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| 197 | -- | 199 | Julia Stoyanovich, Jay J. Van Bavel, Tessa V. West. The imperative of interpretable machines |
| 200 | -- | 209 | Benjamin A. Rizkin, Albert S. Shkolnik, Neil J. Ferraro, Ryan L. Hartman. Combining automated microfluidic experimentation with machine learning for efficient polymerization design |
| 210 | -- | 219 | William Lotter, Gabriel Kreiman, David D. Cox. A neural network trained for prediction mimics diverse features of biological neurons and perception |
| 220 | -- | 227 | Ruibang Luo, Chak-Lim Wong, Yat-Sing Wong, Chi Ian Tang, Chi-Man Liu, Chi Ming Leung, Tak Wah Lam. Exploring the limit of using a deep neural network on pileup data for germline variant calling |
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