Attention U-Net: learning where to look for the pancreas O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... First Conference on Medical Imaging with Deep Learning (MIDL), 2018 | 6451 | 2018 |
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables N Hammerla, S Halloran, T Ploetz Proc. IJCAI 2016 (arXiv preprint arXiv:1604.08880), 2016 | 1219 | 2016 |
Large scale population assessment of physical activity using wrist worn accelerometers: the UK biobank study A Doherty, D Jackson, N Hammerla, T Plötz, P Olivier, MH Granat, T White, ... PloS one 12 (2), e0169649, 2017 | 1022 | 2017 |
Offline bilingual word vectors, orthogonal transformations and the inverted softmax SL Smith, DHP Turban, S Hamblin, NY Hammerla Fifth International Conference on Learning Representations (ICLR), 2017 | 624 | 2017 |
Feature learning for activity recognition in ubiquitous computing T Plötz, NY Hammerla, PL Olivier Proc. IJCAI 2011, 2011 | 483 | 2011 |
The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices M Kranz, A Möller, N Hammerla, S Diewald, T Plötz, P Olivier, L Roalter Pervasive and Mobile Computing 9 (2), 203-215, 2013 | 313 | 2013 |
PD Disease State Assessment in Naturalistic Environments using Deep Learning N Hammerla, J Fisher, P Andras, L Rochester, R Walker, T Plötz AAAI 2015, 2015 | 239 | 2015 |
Attention u-net: learning where to look for the pancreas (2018) O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999, 1804 | 221 | 1804 |
Relational graph attention networks D Busbridge, D Sherburn, P Cavallo, NY Hammerla arXiv preprint arXiv:1904.05811, 2019 | 208 | 2019 |
Optimising sampling rates for accelerometer-based human activity recognition A Khan, N Hammerla, S Mellor, T Plötz Pattern Recognition Letters 73, 33-40, 2016 | 182 | 2016 |
On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution NY Hammerla, R Kirkham, P Andras, T Plötz Proceedings of the 17th annual international symposium on wearable computers …, 2013 | 160 | 2013 |
ClimbAX: skill assessment for climbing enthusiasts C Ladha, NY Hammerla, P Olivier, T Plötz Proceedings of the 2013 ACM international joint conference on Pervasive and …, 2013 | 158 | 2013 |
Using unlabeled data in a sparse-coding framework for human activity recognition S Bhattacharya, P Nurmi, N Hammerla, T Plötz Pervasive and Mobile Computing 15, 242-262, 2014 | 146 | 2014 |
Dog's life: wearable activity recognition for dogs C Ladha, N Hammerla, E Hughes, P Olivier, T Ploetz Proceedings of the 2013 ACM international joint conference on Pervasive and …, 2013 | 146 | 2013 |
Automatic assessment of problem behavior in individuals with developmental disabilities T Plötz, NY Hammerla, A Rozga, A Reavis, N Call, GD Abowd Proceedings of the 2012 ACM conference on ubiquitous computing, 391-400, 2012 | 145 | 2012 |
Let's (not) stick together: pairwise similarity biases cross-validation in activity recognition NY Hammerla, T Plötz Proceedings of the 2015 ACM international joint conference on pervasive and …, 2015 | 124 | 2015 |
Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers JM Fisher, NY Hammerla, T Ploetz, P Andras, L Rochester, RW Walker Parkinsonism & related disorders 33, 44-50, 2016 | 111 | 2016 |
Gymskill: A personal trainer for physical exercises A Möller, L Roalter, S Diewald, J Scherr, M Kranz, N Hammerla, P Olivier, ... 2012 IEEE International Conference on Pervasive Computing and Communications …, 2012 | 99 | 2012 |
Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients JM Fisher, NY Hammerla, L Rochester, P Andras, RW Walker Telemedicine and e-Health 22 (1), 63-69, 2016 | 96 | 2016 |
Graph neural networks for link prediction with subgraph sketching BP Chamberlain, S Shirobokov, E Rossi, F Frasca, T Markovich, ... arXiv preprint arXiv:2209.15486, 2022 | 95 | 2022 |