Published in Nature Communications, 2021
This paper is about our work extending AlphaFold2 to multimeric proteins.
Gao, M., **Nakajima An, D.**, Parks, J.M. et al. AF2Complex predicts direct physical interactions in multimeric proteins with deep learning. Nat Commun 13, 1744 (2022). https://doi.org/10.1038/s41467-022-29394-2 https://rdcu.be/cKnut
Published in 146th Annual Meeting of the American Neurological Association, 2020
In this poster presentation, we present the application of an interactively trained labeling-rule-based DL system to classify clinical and scientific text in neurology fields.
**An, Davi Nakajima**, Kartchner, D., Zhang, C., & Mitchell, C. S. (2021, October). Deep Learning System for Labeling Neurology Text for Predictive Medicine. In ANNALS OF NEUROLOGY (Vol. 90, pp. S159-S160). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY.
Published in NeurIPS 2020 Workshop on Human And Model in the Loop Evaluation and Training Strategies, 2020
In this workshop paper, we present our interactive weak supervision model for text classification
David Kartchner, Wendi Ren, **Davi Nakajima An**, Chao Zhang, and Cassie S. Mitchell. ReGAL: Rule-Generative Active Learning for Model-in-the-Loop Weak Supervision. Retrieved from https://par.nsf.gov/biblio/10286627. Advances in neural information processing systems .