"A Good Algorithm Does Not Steal - It Imitates": The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too MuchZongyu Yin ⁄ Federico Reuben ⁄ Susan Stepney ⁄ Tom CollinsMusic Generation ⁄ Machine Learning ⁄ Originality Evaluation2021
Genre Recognition from Symbolic Music with CNNsEdmund Dervakos ⁄ Natalia Kotsani ⁄ Giorgos StamouArtificial Intelligence ⁄ Machine Learning ⁄ Music Information Retrieval ⁄ Genre Classification2021
Identification of Pure Painting Pigment Using Machine Learning Algorithms ⁜Ailin Chen ⁄ Rui Jesus ⁄ Márcia VilariguesMachine Learning ⁄ Neural Network ⁄ Artificial Intelligence ⁄ Pigment Unmixing ⁄ Pigment Identification ⁄ Painting Reconstruction ⁄ Hyperspectral Imaging ⁄ Visualization ⁄ Restoration2021
Algorithmic Songwriting with ALYSIAMargareta Ackerman ⁄ David LokerAlgorithmic Composition ⁄ Machine Learning ⁄ Songwriting2017
Play it Again: Evolved Audio Effects and Synthesizer ProgrammingBenjamin D. SmithSound Synthesis ⁄ Machine Learning ⁄ Adaptive Genetic Algorithms ⁄ Audio Effects2017
Predicting Expressive Bow Controls for Violin and ViolaLauren Jane Yu ⁄ Andrea Pohoreckyj DanylukMusical Expression ⁄ Machine Learning ⁄ Violin ⁄ Viola ⁄ Bow Articulation2017
Reinforcement Learning and the Creative, Automated Music ImproviserBenjamin D. Smith ⁄ Guy E. GarnettComputational Creativity ⁄ Machine Learning ⁄ Music ⁄ Composition ⁄ Reinforcement Learning ⁄ Adaptive Resonance Theory2012