Computational intelligence in music, sound, art and design 10th international conference, EvoMUSART 2021 : held as part of EvoStar 2021 : Virtual event, April 7-9, 2021 : Proceedings / Juan Romero, Tiago Martins, Nereida Rodríguez-Fernández (eds.).

Av: (10th : EvoMUSART (Conference) (10th : 2021 : Virtual event)Medverkande: Romero, Juan [edt] | Martins, Tiago [edt] | Rodríguez-Fernández, Nereida [edt]Language: English Series: Lecture notes in computer science ; 12693Publisher: Cham : Springer, [2021]Copyright date: ©2021Beskrivning: xiii, 492 sidor illustrationerInnehållstyp: text Mediatyp: unmediated Bärartyp: volumeISBN: 9783030729134Ämne(n): Datormusik | Datorkonst | Computer science | Algorithms | Mathematical statistics | Data mining | Artificial intelligence | Image processing | Application software | Computer Science | Algorithm Analysis and Problem Complexity | Data Mining and Knowledge Discovery | Artificial Intelligence (incl. Robotics) | Image Processing and Computer Vision | Probability and Statistics in Computer Science | Computer Appl. in Arts and HumanitiesDDK-klassifikation: 005.1 SAB-klssifikation: Pubb
Anmärkning:
Sculpture Inspired Musical Composition: One Possible Approach / Francisco Braga, H. Sofia Pinto -- Network Bending: Expressive Manipulation of Deep Generative Models / Terence Broad, Frederic Fol Leymarie, Mick Grierson -- SyVMO: Synchronous Variable Markov Oracle for Modeling and Predicting Multi-part Musical Structures / Nádia Carvalho, Gilberto Bernardes -- Identification of Pure Painting Pigment Using Machine Learning Algorithms / Ailin Chen, Rui Jesus, Márcia Vilarigues -- Evolving Neural Style Transfer Blends / Simon Colton -- Evolving Image Enhancement Pipelines / João Correia, Leonardo Vieira, Nereida Rodriguez-Fernandez, Juan Romero, Penousal Machado -- Genre Recognition from Symbolic Music with CNNs / Edmund Dervakos, Natalia Kotsani, Giorgos Stamou -- Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks / Edward Easton, Anikó Ekárt, Ulysses Bernardet -- Interactive, Efficient and Creative Image Generation Using Compositional Pattern-Producing Networks / Erlend Gjesteland Ekern, Björn Gambäck -- Aesthetic Evaluation of Cellular Automata Configurations Using Spatial Complexity and Kolmogorov Complexity / Mohammad Ali Javaheri Javid -- Auralization of Three-Dimensional Cellular Automata / Yuta Kariyado, Camilo Arevalo, Julián Villegas -- Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction / Allison Lahnala, Gauri Kambhatla, Jiajun Peng, Matthew Whitehead, Gillian Minnehan, Eric Guldan et al. -- Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation / Francesco Marchetti, Callum Wilson, Cheyenne Powell, Edmondo Minisci, Annalisa Riccardi -- The Enigma of Complexity / Jon McCormack, Camilo Cruz Gambardella, Andy Lomas -- SerumRNN: Step by Step Audio VST Effect Programming / Christopher Mitcheltree, Hideki Koike -- Parameter Tuning for Wavelet-Based Sound Event Detection Using Neural Networks / Pallav Raval, Jabez Christopher -- Raga Recognition in Indian Classical Music Using Deep Learning / Devansh P. Shah, Nikhil M. Jagtap, Prathmesh T. Talekar, Kiran Gawande -- The Simulated Emergence of Chord Function / Yui Uehara, Satoshi Tojo -- Incremental Evolution of Stylized Images / Florian Uhde -- Dissecting Neural Networks Filter Responses for Artistic Style Transfer / Florian Uhde, Sanaz Mostaghim -- A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features / Igor Vatolkin, Benedikt Adrian, Jurij Kuzmic -- A Multi-objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation / Igor Vatolkin, Marcel Koch, Meinard Müller -- Exploring the Effect of Sampling Strategy on Movement Generation with Generative Neural Networks / Benedikte Wallace, Charles P. Martin, Jim Tørresen, Kristian Nymoen -- “A Good Algorithm Does Not Steal – It Imitates”: The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much / Zongyu Yin, Federico Reuben, Susan Stepney, Tom Collins -- From Music to Image a Computational Creativity Approach / Luís Aleixo, H. Sofia Pinto, Nuno Correia -- “What Is Human?” A Turing Test for Artistic Creativity / Antonio Daniele, Caroline Di Bernardi Luft, Nick Bryan-Kinns -- Mixed-Initiative Level Design with RL Brush / Omar Delarosa, Hang Dong, Mindy Ruan, Ahmed Khalifa, Julian Togelius -- Creating a Digital Mirror of Creative Practice / Colin G. Johnson -- An Application for Evolutionary Music Composition Using Autoencoders / Robert Neil McArthur, Charles Patrick Martin -- A Swarm Grammar-Based Approach to Virtual World Generation / Yasin Raies, Sebastian von Mammen -- Co-creative Drawing with One-Shot Generative Models / Sabine Wieluch, Friedhelm Schwenker
Anmärkning bestånd: EMS : A5 EvoMUSART Libris-ID: v8lk3hz3scg9mhsz
Item type Current library Call number Materials specified Status Date due Barcode Item holds
Book Musik- och teaterbiblioteket
Elektronmusikstudion EMS
EMS : A5 EvoMUSART Available (Längre framtagningstid) 26201871349
Total holds: 0

