Markus Kächele
Markus Kächele
Institute of Neural Information Processing, Ulm University
Verified email at uni-ulm.de
Title
Cited by
Cited by
Year
Multiple classifier systems for the classification of audio-visual emotional states
M Glodek, S Tschechne, G Layher, M Schels, T Brosch, S Scherer, ...
International Conference on Affective Computing and Intelligent Interaction …, 2011
1202011
Inferring depression and affect from application dependent meta knowledge
M Kächele, M Schels, F Schwenker
AVEC 2014, Satellite workshop of ACM Multimedia 2014, 2014
542014
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
542014
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
402016
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
392017
Bio-visual fusion for person-independent recognition of pain intensity
M Kächele, P Werner, A Al-Hamadi, G Palm, S Walter, F Schwenker
International Workshop on Multiple Classifier Systems, 220-230, 2015
372015
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 (1), 5-16, 2014
322014
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
312015
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
312015
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
262016
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
222013
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
212014
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
202013
Revisiting the EmotiW challenge: how wild is it really?
M Kächele, M Schels, S Meudt, G Palm, F Schwenker
Journal on Multimodal User Interfaces 10 (2), 151-162, 2016
182016
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
142014
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
132014
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
132014
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
112017
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
112015
Using radial basis function neural networks for continuous and discrete pain estimation from bio-physiological signals
M Amirian, M Kächele, F Schwenker
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 269-284, 2016
102016
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Articles 1–20