Παρακολούθηση
Robert Duerichen
Robert Duerichen
Arcturis Data, UK
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα arcturisdata.com
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Παρατίθεται από
Παρατίθεται από
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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
10492018
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
2722017
Wearable-based affect recognition—A review
P Schmidt, A Reiss, R Dürichen, K Van Laerhoven
Sensors 19 (19), 4079, 2019
2342019
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
1942014
Evaluating and comparing algorithms for respiratory motion prediction
F Ernst, R Dürichen, A Schlaefer, A Schweikard
Physics in Medicine & Biology 58 (11), 3911, 2013
1052013
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
1012021
Wearable affect and stress recognition: A review
P Schmidt, A Reiss, R Duerichen, K Van Laerhoven
arXiv preprint arXiv:1811.08854, 2018
722018
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
592019
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
322018
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
322014
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
312013
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
262013
Multivariate respiratory motion prediction
R Dürichen, T Wissel, F Ernst, A Schlaefer, A Schweikard
Physics in Medicine & Biology 59 (20), 6043, 2014
202014
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
162019
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
142014
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
102018
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
92021
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
92020
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
82018
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
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