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Patterns (New York, N.Y.)|April 25, 2022
Erratum: Gender bias, social bias, and representation in Bollywood and HollywoodKunal Khadilkar, Ashiqur R KhudaBukhsh, Tom M MitchellPatterns (New York, N.Y.)|April 25, 2022
Machine vision-assisted identification of the lung adenocarcinoma category and high-risk tumor area based on CT imagesLiuyin Chen, Haoyang Qi, Di Lu, et al.Patterns (New York, N.Y.)|April 25, 2022
Hierarchical confounder discovery in the experiment-machine learning cycleAlex Rogozhnikov, Pavan Ramkumar, Rishi Bedi, et al.Patterns (New York, N.Y.)|September 23, 2021
A graph-traversal approach to identify influential nodes in a networkYan Liu, Xiaoqi Wei, Wenfang Chen, et al.Patterns (New York, N.Y.)|September 23, 2021
Capture the high-efficiency non-fullerene ternary organic solar cells formula by machine-learning-assisted energy-level alignment optimizationTianyu Hao, Shifeng Leng, Yankang Yang, et al.Patterns (New York, N.Y.)|August 25, 2020
A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 PandemicsYichao Zheng, Yinheng Zhu, Mengqi Ji, et al.Patterns (New York, N.Y.)|July 24, 2020
Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson's DiseaseHanrui Zhang, Kaiwen Deng, Hongyang Li, et al.Patterns (New York, N.Y.)|May 1, 2023
Accelerating health system innovation: principles and practices from the Duke Institute for Health InnovationSahil Sandhu, Mark P Sendak, William Ratliff, et al.Patterns (New York, N.Y.)|May 1, 2023
Improving molecular representation learning with metric learning-enhanced optimal transportFang Wu, Nicolas Courty, Shuting Jin, et al.Patterns (New York, N.Y.)|May 1, 2023
SynapseCLR: Uncovering features of synapses in primary visual cortex through contrastive representation learningAlyssa Wilson, Mehrtash BabadiPageof 91