Music Recommendation Algorithms Professors in Global

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David Meredith
Aalborg University Denmark
computational music analysis
music information retrieval
algorithms
mathematical music theory
music technology
machine learning
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Marc Renault
University of Wisconsin United States of America
search algorithms
streaming algorithms
approximation algorithms
online algorithms
analysis of algorithms
algorithm design
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André Holzapfel
KTH Royal Institute of Technology Sweden
music information retrieval
sound and music computing
computational ethnomusicology
music technology
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Carmine-emanuele Cella
University of California, Berkeley United States of America
artificial intelligence in music
computer music
music technology
machine learning
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Carl Bergstrøm-nielsen
Aalborg University Denmark
musical analysis
music
music theory
intuitive music
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Srinivasa Gummidi
University of Southern Denmark Denmark
algorithms
optimization algorithms
online algorithms
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Francesco Barile
Maastricht University Netherlands
recommender systems
group recommender systems
machine learning
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Debarati Das
Pennsylvania State University United States of America
string algorithms
approximation algorithms
clustering algorithms
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Ziad Kobti
University of Windsor Canada
cultural algorithms
multi-population cultural algorithms
genetic algorithms
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Ahsan Ashraf
Brown University United States of America
recommendation systems
algorithmic bias
machine learning
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Tuğkan Batu
London School of Economics United Kingdom
streaming algorithms
algorithms
sublinear algorithms
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Christian Coester
University of Oxford United Kingdom
algorithms
online algorithms
learning-augmented algorithms
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Nicklas Werge
University of Southern Denmark Denmark
optimization algorithms
online algorithms
machine learning
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Shahin Kamali
University of Manitoba Canada
online algorithms
algorithm analysis
algorithm design
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Eliezer Upfal
Brown University United States of America
randomized algorithms
analysis of algorithms
algorithm design
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Sid Banerjee
Cornell University Netherlands
learning-based recommendation systems
machine learning
algorithm design
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Sarah Rice
Pennsylvania State University United States of America
artificial intelligence in music
music technology
music semiotics
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
dynamic algorithms
sublinear algorithms
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Sandeep Bhagwati
Concordia University Canada
computer music
music
music technology
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Nima Anari
Stanford University United States of America
randomized algorithms
machine learning
algorithm design
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Alexander Hauptmann
Carnegie Mellon University United States of America
audio analysis
machine learning
speech recognition
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