Sangdi Lin

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 7

Top Topics

Variable Selection

Anomaly Detection

Supervised Learning

Top Venues

IEEE Trans. Knowl. Data Eng.

IEEE ACM Trans. Comput. Biol. Bioinform.

Arizona State University, Tempe, USA (PHD)

Education History

Arizona State University, Tempe, USA

PHD

Publications

Sangdi Lin, Bahareh Azarnoush, George C. Runger
MTBR: Multi-Target Boosting for Regression. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Tianshu Feng, Jaime I. Dávila, Yuanhang Liu, Sangdi Lin, Shuai Huang, Chen Wang
Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Egor Klevak, Sangdi Lin, Andy Martin, Ondrej Linda, Eric Ringger
Out-Of-Bag Anomaly Detection. CoRR (2020)
Harshal A. Chaudhari, Sangdi Lin, Ondrej Linda
A General Framework for Fairness in Multistakeholder Recommendations. CoRR (2020)
Nooshin Shomal Zadeh, Sangdi Lin, George C. Runger
Matched Forest: supervised learning for high-dimensional matched case-control studies. Bioinform. 36 (5) (2020)
Sangdi Lin, Bahareh Azarnoush, George C. Runger
CRAFTER: A Tree-Ensemble Clustering Algorithm for Static Datasets with Mixed Attributes and High Dimensionality. IEEE Trans. Knowl. Data Eng. 30 (9) (2018)
Sangdi Lin, George C. Runger
GCRNN: Group-Constrained Convolutional Recurrent Neural Network. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)