| Classification of time series by shapelet transformation J Hills, J Lines, E Baranauskas, J Mapp, A Bagnall Data mining and knowledge discovery 28, 851-881, 2014 | 647 | 2014 |
| Binary shapelet transform for multiclass time series classification A Bostrom, A Bagnall Big Data Analytics and Knowledge Discovery: 17th International Conference …, 2015 | 200* | 2015 |
| Otolith shape and size: the importance of age when determining indices for fish-stock separation J Mapp, E Hunter, J Van Der Kooij, S Songer, M Fisher Fisheries Research 190, 43-52, 2017 | 64 | 2017 |
| Three‐dimensional rendering of otolith growth using phase contrast synchrotron tomography JJI Mapp, MH Fisher, RC Atwood, GD Bell, MK Greco, S Songer, E Hunter Journal of Fish Biology 88 (5), 2075-2080, 2016 | 14 | 2016 |
| Time-series Classification with Shapelets J Hills, J Lines, E Baranauskas, J Mapp, A Bagnall Data Min. Knowl. Discov 28, 851-881, 2014 | 9 | 2014 |
| Clupea harengus: intraspecies distinction using curvature scale space and shapelets-classification of North-Sea and Thames herring using boundary contour of sagittal otoliths J Mapp, M Fisher, A Bagnall, J Lines, S Warne, JS Phillips International Conference on Pattern Recognition Applications and Methods 2 …, 2013 | 4 | 2013 |
| Morphometric Otolith Analysis J Mapp University of East Anglia, 2015 | | 2015 |
| Operational viability of stock-separation using shape indices derived from the otolith morphometric outline. An example using sprat and herring. M Fisher, J Mapp, S Songer | | 2014 |
| Utility of Computer Assisted Age and Growth Estimation (CAAGE) in the analysis of otolith images for separating herring (Clupea harengus) spawning groups. M Fisher, J Mapp, S Songer, M Etherton, E Hunter 5th International Otolith Symposium, 2014 | | 2014 |
