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Titlebook: Computational Intelligence in Music, Sound, Art and Design; 8th International Co Anikó Ekárt,Antonios Liapis,María Luz Castro Pena Conferen

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41#
發(fā)表于 2025-3-28 15:38:33 | 只看該作者
Automatic Jazz Melody Composition Through a Learning-Based Genetic Algorithm, function, the two tables are used to calculate the fitness of a given excerpt. We use this estimated fitness and geometric crossover to improve the music until users are satisfied. Through this, we successfully create a jazz melody as per user preference and training data.
42#
發(fā)表于 2025-3-28 20:24:05 | 只看該作者
43#
發(fā)表于 2025-3-29 02:45:00 | 只看該作者
Automatically Generating Engaging Presentation Slide Decks,ound that audience members perceived the quality of improvised presentations using these generated slide decks to be on par with presentations using human created slide decks for the . performance format. . is thus a valuable new creative tool for improvisers to perform with, and for anyone looking to improve their presentation skills.
44#
發(fā)表于 2025-3-29 06:55:20 | 只看該作者
Tired of Choosing? Just Add Structure and Virtual Reality, of the generated images using a well-defined structure and giving the user more control. To establish their efficacy, the concepts are applied to a series of prototype systems. Our results show that the approaches are effective to some degree. We propose alterations to further improve their implementation in future systems.
45#
發(fā)表于 2025-3-29 10:55:05 | 只看該作者
46#
發(fā)表于 2025-3-29 12:26:48 | 只看該作者
47#
發(fā)表于 2025-3-29 16:18:23 | 只看該作者
Deep Learning Concepts for Evolutionary Art,use this high-level content information a given target image to guide the automatic evolution of images using genetic programming. We investigate the use of a pre-trained deep CNN model as a fitness guide for evolution. Two different approaches are considered. Firstly, we developed a heuristic techn
48#
發(fā)表于 2025-3-29 19:57:14 | 只看該作者
49#
發(fā)表于 2025-3-30 03:11:53 | 只看該作者
Autonomy, Authenticity, Authorship and Intention in Computer Generated Art,mmarise many decades of research and commentary around topics of autonomy, authenticity, authorship and intention in computer generated art, and use this research to answer contemporary questions often asked about art made by computers that concern these topics. We additionally reflect on whether cu
50#
發(fā)表于 2025-3-30 06:30:05 | 只看該作者
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