Sculpture Inspired Musical Composition: One Possible Approach / Francisco Braga, H. Sofia Pinto -- Network Bending: Expressive Manipulation of Deep Generative Models / Terence Broad, Frederic Fol Leymarie, Mick Grierson -- SyVMO: Synchronous Variable Markov Oracle for Modeling and Predicting Multi-part Musical Structures / Nádia Carvalho, Gilberto Bernardes -- Identification of Pure Painting Pigment Using Machine Learning Algorithms / Ailin Chen, Rui Jesus, Márcia Vilarigues -- Evolving Neural Style Transfer Blends / Simon Colton -- Evolving Image Enhancement Pipelines / João Correia, Leonardo Vieira, Nereida Rodriguez-Fernandez, Juan Romero, Penousal Machado -- Genre Recognition from Symbolic Music with CNNs / Edmund Dervakos, Natalia Kotsani, Giorgos Stamou -- Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks / Edward Easton, Anikó Ekárt, Ulysses Bernardet -- Interactive, Efficient and Creative Image Generation Using Compositional Pattern-Producing Networks / Erlend Gjesteland Ekern, Björn Gambäck -- Aesthetic Evaluation of Cellular Automata Configurations Using Spatial Complexity and Kolmogorov Complexity / Mohammad Ali Javaheri Javid -- Auralization of Three-Dimensional Cellular Automata / Yuta Kariyado, Camilo Arevalo, Julián Villegas -- Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction / Allison Lahnala, Gauri Kambhatla, Jiajun Peng, Matthew Whitehead, Gillian Minnehan, Eric Guldan et al. -- Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation / Francesco Marchetti, Callum Wilson, Cheyenne Powell, Edmondo Minisci, Annalisa Riccardi -- The Enigma of Complexity / Jon McCormack, Camilo Cruz Gambardella, Andy Lomas -- SerumRNN: Step by Step Audio VST Effect Programming / Christopher Mitcheltree, Hideki Koike -- Parameter Tuning for Wavelet-Based Sound Event Detection Using Neural Networks / Pallav Raval, Jabez Christopher -- Raga Recognition in Indian Classical Music Using Deep Learning / Devansh P. Shah, Nikhil M. Jagtap, Prathmesh T. Talekar, Kiran Gawande -- The Simulated Emergence of Chord Function / Yui Uehara, Satoshi Tojo -- Incremental Evolution of Stylized Images / Florian Uhde -- Dissecting Neural Networks Filter Responses for Artistic Style Transfer / Florian Uhde, Sanaz Mostaghim -- A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features / Igor Vatolkin, Benedikt Adrian, Jurij Kuzmic -- A Multi-objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation / Igor Vatolkin, Marcel Koch, Meinard Müller -- Exploring the Effect of Sampling Strategy on Movement Generation with Generative Neural Networks / Benedikte Wallace, Charles P. Martin, Jim Tørresen, Kristian Nymoen -- “A Good Algorithm Does Not Steal – It Imitates”: The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much / Zongyu Yin, Federico Reuben, Susan Stepney, Tom Collins -- From Music to Image a Computational Creativity Approach / Luís Aleixo, H. Sofia Pinto, Nuno Correia -- “What Is Human?” A Turing Test for Artistic Creativity / Antonio Daniele, Caroline Di Bernardi Luft, Nick Bryan-Kinns -- Mixed-Initiative Level Design with RL Brush / Omar Delarosa, Hang Dong, Mindy Ruan, Ahmed Khalifa, Julian Togelius -- Creating a Digital Mirror of Creative Practice / Colin G. Johnson -- An Application for Evolutionary Music Composition Using Autoencoders / Robert Neil McArthur, Charles Patrick Martin -- A Swarm Grammar-Based Approach to Virtual World Generation / Yasin Raies, Sebastian von Mammen -- Co-creative Drawing with One-Shot Generative Models / Sabine Wieluch, Friedhelm Schwenker

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