Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion. - Stefan Scherer; Ingo Siegert; Lutz Bigalke; Sascha Meudt (LREC, 2010)

On Instance Selection in Audio Based Emotion Recognition. - Sascha Meudt; Friedhelm Schwenker (ANNPR, 2012)

Atlas - Annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios. - Sascha Meudt; Lutz Bigalke; Friedhelm Schwenker (ISSPA, 2012)

Multi-view video based tracking and audio-visual identification of persons in a human-computer-interaction scenario. - Sascha Meudt; Michael Glodek; Martin Schels; Friedhelm Schwenker (CYBCONF, 2013)

Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech. - Sascha Meudt; Dimitri Zharkov; Markus Kächele; Friedhelm Schwenker (ICMI, 2013)

A New Multi-class Fuzzy Support Vector Machine Algorithm. - Friedhelm Schwenker; Markus Frey; Michael Glodek; Markus Kächele; Sascha Meudt; Martin Schels; Miriam Schmidt (ANNPR, 2014)

Enhanced Autocorrelation in Real World Emotion Recognition. - Sascha Meudt; Friedhelm Schwenker (ICMI, 2014)

Detection of Emotional Events utilizing Support Vector Methods in an Active Learning HCI Scenario. - Patrick Thiam; Sascha Meudt; Markus Kächele; Günther Palm; Friedhelm Schwenker (ERM4HCI@ICMI, 2014)

Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition. - Markus Kächele; Dimitri Zharkov; Sascha Meudt; Friedhelm Schwenker (ICPR, 2014)

Fusion of Audio-visual Features using Hierarchical Classifier Systems for the Recognition of Affective States and the State of Depression. - Markus Kächele; Michael Glodek; Dimitri Zharkov; Sascha Meudt; Friedhelm Schwenker (ICPRAM, 2014)

On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction. - Markus Kächele; Martin Schels; Sascha Meudt; Viktor Kessler; Michael Glodek; Patrick Thiam; Stephan Tschechne; Günther Palm; Friedhelm Schwenker (MA3HMI@INTERSPEECH, 2014)

Audio-Visual User Identification in HCI Scenarios. - Markus Kächele; Sascha Meudt; Andrej Schwarz; Friedhelm Schwenker (MPRSS, 2014)

ATLAS - Machine learning based annnotation of multimodal data recorded in human-computer interaction scenarios. - Sascha Meudt; Friedhelm Schwenker (ISCT, 2015)

On Gestures and Postural Behavior as a Modality in Ensemble Methods. - Heinke Hihn; Sascha Meudt; Friedhelm Schwenker (ANNPR, 2016)

Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain. - Viktor Kessler; Markus Kächele; Sascha Meudt; Friedhelm Schwenker; Günther Palm (ANNPR, 2016)

Active Learning for Speech Event Detection in HCI. - Patrick Thiam; Sascha Meudt; Friedhelm Schwenker; Günther Palm (ANNPR, 2016)

Inferring mental overload based on postural behavior and gestures. - Heinke Hihn; Sascha Meudt; Friedhelm Schwenker (ERM4CT@ICMI, 2016)

Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes. - Dennis Held; Sascha Meudt; Friedhelm Schwenker (MPRSS, 2016)

Fusion Architectures for Multimodal Cognitive Load Recognition. - Daniel Kindsvater; Sascha Meudt; Friedhelm Schwenker (MPRSS, 2016)

The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System. - Maria Velana; Sascha Gruss; Georg Layher; Patrick Thiam; Yan Zhang 054; Daniel Schork; Viktor Kessler; Sascha Meudt; Heiko Neumann; Jonghwa Kim 001; Friedhelm Schwenker; Elisabeth André; et al. (MPRSS, 2016)

Revisiting the EmotiW challenge: how wild is it really? - Markus Kächele; Martin Schels; Sascha Meudt; Günther Palm; Friedhelm Schwenker (J. Multimodal User Interfaces, 2016)

Going Further in Affective Computing: How Emotion Recognition Can Improve Adaptive User Interaction. - Sascha Meudt; Miriam Schmidt-Wack; Frank Honold; Felix Schüssel; Michael Weber 001; Friedhelm Schwenker; Günther Palm (Toward Robotic Socially Believable Behaving Systems (I), 2016)

Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems. - Friedhelm Schwenker; Ronald Böck; Martin Schels; Sascha Meudt; Ingo Siegert; Michael Glodek; Markus Kächele; Miriam Schmidt-Wack; Patrick Thiam; Andreas Wendemuth; Gerald Krell (Companion Technology, 2017)

Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System. - Ingo Siegert; Felix Schüssel; Miriam Schmidt; Stephan Reuter; Sascha Meudt; Georg Layher; Gerald Krell; Thilo Hörnle; Sebastian Handrich; Ayoub Al-Hamadi; Klaus Dietmayer; Heiko Neumann; et al. (Companion Technology, 2017)

Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers. - Venkatesh Srinivasan; Sascha Meudt; Friedhelm Schwenker (MPRSS, 2018)

A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection. - Patrick Thiam; Sascha Meudt; Günther Palm; Friedhelm Schwenker (Neural Process. Lett., 2018)

Maschinelle Emotionserkennung in der Mensch-Maschine Interaktion. - Sascha Meudt (2019)

The uulmMAC Database - A Multimodal Affective Corpus for Affective Computing in Human-Computer Interaction. - Dilana Hazer-Rau; Sascha Meudt; Andreas Daucher; Jennifer Spohrs; Holger Hoffmann; Friedhelm Schwenker; Harald C. Traue (Sensors, 2020)