Brandon Morton, Ph.D.

Publication List

 

[1] B. G. Morton and Y. E. Kim, “Data-driven Approaches To Musical Influence Recognition,” in Machine Learning for Music Discovery Workshop at the 33rd International Conference on Machine Learning (ICML 2016), 2016.

[2] B. G. Morton and Y. E. Kim, “Acoustic Features For Recognizing Musical Artist Influence,” in International Conference on Machine Learning and Applications (ICMLA 2015), 2015.

[3] B. G. Morton, J. A. Speck, E. M. Schmidt, and Y. E. Kim, “Improving Music Emotion Labeling Using Human Computation,” in Proceedings of the ACM SIGKDD Workshop on Human Computation, 2010, pp. 45–48.

[4] B. G. Morton, J. A. Speck, E. M. Schmidt, and Y. E. Kim, “Improving music emotion labeling using human computation,” ACM SIGKDD Workshop on Human Computation (HCOMP 2010), pp. 45–48, 2010.

[5] J. Scott, R. Migneco, B. Morton, C. M. Hahn, P. Diefenbach, and Y. E. Kim, “An Audio Processing Library For MIR Application Development In Flash,” in 11th International Society for Music Information Retrieval Conference (ISMIR 2010), 2010, pp. 643–648.

 

Questions?