Seguir
YINGFAN WANG
YINGFAN WANG
PhD Candidate of Computer Science, Duke University
E-mail confirmado em duke.edu
Título
Citado por
Citado por
Ano
Understanding how dimension reduction tools work: an empirical approach to deciphering t-SNE, UMAP, TriMAP, and PaCMAP for data visualization
Y Wang, H Huang, C Rudin, Y Shaposhnik
Journal of Machine Learning Research 22 (201), 1-73, 2021
2692021
Towards a comprehensive evaluation of dimension reduction methods for transcriptomic data visualization
H Huang, Y Wang, C Rudin, EP Browne
Communications biology 5 (1), 719, 2022
432022
Approximate group fairness for clustering
B Li, L Li, A Sun, C Wang, Y Wang
International conference on machine learning, 6381-6391, 2021
172021
Machine learning approaches identify immunologic signatures of total and intact HIV DNA during long-term antiretroviral therapy.
L Semenova, Y Wang, SD Falcinelli, N Archin, AD Cooper-Volkheimer, ...
bioRxiv, 2023.11. 16.567386, 2023
2023
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–4