Sangdi Lin

According to our database, Sangdi Lin authored at least 8 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

MTBR: Multi-Target Boosting for Regression.

Sangdi Lin, Bahareh Azarnoush, George C. Runger

IEEE Trans. Knowl. Data Eng., 2021

Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets.

Tianshu Feng, Jaime I. Dávila, Yuanhang Liu, Sangdi Lin, Shuai Huang, Chen Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

2020

Out-Of-Bag Anomaly Detection.

Egor Klevak, Sangdi Lin, Andy Martin, Ondrej Linda, Eric Ringger

CoRR, 2020

A General Framework for Fairness in Multistakeholder Recommendations.

Harshal A. Chaudhari, Sangdi Lin, Ondrej Linda

CoRR, 2020

Matched Forest: supervised learning for high-dimensional matched case-control studies.

Nooshin Shomal Zadeh, Sangdi Lin, George C. Runger

Bioinform., 2020

2018

Machine Learning Models for High-dimensional Biomedical Data.

Sangdi Lin

PhD thesis, 2018

GCRNN: Group-Constrained Convolutional Recurrent Neural Network.

Sangdi Lin, George C. Runger

IEEE Trans. Neural Networks Learn. Syst., 2018

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