Quynh Quang Ngo

2022

1. Heyen, Frank ; Ngo, Quynh Quang ; Kurzhals, Kuno ; Sedlmair, Michael: Data-Driven Visual Reflection on Music Instrument Practice. In: ACM CHI Workshop on Intelligent Music Interfaces (IMI), ACM CHI Workshop on Intelligent Music Interfaces (IMI) : ACM, 2022
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   BibTeX

   @inproceedings{heyen2022datadriven, abstract = {We propose a data-driven approach to music instrument practice that allows studying patterns and long-term trends through visualization. Inspired by life logging and fitness tracking, we imagine musicians to record their practice sessions over the span of months or years. The resulting data in the form of MIDI or audio recordings can then be analyzed sporadically to track progress and guide decisions. Toward this vision, we started exploring various visualization designs together with a group of nine guitarists, who provided us with data and feedback over the course of three months.}, author = {Heyen, Frank and Ngo, Quynh Quang and Kurzhals, Kuno and Sedlmair, Michael}, booktitle = {ACM CHI Workshop on Intelligent Music Interfaces (IMI)}, doi = {10.48550/arxiv.2203.13320}, publisher = {ACM}, title = {Data-Driven Visual Reflection on Music Instrument Practice}, url = {https://doi.org/10.48550/arxiv.2203.13320}, year = 2022 }

   Link

   https://doi.org/10.48550/arxiv.2203.13320
2. Ngo, Quynh Quang ; Dennig, Frederik L. ; Keim, Daniel A. ; Sedlmair, Michael: Machine learning meets visualization – Experiences and lessons learned. In: it - Information Technology, it - Information Technology. (2022)
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   BibTeX

   @article{NgoDennigKeimSedlmair+2022, author = {Ngo, Quynh Quang and Dennig, Frederik L. and Keim, Daniel A. and Sedlmair, Michael}, doi = {doi:10.1515/itit-2022-0034}, journal = {it - Information Technology}, lastchecked = {2022-09-02}, title = {Machine learning meets visualization – Experiences and lessons learned}, url = {https://doi.org/10.1515/itit-2022-0034}, year = 2022 }

   Link

   https://doi.org/10.1515/itit-2022-0034