All Stories

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