Ajit Rajasekharan

AMMUS : A Survey of Transformer-based Pretrained Models in Natural\n Language Processing

Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, S. Sangeetha · arXiv (Cornell University) · 2021 · 149 citations · Full text

Building a best-in-class automated de-identification tool for electronic health records through ensemble learning

Karthik Murugadoss, Ajit Rajasekharan, Bradley Malin et al. · Patterns · 2021 · 53 citations · Full text

AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, S. Sangeetha · arXiv (Cornell University) · 2021 · 38 citations · Full text

Llm Fine-tuning, Engineering, Machine Learning +21

Real-time analysis of a mass vaccination effort confirms the safety of FDA-authorized mRNA vaccines for COVID-19 from Moderna and Pfizer/BioNtech

Reid McMurry, Patrick J. Lenehan, Samir Awasthi et al. · 2021 · 11 citations · Full text

Vaccine-associated Adverse Effects, Immunology, Vaccine Hesitancy +21

AMMU: A survey of transformer-based biomedical pretrained language models

Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, S. Sangeetha · Journal of Biomedical Informatics · 2021 · 11 citations · Full text