| 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 | 91 | 2017 |
| 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 | 90 | 2016 |
| 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 | 79 | 2017 |
| 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 | 76 | 2019 |
| 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 | 75 | 2015 |
| Exploring Deep Physiological Models for Nociceptive Pain Recognition P Thiam, P Bellmann, HA Kestler, F Schwenker Sensors 19 (20), 4503, 2019 | 69 | 2019 |
| 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 | 45 | 2015 |
| Two-stream attention network for pain recognition from video sequences P Thiam, HA Kestler, F Schwenker Sensors 20 (3), 839, 2020 | 39 | 2020 |
| 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 | 35 | 2021 |
| Multi-classifier-systems: architectures, algorithms and applications P Bellmann, P Thiam, F Schwenker Computational Intelligence for Pattern Recognition, 83-113, 2018 | 34 | 2018 |
| 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 | 34 | 2017 |
| Pain recognition with camera photoplethysmography V Kessler, P Thiam, M Amirian, F Schwenker 2017 Seventh International Conference on Image Processing Theory, Tools and …, 2017 | 31 | 2017 |
| Multimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signals. P Thiam, HA Kestler, F Schwenker ICPRAM, 289-296, 2020 | 29 | 2020 |
| 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 | 24 | 2017 |
| Hierarchical Combination of Video Features for Personalised Pain Level Recognition. P Thiam, V Kessler, F Schwenker ESANN, 465-470, 2017 | 22 | 2017 |
| 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 | 18 | 2016 |
| 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 | 17 | 2014 |
| 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 | 16 | 2017 |
| 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 | 14 | 2019 |
| 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 | 13 | 2018 |
Friedhelm SchwenkerUlm University, Institute of Neural Information ProcessingVerified email at uni-ulm.de
