| Accurate activity recognition in a home setting T Van Kasteren, A Noulas, G Englebienne, B Kröse Proceedings of the 10th international conference on Ubiquitous computing, 1-9, 2008 | 939 | 2008 |
| An activity monitoring system for elderly care using generative and discriminative models TLM Van Kasteren, G Englebienne, BJA Kröse Personal and ubiquitous computing 14 (6), 489-498, 2010 | 246 | 2010 |
| Human activity recognition from wireless sensor network data: Benchmark and software TLM van Kasteren, G Englebienne, BJA Kröse Activity recognition in pervasive intelligent environments, 165-186, 2011 | 173 | 2011 |
| Transferring knowledge of activity recognition across sensor networks TLM Van Kasteren, G Englebienne, BJA Kröse International Conference on Pervasive Computing, 283-300, 2010 | 164 | 2010 |
| Activity recognition using semi-Markov models on real world smart home datasets TLM Van Kasteren, G Englebienne, BJA Kröse Journal of ambient intelligence and smart environments 2 (3), 311-325, 2010 | 143 | 2010 |
| Multimodal speaker diarization A Noulas, G Englebienne, BJA Krose IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (1), 79-93, 2011 | 81 | 2011 |
| Hierarchical activity recognition using automatically clustered actions TLM van Kasteren, G Englebienne, BJA Kröse International Joint Conference on Ambient Intelligence, 82-91, 2011 | 70 | 2011 |
| Learning concept mappings from instance similarity S Wang, G Englebienne, S Schlobach International semantic web conference, 339-355, 2008 | 62 | 2008 |
| Towards speech emotion recognition" in the wild" using aggregated corpora and deep multi-task learning J Kim, G Englebienne, KP Truong, V Evers arXiv preprint arXiv:1708.03920, 2017 | 57 | 2017 |
| Deep learning to predict falls in older adults based on daily-life trunk accelerometry A Nait Aicha, G Englebienne, KS Van Schooten, M Pijnappels, B Kröse Sensors 18 (5), 1654, 2018 | 54 | 2018 |
| Classifying social actions with a single accelerometer H Hung, G Englebienne, J Kools Proceedings of the 2013 ACM international joint conference on Pervasive and …, 2013 | 50 | 2013 |
| Recognizing Activities in Multiple Contexts using Transfer Learning. T van Kasteren, G Englebienne, BJA Kröse AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems, 142-149, 2008 | 50 | 2008 |
| In-home activity recognition: Bayesian inference for hidden Markov models FJ Ordóñez, G Englebienne, P De Toledo, T Van Kasteren, A Sanchis, ... IEEE Pervasive Computing 13 (3), 67-75, 2014 | 48 | 2014 |
| Learning latent structure for activity recognition N Hu, G Englebienne, Z Lou, B Kröse 2014 IEEE International Conference on Robotics and Automation (ICRA), 1048-1053, 2014 | 47 | 2014 |
| Unsupervised visit detection in smart homes AN Aicha, G Englebienne, B Kröse Pervasive and Mobile Computing 34, 157-167, 2017 | 27 | 2017 |
| A non-parametric hierarchical model to discover behavior dynamics from tracks JFP Kooij, G Englebienne, DM Gavrila European Conference on Computer Vision, 270-283, 2012 | 27 | 2012 |
| Deep temporal models using identity skip-connections for speech emotion recognition J Kim, G Englebienne, KP Truong, V Evers Proceedings of the 25th ACM international conference on Multimedia, 1006-1013, 2017 | 26 | 2017 |
| Learning to Recognize Human Activities from Soft Labeled Data. N Hu, Z Lou, G Englebienne, BJA Kröse Robotics: Science and Systems, 2014 | 26 | 2014 |
| Learning spectro-temporal features with 3D CNNs for speech emotion recognition J Kim, KP Truong, G Englebienne, V Evers 2017 Seventh International Conference on Affective Computing and Intelligent …, 2017 | 25 | 2017 |
| Behavior analysis of elderly using topic models K Rieping, G Englebienne, B Kröse Pervasive and Mobile Computing 15, 181-199, 2014 | 24 | 2014 |
Ben KroseProfessor Emeritus, Amsterdam University of Applied Science; Professor, University of AmsterdamGeverifieerd e-mailadres voor hva.nl
