Patrick Thiam
Patrick Thiam
Institute of Neural Information Processing, Ulm University, Germany
Verified email at uni-ulm.de
TitleCited byYear
Methods for person-centered continuous pain intensity assessment from bio-physiological channels
M Kächele, P Thiam, M Amirian, F Schwenker, G Palm
IEEE Journal of Selected Topics in Signal Processing 10 (5), 854-864, 2016
232016
Multimodal data fusion for person-independent, continuous estimation of pain intensity
M Kächele, P Thiam, M Amirian, P Werner, S Walter, F Schwenker, ...
International Conference on Engineering Applications of Neural Networks, 275-285, 2015
222015
Adaptive confidence learning for the personalization of pain intensity estimation systems
M Kächele, M Amirian, P Thiam, P Werner, S Walter, G Palm, ...
Evolving Systems 8 (1), 71-83, 2017
212017
Ensemble methods for continuous affect recognition: Multi-modality, temporality, and challenges
M Kächele, P Thiam, G Palm, F Schwenker, M Schels
Proceedings of the 5th International Workshop on Audio/Visual Emotion …, 2015
212015
The senseemotion database: A multimodal database for the development and systematic validation of an automatic pain-and emotion-recognition system
M Velana, S Gruss, G Layher, P Thiam, Y Zhang, D Schork, V Kessler, ...
IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human …, 2016
132016
On annotation and evaluation of multi-modal corpora in affective human-computer interaction
M Kächele, M Schels, S Meudt, V Kessler, M Glodek, P Thiam, ...
International Workshop on Multimodal Analyses Enabling Artificial Agents in …, 2014
112014
Detection of emotional events utilizing support vector methods in an active learning HCI scenario
P Thiam, S Meudt, M Kächele, G Palm, F Schwenker
Proceedings of the 2014 workshop on emotion representation and modelling in …, 2014
102014
Fusion mappings for multimodal affect recognition
M Kächele, M Schels, P Thiam, F Schwenker
2015 IEEE Symposium Series on Computational Intelligence, 307-313, 2015
82015
Hierarchical Combination of Video Features for Personalised Pain Level Recognition.
P Thiam, V Kessler, F Schwenker
ESANN, 2017
72017
Active learning for speech event detection in HCI
P Thiam, S Meudt, F Schwenker, G Palm
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 285-297, 2016
62016
A temporal dependency based multi-modal active learning approach for audiovisual event detection
P Thiam, S Meudt, G Palm, F Schwenker
Neural Processing Letters 48 (2), 709-732, 2018
52018
Audio-visual recognition of pain intensity
P Thiam, V Kessler, S Walter, G Palm, F Schwenker
IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human …, 2016
52016
Continuous multimodal human affect estimation using echo state networks
M Amirian, M Kächele, P Thiam, V Kessler, F Schwenker
Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016
52016
Ensembles of support vector data description for active learning based annotation of affective corpora
P Thiam, M Kächele, F Schwenker, G Palm
2015 IEEE symposium series on computational intelligence, 1801-1807, 2015
52015
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, 2019
42019
Pain recognition with camera photoplethysmography
V Kessler, P Thiam, M Amirian, F Schwenker
2017 Seventh International Conference on Image Processing Theory, Tools and …, 2017
42017
Majority-class aware support vector domain oversampling for imbalanced classification problems
M Kächele, P Thiam, G Palm, F Schwenker
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 83-92, 2014
42014
Multi-classifier-systems: architectures, algorithms and applications
P Bellmann, P Thiam, F Schwenker
Computational Intelligence for Pattern Recognition, 83-113, 2018
32018
Multi-modal data fusion for pain intensity assessment and classification
P Thiam, F Schwenker
2017 Seventh International Conference on Image Processing Theory, Tools and …, 2017
32017
Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems
F Schwenker, R Böck, M Schels, S Meudt, I Siegert, M Glodek, M Kächele, ...
Companion Technology, 387-408, 2017
32017
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