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Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity., , , , , , and . EANN, volume 517 of Communications in Computer and Information Science, page 275-285. Springer, (2015)Hierarchical support vector machines for multi-class pattern recognition.. KES, page 561-565. IEEE, (2000)ATLAS - Machine learning based annnotation of multimodal data recorded in human-computer interaction scenarios., and . ISCT, page 181-186. Ulm University, (2015)Object classification with simple visual attention and a hierarchical neural network for subsymbolic-symbolic coupling., , , , and . CIRA, page 244-249. IEEE, (1999)Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain Intensity., , , , , and . MPRSS, volume 11377 of Lecture Notes in Computer Science, page 84-100. Springer, (2018)Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition., and . MCS, volume 5997 of Lecture Notes in Computer Science, page 225-234. Springer, (2010)Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals., , and . ANNPR, volume 9896 of Lecture Notes in Computer Science, page 269-284. Springer, (2016)Fusion Architectures for Multimodal Cognitive Load Recognition., , and . MPRSS, volume 10183 of Lecture Notes in Computer Science, page 36-47. Springer, (2016)Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes., , and . MPRSS, volume 10183 of Lecture Notes in Computer Science, page 12-23. Springer, (2016)Classification of bioacoustic time series based on the combination of global and local decisions., , , and . Pattern Recognit., 37 (12): 2293-2305 (2004)