CRAFTER: A Tree-Ensemble Clustering Algorithm for Static Datasets with Mixed Attributes and High Dimensionality. - Sangdi Lin; Bahareh Azarnoush; George C. Runger (IEEE Trans. Knowl. Data Eng., 2018)

GCRNN: Group-Constrained Convolutional Recurrent Neural Network. - Sangdi Lin; George C. Runger (IEEE Trans. Neural Networks Learn. Syst., 2018)

Machine Learning Models for High-dimensional Biomedical Data. - Sangdi Lin (2018)

Matched Forest: supervised learning for high-dimensional matched case-control studies. - Nooshin Shomal Zadeh; Sangdi Lin; George C. Runger (Bioinform., 2020)

A General Framework for Fairness in Multistakeholder Recommendations. - Harshal A. Chaudhari; Sangdi Lin; Ondrej Linda (CoRR, 2020)

Out-Of-Bag Anomaly Detection. - Egor Klevak; Sangdi Lin; Andy Martin; Ondrej Linda; Eric Ringger (CoRR, 2020)

Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets. - Tianshu Feng; Jaime I. Dávila; Yuanhang Liu; Sangdi Lin; Shuai Huang 001; Chen Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

MTBR: Multi-Target Boosting for Regression. - Sangdi Lin; Bahareh Azarnoush; George C. Runger (IEEE Trans. Knowl. Data Eng., 2021)