Top Tweets for #ML4MD
@andrebola_ gathered artist metadata from @MusicBrainz for the LFM-360k dataset. It allows us to analyze exposure biases for different artist groups (gender, year and country of origin) in music recommendations. See more details in our paper for the #ML4MD workshop, #ICML2020.
I'll be presenting in the ML4MD workshop at #ICML2020 this Saturday. If interested in artist bias in music recommendation stop by my (virtual) poster.
Check the paper: https://t.co/gXZnhokstV
And the poster:
https://t.co/7kpcZXgvYe
Interested in exploring and evaluating music auto-tagging models? Check out my blog post about the web interface that will be presented today at #ML4MD workshop in #ICML2020: https://t.co/Z88tsz1n3P. Come to the poster session!
@MIP_frontiers @EU_H2020 @MSCActions
Interested in exploring and evaluating music auto-tagging models? Check out my blog post about the web interface that will be presented today at #ML4MD workshop in #ICML2020: https://t.co/Z88tsz1n3P. Come to the poster session!
@MIP_frontiers @EU_H2020 @MSCActions
Elena Georgieva (@elenatheodora1) will present "HitPredict: Using Spotify Data to Predict Billboard Hits" at the Machine Learning for Music Discovery #ML4MD Workshop at #ICML this Saturday!
Very excited to announce the program for the ML4MD Workshop at @icmlconf. Really impressed by the quality of the work submitted, looking forward to July 18th! https://t.co/EyX5EMrR9P /cc @erikmschmidt @fgouyon @kmkinnaird @moustaki
Machine Learning for Media Discovery Workshop (#ML4MD)
Site: https://t.co/bdjjtncB7n
Submission: 2-page extended abstract
Deadline: May 1
Notification: May 9
Building upon the five previous Machine Learning for Music Discovery workshops at ICML.
3/-
My colleague @shreyan_ch and I went to #ML4MD workshop (@ #ICML2019) to present our work. Here are answers to the questions I received after the talk - in more detail :)
https://t.co/abCtAC4yPg
It was awesome to help out with this project using @Shazam data! Wish I could have been there to see @BlairKaneshiro speak! Check out our work! #ML4MD
Blair Kaneshiro et al.: Characterizing Musical Correlates of Large-Scale Discovery Behavior https://t.co/CoNwZaPDGN @BlairKaneshiro #ML4MD
Zhengshan (Kitty) Shi et al.: User-Curated Shaping of Expressive Performances https://t.co/XZYvc0TIfc @kittyshanshan #ML4MD
Camille Noufi et al.: A Model-Driven Exploration of Accent Within the Amateur Singing Voice https://t.co/mWuEl5Bjg8 #ML4MD
Blair Kaneshiro et al.: Characterizing Musical Correlates of Large-Scale Discovery Behavior https://t.co/CoNwZaPDGN @BlairKaneshiro #ML4MD
The Machine Learning for Music Discovery Workshop @icmlconf was a fantastic day of technical talks and networking! Many thanks to the organizers and to @pandoramusic. @erikmschmidt @urinieto @fgouyon @kmkinnaird #ML4MD
Writeups for our presentations are now posted (thread):
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