| 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 | 614 | 2008 |
| Learning content similarity for music recommendation B McFee, L Barrington, G Lanckriet IEEE transactions on audio, speech, and language processing 20 (8), 2207-2218, 2012 | 203 | 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 | 200 | 2007 |
| Five Approaches to Collecting Tags for Music. D Turnbull, L Barrington, GRG Lanckriet Ismir 8, 225-230, 2008 | 170 | 2008 |
| Smarter than Genius? Human Evaluation of Music Recommender Systems. L Barrington, R Oda, GRG Lanckriet ISMIR 9, 357-362, 2009 | 169 | 2009 |
| A Game-Based Approach for Collecting Semantic Annotations of Music. D Turnbull, R Liu, L Barrington, GRG Lanckriet ISMIR 7, 535-538, 2007 | 160 | 2007 |
| Crowdsourcing earthquake damage assessment using remote sensing imagery L Barrington, S Ghosh, M Greene, S Har-Noy, J Berger, S Gill, AYM Lin, ... Annals of Geophysics 54 (6), 680-687, 2011 | 140 | 2011 |
| 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 | 113 | 2009 |
| 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 | 95 | 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 | 90 | 2007 |
| Modeling music as a dynamic texture L Barrington, AB Chan, G Lanckriet IEEE Transactions on Audio, Speech, and Language Processing 18 (3), 602-612, 2009 | 79 | 2009 |
| Learning Similarity from Collaborative Filters. B McFee, L Barrington, GRG Lanckriet ISMIR, 345-350, 2010 | 62 | 2010 |
| Combining Feature Kernels for Semantic Music Retrieval. L Barrington, M Yazdani, D Turnbull, GRG Lanckriet ISMIR, 614-619, 2008 | 57 | 2008 |
| Identifying Words that are Musically Meaningful. DA Torres, D Turnbull, L Barrington, GRG Lanckriet ISMIR 7, 405-410, 2007 | 52 | 2007 |
| Modelling music and words using a multi-class naıve bayes approach D Turnbull, L Barrington, G Lanckriet ISMIR, 2006 | 49 | 2006 |
| Engaging ‘the crowd’in remote sensing to learn about habitat affinity of the Weddell seal in Antarctica MA LaRue, DG Ainley, J Pennycook, K Stamatiou, L Salas, N Nur, ... Remote Sensing in Ecology and Conservation 6 (1), 70-78, 2020 | 48 | 2020 |
| Crowdsourcing the unknown: The satellite search for Genghis Khan AYM Lin, A Huynh, G Lanckriet, L Barrington PloS one 9 (12), e114046, 2014 | 47 | 2014 |
| System and method for geolocation of social media posts L Barrington, N Ricklin, S Har-Noy US Patent 9,032,000, 2015 | 45 | 2015 |
| Game-powered machine learning L Barrington, D Turnbull, G Lanckriet Proceedings of the National Academy of Sciences 109 (17), 6411-6416, 2012 | 40 | 2012 |
| Improving Auto-tagging by Modeling Semantic Co-occurrences. R Miotto, L Barrington, GRG Lanckriet ISMIR, 297-302, 2010 | 34 | 2010 |
