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Ensemble Gaussian mixture models for probability density estimation

Computational statistics, 2013-02, Vol.28 (1), p.127-138

2013

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Fusion paradigms in cognitive technical systems for human–computer interaction

Neurocomputing (Amsterdam), 2015-08, Vol.161, p.17-37

2015

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Learning in layered multimodal classifier architectures for cognitive technical systems

Glodek, Michael

2016

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Combination of sequential class distributions from multiple channels using Markov fusion networks

Journal on multimodal user interfaces, 2014-09, Vol.8 (3), p.257-272

2014

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Using unlabeled data to improve classification of emotional states in human computer interaction

Journal on multimodal user interfaces, 2014-03, Vol.8 (1), p.5-16

2014

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Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data

ACM transactions on interactive intelligent systems, 2012-03, Vol.2 (1), p.1-31

2012

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A generic framework for the inference of user states in human computer interaction: How patterns of low level behavioral cues support complex user states in HCI

Journal on multimodal user interfaces, 2012-11, Vol.6 (3-4), p.117-141

2012

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A layered architecture for probabilistic complex pattern recognition to detect user preferences

Biologically inspired cognitive architectures, 2014-07, Vol.9, p.46-56

2014

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On the discovery of events in EEG data utilizing information fusion

Computational statistics, 2013-02, Vol.28 (1), p.5-18

2013

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Multiple Classifier Systems for the Classification of Audio-Visual Emotional States

Affective Computing and Intelligent Interaction, 2011, p.359-368

2011

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Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks

Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 2012, p.1084-1087

2012

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Multiple Classifier Systems for the Recogonition of Human Emotions

Multiple Classifier Systems, 2010, p.315-324

2010

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uulmMAD – A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2015, p.77-91

2015

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Kalman Filter Based Classifier Fusion for Affective State Recognition

Multiple Classifier Systems, 2013, Vol.7872, p.85-94

2013

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On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction

Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction, 2015, p.35-44

2015

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Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition

Machine Learning and Data Mining in Pattern Recognition, 2012, p.394-404

2012

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Multimodal Emotion Classification in Naturalistic User Behavior

Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments, 2011, p.603-611

2011

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Fusion of Fragmentary Classifier Decisions for Affective State Recognition

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2013, p.116-130

2013

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A New Multi-class Fuzzy Support Vector Machine Algorithm

Artificial Neural Networks in Pattern Recognition, 2014, p.153-164

2014

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Recognizing Human Activities Using a Layered Markov Architecture

Artificial Neural Networks and Machine Learning – ICANN 2012, 2012, p.677-684

2012

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Analysis of Articulated Motion for Social Signal Processing

Companion Technology, 2017, p.345-364

2017

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Multiple classifier combination using reject options and markov fusion networks

Proceedings of the 14th ACM international conference on Multimodal interaction, 2012, p.465-472

2012

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Hidden Markov models with graph densities for action recognition

The 2013 International Joint Conference on Neural Networks (IJCNN), 2013, p.1-6

2013

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Incorporating uncertainty in a layered HMM architecture for human activity recognition

Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding, 2011, p.33-34

2011

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Recognizing User Preferences Based on Layered Activity Recognition and First-Order Logic

2013 IEEE 25th International Conference on Tools with Artificial Intelligence, 2013, p.648-653

2013

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Ensemble Gaussian mixture models for probability density estimation

Fusion paradigms in cognitive technical systems for human–computer interaction

Learning in layered multimodal classifier architectures for cognitive technical systems

Combination of sequential class distributions from multiple channels using Markov fusion networks

Using unlabeled data to improve classification of emotional states in human computer interaction

Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data

A generic framework for the inference of user states in human computer interaction: How patterns of low level behavioral cues support complex user states in HCI

A layered architecture for probabilistic complex pattern recognition to detect user preferences

On the discovery of events in EEG data utilizing information fusion

Multiple Classifier Systems for the Classification of Audio-Visual Emotional States

Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks

Multiple Classifier Systems for the Recogonition of Human Emotions

uulmMAD – A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances

Kalman Filter Based Classifier Fusion for Affective State Recognition

On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction

Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition

Multimodal Emotion Classification in Naturalistic User Behavior

Fusion of Fragmentary Classifier Decisions for Affective State Recognition

A New Multi-class Fuzzy Support Vector Machine Algorithm

Recognizing Human Activities Using a Layered Markov Architecture

Analysis of Articulated Motion for Social Signal Processing

Multiple classifier combination using reject options and markov fusion networks

Hidden Markov models with graph densities for action recognition

Incorporating uncertainty in a layered HMM architecture for human activity recognition

Recognizing User Preferences Based on Layered Activity Recognition and First-Order Logic

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