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  1. A machine learning approach to inductive query by examples: an experiment using relevance feedback, ID3, genetic algorithms, and simulated annealing‏‎ (16:02, 25. Jun. 2016)
  2. Automatically improving the accuracy of user profile with genetic algorithm‏‎ (16:12, 25. Jun. 2016)
  3. Evolutionary learning of Boolean queries by multiobjective genetic programming‏‎ (21:58, 25. Jun. 2016)
  4. Analyzing the performance of a multiobjective GA-P algorithm for learning fuzzy queries in a machine learning environment‏‎ (22:06, 25. Jun. 2016)
  5. A GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system‏‎ (22:22, 25. Jun. 2016)
  6. A new evolutionary algorithm combining simulated annealing and genetic programming for relevance feedback in fuzzy information retrieval systems‏‎ (22:30, 25. Jun. 2016)
  7. Automatic learning of multiple extended Boolean queries by multiobjective GA-P algorithms‏‎ (22:44, 25. Jun. 2016)
  8. Automatic generation of a matching function by genetic programming for effective information retrieval‏‎ (22:55, 25. Jun. 2016)
  9. Discovery of context-specific ranking functions for effective information retrieval using genetic programming‏‎ (12:59, 26. Jun. 2016)
  10. Investigation of the importance of the genotype–phenotype mapping in information retrieval‏‎ (13:06, 26. Jun. 2016)
  11. Probabilistic and genetic algorithms for document retrieval‏‎ (13:15, 26. Jun. 2016)
  12. User-based document clustering by redescribing subject description with a genetic algorithm‏‎ (13:25, 26. Jun. 2016)
  13. Applying genetic algorithms to query optimization in document retrieval‏‎ (13:32, 26. Jun. 2016)
  14. Content-based retrieval using a multi-objective genetic algorithm‏‎ (13:41, 26. Jun. 2016)
  15. Using genetic feature selection for optimizing user profile‏‎ (13:56, 26. Jun. 2016)
  16. An Evolutionary Approach to Automatic Web Page Categorization and Updating‏‎ (14:14, 26. Jun. 2016)
  17. A test of genetic algorithms in relevance feedback‏‎ (14:21, 26. Jun. 2016)
  18. Genetic algorithms in relevance feedback: a second test and new contributions‏‎ (22:51, 26. Jun. 2016)
  19. Order-based fitness functions for genetic algorithms applied to relevance feedback‏‎ (23:07, 26. Jun. 2016)
  20. A fuzzy genetic algorithm approach to an adaptive information retrieval agent‏‎ (23:14, 26. Jun. 2016)
  21. Effective information retrieval using genetic algorithms based matching functions adaption‏‎ (23:32, 26. Jun. 2016)
  22. An upperbound to the performance for ranked-output searching: optimal weighting of query terms using a genetic algorithm‏‎ (13:57, 27. Jun. 2016)
  23. Crossover improvement for the genetic algorithm in information retrieval‏‎ (14:07, 27. Jun. 2016)
  24. Search engine case study: searching the web using genetic programming and MPI‏‎ (14:19, 27. Jun. 2016)
  25. Query modifications using genetic algorithms in vector space models‏‎ (14:30, 27. Jun. 2016)
  26. A review on the application of evolutionary computation to information retrieval‏‎ (14:30, 27. Jun. 2016)
  27. The neural foundations of aesthetic appreciation‏‎ (16:06, 27. Jun. 2016)
  28. Neuroaesthetics: a coming of age story‏‎ (21:38, 27. Jun. 2016)
  29. Prospects for a cognitive neuroscience of visual aesthetics‏‎ (21:50, 27. Jun. 2016)
  30. A framework for photo-quality assessment and enhancement based on visual aesthetics‏‎ (22:02, 27. Jun. 2016)
  31. High level describable attributes for predicting aesthetics and interestingness‏‎ (22:15, 27. Jun. 2016)
  32. Content-based photo quality assessment‏‎ (13:10, 28. Jun. 2016)
  33. Assessing the aesthetic quality of photographs using generic image descriptors‏‎ (13:24, 28. Jun. 2016)
  34. Imagenet classification with deep convolutional neural networks‏‎ (13:30, 28. Jun. 2016)
  35. Photo Quality Assessment with DCNN that Understands Image Well‏‎ (13:42, 28. Jun. 2016)
  36. Brain-Inspired Deep Networks for Image Aesthetics Assessment‏‎ (13:52, 28. Jun. 2016)
  37. Aesthetics and emotions in images‏‎ (14:14, 28. Jun. 2016)
  38. An Image Retrieval Method Based on a Genetic Algorithm Controlled by User’s Mind‏‎ (22:02, 28. Jun. 2016)
  39. Quantum Art‏‎ (22:37, 24. Dez. 2016)
  40. Automatic Texture Guided Color Transfer and Colorization‏‎ (22:53, 24. Dez. 2016)
  41. A Benchmark Image Set for Evaluating Stylization‏‎ (23:03, 24. Dez. 2016)
  42. Art-directed Watercolor Rendered Animation‏‎ (14:23, 25. Dez. 2016)
  43. Patternista: Learning Element Style Compatibility and Spatial Composition for Ring-based Layout Decoration‏‎ (14:34, 25. Dez. 2016)
  44. Data-Driven Iconification‏‎ (14:48, 25. Dez. 2016)
  45. Stippling with Aerial Robots‏‎ (14:58, 25. Dez. 2016)
  46. Computational Aesthetics 2016‏‎ (15:31, 25. Dez. 2016)
  47. Mathematics Learning through Arts and Collaborative Problem-Solving: The Princess and the Diamond-Problem‏‎ (23:56, 26. Dez. 2016)
  48. Hex Rosa‏‎ (00:30, 27. Dez. 2016)
  49. Thoughts on Generative Art‏‎ (12:29, 27. Dez. 2016)
  50. Extracting Unit Cells from Tilings with Color Symmetries: Case of Counterchange Patterns‏‎ (12:33, 27. Dez. 2016)

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