AffinityNet: semi-supervised few-shot learning for disease type prediction

22 May 2018

Papers citing "AffinityNet: semi-supervised few-shot learning for disease type prediction"

14 / 14 papers shown

Title
An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains Weijie Xia Gao Peng Chenguang Wang Peter Palensky Eric Pauwels Pedro P. Vergara 27 0 0 15 Aug 2024
Deep Transfer Learning for Kidney Cancer Diagnosis Yassine Habchi Hamza Kheddar Yassine Himeur A. Boukabou Shadi Atalla W. Mansoor Hussain Al-Ahmad 40 5 0 08 Aug 2024
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications Jiatai Lin Guoqiang Han Xuemiao Xu C. Liang T. Wong C. L. P. Chen Zaiyi Liu Chu Han VLM 22 1 0 07 Sep 2023
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework Jannatul Nayem Sayed Sahriar Hasan Noshin Amina Bristy Das Md. Shahin Ali M. Ahsan S. Raman 16 10 0 08 May 2023
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning Chong Ma Lin Zhao Yuzhong Chen Lu Zhang Zhe Xiao ... Tuo Zhang Qian Wang Dinggang Shen Dajiang Zhu Tianming Liu ViT MedIm 36 30 0 25 May 2022
Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics Data Sophie Peacock Etai Jacob Nikolay Burlutskiy AI4CE 14 2 0 28 Apr 2022
IA-GCN: Interactive Graph Convolutional Network for Recommendation Yinan Zhang Pei Wang Congcong Liu Xiwei Zhao Hao Qi Jie He Junsheng Jin Changping Peng Zhangang Lin Jingping Shao GNN 24 6 0 08 Apr 2022
Deep learning for drug repurposing: methods, databases, and applications Xiao Pan Xuan Lin Dongsheng Cao Xiangxiang Zeng Philip S. Yu Lifang He R. Nussinov F. Cheng 25 124 0 08 Feb 2022
OmiEmbed: a unified multi-task deep learning framework for multi-omics data Xiaoyu Zhang Yuting Xing Kai Sun Yike Guo 17 60 0 03 Feb 2021
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification Yan Xiao Yaochu Jin K. Hao 42 43 0 10 Jan 2021
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 27 225 0 30 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 14 47 0 06 Sep 2020
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction Ziyi Yang Jun Shu Yong Liang Deyu Meng Zongben Xu 6 2 0 02 Sep 2020
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling Yadan Luo Zi Huang Zheng-Wei Zhang Ziwei Wang Mahsa Baktashmotlagh Yang Yang CLL BDL 15 22 0 12 Nov 2019