All Stories

  1. Domain Ontology-Driven Knowledge Graph Generation from Text
  2. Learning fair representations via rebalancing graph structure
  3. Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey
  4. SEM-FCNET: Semantic Feature Enhancement and Fully Convolutional Network Model for Remote Sensing Object Detection
  5. Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables
  6. Local Search for Efficient Causal Effect Estimation
  7. Disentangled Representation for Causal Mediation Analysis
  8. FPGNN: Fair path graph neural network for mitigating discrimination
  9. Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data
  10. Ancestral Instrument Method for Causal Inference without Complete Knowledge
  11. Information Augmentation for Few-shot Node Classification
  12. Sufficient dimension reduction for average causal effect estimation
  13. Assessing Classifier Fairness with Collider Bias
  14. Application of ToF-SIMS to predict contact angles of pyrite particles
  15. A novel k NN algorithm with data-driven k parameter computation
  16. Supervised feature selection algorithm via discriminative ridge regression
  17. Self-representation dimensionality reduction for multi-model classification
  18. Unsupervised feature selection for visual classification via feature-representation property
  19. Learning k for kNN Classification
  20. Graph self-representation method for unsupervised feature selection
  21. Spectral clustering based on hypergraph and self-re-presentation
  22. Double sparse-representation feature selection algorithm for classification
  23. Low-rank feature selection for multi-view regression
  24. Leverage triple relational structures via low-rank feature reduction for multi-output regression
  25. Low-rank unsupervised graph feature selection via feature self-representation
  26. Efficient subspace clustering based on self-representation and grouping effect
  27. Sparse sample self-representation for subspace clustering
  28. Efficient kNN classification algorithm for big data
  29. Graph feature selection for dementia diagnosis
  30. Self-representation nearest neighbor search for classification
  31. Feature selection by combining subspace learning with sparse representation
  32. kNN Algorithm with Data-Driven k Value
  33. Improved Spectral Clustering Algorithm Based on Similarity Measure
  34. Efficient kNN Algorithm Based on Graph Sparse Reconstruction