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Linear regression-based adaptation of music emotion recognition models for personalization.

, , , and . ICASSP, page 2149-2153. IEEE, (2014)

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Improving Musical Concept Detection by Ordinal Regression and Context Fusion., , , and . ISMIR, page 147-152. International Society for Music Information Retrieval, (2009)Component Tying for Mixture Model Adaptation in Personalization of Music Emotion Recognition., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (7): 1409-1420 (2017)Quantitative Study of Music Listening Behavior in a Smartphone Context., and . ACM Trans. Interact. Intell. Syst., 5 (3): 14:1-14:30 (2015)Multitask learning for frame-level instrument recognition., , and . CoRR, (2018)Learning to match transient sound events using attentional similarity for few-shot sound recognition., , , and . CoRR, (2018)MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions., , and . CoRR, (2017)Affective Music Information Retrieval., , and . CoRR, (2015)Model Adaptation for Personalized Music Emotion Recognition., , , and . Handbook of Pattern Recognition and Computer Vision, World Scientific, (2016)Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation., , and . IJCAI, page 6506-6508. ijcai.org, (2019)Online Reranking via Ordinal Informative Concepts for Context Fusion in Concept Detection and Video Search., , and . IEEE Trans. Circuits Syst. Video Techn., 19 (12): 1880-1890 (2009)