LitMC-BERT: Transformer-Based Multi-Label Classification of Biomedical Literature With An Application on COVID-19 Literature Curation

The swift knowledge development path of COVID-19 research: the first 150 days

(2021) Mei Hsiu-Ching Ho et al.   SCIENTOMETRICS

Benchmarking Effectiveness and Efficiency of Deep Learning Models for Semantic Textual Similarity in the Clinical Domain: Validation Study

(2021) Qingyu Chen et al.   JMIR Medical Informatics

Keep up with the latest coronavirus research

(2020) Qingyu Chen et al.   NATURE

BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale

(2020) Qingyu Chen et al.   PLoS Computational Biology

Quality Matters: Biocuration Experts on the Impact of Duplication and Other Data Quality Issues in Biological Databases

(2020) Qingyu Chen et al.   GENOMICS PROTEOMICS & BIOINFORMATICS

Pandemic publishing poses a new COVID-19 challenge

(2020) Adam Palayew et al.   Nature Human Behaviour

Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration

(2020) Qingyu Chen et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

BioWordVec, improving biomedical word embeddings with subword information and MeSH

(2019) Yijia Zhang et al.   Scientific Data

Prediction of FMN Binding Sites in Electron Transport Chains Based on 2-D CNN and PSSM Profiles

(2019) Nguyen-Quoc-Khanh Le et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Binary relevance for multi-label learning: an overview

(2018) Min-Ling Zhang et al.   Frontiers of Computer Science

Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine

(2018) Rezarta Islamaj Doğan et al.   Database-The Journal of Biological Databases and Curation

Community challenges in biomedical text mining over 10 years: success, failure and the future

(2015) Chung-Chi Huang et al.   BRIEFINGS IN BIOINFORMATICS

Multi-label learning: a review of the state of the art and ongoing research

(2014) Eva Gibaja et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Accelerating literature curation with text-mining tools: a case study of using PubTator to curate genes in PubMed abstracts

(2012) C.-H. Wei et al.   Database-The Journal of Biological Databases and Curation

Classifier chains for multi-label classification

(2011) Jesse Read et al.   MACHINE LEARNING