| 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 6975, 359-368, 2011 | 124 | 2011 |
| Multimodal emotion classification in naturalistic user behavior S Walter, S Scherer, M Schels, M Glodek, D Hrabal, M Schmidt, R Böck, ... Human-Computer Interaction. Towards Mobile and Intelligent Interaction …, 2011 | 75 | 2011 |
| Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data S Scherer, M Glodek, F Schwenker, N Campbell, G Palm ACM Transactions on Interactive Intelligent Systems (TiiS) 2 (1), 4:1--4:31, 2012 | 59 | 2012 |
| 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 depression 1 (1), 671-678, 2014 | 54 | 2014 |
| A generic framework for the inference of user states in human computer interaction S Scherer, M Glodek, G Layher, M Schels, M Schmidt, T Brosch, ... Journal on Multimodal User Interfaces 6 (3--4), 117--141, 2012 | 52 | 2012 |
| Fusion paradigms in cognitive technical systems for human–computer interaction M Glodek, F Honold, T Geier, G Krell, F Nothdurft, S Reuter, F Schüssel, ... Neurocomputing 161, 17-37, 2015 | 43 | 2015 |
| Kalman Filter Based Classifier Fusion for Affective State Recognition M Glodek, S Reuter, M Schels, K Dietmayer, F Schwenker Multiple Classifier Systems 7872, 85-94, 2013 | 34 | 2013 |
| 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 | 31 | 2014 |
| Multiple classifier systems for the recogonition of human emotions F Schwenker, S Scherer, M Schmidt, M Schels, M Glodek Multiple Classifier Systems 5997, 315-324, 2010 | 28 | 2010 |
| Multi-Modal Classifier-Fusion for the Recognition of Emotions M Schels, M Glodek, S Meudt, S Scherer, M Schmidt, G Layher, ... | 26 | 2013 |
| Conditioned hidden Markov model fusion for multimodal classification M Glodek, S Scherer, F Schwenker Twelfth Annual Conference of the International Speech Communication …, 2011 | 26 | 2011 |
| Towards emotion recognition in human computer interaction G Palm, M Glodek Neural Nets and Surroundings 19, 323-336, 2013 | 25 | 2013 |
| A framework for studying human multimodal communication J Allwood Coverbal synchrony in human-machine interaction 17, 2013 | 22 | 2013 |
| Fusion of Fragmentary Classifier Decisions for Affective State Recognition G Krell, M Glodek, A Panning, I Siegert, B Michaelis, A Wendemuth, ... Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2013 | 22 | 2013 |
| Ensemble Gaussian mixture models for probability density estimation M Glodek, M Schels, F Schwenker Computational Statistics 28 (1), 127--138, 2012 | 22 | 2012 |
| Incorporating uncertainty in a layered HMM architecture for human activity recognition M Glodek, L Bigalke, M Schels, F Schwenker Proceedings of the 2011 joint ACM workshop on Human gesture and behavior …, 2011 | 18 | 2011 |
| Multi-modal classifier-fusion for the classification of emotional states in woz scenarios M Schels, M Glodek, S Meudt, M Schmidt, D Hrabal, R Boeck, S Walter, ... Advances in affective and pleasurable design, 644-653, 2013 | 17 | 2013 |
| Multi-modal fusion based on classifiers using reject options and Markov fusion network M Glodek, M Schels, G Palm, F Schwenker Pattern Recognition (ICPR), 2012 21st International Conference on, 1084-1087, 2012 | 17 | 2012 |
| Multi-modal fusion based on classifiers using reject options and Markov fusion networks M Glodek, M Schels, G Palm, F Schwenker Pattern Recognition (ICPR), 2012 21st International Conference on, 1084-1087, 2012 | 17 | 2012 |
| On the discovery of events in EEG data utilizing information fusion M Schels, S Scherer, M Glodek, HA Kestler, G Palm, F Schwenker Computational Statistics 28 (1), 5-18, 2011 | 17 | 2011 |
Friedhelm SchwenkerUlm University, Institute of Neural Information ProcessingAdresse e-mail validée de uni-ulm.de
