Multiple classifier systems for the classification of audio-visual emotional states M Glodek, S Tschechne, G Layher, M Schels, T Brosch, S Scherer, ... Affective Computing and Intelligent Interaction: Fourth International …, 2011 | 178 | 2011 |
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 | 90 | 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, 2016 | 88 | 2016 |
Fusion of audio-visual features using hierarchical classifier systems for the recognition of affective states and the state of depression M Kächele, M Glodek, D Zharkov, S Meudt, F Schwenker International Conference on Pattern Recognition Applications and Methods …, 2014 | 80 | 2014 |
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 | 74 | 2015 |
Bio-visual fusion for person-independent recognition of pain intensity M Kächele, P Werner, A Al-Hamadi, G Palm, S Walter, F Schwenker Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg …, 2015 | 66 | 2015 |
Inferring depression and affect from application dependent meta knowledge M Kächele, M Schels, F Schwenker AVEC 2014, Satellite workshop of ACM Multimedia 2014, 2014 | 60 | 2014 |
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 |
Speeding up k-means by approximating Euclidean distances via block vectors T Bottesch, T Bühler, M Kächele Proceedings of The 33rd International Conference on Machine Learning, 2578-2586, 2016 | 43 | 2016 |
Using unlabeled data to improve classification of emotional states in human computer interaction M Schels, M Kächele, M Glodek, D Hrabal, S Walter, F Schwenker Journal on Multimodal User Interfaces 8, 5-16, 2014 | 37 | 2014 |
Design and fabrication of faceted mirror arrays for light field capture M Fuchs, M Kächele, S Rusinkiewicz Computer Graphics Forum 32 (8), 246-257, 2013 | 28 | 2013 |
Prosodic, spectral and voice quality feature selection using a long-term stopping criterion for audio-based emotion recognition M Kächele, D Zharkov, S Meudt, F Schwenker Pattern Recognition (ICPR), 2014 22nd International Conference on, 803-808, 2014 | 27 | 2014 |
Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech S Meudt, D Zharkov, M Kächele, F Schwenker Proceedings of the 15th ACM on International conference on multimodal …, 2013 | 24 | 2013 |
Revisiting the EmotiW challenge: how wild is it really? Classification of human emotions in movie snippets based on multiple features M Kächele, M Schels, S Meudt, G Palm, F Schwenker Journal on Multimodal User Interfaces 10, 151-162, 2016 | 23 | 2016 |
Using radial basis function neural networks for continuous and discrete pain estimation from bio-physiological signals M Amirian, M Kächele, F Schwenker Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop …, 2016 | 22 | 2016 |
Data fusion for automated pain recognition S Walter, S Gruss, H Traue, P Werner, A Al-Hamadi, M Kächele, ... 2015 9th International Conference on Pervasive Computing Technologies for …, 2015 | 21 | 2015 |
Support vector regression of sparse dictionary-based features for view-independent action unit intensity estimation M Amirian, M Kächele, G Palm, F Schwenker 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 19 | 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 |
Cascaded fusion of dynamic, spatial, and textural feature sets for person-independent facial emotion recognition M Kächele, F Schwenker 2014 22nd International Conference on Pattern Recognition, 4660-4665, 2014 | 15 | 2014 |