Thai-Hoang Pham
The Ohio State University(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Machine Learning in Healthcare, Computational Drug Discovery Methods, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing(2021)215 cited
- An Empirical Study on Fine-Grained Named Entity Recognition(2018)
- → End-to-End Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-Level Vs. Character-Level(2018)33 cited
- → Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing(2022)28 cited
- → TransICD: Transformer Based Code-Wise Attention Model for Explainable ICD Coding(2021)27 cited
- → FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery(2022)12 cited
- → A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach(2022)10 cited
- → A deep learning framework for high-throughput mechanism-driven phenotype compound screening(2020)9 cited
- → The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition(2017)7 cited