LEADER 04487nam 22007335 450 001 9910409674303321 005 20230403144241.0 010 $a3-030-43859-7 024 7 $a10.1007/978-3-030-43859-3 035 $a(CKB)4100000011223228 035 $a(MiAaPQ)EBC6173643 035 $a(DE-He213)978-3-030-43859-3 035 $a(PPN)24376085X 035 $a(EXLCZ)994100000011223228 100 $a20200409d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Music, Sound, Art and Design $e9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15?17, 2020, Proceedings /$fedited by Juan Romero, Anikó Ekárt, Tiago Martins, Joăo Correia 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (238 pages) $cillustrations 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12103 311 $a3-030-43858-9 320 $aIncludes bibliographical references and index. 327 $aA deep learning neural network for classifying good and bad photos -- Adapting and Enhancing Evolutionary Art for Casual Creation -- Comparing Fuzzy Rule Based Approaches for Music Genre Classification -- Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles -- Emerging Technology System Evolution -- Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition -- Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms -- Portraits of No One: An Interactive Installation -- Understanding Aesthetic Evaluation with Deep Learning -- An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture -- Objective Evaluation of Tonal Fitness for Chord Progressions -- Coevolving Artistic Images Using OMNIREP -- Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music -- Controlling Self-Organization in Generative Creative Systems -- Emulation Games. See and Be Seen, a Subjective Approach to Analog Computational Neuroscience. 330 $aThis book constitutes the refereed proceedings of the 9th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoCOP and EvoApplications. The 15 revised full papers presented were carefully reviewed and selected from 31 submissions. The papers cover a wide spectrum of topics and application areas, including generative approaches to music and visual art, deep learning, and architecture. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12103 606 $aComputer science 606 $aComputer networks 606 $aCompilers (Computer programs) 606 $aImage processing?Digital techniques 606 $aComputer vision 606 $aSignal processing 606 $aTheory of Computation 606 $aComputer Communication Networks 606 $aCompilers and Interpreters 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aSignal, Speech and Image Processing 615 0$aComputer science. 615 0$aComputer networks. 615 0$aCompilers (Computer programs). 615 0$aImage processing?Digital techniques. 615 0$aComputer vision. 615 0$aSignal processing. 615 14$aTheory of Computation. 615 24$aComputer Communication Networks. 615 24$aCompilers and Interpreters. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aSignal, Speech and Image Processing . 676 $a005.11 702 $aRomero$b Juan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEkárt$b Anikó$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMartins$b Tiago$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCorreia$b Joăo$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910409674303321 996 $aArtificial Intelligence in Music, Sound, Art and Design$92257587 997 $aUNINA