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Our work covered in MIT Technology Review
Our work on tracking the flu with twitter
covered in
MIT Technology Review.
By tijldebie at 07/15/2010 - 12:58
News
Best chord recognition system around is "Made in Bristol"
Web app could find out if a song has the X Factor
Can Science Predict a Hit Song?
Our work covered in MIT Technology Review
Projects
Statistical foundations of data mining
Music information retrieval
Machine learning
Bioinformatics
Web and text mining
Selected Publications
Interesting pattern mining in multi-relational data
Knowledge discovery interestingness measures based on unexpectedness
Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation
Formalizing Complex Prior Information to Quantify Subjective Interestingness of Frequent pattern Sets
CCA and Multi-way Extension for Investigating Common Components Between Audio, Lyrics and Tags
An end-to-end machine learning system for harmonic analysis of music
An Information Theoretic Framework for Data Mining
Interesting Multi-Relational Patterns
Using Online Chord Databases to Enhance Chord Recognition
Maximum Entropy Models and Subjective Interestingness: an Application to Tiles in Binary Databases
Leveraging Noisy Online Databases for Use in Chord Recognition
Maximum Entropy Modelling for Assessing Results on Real-Valued Data
DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli
