| 000 | 05193nam a22004575i 4500 | ||
|---|---|---|---|
| 999 |
_c334719 _d334719 _x1 |
||
| 001 | 334719 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102114739.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 210401s2021 gw a s |||| 0|eng d | ||
| 020 | _a9783030729141 | ||
| 024 | 7 |
_a10.1007/978-3-030-72914-1 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQA76.63 _b2021 EB |
|
| 245 | 0 | 0 |
_aArtificial Intelligence in Music, Sound, Art and Design : _b10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings _cedited by Juan Romero, Tiago Martins, Nereida Rodríguez-Fernández |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham, Switzerland _bSpringer International Publising _c2021 |
|
| 300 |
_a1 recurso en línea (XIII, 492 páginas) _b236 ilustraciones, 181 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 0 |
_aTheoretical Computer Science and General Issues _v12693 |
|
| 505 | 0 | _aSculpture Inspired Musical Composition, One Possible Approach -- Network Bending: Expressive Manipulation of Deep Generative Models -- SyVMO: Synchronous Variable Markov Oracle for Modeling and Predicting Multi-Part Musical Structures -- Identification of Pure Painting Pigment Using Machine Learning Algorithms -- Evolving Neural Style Transfer Blends -- Evolving Image Enhancement Pipelines -- Genre Recognition from Symbolic Music with CNNs -- Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks -- Interactive, Efficient and Creative Image Generation Using Compositional Pattern-Producing Networks -- Aesthetic Evaluation of Cellular Automata Configurations Using Spatial Complexity and Kolmogorov Complexity -- Auralization of Three-Dimensional Cellular Automata -- Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction -- Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation -- The Enigma of Complexity -- SerumRNN: Step by Step Audio VST Effect Programming -- Parameter Tuning for Wavelet-Based Sound Event Detection Using Neural Networks -- Raga Recognition in Indian Classical Music Using Deep Learning -- The Simulated Emergence of Chord Function -- Incremental Evolution of Stylized Images -- Dissecting Neural Networks Filter Responses for Artistic Style Transfer -- A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features -- A Multi-Objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation -- Exploring the Effect of Sampling Strategy on Movement Generation with Generative Neural Networks -- "A Good Algorithm Does Not Steal - It Imitates": The Originality Report as a Means of Measuring when a Music Generation Algorithm Copies too Much -- From Music to Image - A Computational Creativity Approach -- "What is human?" A Turing Test for Artistic Creativity -- Mixed-Initiative Level Design with RL Brush -- Creating a Digital Mirror of Creative Practice -- An Application for Evolutionary Music Composition Using Autoencoders -- A Swarm Grammar-Based Approach to Virtual World Generation -- Co-Creative Drawing with One-Shot Generative Models. | |
| 520 | 3 | _aThis book constitutes the refereed proceedings of the 10th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2021, held as part of Evo* 2021, as Virtual Event, in April 2021, co-located with the Evo* 2021 events, EvoCOP, EvoApplications, and EuroGP. The 24 revised full papers and 7 short papers presented in this book were carefully reviewed and selected from 66 submissions. They cover a wide range of topics and application areas, including generative approaches to music and visual art, deep learning, and architecture. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aProgramación lógica _vCongresos y asambleas _9160750 |
|
| 650 | 7 |
_2embne _aMúsica por ordenador _vCongresos y asambleas _9141144 |
|
| 700 | 1 |
_aRomero, Juan _eeditor literario _0(orcid)0000-0001-5566-5382 _1https://orcid.org/0000-0001-5566-5382 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aMartins, Tiago _eeditor literario _0(orcid)0000-0003-2638-237X _1https://orcid.org/0000-0003-2638-237X _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aRodríguez-Fernández, Nereida _eeditor literario _0(orcid)0000-0003-1412-5253 _1https://orcid.org/0000-0003-1412-5253 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030729134 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030729158 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72914-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b05/2021 _dz _ek _zSI |
||