| End-to-end learning for music audio tagging at scale J Pons, O Nieto, M Prockup, E Schmidt, A Ehmann, X Serra arXiv preprint arXiv:1711.02520, 2017 | 251 | 2017 |
| Automatic multi-track mixing using linear dynamical systems J Scott, M Prockup, EM Schmidt, YE Kim Proceedings of the 8th Sound and Music Computing Conference, Padova, Italy 12, 2011 | 54 | 2011 |
| Orchestral performance companion: Using real-time audio to score alignment M Prockup, D Grunberg, A Hrybyk, YE Kim IEEE MultiMedia 20 (2), 52-60, 2013 | 33 | 2013 |
| Modeling Genre with the Music Genome Project: Comparing Human-Labeled Attributes and Audio Features. M Prockup, AF Ehmann, F Gouyon, EM Schmidt, O Celma, YE Kim ISMIR, 31-37, 2015 | 25 | 2015 |
| Teaching stem concepts through music technology and dsp YE Kim, AM Batula, R Migneco, P Richardson, B Dolhansky, D Grunberg, ... 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP …, 2011 | 19 | 2011 |
| Modeling musical rhythmatscale with the music genome project M Prockup, AF Ehmann, F Gouyon, EM Schmidt, YE Kim 2015 IEEE workshop on applications of signal processing to audio and …, 2015 | 18 | 2015 |
| Relating perceptual and feature space invariances in music emotion recognition EM Schmidt, M Prockup, J Scott, B Dolhansky, B Morton, YE Kim 9th Int. Symp. Computer Music Modeling and Retrieval, London, UK, 2012 | 12 | 2012 |
| Toward Understanding Expressive Percussion Through Content Based Analysis. M Prockup, EM Schmidt, JJ Scott, YE Kim ISMIR, 143-148, 2013 | 10 | 2013 |
| Predicting audio advertisement quality S Ebrahimi, H Vahabi, M Prockup, O Nieto Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 7 | 2018 |
| Predicting time-varying musical emotion distributions from multi-track audio J Scott, EM Schmidt, M Prockup, B Morton, YE Kim space 6, 8, 2012 | 7 | 2012 |
| Music Technology as an Introduction to STEM AM Batula, BG Morton, R Migneco, M Prockup, EM Schmidt, DK Grunberg, ... 2012 ASEE Annual Conference & Exposition, 25.962. 1-25.962. 13, 2012 | 6 | 2012 |
| ªEnd-to-end learning for music audio tagging at scale, º in J Pons, O Nieto, M Prockup, E Schmidt, A Ehmann, X Serra Proceedings of the 19th International Society for Music Information …, 2018 | 5 | 2018 |
| Modeling rhythm using tree ensembles and the music genome project M Prockup, AJ Asman, F Gouyon, EM Schmidt, O Celma, YE Kim Machine Learning for Music Discovery Workshop at the International …, 2015 | 3 | 2015 |
| Representing musical patterns via the rhythmic style histogram feature M Prockup, J Scott, YE Kim Proceedings of the 22nd ACM international conference on Multimedia, 1057-1060, 2014 | 2 | 2014 |
| A Data-driven Exploration of Rhythmic Attributes and Style in Music MK Prockup Drexel University, 2016 | 1 | 2016 |
| Analyzing the perceptual salience of audio features for musical emotion recognition EM Schmidt, M Prockup, J Scott, B Dolhansky, BG Morton, YE Kim From Sounds to Music and Emotions: 9th International Symposium, CMMR 2012 …, 2013 | 1 | 2013 |
| DrexelCast: Orchestral Performance Companion A Hrybyk, D Grungerg, M Prockup Drexel University. College of Engineering. Research day posters., 0 | | |
| Education Through Music Technology M Prockup, A Batula, B Morton, YE Kim | | |
| New Physical and Digital Interfaces for Music Creation and Expression J Scott, B Dolhansky, M Prockup, A McPherson, YE Kim | | |
| Interactive Multimedia Education M Prockup, D Grunberg, A Hrybyk, YE Kim | | |
