| Introducing wesad, a multimodal dataset for wearable stress and affect detection P Schmidt, A Reiss, R Duerichen, C Marberger, K Van Laerhoven Proceedings of the 20th ACM international conference on multimodal …, 2018 | 913 | 2018 |
| CNN-based sensor fusion techniques for multimodal human activity recognition S Münzner, P Schmidt, A Reiss, M Hanselmann, R Stiefelhagen, ... Proceedings of the 2017 ACM international symposium on wearable computers …, 2017 | 243 | 2017 |
| Wearable-based affect recognition—A review P Schmidt, A Reiss, R Dürichen, K Van Laerhoven Sensors 19 (19), 4079, 2019 | 209 | 2019 |
| Multitask Gaussian processes for multivariate physiological time-series analysis R Dürichen, MAF Pimentel, L Clifton, A Schweikard, DA Clifton IEEE Transactions on Biomedical Engineering 62 (1), 314-322, 2014 | 188 | 2014 |
| Evaluating and comparing algorithms for respiratory motion prediction F Ernst, R Dürichen, A Schlaefer, A Schweikard Physics in Medicine & Biology 58 (11), 3911, 2013 | 105 | 2013 |
| Early risk assessment for COVID-19 patients from emergency department data using machine learning FS Heldt, MP Vizcaychipi, S Peacock, M Cinelli, L McLachlan, F Andreotti, ... Scientific reports 11 (1), 4200, 2021 | 98 | 2021 |
| Wearable affect and stress recognition: A review P Schmidt, A Reiss, R Duerichen, K Van Laerhoven arXiv preprint arXiv:1811.08854, 2018 | 65 | 2018 |
| Multi-target affect detection in the wild: an exploratory study P Schmidt, R Dürichen, A Reiss, K Van Laerhoven, T Plötz Proceedings of the 2019 ACM International Symposium on Wearable Computers …, 2019 | 55 | 2019 |
| Labelling affective states" in the wild" practical guidelines and lessons learned P Schmidt, A Reiss, R Dürichen, K Van Laerhoven Proceedings of the 2018 ACM international joint conference and 2018 …, 2018 | 31 | 2018 |
| Multi-task Gaussian process models for biomedical applications R Dürichen, MAF Pimentel, L Clifton, A Schweikard, DA Clifton IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI …, 2014 | 30 | 2014 |
| Evaluation of the potential of multi-modal sensors for respiratory motion prediction and correlation R Dürichen, L Davenport, R Bruder, T Wissel, A Schweikard, F Ernst 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 30 | 2013 |
| Respiratory motion compensation with relevance vector machines R Dürichen, T Wissel, F Ernst, A Schweikard Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 26 | 2013 |
| Multivariate respiratory motion prediction R Dürichen, T Wissel, F Ernst, A Schlaefer, A Schweikard Physics in Medicine & Biology 59 (20), 6043, 2014 | 19 | 2014 |
| Personal thermal perception models using skin temperatures and HR/HRV features: comparison of smartwatch and professional measurement devices F Kobiela, R Shen, M Schweiker, R Dürichen Proceedings of the 2019 ACM International Symposium on Wearable Computers …, 2019 | 16 | 2019 |
| Tissue thickness estimation for high precision head-tracking using a galvanometric laser scanner—A case study T Wissel, P Stüber, B Wagner, R Dürichen, R Bruder, A Schweikard, ... 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 14 | 2014 |
| Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes O Carr, A Javer, P Rockenschaub, O Parsons, R Durichen Machine Learning for Health, 220-238, 2021 | 9 | 2021 |
| Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units F Andreotti, FS Heldt, B Abu-Jamous, M Li, A Javer, O Carr, S Jovanovic, ... arXiv preprint arXiv:2007.08491, 2020 | 9 | 2020 |
| Prediction of electrocardiography features points using seismocardiography data: a machine learning approach R Dürichen, KD Verma, SY Yee, T Rocznik, P Schmidt, J Bödecker, ... Proceedings of the 2018 ACM International Symposium on Wearable Computers, 96-99, 2018 | 8 | 2018 |
| Wearable affect and stress recognition: A review. arXiv 2018 P Schmidt, A Reiss, R Duerichen, K Van Laerhoven arXiv preprint arXiv:1811.08854, 0 | 8 | |
| Binary Input Layer: Training of CNN models with binary input data R Dürichen, T Rocznik, O Renz, C Peters arXiv preprint arXiv:1812.03410, 2018 | 7 | 2018 |
Attila ReissBosch Center for Artificial IntelligenceBestätigte E-Mail-Adresse bei de.bosch.com
