TY  - GEN
N2  - This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP. The 20 full papers and 7 short papers presented in this book were carefully reviewed and selected from 55 submissions. They cover a wide range of topics and application areas of artificial intelligence, including generative approaches to music and visual art, deep learning, and architecture.
DO  - 10.1007/978-3-031-29956-8
DO  - doi
AB  - This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP. The 20 full papers and 7 short papers presented in this book were carefully reviewed and selected from 55 submissions. They cover a wide range of topics and application areas of artificial intelligence, including generative approaches to music and visual art, deep learning, and architecture.
T1  - Artificial intelligence in music, sound, art and design :12th International Conference, EvoMUSART 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings /
AU  - Johnson, Colin
AU  - Rodríguez-Fernández, Nereida,
AU  - Rebelo, Sérgio M.,
VL  - 13988
CN  - QA76.618
N1  - Includes author index.
ID  - 1461995
KW  - Evolutionary programming (Computer science)
KW  - Artificial intelligence
KW  - Computer music
KW  - Computer graphics
SN  - 9783031299568
SN  - 3031299566
TI  - Artificial intelligence in music, sound, art and design :12th International Conference, EvoMUSART 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-29956-8
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-29956-8
ER  -