All Stories

  1. Adversarial Robustness of Variational Autoencoders Across Intersectional Subgroups
  2. Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study
  3. MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs
  4. Generative AI-augmented offshore jacket design: Integrated approach for mixed tabular data generation under scarcity and imbalance
  5. Achieving Socio-Economic Parity through the Lens of EU AI Act
  6. Testing fairness measures in machine learning using an approach for designing tests in education.
  7. Learning Impartial Policies for Sequential Counterfactual Explanations Using Deep Reinforcement Learning
  8. TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE
  9. Towards Data-Driven Design of Offshore Jacket Structures
  10. Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
  11. Multi-dimensional discrimination in AI systems
  12. A Review of Clustering Models in Educational Data Science Toward Fairness-Aware Learning
  13. Evaluation of Group Fairness Measures in Student Performance Prediction Problems
  14. Multi-fair Capacitated Students-Topics Grouping Problem
  15. Bias in data‐driven artificial intelligence systems—An introductory survey
  16. Opinion Stream Mining
  17. Opinion Stream Mining
  18. Trajectory Database Systems
  19. Pattern Comparison in Data Mining