Douglas Turnbull

According to our database, Douglas Turnbull authored at least 32 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Popularity Degradation Bias in Local Music Recommendation.

April Trainor, Douglas Turnbull

CoRR, 2023

Localify.org: Locally-focus Music Artist and Event Recommendation.

Douglas Turnbull, April Trainor, Douglas R. Turnbull, Elizabeth Richards, Kieran Bentley, Victoria Conrad, Paul Gagliano, Cassandra Raineault, Thorsten Joachims

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Cross-Language Music Recommendation Exploration.

Stefanos Stoikos, David Kauchak, Douglas Turnbull, Alexandra Papoutsaki

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

2019

Evaluating Recommender System Algorithms for Generating Local Music Playlists.

Daniel Akimchuk, Timothy Clerico, Douglas Turnbull

CoRR, 2019

2018

Local Music Event Recommendation with Long Tail Artists.

Douglas Turnbull, Luke Waldner

CoRR, 2018

SLIONS: A Karaoke Application to Enhance Foreign Language Learning.

Dania Murad, Riwu Wang, Douglas Turnbull, Ye Wang

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2013

MeUse: Recommending Internet Radio Stations.

Maurice Grant, Adeesha Ekanayake, Douglas Turnbull

Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

2012

Game-powered machine learning.

Luke Barrington, Douglas Turnbull, Gert R. G. Lanckriet

Proc. Natl. Acad. Sci. USA, 2012

Model AI Assignments 2012.

Todd W. Neller, Laura E. Brown, John Earnest, Jason Hiebel, Douglas Turnbull

Proceedings of the Third Symposium on Education Advances in Artificial Intelligence, 2012

2011

You Can Judge an Artist by an Album Cover: Using Images for Music Annotation.

Janis Libeks, Douglas Turnbull

IEEE Multim., 2011

2010

Exploring automatic music annotation with "acoustically-objective" tags.

Derek Tingle, Youngmoo E. Kim, Douglas Turnbull

Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Feature selection for content-based, time-varying musical emotion regression.

Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim

Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Meerkat: exploring semantic music discovery using personalized radio.

Ashley M. Oudenne, Youngmoo E. Kim, Douglas Turnbull

Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

State of the Art Report: Music Emotion Recognition: A State of the Art Review.

Youngmoo E. Kim, Erik M. Schmidt, Raymond Migneco, Brandon G. Morton, Patrick Richardson, Jeffrey J. Scott, Jacquelin A. Speck, Douglas Turnbull

Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Exploring "Artist Image" Using Content-Based Analysis Of Promotional Photos.

Janis Libeks, Douglas Turnbull

Proceedings of the 2010 International Computer Music Conference, 2010

Beat-Sync-Mash-Coder: A web application for real-time creation of beat-synchronous music mashups.

Garth Griffin, Youngmoo E. Kim, Douglas Turnbull

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Combining audio content and social context for semantic music discovery.

Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet, Mehrdad Yazdani

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Tagging products using image classification.

Brian Tomasik, Phyo Thiha, Douglas Turnbull

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

User-centered design of a social game to tag music.

Luke Barrington, Damien O'Malley, Douglas Turnbull, Gert R. G. Lanckriet

Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009, 2009

Using Regression to Combine Data Sources for Semantic Music Discovery.

Brian Tomasik, Joon Hee Kim, Margaret Ladlow, Malcolm Augat, Derek Tingle, Rich Wicentowski, Douglas Turnbull

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Using Artist Similarity to Propagate Semantic Information.

Joon Hee Kim, Brian Tomasik, Douglas Turnbull

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

2008

Design and development of a semantic music discovery engine.

Douglas Turnbull

PhD thesis, 2008

Semantic Annotation and Retrieval of Music and Sound Effects.

Douglas Turnbull, Luke Barrington, David A. Torres, Gert R. G. Lanckriet

IEEE Trans. Speech Audio Process., 2008

Five Approaches to Collecting Tags for Music.

Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet

Proceedings of the ISMIR 2008, 2008

Combining Feature Kernels for Semantic Music Retrieval.

Luke Barrington, Mehrdad Yazdani, Douglas Turnbull, Gert R. G. Lanckriet

Proceedings of the ISMIR 2008, 2008

2007

Towards musical query-by-semantic-description using the CAL500 data set.

Douglas Turnbull, Luke Barrington, David A. Torres, Gert R. G. Lanckriet

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

A Supervised Approach for Detecting Boundaries in Music Using Difference Features and Boosting.

Douglas Turnbull, Gert R. G. Lanckriet, Elias Pampalk, Masataka Goto

Proceedings of the 8th International Conference on Music Information Retrieval, 2007

A Game-Based Approach for Collecting Semantic Annotations of Music.

Douglas Turnbull, Ruoran Liu, Luke Barrington, Gert R. G. Lanckriet

Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Identifying Words that are Musically Meaningful.

David A. Torres, Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet

Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Audio Information Retrieval using Semantic Similarity.

Luke Barrington, Antoni B. Chan, Douglas Turnbull, Gert R. G. Lanckriet

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Modeling music and words using a multi-class naïve Bayes approach.

Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet

Proceedings of the ISMIR 2006, 2006

2005

Fast Recognition of Musical Genres Using RBF Networks.

Douglas Turnbull, Charles Elkan

IEEE Trans. Knowl. Data Eng., 2005