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Peter Bellmann
Peter Bellmann
Institute of Neural Information Processing, Ulm University, Germany
Bestätigte E-Mail-Adresse bei uni-ulm.de
Titel
Zitiert von
Zitiert von
Jahr
Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database
P Thiam, V Kessler, M Amirian, P Bellmann, G Layher, Y Zhang, M Velana, ...
IEEE Transactions on Affective Computing 12 (3), 743-760, 2019
462019
Exploring deep physiological models for nociceptive pain recognition
P Thiam, P Bellmann, HA Kestler, F Schwenker
Sensors 19 (20), 4503, 2019
292019
Multi-classifier-systems: architectures, algorithms and applications
P Bellmann, P Thiam, F Schwenker
Computational intelligence for pattern recognition, 83-113, 2018
262018
Ordinal classification: working definition and detection of ordinal structures
P Bellmann, F Schwenker
IEEE Access 8, 164380-164391, 2020
102020
Using a quartile-based data transformation for pain intensity classification based on the senseemotion database
P Bellmann, P Thiam, F Schwenker
2019 8th International Conference on Affective Computing and Intelligent …, 2019
82019
Deep domain adaptation for facial expression analysis
N Kalischek, P Thiam, P Bellmann, F Schwenker
2019 8th International Conference on Affective Computing and Intelligent …, 2019
52019
Introducing bidirectional ordinal classifier cascades based on a pain intensity recognition scenario
P Bellmann, L Lausser, HA Kestler, F Schwenker
International Conference on Pattern Recognition, 773-787, 2021
32021
Binary classification: counterbalancing class imbalance by applying regression models in combination with one-sided label shifts
P Bellmann, H Hihn, DA Braun, F Schwenker
arXiv preprint arXiv:2011.14764, 2020
32020
Feature extraction: a time window analysis based on the X-ITE pain database
T Ricken, A Steinert, P Bellmann, S Walter, F Schwenker
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 138-148, 2020
32020
Dominant channel fusion architectures-an intelligent late fusion approach
P Bellmann, P Thiam, F Schwenker
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
32020
A Theoretical Approach to Ordinal Classification: Feature Space-Based Definition and Classifier-Independent Detection of Ordinal Class Structures
P Bellmann, L Lausser, HA Kestler, F Schwenker
Applied Sciences 12 (4), 1815, 2022
22022
Using meta labels for the training of weighting models in a sample-specific late fusion classification architecture
P Bellmann, P Thiam, F Schwenker
2020 25th International Conference on Pattern Recognition (ICPR), 2604-2611, 2021
22021
Button press dynamics: beyond binary information in button press decisions
P Bellmann, V Kessler, A Brechmann, F Schwenker
Proceedings of International Conference on Frontiers in Computing and …, 2023
12023
Dynamic time warping-based detection of multi-clicks in button press dynamics data
P Bellmann, V Kessler, A Brechmann, F Schwenker
Proceedings of International Conference on Frontiers in Computing and …, 2023
12023
Pain intensity recognition-an analysis of short-time sequences in a real-world scenario
P Bellmann, P Thiam, F Schwenker
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 149-161, 2020
12020
Person Identification based on Physiological Signals: Conditions and Risks.
P Bellmann, P Thiam, F Schwenker
ICPRAM, 373-380, 2020
12020
Machine Learning-based Pain Intensity Estimation: Where Pattern Recognition meets Chaos Theory–An Example based on the BioVid Heat Pain Database
P Bellmann, P Thiam, HA Kestler, F Schwenker
IEEE Access, 2022
2022
Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades
P Bellmann, L Lausser, HA Kestler, F Schwenker
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2021
2021
Automated Pain Assessment: Is it Useful to Combine Person-Specific Data Samples?
P Bellmann, F Schwenker
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1588-1593, 2020
2020
Automatic Pain Intensity Recognition: Training Set Selection based on Outliers and Centroids.
P Bellmann, P Thiam, F Schwenker
ESANN, 649-654, 2020
2020
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