Majority-Class Aware Support Vector Domain Oversampling for Imbalanced Classification Problems. - Markus Kächele; Patrick Thiam; Günther Palm; Friedhelm Schwenker (ANNPR, 2014)

A Reinforcement Learning Algorithm to Train a Tetris Playing Agent. - Patrick Thiam; Viktor Kessler; Friedhelm Schwenker (ANNPR, 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)

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)

Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity. - Markus Kächele; Patrick Thiam; Mohammadreza Amirian; Philipp Werner; Steffen Walter 001; Friedhelm Schwenker; Günther Palm (EANN, 2015)

Ensemble Methods for Continuous Affect Recognition: Multi-modality, Temporality, and Challenges. - Markus Kächele; Patrick Thiam; Günther Palm; Friedhelm Schwenker; Martin Schels (AVEC@ACM Multimedia, 2015)

Fusion Mappings for Multimodal Affect Recognition. - Markus Kächele; Martin Schels; Patrick Thiam; Friedhelm Schwenker (SSCI, 2015)

Ensembles of Support Vector Data Description for Active Learning Based Annotation of Affective Corpora. - Patrick Thiam; Markus Kächele; Friedhelm Schwenker; Guenther Palm (SSCI, 2015)

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

Continuous Multimodal Human Affect Estimation using Echo State Networks. - Mohammadreza Amirian; Markus Kächele; Patrick Thiam; Viktor Kessler; Friedhelm Schwenker (AVEC@ACM Multimedia, 2016)

Audio-Visual Recognition of Pain Intensity. - Patrick Thiam; Viktor Kessler; Steffen Walter 001; Günther Palm; 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)

Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels. - Markus Kächele; Patrick Thiam; Mohammadreza Amirian; Friedhelm Schwenker; Günther Palm (IEEE J. Sel. Top. Signal Process., 2016)

Multimodal fusion including camera photoplethysmography for pain recognition. - Viktor Kessler; Patrick Thiam; Mohammadreza Amirian; Friedhelm Schwenker (ICCT, 2017)

Hierarchical Combination of Video Features for Personalised Pain Level Recognition. - Patrick Thiam; Viktor Kessler; Friedhelm Schwenker (ESANN, 2017)

Pain recognition with camera photoplethysmography. - Viktor Kessler; Patrick Thiam; Mohammadreza Amirian; Friedhelm Schwenker (IPTA, 2017)

Multi-modal data fusion for pain intensity assessment and classification. - Patrick Thiam; Friedhelm Schwenker (IPTA, 2017)

Adaptive confidence learning for the personalization of pain intensity estimation systems. - Markus Kächele; Mohammadreza Amirian; Patrick Thiam; Philipp Werner; Steffen Walter 001; Günther Palm; Friedhelm Schwenker (Evol. Syst., 2017)

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)

A k -Nearest Neighbor Based Algorithm for Multi-Instance Multi-Label Active Learning. - Adrián T. Ruiz; Patrick Thiam; Friedhelm Schwenker; Günther Palm (ANNPR, 2018)

Visualizing Facial Expression Features of Pain and Emotion Data. - Jan Sellner; Patrick Thiam; Friedhelm Schwenker (MPRSS, 2018)

Combining Deep and Hand-Crafted Features for Audio-Based Pain Intensity Classification. - Patrick Thiam; 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)

Using a Quartile-based Data Transformation for Pain Intensity Classification based on the SenseEmotion Database. - Peter Bellmann; Patrick Thiam; Friedhelm Schwenker (ACII Workshops, 2019)

Deep Domain Adaptation for Facial Expression Analysis. - Nikolai Kalischek; Patrick Thiam; Peter Bellmann; Friedhelm Schwenker (ACII Workshops, 2019)

Exploring Deep Physiological Models for Nociceptive Pain Recognition. - Patrick Thiam; Peter Bellmann; Hans A. Kestler; Friedhelm Schwenker (Sensors, 2019)

Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario. - Peter Bellmann; Patrick Thiam; Friedhelm Schwenker (ANNPR, 2020)

Automatic Pain Intensity Recognition: Training Set Selection based on Outliers and Centroids. - Peter Bellmann; Patrick Thiam; Friedhelm Schwenker (ESANN, 2020)

Using Meta Labels for the Training of Weighting Models in a Sample-Specific Late Fusion Classification Architecture. - Peter Bellmann; Patrick Thiam; Friedhelm Schwenker (ICPR, 2020)

Person Identification based on Physiological Signals: Conditions and Risks. - Peter Bellmann; Patrick Thiam; Friedhelm Schwenker (ICPRAM, 2020)

Subject-independent Pain Recognition using Physiological Signals and Para-linguistic Vocalizations. - Nadeen Shoukry; Omar Elkilany; Patrick Thiam; Viktor Kessler; Friedhelm Schwenker (ICPRAM, 2020)

Multimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signals. - Patrick Thiam; Hans A. Kestler; Friedhelm Schwenker (ICPRAM, 2020)

Dominant Channel Fusion Architectures - An Intelligent Late Fusion Approach. - Peter Bellmann; Patrick Thiam; Friedhelm Schwenker (IJCNN, 2020)

Two-Stream Attention Network for Pain Recognition from Video Sequences. - Patrick Thiam; Hans A. Kestler; Friedhelm Schwenker (Sensors, 2020)

Perspective on mHealth Concepts to Ensure Users' Empowerment-From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment. - Julian D. Schwab; Johannes Schobel; Silke D. Werle; Axel Fürstberger; Nensi Ikonomi; Robin Szekely; Patrick Thiam; Rolf Hühne; Niels Jahn; Rainer Schuler; Peter Kuhn; Martin Holderried; et al. (IEEE Access, 2021)

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database. - Patrick Thiam; Viktor Kessler; Mohammadreza Amirian; Peter Bellmann; Georg Layher; Yan Zhang 054; Maria Velana; Sascha Gruss; Steffen Walter 001; Harald C. Traue; Daniel Schork; Jonghwa Kim 001; et al. (IEEE Trans. Affect. Comput., 2021)

Information fusion mechanisms for multi-modal affect recognition. - Patrick Thiam (2021)

Deep Learning Architectures for Pain Recognition Based on Physiological Signals. - Patrick Thiam; Hans A. Kestler; Friedhelm Schwenker (ICPR Workshops (1), 2022)

Machine Learning-Based Pain Intensity Estimation: Where Pattern Recognition Meets Chaos Theory - An Example Based on the BioVid Heat Pain Database. - Peter Bellmann; Patrick Thiam; Hans A. Kestler; Friedhelm Schwenker (IEEE Access, 2022)

Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images. - Patrick Thiam; Ludwig Lausser; Christopher Kloth; Daniel Blaich; Andreas Liebold; Meinrad Beer; Hans A. Kestler (Frontiers Artif. Intell., 2023)

Data Set for Enhanced Performance Prediction of ATL Model Transformations. - Raffaela Groner; Peter Bellmann; Stefan Höppner; