Scalable and accurate deep learning for electronic health records. - Alvin Rajkomar; Eyal Oren; Kai Chen 010; Andrew M. Dai; Nissan Hajaj; Peter J. Liu; Xiaobing Liu; Mimi Sun; Patrik Sundberg; Hector Yee; Kun Zhang 043; Gavin E. Duggan; et al. (CoRR, 2018)

Scalable and accurate deep learning with electronic health records. - Alvin Rajkomar; Eyal Oren; Kai Chen 010; Andrew M. Dai; Nissan Hajaj; Michaela Hardt; Peter J. Liu; Xiaobing Liu; Jake Marcus; Mimi Sun; Patrik Sundberg; Hector Yee; et al. (npj Digit. Medicine, 2018)

Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow. - Kanit Wongsuphasawat; Daniel Smilkov; James Wexler; Jimbo Wilson; Dandelion Mané; Doug Fritz; Dilip Krishnan; Fernanda B. Viégas; Martin Wattenberg (IEEE Trans. Vis. Comput. Graph., 2018)

The What-If Tool: Interactive Probing of Machine Learning Models. - James Wexler; Mahima Pushkarna; Tolga Bolukbasi; Martin Wattenberg; Fernanda B. Viégas; Jimbo Wilson (IEEE Trans. Vis. Comput. Graph., 2020)