| 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 | 463 | 2002 |
| Improvements of Audio-Based Music Similarity and Genre Classificaton. E Pampalk, A Flexer, G Widmer ISMIR 5, 634-637, 2005 | 361 | 2005 |
| Computational models of music similarity and their application in music information retrieval E Pampalk Technische Universität Wien, 2006 | 331 | 2006 |
| Dynamic Playlist Generation Based on Skipping Behavior. E Pampalk, T Pohle, G Widmer ISMIR 5, 634-637, 2005 | 230 | 2005 |
| 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 | 213 | 2004 |
| Exploring music collections by browsing different views E Pampalk, S Dixon, G Widmer Computer Music Journal 28 (2), 49-62, 2004 | 212 | 2004 |
| Islands of music: Analysis, organization, and visualization of music archives E Pampalk Master's thesis, Vienna University of Technology, Vienna, Austria, 2001 | 208 | 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 | 184 | 2002 |
| Using smoothed data histograms for cluster visualization in self-organizing maps E Pampalk, A Rauber, D Merkl International conference on artificial neural networks, 871-876, 2002 | 183 | 2002 |
| A Matlab Toolbox to Compute Music Similarity from Audio. E Pampalk ISMIR, 254-257, 2004 | 179 | 2004 |
| Classification of dance music by periodicity patterns S Dixon, E Pampalk, G Widmer Johns Hopkins University, 2003 | 173 | 2003 |
| Artist Classification with Web-Based Data. P Knees, E Pampalk, G Widmer ISMIR, 2004 | 165 | 2004 |
| In search of the Horowitz factor G Widmer, S Dixon, W Goebl, E Pampalk, A Tobudic AI Magazine 24 (3), 111-111, 2003 | 161 | 2003 |
| 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 | 147 | 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 | 117 | 2003 |
| 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 | 116 | 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 | 108 | 2005 |
| MusicRainbow: A New User Interface to Discover Artists Using Audio-based Similarity and Web-based Labeling. E Pampalk, M Goto ISMIR, 367-370, 2006 | 106 | 2006 |
| MusicSun: A New Approach to Artist Recommendation. E Pampalk, M Goto ISMIR, 101-104, 2007 | 87 | 2007 |
