Douglas TURNBULL

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Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Youngmoo KimProfessor of Electrical and Computer Engineering, Drexel UniversityVerified email at drexel.edu
Joshua L. MoorePhD Student, Cornell UniversityVerified email at cs.cornell.edu
Shuo ChenSenior Data Scientist, Blizzard EntertainmentVerified email at cs.cornell.edu
Erik M. SchmidtSenior Research Scientist, NetflixVerified email at netflix.com
Jacquelin SpeckMcKean Defense Group, LLCVerified email at mckean-defense.com
Brian TomasikEssays on Reducing SufferingVerified email at alum.swarthmore.edu
Elias PampalkNuance CommunicationsVerified email at nuance.com
Joon Hee KimComputer Science, KAISTVerified email at kaist.ac.kr
Charles ElkanProfessor of Computer Science, University of California, San DiegoVerified email at ucsd.edu
Jānis LībeksGraduate Student, Computer Science, University of TorontoVerified email at dgp.toronto.edu
Masataka GotoPrime Senior Researcher, National Institute of Advanced Industrial Science and Technology (AIST)Verified email at aist.go.jp
Antoni B. ChanProfessor of Computer Science, City University of Hong KongVerified email at cityu.edu.hk
Eric J. HumphreyLead Research Scientist, This One LtdVerified email at this.one
Tom CollinsUniversity of Miami; MAIA, Inc.Verified email at miami.edu
Neil AlldrinSoftware Engineer, GoogleVerified email at google.com
Richard WicentowskiSwarthmore CollegeVerified email at cs.swarthmore.edu
Justin ZupnickCornell University, Northwestern UniversityVerified email at cornell.edu
Luke BarringtonGoogle Research. Ph.D from UC San Diego. Founder of Tomnod

Douglas TURNBULL

Associate Professor, Ithaca College

Verified email at ithaca.edu - Homepage

Music Information Retrieval Music Analysis Machine Learning


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Music emotion recognition: A state of the art review YE Kim, EM Schmidt, R Migneco, BG Morton, P Richardson, J Scott, ... Proc. ismir 86, 937-952, 2010	642	2010
Semantic annotation and retrieval of music and sound effects D Turnbull, L Barrington, D Torres, G Lanckriet IEEE Transactions on Audio, Speech, and Language Processing 16 (2), 467-476, 2008	635	2008
Playlist prediction via metric embedding S Chen, JL Moore, D Turnbull, T Joachims Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	338	2012
Towards musical query-by-semantic-description using the cal500 data set D Turnbull, L Barrington, D Torres, G Lanckriet Proceedings of the 30th annual international ACM SIGIR conference on …, 2007	203	2007
Five Approaches to Collecting Tags for Music. D Turnbull, L Barrington, GRG Lanckriet Ismir 8, 225-230, 2008	171	2008
A Game-Based Approach for Collecting Semantic Annotations of Music. D Turnbull, R Liu, L Barrington, GRG Lanckriet ISMIR 7, 535-538, 2007	161	2007
Feature selection for content-based, time-varying musical emotion regression EM Schmidt, D Turnbull, YE Kim Proceedings of the international conference on Multimedia information …, 2010	142	2010
Exploring automatic music annotation with" acoustically-objective" tags D Tingle, YE Kim, D Turnbull Proceedings of the international conference on Multimedia information …, 2010	125	2010
Fast recognition of musical genres using RBF networks D Turnbull, C Elkan IEEE Transactions on Knowledge and Data Engineering 17 (4), 580-584, 2005	117	2005
User-centered design of a social game to tag music L Barrington, D O'Malley, D Turnbull, G Lanckriet Proceedings of the acm sigkdd workshop on human computation, 7-10, 2009	114	2009
A Supervised Approach for Detecting Boundaries in Music Using Difference Features and Boosting. D Turnbull, GRG Lanckriet, E Pampalk, M Goto ISMIR, 51-54, 2007	100	2007
Combining audio content and social context for semantic music discovery DR Turnbull, L Barrington, G Lanckriet, M Yazdani Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009	96	2009
Audio information retrieval using semantic similarity L Barrington, A Chan, D Turnbull, G Lanckriet 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007	91	2007
Taste Over Time: The Temporal Dynamics of User Preferences. JL Moore, S Chen, D Turnbull, T Joachims ISMIR 13, 401-406, 2013	71	2013
Learning to Embed Songs and Tags for Playlist Prediction. JL Moore, S Chen, T Joachims, D Turnbull ISMIR 12, 349-354, 2012	63	2012
Combining Feature Kernels for Semantic Music Retrieval. L Barrington, M Yazdani, D Turnbull, GRG Lanckriet ISMIR, 614-619, 2008	59	2008
Identifying Words that are Musically Meaningful. DA Torres, D Turnbull, L Barrington, GRG Lanckriet ISMIR 7, 405-410, 2007	55	2007
Using Artist Similarity to Propagate Semantic Information. JH Kim, B Tomasik, D Turnbull ISMIR 9, 375-380, 2009	50	2009
Modelling music and words using a multi-class naıve bayes approach D Turnbull, L Barrington, G Lanckriet ISMIR, 2006	49	2006
Clustering with EM and K-means N Alldrin, A Smith, D Turnbull University of San Diego, California, Tech Report, 261-295, 2003	44	2003

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