Sangdi Lin - researchr alias

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Viewing Publication 1 - 6 from 6

2021

Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome DatasetsTianshu Feng, Jaime I. Dávila, Yuanhang Liu, Sangdi Lin, Shuai Huang, Chen Wang 0001. tcbb, 18(4):1620-1631, 2021. [doi]

MTBR: Multi-Target Boosting for RegressionSangdi Lin, Bahareh Azarnoush, George C. Runger. tkde, 33(2):626-636, 2021. [doi]

2020

Matched Forest: supervised learning for high-dimensional matched case-control studiesNooshin Shomal Zadeh, Sangdi Lin, George C. Runger. bioinformatics, 36(5):1570-1576, 2020. [doi]

2018

CRAFTER: A Tree-Ensemble Clustering Algorithm for Static Datasets with Mixed Attributes and High DimensionalitySangdi Lin, Bahareh Azarnoush, George C. Runger. tkde, 30(9):1686-1696, 2018. [doi]

GCRNN: Group-Constrained Convolutional Recurrent Neural NetworkSangdi Lin, George C. Runger. tnn, 29(10):4709-4718, 2018. [doi]

Machine Learning Models for High-dimensional Biomedical DataSangdi Lin. PhD thesis, Arizona State University, Tempe, USA, 2018. [doi]

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