All Stories

  1. A Practical Tutorial on Agentic AI
  2. Discovery of postoperative clinical states linked to cardiac surgery-associated acute kidney injury
  3. Beyond Correlations: The Necessity and the Challenges of Causal AI
  4. How Biased Data Can Mislead Medical AI, and a New Way to Address Data Bias
  5. Beyond Correlations: The Necessity and the Challenges of Causal AI
  6. Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
  7. Temporal dynamics unleashed: Elevating variational graph attention
  8. A brief review of hypernetworks in deep learning
  9. Trolley Optimisation for Loading Printed Circuit Board Components
  10. CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
  11. Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
  12. Continuous patient state attention model for addressing irregularity in electronic health records
  13. HCR-Net: a deep learning based script independent handwritten character recognition network
  14. CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation using Graph Neural Networks
  15. Exploitation of material consolidation trade-offs in multi-tier complex supply networks
  16. 1567P The effect of SGLT2i and DPP4i on new-onset gastric cancer and gastric diseases in type 2 diabetes mellitus: A population-based cohort study
  17. Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey
  18. Improving Diagnostics with Deep Forest Applied to Electronic Health Records
  19. Comparing the risks of new-onset gastric cancer or gastric diseases in type 2 diabetes mellitus patients exposed to SGLT2I, DPP4I or GLP1A: a population-based cohort study
  20. Network science approach for identifying disruptive elements of an airline
  21. Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing
  22. Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints
  23. Continuous Patient State Attention Models
  24. A data-driven method to assess the causes and impact of delay propagation in air transportation systems
  25. COPER: Continuous Patient State Perceiver
  26. LIBS2ML: A library for scalable second order machine learning algorithms
  27. Stochastic Optimization for Large-scale Machine Learning
  28. Online handwritten Gurmukhi word recognition using fine-tuned Deep Convolutional Neural Network on offline features
  29. The relationship between nested patterns and the ripple effect in complex supply networks
  30. A self controlled RDP approach for feature extraction in online handwriting recognition using deep learning
  31. Stochastic trust region inexact Newton method for large-scale machine learning
  32. SAAGs: Biased stochastic variance reduction methods for large-scale learning
  33. Faster learning by reduction of data access time
  34. Problem formulations and solvers in linear SVM: a review
  35. Trust Region Levenberg-Marquardt Method for Linear SVM
  36. Online Support Vector Machine Based on Minimum Euclidean Distance