All Stories

  1. Human-in-the-loop transfer learning in collision avoidance of autonomous robots
  2. A new method for creating maps using neural networks
  3. Human-Guided Transfer Learning for Autonomous Robot
  4. Topological Neural Networks: theory and applications
  5. Review of: "Interpreting the loss functions of Artificial neural networks in cancer research"
  6. Fibonacci Level Adjustment for Optimizing Player’s Performance and Engagement
  7. Eye Contact as a New Modality for Man-machine Interface
  8. An In-Depth Analysis of Cooperative Multi-Robot Hierarchical Reinforcement Learning
  9. Using inverse learning for controlling bionic robotic fish with SMA actuators
  10. Similarity Learning and Visualization with Siamese Topological Networks
  11. Explainable classifier for improving the accountability in decision-making for colorectal cancer diagnosis from histopathological images
  12. Mixing Autoencoder With Classifier: Conceptual Data Visualization
  13. Similarity maps and pairwise predictions for transmission dynamics of COVID-19 with neural networks
  14. topographical internal layers are good for hierarchical neural networks.
  15. A new cancer classifier
  16. Cumulative fuzzy class membership criterion decision-based classifier
  17. Pairwise elastic self-organizing maps
  18. Classification and dimensional reduction using restricted radial basis function networks
  19. Learning-Regulated Context Relevant Topographical Map
  20. The acquisition process of musical tonal schema: implications from connectionist modeling
  21. Automatic Playlist Generation from Self-Organizing Music Map
  22. Computational Intelligence for Creating Autonomous Robots
  23. Adaptive Coupled Oscillators for Modular Robots
  24. Fast reinforcement learning for simple physical robots
  25. Learning from imperfect data
  26. EXTRACTING THE PRINCIPAL BEHAVIOR OF A PROBABILISTIC SUPERVISOR THROUGH NEURAL NETWORKS ENSEMBLE
  27. Sound database retrieved by sound