A graph neural network-based node classification model on class-imbalanced graph data

Feature Map Distillation of Thin Nets for Low-Resolution Object Recognition

(2022) Zhenhua Huang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Constructing Classifiers for Imbalanced Data using Diversity Optimisation

(2021) Hadi A. Khorshidi et al.   INFORMATION SCIENCES

A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation

(2021) Ioan-Daniel Borlea et al.   KNOWLEDGE-BASED SYSTEMS

Predicting potential knowledge convergence of solar energy: bibliometric analysis based on link prediction model

(2021) Yueran Duan et al.   SCIENTOMETRICS

A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors

(2021) Junnan Li et al.   INFORMATION SCIENCES

A Novel Group Recommendation Model With Two-Stage Deep Learning

(2021) Zhenhua Huang et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis

(2020) Agostina J. Larrazabal et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Performance evaluation method for network monitoring based on separable temporal exponential random graph models with application to the study of autocorrelation effects

(2020) Panpan Zhou et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Multi-view ensemble learning based on distance-to-model and adaptive clustering for imbalanced credit risk assessment in P2P lending

(2020) Yu Song et al.   INFORMATION SCIENCES

Building a PubMed knowledge graph

(2020) Jian Xu et al.   Scientific Data

Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise

(2020) Michał Koziarski et al.   KNOWLEDGE-BASED SYSTEMS

Biased ReLU Neural Networks

(2020) XingLong Liang et al.   NEUROCOMPUTING

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

(2020) Fabian Isensee et al.   NATURE METHODS

A Comprehensive Survey on Graph Neural Networks

(2020) Zonghan Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis

(2020) Mohammad Ehsan Basiri et al.   Future Generation Computer Systems-The International Journal of eScience

MobileGCN applied to low-dimensional node feature learning

(2020) Wei Dong et al.   PATTERN RECOGNITION

Radial-Based oversampling for noisy imbalanced data classification

(2019) Michał Koziarski et al.   NEUROCOMPUTING

Imbalanced Deep Learning by Minority Class Incremental Rectification

(2018) Qi Dong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Under-sampling class imbalanced datasets by combining clustering analysis and instance selection

(2018) Chih-Fong Tsai et al.   INFORMATION SCIENCES

A Noise-Filtered Under-Sampling Scheme for Imbalanced Classification

(2017) Qi Kang et al.   IEEE Transactions on Cybernetics

An instance level analysis of data complexity

(2013) Michael R. Smith et al.   MACHINE LEARNING