| Content-based organization and visualization of music archives E Pampalk, A Rauber, D Merkl Proceedings of the tenth ACM international conference on Multimedia, 570-579, 2002 | 455 | 2002 |
| Improvements of Audio-Based Music Similarity and Genre Classificaton. E Pampalk, A Flexer, G Widmer ISMIR 5, 634-637, 2005 | 352 | 2005 |
| Computational models of music similarity and their application in music information retrieval E Pampalk Technische Universität Wien, 2006 | 319 | 2006 |
| Dynamic Playlist Generation Based on Skipping Behavior. E Pampalk, T Pohle, G Widmer ISMIR 5, 634-637, 2005 | 228 | 2005 |
| Exploring music collections by browsing different views E Pampalk, S Dixon, G Widmer Computer Music Journal 28 (2), 49-62, 2004 | 214 | 2004 |
| Evaluating rhythmic descriptors for musical genre classification F Gouyon, S Dixon, E Pampalk, G Widmer Proceedings of the AES 25th International Conference, 196-204, 2004 | 211 | 2004 |
| Islands of music: Analysis, organization, and visualization of music archives E Pampalk Master's thesis, Vienna University of Technology, Vienna, Austria, 2001 | 203 | 2001 |
| Using psycho-acoustic models and self-organizing maps to create a hierarchical structuring of music by sound similarity A Rauber, E Pampalk, D Merkl na, 2002 | 187 | 2002 |
| Using smoothed data histograms for cluster visualization in self-organizing maps E Pampalk, A Rauber, D Merkl Artificial Neural Networks—ICANN 2002: International Conference Madrid …, 2002 | 182 | 2002 |
| A Matlab Toolbox to Compute Music Similarity from Audio. E Pampalk ISMIR, 254-257, 2004 | 180 | 2004 |
| Classification of dance music by periodicity patterns S Dixon, E Pampalk, G Widmer Johns Hopkins University, 2003 | 169 | 2003 |
| In search of the Horowitz factor G Widmer, S Dixon, W Goebl, E Pampalk, A Tobudic AI Magazine 24 (3), 111-111, 2003 | 166 | 2003 |
| Artist Classification with Web-Based Data. P Knees, E Pampalk, G Widmer ISMIR, 2004 | 161 | 2004 |
| The SOM-enhanced JukeBox: Organization and visualization of music collections based on perceptual models A Rauber, E Pampalk, D Merkl Journal of New Music Research 32 (2), 193-210, 2003 | 139 | 2003 |
| Evaluation of frequently used audio features for classification of music into perceptual categories T Pohle, E Pampalk, G Widmer Proceedings of the Fourth International Workshop on Content-Based Multimedia …, 2005 | 125 | 2005 |
| On the evaluation of perceptual similarity measures for music E Pampalk, S Dixon, G Widmer of: Proceedings of the sixth international conference on digital audio …, 2003 | 115 | 2003 |
| MusicRainbow: A New User Interface to Discover Artists Using Audio-based Similarity and Web-based Labeling. E Pampalk, M Goto ISMIR, 367-370, 2006 | 108 | 2006 |
| 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 | 107 | 2007 |
| Generating similarity-based playlists using traveling salesman algorithms T Pohle, E Pampalk, G Widmer Proceedings of the 8th International Conference on Digital Audio Effects …, 2005 | 106 | 2005 |
| MusicSun: A New Approach to Artist Recommendation. E Pampalk, M Goto ISMIR, 101-104, 2007 | 84 | 2007 |
