Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 13th International C Colin Johnson,Sérgio M. Rebelo,Iria Santos Conference proceed

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,Evolving User Interfaces: A Neuroevolution Approach for Natural Human-Machine Interaction,and respond to user needs effectively..The successful application of neuroevolution methods underscores their utility in creating natural, intuitive, and personalized interfaces. The study illustrates the potential of such approaches to revolutionize human-computer interaction by allowing organic an

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Pflanzen sind besondere Lebewesenrogressions with the training dataset, which reveals common progressions and the extent to which a sequence is duplicated. We analyze progressions generated by the models comparing HITS@k metrics and human evaluation of 10 participants, rating the plausibility of the progressions as potential music

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,Berufsfelder für Pädagogische Psychologen,ds to create false positives which may conceal the true potential of our modified approach. Regardless of that, our modification still shows significantly faster convergence speed and slightly improved pitch and instrument detection errors over the baseline algorithm on both single onset and full pi

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,Berufsfelder für Wirtschaftspsychologen, model is flexible enough to identify and respond to individual aesthetic preferences, handling the subjectivity at the root of aesthetic preference and providing a good base for further extension to strengthen the ability of the system to model individual aesthetic preference.

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Sabine Weinberger,Helga Lindnerions and the variance of steps between songs, respectively. Our algorithm successfully creates smooth and evenly-spaced playlists that transition cohesively in both mood and genre. We explore how the choice of audio feature data, similarity metric, and KNN parameters all have an effect on playlists’

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Walter Krämer,Katharina Schüllerrator that aims to improve the quality of the images through local search based on an aesthetic measure. We evaluate the effectiveness of this approach by comparing the results produced by the automatic and collaborative interactive evolution. The results show that the proposed approach can generate