M Won, A Ferraro, D Bogdanov, and X Serra, “Evaluation of CNN-based Automatic Music Tagging Models”, SMC 2020. [pdf] [github]

M Won, S Chun, O Nieto, and X Serra, “Data-driven Harmonic Filters for Audio Representation Learning”, ICASSP 2020. [pdf]

M Won, S Chun, O Nieto, and X Serra, “Automatic Music Tagging with Harmonic CNN” Late-breaking Demo, ISMIR 2019. [pdf]

D Bogdanov, A Porter, PTovstogan, and M Won, “Emotion and Theme Recognition in Music using Jamendo”, MediaEval Challenge 2019. [pdf]

M Won, S Chun, and X Serra, “Toward Interpretable Music Tagging with Self-Attention”, ArXiv 2019. [pdf]

M Won, S Chun, and X Serra, “Visualizing and Understanding Self-attention based Music Tagging”, Machine Learning for Music Discovery Workshop, ICML 2019. [pdf] [video]

D Bogdanov, M Won, P Tovstogan, A Porter, and X Serra, “The MTG-Jamendo Dataset for Automatic Music Tagging”, Machine Learning for Music Discovery Workshop, ICML 2019. [pdf]

J Kim, M Won, C Liem, and A Hanjalic, “Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information”, RecSys Challenge 2018. [pdf]

J Kim, M Won, X Serra, and C Liem, “Transfer Learning of Artist Group Factors to Musical Genre Classification”, WWW Challenge 2018 [pdf] Challenge winner!

C Kim, J Kim, K Kim, and M Won, “Single and Multi Column Neural Networks for Content-based Music Genre Recognition”, MediaEval Challenge 2017. [pdf]

M Won, ”Understanding Internal Semantics of Deep Learning Models for Electronic Music”. M.S. Thesis, Universitat Pompeu Fabra, 2017.

S Won, “Vinyl Record Information Retrieval via Audio Fingerprinting and Image Processing”. M.S. Thesis, Seoul National University, 2015.

J Kim, S Won, and K. Lee, “Non-Tagging-Based Tabletop TUI(Tangible User Interface) for Musical Expression”. in HCI Korea 2014, 2014.2, 925-928.