Tourism Scene Analysis Through CNN-based Multi-Label Transfer Learning

2021 ◽  
Vol 29 (4) ◽  
pp. 15-26
Author(s):  
Ji Young Yoon ◽  
Young Ok Kang
Keyword(s):  
Transfer Learning ◽  
Scene Analysis ◽  
Label Transfer

scholarly journals scJoint: transfer learning for data integration of single-cell RNA-seq and ATAC-seq

2021 ◽  
Author(s):  
Yingxin Lin ◽  
Tung-Yu Wu ◽  
Sheng Wan ◽  
Jean Y.H. Yang ◽  
Y. X. Rachel Wang ◽  
...  
Keyword(s):  
Single Cell ◽  
Transfer Learning ◽  
Dimensional Space ◽  
Rna Seq ◽  
Integrative Framework ◽  
Label Transfer ◽  
Unlabelled Data ◽  
Cellular Phenotypes ◽  
Transfer Accuracy ◽  
Lower Dimensional Space

AbstractSingle-cell multi-omics data continues to grow at an unprecedented pace, and while integrating different modalities holds the promise for better characterisation of cell identities, it remains a significant computational challenge. In particular, extreme sparsity is a hallmark in many modalities such as scATAC-seq data and often limits their power in cell type identification. Here we present scJoint, a transfer learning method to integrate heterogeneous collections of scRNA-seq and scATAC-seq data. scJoint uses a neural network to simultaneously train labelled and unlabelled data and embed cells from both modalities in a common lower dimensional space, enabling label transfer and joint visualisation in an integrative framework. We demonstrate scJoint consistently provides meaningful joint visualisations and achieves significantly higher label transfer accuracy than existing methods using a complex cell atlas data and a biologically varying multi-modal data. This suggests scJoint is effective in overcoming the heterogeneity in different modalities towards a more comprehensive understanding of cellular phenotypes.

Multi-label transfer learning via latent graph alignment

2021 ◽  
Author(s):  
Jianghui Sang ◽  
Yongli Wang ◽  
Long Yuan ◽  
Hao Li ◽  
Xiaohui Jiang
Keyword(s):  
Transfer Learning ◽  
Graph Alignment ◽  
Label Transfer

scholarly journals Multi-Label Transfer Learning With Sparse Representation

2010 ◽  
Vol 20 (8) ◽  
pp. 1110-1121 ◽  
Author(s):  
Yahong Han ◽  
Fei Wu ◽  
Yueting Zhuang ◽  
Xiaofei He
Keyword(s):  
Sparse Representation ◽  
Transfer Learning ◽  
Label Transfer

Multi-Label Transfer Learning for Identifying Lung Diseases using Chest X-Rays

2021 ◽  
Author(s):  
Azza El-Fiky ◽  
Marwa Ahmed Shouman ◽  
Salwa Hamada ◽  
Ayman El-Sayed ◽  
Mohamed Esmail Karar
Keyword(s):  
Transfer Learning ◽  
Lung Diseases ◽  
X Rays ◽  
Label Transfer

Multi-label transfer learning for the early diagnosis of breast cancer

2020 ◽  
Vol 392 ◽  
pp. 168-180 ◽  
Author(s):  
Hiba Chougrad ◽  
Hamid Zouaki ◽  
Omar Alheyane
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Transfer Learning ◽  
Label Transfer

scholarly journals Protein function prediction through multi-instance multi-label transfer learning

2017 ◽  
Vol 47 (11) ◽  
pp. 1538-1550
Author(s):  
Jiansheng WU ◽  
Mao ZHENG ◽  
Haifeng HU ◽  
Weijian WU ◽  
Jun WANG
Keyword(s):  
Transfer Learning ◽  
Protein Function ◽  
Protein Function Prediction ◽  
Function Prediction ◽  
Label Transfer
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