Intraindividual and interindividual multimodal emotion analyses in Human-Machine-Interaction R Bock, S Gluge, A Wendemuth, K Limbrecht, S Walter, D Hrabal, ... Cognitive Methods in Situation Awareness and Decision Support (CogSIMA …, 2012 | 26 | 2012 |
Bias, awareness, and ignorance in deep-learning-based face recognition S Wehrli, C Hertweck, M Amirian, S Glüge, T Stadelmann AI and Ethics 2 (3), 509-522, 2022 | 24 | 2022 |
How (not) to measure bias in face recognition networks S Glüge, M Amirian, D Flumini, T Stadelmann Artificial Neural Networks in Pattern Recognition: 9th IAPR TC3 Workshop …, 2020 | 19 | 2020 |
Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error S Glüge, R Böck, G Palm, A Wendemuth Neurocomputing 141, 54-64, 2014 | 16 | 2014 |
A simple recurrent network for implicit learning of temporal sequences S Glüge, OH Hamid, A Wendemuth Cognitive Computation 2, 265-271, 2010 | 16 | 2010 |
Describing Human Emotions Through Mathematical Modelling K Hartmann, I Siegert, S Glüge, A Wendemuth, M Kotzyba, B Deml Proceedings of the MATHMOD, 15-17, 2012 | 14 | 2012 |
Annotation and classification of changes of involvement in group conversation R Böck, S Glüge, I Siegert, A Wendemuth 2013 Humaine Association Conference on Affective Computing and Intelligent …, 2013 | 12 | 2013 |
Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms N Juchler, S Schilling, S Glüge, P Bijlenga, D Rüfenacht, V Kurtcuoglu, ... Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2020 | 10 | 2020 |
Emotion recognition from speech using representation learning in extreme learning machines S Glüge, R Böck, T Ott 9th International Joint Conference on Computational Intelligence, Funchal …, 2017 | 10 | 2017 |
Auto-Encoder Pre-training of Seg-mented-Memory Recurrent Neural Networks S Gluge, R Back, A Wendemuth Prnc of the 21st Euro-pean Symposium on Artificial Neural Networks …, 2013 | 8 | 2013 |
SEGMENTED–MEMORY RECURRENT NEURAL NETWORKS VERSUS HIDDEN MARKOV MODELS IN EMOTION RECOGNITION FROM SPEECH S Glüge, R Böck, A Wendemuth International Conference on Neural Computation Theory and Applications 2 …, 2011 | 8 | 2011 |
Modelling of emotional development within human-computer-interaction I Siegert, K Hartmann, S Glüge, A Wendemuth Kognitive Systeme 2013 (1), 2013 | 7 | 2013 |
On network representations of antennas inside resonating environments F Gronwald, S Glüge, J Nitsch Advances in Radio Science 5, 157-162, 2007 | 6 | 2007 |
Explainable deep learning for medical time series data T Frick, S Glüge, A Rahimi, L Benini, T Brunschwiler Wireless Mobile Communication and Healthcare: 9th EAI International …, 2021 | 5 | 2021 |
The Challange of Clustering Flow Cytometry Data from Phytoplankton in Lakes S Glüge, F Pomati, C Albert, P Kauf, T Ott Nonlinear Dynamics of Electronic Systems: 22nd International Conference …, 2014 | 5 | 2014 |
Increase of skin temperature prior to parturition in mares A Müller, S Glüge, B Vidondo, A Wróbel, T Ott, H Sieme, D Burger Theriogenology 190, 46-51, 2022 | 4 | 2022 |
Combining mimic and prosodic analyses for user disposition classification R Böck, K Limbrecht, I Siegert, S Glüge, S Walter, A Wendemuth Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung …, 2012 | 4 | 2012 |
IMPLICIT SEQUENCE LEARNING-A Case Study with a 4–2–4 Encoder Simple Recurrent Network S Glüge, R Böck, A Wendemuth International Conference on Neural Computation 2, 279-288, 2010 | 4 | 2010 |
Dempster-Shafer theory with smoothness R Böck, S Glüge, A Wendemuth International Symposium on Integrated Uncertainty in Knowledge Modelling and …, 2013 | 3 | 2013 |
Extension of backpropagation through time for segmented-memory recurrent neural networks S Glüge, R Böck, A Wendemuth International Conference on Neural Computation Theory and Applications 2 …, 2012 | 3 | 2012 |