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Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems.

, , , , , , , , , и 1 other автор(ы). Companion Technology, Springer, (2017)

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Friedhelm Schwenker

Marco Schwenker

Gustav Schwenker

Otto Schwenker

Otto Schwenker

 

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Dominant Channel Fusion Architectures - An Intelligent Late Fusion Approach., , и . IJCNN, стр. 1-8. IEEE, (2020)Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity., , , , , , и . EANN, том 517 из Communications in Computer and Information Science, стр. 275-285. Springer, (2015)ATLAS - Machine learning based annnotation of multimodal data recorded in human-computer interaction scenarios., и . ISCT, стр. 181-186. Ulm University, (2015)Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain Intensity., , , , , и . MPRSS, том 11377 из Lecture Notes in Computer Science, стр. 84-100. Springer, (2018)Person Identification based on Physiological Signals: Conditions and Risks., , и . ICPRAM, стр. 373-380. SCITEPRESS, (2020)Classification of Bioacoustic Time Series by Training a Decision Fusion mapping.. ESANN, стр. 555-560. (2004)Echo State networks and Neural network Ensembles to predict Sunspots activity., и . ESANN, (2009)Automatic Pain Intensity Recognition: Training Set Selection based on Outliers and Centroids., , и . ESANN, стр. 649-654. (2020)Fuzzy-Based Pseudo Segmentation Approach for Handwritten Word Recognition Using a Sequence to Sequence Model with Attention., , , и . ICPR Workshops (2), том 12662 из Lecture Notes in Computer Science, стр. 582-596. Springer, (2020)Using Meta Labels for the Training of Weighting Models in a Sample-Specific Late Fusion Classification Architecture., , и . ICPR, стр. 2604-2611. IEEE, (2020)