| Detecting bird sounds in a complex acoustic environment and application to bioacoustic monitoring R Bardeli, D Wolff, F Kurth, M Koch, KH Tauchert, KH Frommolt Pattern Recognition Letters 31 (12), 1524-1534, 2010 | 305 | 2010 |
| Learning music similarity from relative user ratings D Wolff, T Weyde Information Retrieval 17 (2), 109-136, 2014 | 19 | 2014 |
| Adapting Metrics for Music Similarity Using Comparative Ratings. D Wolff, T Weyde ISMIR, 73-78, 2011 | 19 | 2011 |
| The Digital Music Lab: A Big Data Infrastructure for Digital Musicology S Abdallah, E Benetos, N Gold, S Hargreaves, T Weyde, D Wolff Journal on Computing and Cultural Heritage (JOCCH) 10 (1), 2, 2017 | 18 | 2017 |
| The Digital Music Lab: A Big Data Infrastructure for Digital Musicology TWDW Samer Abdallah, Emmanouil Benetos, Nicolas Gold, Stephen Hargreaves Journal on Computing and Cultural Heritage (JOCCH) 10 (1), 2017 | 18 | 2017 |
| A Systematic Comparison of Music Similarity Adaptation Approaches. D Wolff, S Stober, A Nürnberger, T Weyde ISMIR, 103-108, 2012 | 14 | 2012 |
| Bird song recognition in complex audio scenes R Bardeli, D Wolff, M Clausen International Expert meeting on IT-based detection of bioacoustical pattern …, 2008 | 13 | 2008 |
| Big Chord Data Extraction and Mining M Barthet, M Plumbley, A Kachkaev, J Dykes, D Wolff, T Weyde Proceedings of Conference on Interdisciplinary Musicology, Berlin, 2014 | 12 | 2014 |
| Detecting Bird Songs via Periodic Structures: A Robust Pattern Recognition Approach to Unsupervised Animal Monitoring D Wolff To be found at http://www-mmdb.iai.uni-bonn.de/download/Diplomarbeiten …, 2008 | 10 | 2008 |
| Combining sources of description for approximating music similarity ratings D Wolff, T Weyde Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and …, 2013 | 8 | 2013 |
| Big Data for Musicology T Weyde, S Cottrell, J Dykes, E Benetos, D Wolff, D Tidhar | 8* | |
| Comparative Music Similarity Modelling Using Transfer Learning Across User Groups D Wolff, A MacFarlane, T Weyde 16th International Society for Music Information Retrieval Conference, 24-30, 2015 | 5 | 2015 |
| Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning S Tran, D Wolff, T Weyde, AA Garcez Audio Engineering Society Conference: 53rd International Conference …, 2014 | 5 | 2014 |
| Feature Preprocessing with RBMs for Music Similarity Learning SN Tran, D Wolff, T Weyde, A Garcez learning 9 (8), 16, 2014 | 5* | 2014 |
| Digital music lab: A framework for analysing big music data S Abdallah, E Benetos, N Gold, S Hargreaves, T Weyde, D Wolff Signal Processing Conference (EUSIPCO), 2016 24th European, 1118-1122, 2016 | 3 | 2016 |
| Creating Audio Based Experiments as Social Web Games with the CASimIR Framework D Wolff, G Bellec, A Friberg, A MacFarlane, T Weyde Audio Engineering Society Conference: 53rd International Conference …, 2014 | 3 | 2014 |
| Spot the Odd Song Out: Similarity Model Adaptation and Analysis using Relative Human Ratings D Wolff City University London, 2014 | 2 | 2014 |
| Adapting similarity on the magnatagatune database: effects of model and feature choices D Wolff, T Weyde Proceedings of the 21st international conference companion on World Wide Web …, 2012 | 2 | 2012 |
| Wearables Security and Privacy J Blasco, TM Chen, HK Patil, D Wolff Mission-Oriented Sensor Networks and Systems: Art and Science, 351-380, 2019 | 1 | 2019 |
| Visualising chord progressions in music collections: a big data approach A Kachkaev, D Wolff, M Barthet, MD Plumbley, J Dykes, T Weyde | 1 | 2014 |
