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  1. The Creative Mind: Myths and Mechanisms Dagstuhl‏‎ (00:07, 15. Nov. 2015)
  2. Seven Catchy Phrases for Computational Creativity Research‏‎ (00:08, 15. Nov. 2015)
  3. Simulating Morphogenesis‏‎ (00:08, 15. Nov. 2015)
  4. Stimulating creative flow through computational feedback‏‎ (00:09, 15. Nov. 2015)
  5. Strategies for creating new informational primitives in minds and machines‏‎ (00:11, 15. Nov. 2015)
  6. The Art of Self-Assembly: the Self-Assemby of Art‏‎ (00:12, 15. Nov. 2015)
  7. Thoughts on Computational Creativity Position‏‎ (00:14, 15. Nov. 2015)
  8. Feature Discovery by Deep Learning for Aesthetic Analysis of Evolved Abstract Images‏‎ (15:39, 15. Nov. 2015)
  9. Avoidance Drawings Evolved Using Virtual Drawing Robots‏‎ (15:57, 15. Nov. 2015)
  10. Evotype: Evolutionary Type Design‏‎ (16:11, 15. Nov. 2015)
  11. Interior Illumination Design Using Genetic Programming‏‎ (22:11, 15. Nov. 2015)
  12. Evolving Diverse Design Populations Using Fitness Sharing and Random Forest Based Fitness Approximation‏‎ (23:11, 15. Nov. 2015)
  13. Biological Content Generation: Evolving Game Terrains Through Living Organisms‏‎ (23:18, 15. Nov. 2015)
  14. DrawCompileEvolve: Sparking Interactive Evolutionary Art with Human Creations‏‎ (23:40, 15. Nov. 2015)
  15. A self organizing map based method for understanding features associated with high aesthetic value evolved abstract images‏‎ (14:21, 16. Nov. 2015)
  16. Semantics and aesthetics inference for image search: statistical learning approaches‏‎ (14:42, 16. Nov. 2015)
  17. Detecting people in cubist art‏‎ (14:54, 16. Nov. 2015)
  18. Rapid: Rating pictorial aesthetics using deep learning‏‎ (21:49, 16. Nov. 2015)
  19. Generation and evaluation of artworks‏‎ (14:41, 17. Nov. 2015)
  20. Aesthetic image rating (AIR) algorithm‏‎ (14:57, 17. Nov. 2015)
  21. Computational beauty: Aesthetic judgment at the intersection of art and science‏‎ (15:14, 17. Nov. 2015)
  22. Bridges 2014‏‎ (15:16, 17. Nov. 2015)
  23. Taking a Point for a Walk: Pattern Formation with Self-Interacting Curves‏‎ (19:56, 17. Nov. 2015)
  24. Gary Greenfield‏‎ (20:01, 17. Nov. 2015)
  25. Evolved look-up tables for simulated DNA controlled robots‏‎ (20:10, 17. Nov. 2015)
  26. The alphabet synthesis machine‏‎ (20:42, 17. Nov. 2015)
  27. An interactive system for solving inverse illumination problems using genetic algorithms‏‎ (12:02, 18. Nov. 2015)
  28. Generation of energy-efficient architecture solutions applying GENE ARCH: An evolution-based generative design system‏‎ (12:12, 18. Nov. 2015)
  29. GENE ARCH: An Evolution-Based Generative Design System for Sustainable Architecture‏‎ (12:26, 18. Nov. 2015)
  30. An Evolution-Based Generative Design System: Using Adaptation to Shape Architectural Form‏‎ (12:37, 18. Nov. 2015)
  31. Induction Design: A Method for Evolutionary Design‏‎ (12:12, 23. Nov. 2015)
  32. Techniques for highly multiobjective optimisation: some nondominated points are better than others‏‎ (12:33, 23. Nov. 2015)
  33. Exploration and exploitation in evolutionary algorithms: a survey‏‎ (14:25, 25. Nov. 2015)
  34. Fit and diverse: set evolution for inspiring 3D shape galleries‏‎ (14:47, 25. Nov. 2015)
  35. Applying a hybrid approach based on fuzzy neural network and genetic algorithm to product form design‏‎ (14:56, 25. Nov. 2015)
  36. Why Simulate? Hybrid Biological-Digital Games‏‎ (15:10, 25. Nov. 2015)
  37. Hybrid Biological-Digital Systems in Artistic and Entertainment Computing‏‎ (14:17, 26. Nov. 2015)
  38. Adaptive game level creation through rank-based interactive evolution‏‎ (14:54, 26. Nov. 2015)
  39. Upload any object and evolve it: injecting complex geometric patterns into CPPNs for further evolution‏‎ (20:43, 27. Nov. 2015)
  40. A compiler for CPPNs: transforming phenotypic descriptions into genotypic representations‏‎ (17:31, 28. Nov. 2015)
  41. The case for a mixed-initiative collaborative neuroevolution approach‏‎ (17:39, 28. Nov. 2015)
  42. Preference Learning: An Introduction‏‎ (00:01, 29. Nov. 2015)
  43. A Preference Optimization Based Unifying Framework for Supervised Learning Problems‏‎ (00:17, 29. Nov. 2015)
  44. Label Ranking Algorithms: A Survey‏‎ (13:10, 29. Nov. 2015)
  45. Preference Learning and Ranking by Pairwise Comparison‏‎ (13:24, 29. Nov. 2015)
  46. Co-Regularized Least-Squares for Label Ranking‏‎ (13:47, 29. Nov. 2015)
  47. Learning Lexicographic Preference Models‏‎ (13:03, 30. Nov. 2015)
  48. Decision Tree Modeling for Ranking Data‏‎ (13:04, 30. Nov. 2015)
  49. A Survey on ROC-based Ordinal Regression‏‎ (13:05, 30. Nov. 2015)
  50. Ranking Cases with Classification Rules‏‎ (13:05, 30. Nov. 2015)

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