Features for content-based audio retrieval D Mitrović, M Zeppelzauer, C Breiteneder Advances in computers 78, 71-150, 2010 | 336 | 2010 |
Comparing visual-interactive labeling with active learning: An experimental study J Bernard, M Hutter, M Zeppelzauer, D Fellner, M Sedlmair IEEE transactions on visualization and computer graphics 24 (1), 298-308, 2017 | 169 | 2017 |
Machine unlearning: Linear filtration for logit-based classifiers T Baumhauer, P Schöttle, M Zeppelzauer Machine Learning 111 (9), 3203-3226, 2022 | 122 | 2022 |
VIAL: a unified process for visual interactive labeling J Bernard, M Zeppelzauer, M Sedlmair, W Aigner The Visual Computer 34, 1189-1207, 2018 | 106 | 2018 |
Discrimination and retrieval of animal sounds D Mitrovic, M Zeppelzauer, C Breiteneder Multi-Media Modelling Conference Proceedings, 2006 12th International, 5 pp., 2006 | 103 | 2006 |
Automated detection of elephants in wildlife video M Zeppelzauer EURASIP journal on image and video processing 2013, 1-23, 2013 | 84 | 2013 |
Towards user‐centered active learning algorithms J Bernard, M Zeppelzauer, M Lehmann, M Müller, M Sedlmair Computer Graphics Forum 37 (3), 121-132, 2018 | 69 | 2018 |
Visualizing sound emission of elephant vocalizations: evidence for two rumble production types AS Stoeger, G Heilmann, M Zeppelzauer, A Ganswindt, S Hensman, ... PloS one 7 (11), e48907, 2012 | 67 | 2012 |
Towards an automated acoustic detection system for free-ranging elephants M Zeppelzauer, S Hensman, AS Stoeger Bioacoustics 24 (1), 13-29, 2015 | 64 | 2015 |
Automatic classification of functional gait disorders D Slijepcevic, M Zeppelzauer, AM Gorgas, C Schwab, M Schüller, A Baca, ... IEEE journal of biomedical and health informatics 22 (5), 1653-1661, 2017 | 59 | 2017 |
Automatic prediction of building age from photographs M Zeppelzauer, M Despotovic, M Sakeena, D Koch, M Döller Proceedings of the 2018 ACM on International Conference on Multimedia …, 2018 | 57 | 2018 |
Interactive 3D segmentation of rock-art by enhanced depth maps and gradient preserving regularization M Zeppelzauer, G Poier, M Seidl, C Reinbacher, S Schulter, ... Journal on Computing and Cultural Heritage (JOCCH) 9 (4), 1-30, 2016 | 55 | 2016 |
k-Anonymity in practice: How generalisation and suppression affect machine learning classifiers D Slijepčević, M Henzl, LD Klausner, T Dam, P Kieseberg, M Zeppelzauer Computers & Security 111, 102488, 2021 | 48 | 2021 |
KAVAGait: Knowledge-assisted visual analytics for clinical gait analysis M Wagner, D Slijepcevic, B Horsak, A Rind, M Zeppelzauer, W Aigner IEEE transactions on visualization and computer graphics 25 (3), 1528-1542, 2018 | 46 | 2018 |
GaitRec, a large-scale ground reaction force dataset of healthy and impaired gait B Horsak, D Slijepcevic, AM Raberger, C Schwab, M Worisch, ... Scientific data 7 (1), 143, 2020 | 44 | 2020 |
Establishing the fundamentals for an elephant early warning and monitoring system M Zeppelzauer, AS Stoeger BMC research notes 8, 1-15, 2015 | 43 | 2015 |
Explaining machine learning models for clinical gait analysis D Slijepcevic, F Horst, S Lapuschkin, B Horsak, AM Raberger, A Kranzl, ... ACM Transactions on Computing for Healthcare (HEALTH) 3 (2), 1-27, 2021 | 41* | 2021 |
Analysis of the data quality of audio descriptions of environmental sounds D Mitrovic, M Zeppelzauer, H Eidenberger Journal of Digital Information Management 5 (2), 48, 2007 | 41 | 2007 |
Cultural event recognition with visual convnets and temporal models A Salvador, M Zeppelzauer, D Manchon-Vizuete, A Calafell, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 38 | 2015 |
Age-group estimation in free-ranging African elephants based on acoustic cues of low-frequency rumbles AS Stoeger, M Zeppelzauer, A Baotic Bioacoustics 23 (3), 231-246, 2014 | 37 | 2014 |