Qingyu Chen
Qingyu Chen
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα nih.gov - Αρχική σελίδα
Παρατίθεται από
Παρατίθεται από
Keep up with the latest coronavirus research
Q Chen, A Allot, Z Lu
Nature 579 (7798), 193-193, 2020
BioWordVec, improving biomedical word embeddings with subword information and MeSH
Y Zhang, Q Chen, Z Yang, H Lin, Z Lu
Scientific data 6 (1), 1-9, 2019
DeepSeeNet: a deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
Y Peng, S Dharssi, Q Chen, TD Keenan, E Agrón, WT Wong, EY Chew, ...
Ophthalmology 126 (4), 565-575, 2019
BioSentVec: creating sentence embeddings for biomedical texts
Q Chen, Y Peng, Z Lu
2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-5, 2019
Integrating bdi agents into a matsim simulation
L Padgham, K Nagel, D Singh, Q Chen
LitCovid: an open database of COVID-19 literature
Q Chen, A Allot, Z Lu
Nucleic acids research 49 (D1), D1534-D1540, 2021
ML-Net: multi-label classification of biomedical texts with deep neural networks
J Du, Q Chen, Y Peng, Y Xiang, C Tao, Z Lu
Journal of the American Medical Informatics Association 26 (11), 1279-1285, 2019
Duplicates, redundancies and inconsistencies in the primary nucleotide databases: a descriptive study
Q Chen, J Zobel, K Verspoor
Database 2017, 2017
Biocuration: distilling data into knowledge
International Society for Biocuration
PLoS Biology 16 (4), e2002846, 2018
LitSense: making sense of biomedical literature at sentence level
A Allot, Q Chen, S Kim, R Vera Alvarez, DC Comeau, WJ Wilbur, Z Lu
Nucleic acids research 47 (W1), W594-W599, 2019
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine
R Islamaj Doğan, S Kim, A Chatr-Aryamontri, CH Wei, DC Comeau, ...
Database 2019, 2019
BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale
Q Chen, K Lee, S Yan, S Kim, CH Wei, Z Lu
PLoS computational biology 16 (4), e1007617, 2020
Evaluation of a machine learning duplicate detection method for bioinformatics databases
Q Chen, J Zobel, K Verspoor
Proceedings of the ACM Ninth International Workshop on Data and Text Mining …, 2015
A deep learning approach for automated detection of geographic atrophy from color fundus photographs
TD Keenan, S Dharssi, Y Peng, Q Chen, E Agrón, WT Wong, Z Lu, ...
Ophthalmology 126 (11), 1533-1540, 2019
An empirical study of multi-task learning on BERT for biomedical text mining
Y Peng, Q Chen, Z Lu
arXiv preprint arXiv:2005.02799, 2020
Document triage and relation extraction for protein-protein interactions affected by mutations
Q Chen, NC Panyam, A Elangovan, M Davis, K Verspoor
Proceedings of the BioCreative VI Workshop 6, 52-1, 2017
Combining rich features and deep learning for finding similar sentences in electronic medical records
Q Chen, J Du, S Kim, WJ Wilbur, Z Lu
Proceedings of the BioCreative/OHNLP Challenge, 5-8, 2018
A multi-task deep learning model for the classification of Age-related Macular Degeneration
Q Chen, Y Peng, T Keenan, S Dharssi, E Agro, W Wai, E Chew, Z Lu
AMIA Summits on Translational Science Proceedings 2019, 505, 2019
Supervised learning for detection of duplicates in genomic sequence databases
Q Chen, J Zobel, X Zhang, K Verspoor
PloS one 11 (8), e0159644, 2016
Benchmarks for measurement of duplicate detection methods in nucleotide databases
Q Chen, J Zobel, K Verspoor
Database, 2017
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