Computer and Knowledge Engineering

Computer and Knowledge Engineering

Keyword Index
A
  • Action quality assessment Context-aware Action Quality Assessment using Latent Regression-based Progressive Sub-action Learning [Volume 9, Issue 1, 2026, Pages 93-110]
  • Architectural Education Exploring Metaverse Integration in Architectural Education for Immersive Learning and Creativity [Volume 9, Issue 1, 2026, Pages 59-74]
B
  • Bipartite graph Fraud Detection Using temporal sequence embedding and Cluster-Weighted LSTM Models in Card Transactions [Volume 9, Issue 1, 2026, Pages 19-36]
C
E
  • Edge prediction Uncertain Virtual Network Embedding Using Neighborhood Information Based Edge Prediction [Volume 9, Issue 1, 2026, Pages 75-92]
  • Electronic Learning Exploring Metaverse Integration in Architectural Education for Immersive Learning and Creativity [Volume 9, Issue 1, 2026, Pages 59-74]
F
G
  • Graph clustering Uncertain Virtual Network Embedding Using Neighborhood Information Based Edge Prediction [Volume 9, Issue 1, 2026, Pages 75-92]
I
  • Immersive Learning Exploring Metaverse Integration in Architectural Education for Immersive Learning and Creativity [Volume 9, Issue 1, 2026, Pages 59-74]
  • Instance reduction A Difficulty-aware Approach to Fair Classification on Imbalanced Datasets [Volume 9, Issue 1, 2026, Pages 1-18]
  • Interference Spectrum Anomaly Detection: A Deep Learning Approach [Volume 9, Issue 1, 2026, Pages 37-58]
L
  • Long-range dependency Context-aware Action Quality Assessment using Latent Regression-based Progressive Sub-action Learning [Volume 9, Issue 1, 2026, Pages 93-110]
M
  • Metaverse Exploring Metaverse Integration in Architectural Education for Immersive Learning and Creativity [Volume 9, Issue 1, 2026, Pages 59-74]
N
  • Neighborhood information Uncertain Virtual Network Embedding Using Neighborhood Information Based Edge Prediction [Volume 9, Issue 1, 2026, Pages 75-92]
  • Node embedding Fraud Detection Using temporal sequence embedding and Cluster-Weighted LSTM Models in Card Transactions [Volume 9, Issue 1, 2026, Pages 19-36]
P
  • Progressive learning Context-aware Action Quality Assessment using Latent Regression-based Progressive Sub-action Learning [Volume 9, Issue 1, 2026, Pages 93-110]
  • Pseudo-subscore learning Context-aware Action Quality Assessment using Latent Regression-based Progressive Sub-action Learning [Volume 9, Issue 1, 2026, Pages 93-110]
R
  • Reduction rate A Difficulty-aware Approach to Fair Classification on Imbalanced Datasets [Volume 9, Issue 1, 2026, Pages 1-18]
  • Regression-based AQA Context-aware Action Quality Assessment using Latent Regression-based Progressive Sub-action Learning [Volume 9, Issue 1, 2026, Pages 93-110]
S
  • SOM classifier Uncertain Virtual Network Embedding Using Neighborhood Information Based Edge Prediction [Volume 9, Issue 1, 2026, Pages 75-92]
  • Source neighbor sequence Fraud Detection Using temporal sequence embedding and Cluster-Weighted LSTM Models in Card Transactions [Volume 9, Issue 1, 2026, Pages 19-36]
  • Spatio-temporal features Context-aware Action Quality Assessment using Latent Regression-based Progressive Sub-action Learning [Volume 9, Issue 1, 2026, Pages 93-110]
T
  • Target neighbor sequence Fraud Detection Using temporal sequence embedding and Cluster-Weighted LSTM Models in Card Transactions [Volume 9, Issue 1, 2026, Pages 19-36]
  • Temporal node embedding Fraud Detection Using temporal sequence embedding and Cluster-Weighted LSTM Models in Card Transactions [Volume 9, Issue 1, 2026, Pages 19-36]
  • Temporal semantic segmentation Context-aware Action Quality Assessment using Latent Regression-based Progressive Sub-action Learning [Volume 9, Issue 1, 2026, Pages 93-110]
U
  • Uncertain virtual network Uncertain Virtual Network Embedding Using Neighborhood Information Based Edge Prediction [Volume 9, Issue 1, 2026, Pages 75-92]
W
  • Weighted LSTM Fraud Detection Using temporal sequence embedding and Cluster-Weighted LSTM Models in Card Transactions [Volume 9, Issue 1, 2026, Pages 19-36]