ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.04073
  4. Cited By
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in
  Hepatocellular Carcinoma

Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma

8 May 2020
Kaixin Xu
Ziyuan Zhao
J. Gu
Zeng Zeng
Chan Wan Ying
Lim Kheng Choon
Thng Choon Hua
P. Chow
ArXiv (abs)PDFHTML

Papers citing "Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma"

6 / 6 papers shown
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with
  Diverse Inter-Correlations and its application to medical image
  classification
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classificationIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2022
Qi Lai
Jianhang Zhou
Yanfen Gan
Chi-Man Vong
Deshuang Huang
302
11
0
06 Sep 2022
Too Fine or Too Coarse? The Goldilocks Composition of Data Complexity
  for Robust Left-Right Eye-Tracking Classifiers
Too Fine or Too Coarse? The Goldilocks Composition of Data Complexity for Robust Left-Right Eye-Tracking Classifiers
Brian Xiang
Abdelrahman Abdelmonsef
321
2
0
24 Aug 2022
Vector-Based Data Improves Left-Right Eye-Tracking Classifier
  Performance After a Covariate Distributional Shift
Vector-Based Data Improves Left-Right Eye-Tracking Classifier Performance After a Covariate Distributional ShiftInteracción (IN), 2022
Brian Xiang
Abdelrahman Abdelmonsef
OOD
226
4
0
31 Jul 2022
BrainActivity1: A Framework of EEG Data Collection and Machine Learning
  Analysis for College Students
BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College StudentsInteracción (IN), 2022
Zheng Zhou
Guangyao Dou
Xiaodong Qu
329
20
0
27 Jul 2022
Object-Aware Self-supervised Multi-Label Learning
Object-Aware Self-supervised Multi-Label LearningInternational Conference on Information Photonics (ICIP), 2022
Kaixin Xu
Liu Liyang
Ziyuan Zhao
Zeng Zeng
B. Veeravalli
257
3
0
14 May 2022
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor
  Segmentation
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation
Ziyuan Zhao
Zeyu Ma
Yanjie Liu
Zeng Zeng
P. Chow
249
13
0
15 Aug 2021
1
Page 1 of 1