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2021 |
Braga, Francisco |
| Evolving Image Enhancement Pipelines
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2021 |
Correia, João |
| Aesthetic Evaluation of Cellular Automata Configurations Using Spatial Complexity and Kolmogorov Complexity
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2021 |
Javid, Mohammad Ali Javaheri |
| Interactive, Efficient and Creative Image Generation Using Compositional Pattern-Producing Networks
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2021 |
Ekern, Erlend Gjesteland |
| Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation
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2021 |
Marchetti, Francesco |
| Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction
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2021 |
Lahnala, Allison |
| Dissecting Neural Networks Filter Responses for Artistic Style Transfer
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2021 |
Uhde, Florian |
| Mixed-Initiative Level Design with RL Brush
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2021 |
Delarosa, Omar |
| Creating a Digital Mirror of Creative Practice
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2021 |
Johnson, Colin |
| Network Bending: Expressive Manipulation of Deep Generative Models
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2021 |
Broad, Terence |
| Evolving Neural Style Transfer Blends
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2021 |
Colton, Simon |
| Identification of Pure Painting Pigment Using Machine Learning Algorithms
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2021 |
Chen, Ailin |
| SyVMO: Synchronous Variable Markov Oracle for Modeling and Predicting Multi-part Musical Structures
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2021 |
Carvalho, Nadia |
| Raga Recognition in Indian Classical Music Using Deep Leaming
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2021 |
Shah, Devansh P. |
| Incremental Evolution of Stylized Images
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2021 |
Uhde, Florian |
| A Multi-objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation
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2021 |
Vatolkin, Igor |
| A Fusion of Deep and Shallow Learning fo Predict Genres Based on Instrument and Timbre Features
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2021 |
Vatolkin, Igor |
| “A Good Algorithm Does Not Steal — It Imitates”: The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much
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2021 |
Yin, Zongyu |
| An Application for Evolutionary Music Composition Using Autoencoders
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2021 |
McArthur, Robert Neil |
| Genre Recognition from Symbolic Music with CNNs
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2021 |
Dervakos, Edmund |
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