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Computational Intelligence in Music, Sound, Art and Design

Overview of attention for book
Cover of 'Computational Intelligence in Music, Sound, Art and Design'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Visual Art Inspired by the Collective Feeding Behavior of Sand-Bubbler Crabs
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    Chapter 2 Dynamical Music with Musical Boolean Networks
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    Chapter 3 Non-photorealistic Rendering with Cartesian Genetic Programming Using Graphics Processing Units
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    Chapter 4 Construction of a Repertoire of Analog Form-Finding Techniques as a Basis for Computational Morphological Exploration in Design and Architecture
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    Chapter 5 Medical Art Therapy of the Future: Building an Interactive Virtual Underwater World in a Children’s Hospital
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    Chapter 6 Expressive Piano Music Playing Using a Kalman Filter
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    Chapter 7 Generative Solid Modelling Employing Natural Language Understanding and 3D Data
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    Chapter 8 evoExplore : Multiscale Visualization of Evolutionary Histories in Virtual Reality
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    Chapter 9 Musical Organisms
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    Chapter 10 Generating Drum Rhythms Through Data-Driven Conceptual Blending of Features and Genetic Algorithms
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    Chapter 11 RoboJam: A Musical Mixture Density Network for Collaborative Touchscreen Interaction
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    Chapter 12 Towards a General Framework for Artistic Style Transfer
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    Chapter 13 Adaptive Interface for Mapping Body Movements to Sounds
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    Chapter 14 On Collaborator Selection in Creative Agent Societies: An Evolutionary Art Case Study
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    Chapter 15 Towards Partially Automatic Search of Edge Bundling Parameters
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    Chapter 16 Co-evolving Melodies and Harmonization in Evolutionary Music Composition
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    Chapter 17 Learning as Performance: Autoencoding and Generating Dance Movements in Real Time
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    Chapter 18 Deep Interactive Evolution
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    Chapter 19 The Light Show: Flashing Fireflies Gathering and Flying over Digital Images
  21. Altmetric Badge
    Chapter 20 Evotype: Towards the Evolution of Type Stencils
Attention for Chapter 11: RoboJam: A Musical Mixture Density Network for Collaborative Touchscreen Interaction
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

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1 Dimensions

Readers on

mendeley
16 Mendeley
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Chapter title
RoboJam: A Musical Mixture Density Network for Collaborative Touchscreen Interaction
Chapter number 11
Book title
Computational Intelligence in Music, Sound, Art and Design
Published in
arXiv, April 2018
DOI 10.1007/978-3-319-77583-8_11
Book ISBNs
978-3-31-977582-1, 978-3-31-977583-8
Authors

Charles P. Martin, Jim Torresen, Charles Patrick Martin, Martin, Charles Patrick, Torresen, Jim

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Student > Master 3 19%
Student > Doctoral Student 1 6%
Unspecified 1 6%
Unknown 5 31%
Readers by discipline Count As %
Computer Science 5 31%
Arts and Humanities 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Unspecified 1 6%
Mathematics 1 6%
Other 1 6%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2017.
All research outputs
#16,293,793
of 24,002,307 outputs
Outputs from arXiv
#406,013
of 1,011,770 outputs
Outputs of similar age
#214,249
of 332,620 outputs
Outputs of similar age from arXiv
#11,641
of 22,928 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,620 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22,928 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.