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Patrick Thiam
Patrick Thiam
Institute of Neural Information Processing, Ulm University, Germany
Bestätigte E-Mail-Adresse bei uni-ulm.de
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Zitiert von
Zitiert von
Jahr
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
942016
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, 71-83, 2017
932017
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, ...
Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2017
842017
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
792019
Multimodal data fusion for person-independent, continuous estimation of pain intensity
M Kächele, P Thiam, M Amirian, P Werner, S Walter, F Schwenker, ...
Engineering Applications of Neural Networks: 16th International Conference …, 2015
782015
Exploring Deep Physiological Models for Nociceptive Pain Recognition
P Thiam, P Bellmann, HA Kestler, F Schwenker
Sensors 19 (20), 4503, 2019
712019
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
452015
Two-stream attention network for pain recognition from video sequences
P Thiam, HA Kestler, F Schwenker
Sensors 20 (3), 839, 2020
432020
Multi-modal pain intensity assessment based on physiological signals: A deep learning perspective
P Thiam, H Hihn, DA Braun, HA Kestler, F Schwenker
Frontiers in Physiology 12, 720464, 2021
402021
Pain recognition with camera photoplethysmography
V Kessler, P Thiam, M Amirian, F Schwenker
2017 Seventh International Conference on Image Processing Theory, Tools and …, 2017
362017
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
362017
Multi-classifier-systems: architectures, algorithms and applications
P Bellmann, P Thiam, F Schwenker
Computational Intelligence for Pattern Recognition, 83-113, 2018
352018
Multimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signals.
P Thiam, HA Kestler, F Schwenker
ICPRAM, 289-296, 2020
312020
Audio-visual recognition of pain intensity
P Thiam, V Kessler, S Walter, G Palm, F Schwenker
Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2017
262017
Hierarchical Combination of Video Features for Personalised Pain Level Recognition.
P Thiam, V Kessler, F Schwenker
ESANN, 465-470, 2017
222017
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
182016
Multimodal fusion including camera photoplethysmography for pain recognition
V Kessler, P Thiam, M Amirian, F Schwenker
2017 International Conference on Companion Technology (ICCT), 1-4, 2017
172017
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
172014
Machine learning algorithms for the automated classification of contaminated maize at regulatory limits via infrared attenuated total reflection spectroscopy
T Oener, P Thiam, G Kos, R Krska, F Schwenker, B Mizaikoff
World mycotoxin journal 12 (2), 113-122, 2019
162019
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
132018
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