí odkaz:
https://doaj.org/article/6600f80d48eb40a5bd617144375bceb6
Publikováno v:
27th International Conference on Science, Technology and Innovation Indicators (STI 2023).
This paper proposes a new method for selecting iconic papers. We use chapter structure recognition technology and combine it with popular deep learning models to identify the chapter structure of the papers. Based on this identification result, we ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f384b305327c3bb436d671f52912ed29
https://doi.org/10.55835/64382c384cc7592973d4786e
https://doi.org/10.55835/64382c384cc7592973d4786e
Publikováno v:
IEEE Access, Vol 8, Pp 218565-218574 (2020)
Deep learning provides appropriate mechanisms to predict vessel trajectories for safer and efficient shipping, but still existing models are mainly oriented to longer-term prediction trends and do not fully support real time navigation needs. While m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f68314b1d0809d670a321d1535df1b63
https://doi.org/10.1109/access.2020.3041762
https://doi.org/10.1109/access.2020.3041762
Autor:
Xiaobing Zxb Zhou, Zhengyi Guan
Publikováno v:
SemEval@ACL/IJCNLP
This paper describes our contribution to SemEval-2021 Task 7: Detecting and Rating Humor and Of-fense.This task contains two sub-tasks, sub-task 1and sub-task 2. Among them, sub-task 1 containsthree sub-tasks, sub-task 1a ,sub-task 1b and sub-task 1c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39441a7b3aa94e0b9ad1ca374cb9047a
https://doi.org/10.18653/v1/2021.semeval-1.154
https://doi.org/10.18653/v1/2021.semeval-1.154
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 703, p 703 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 10
ISPRS International Journal of Geo-Information
Volume 10
Issue 10
Taxi waiting times is an important criterion for taxi passengers to choose appropriate pick-up locations in urban environments. How to predict the taxi waiting time accurately at a certain time and location is the key solution for the imbalance betwe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecf7106ef78e4e1364667fc3f2483e6b
https://doi.org/10.3390/ijgi10100703
https://doi.org/10.3390/ijgi10100703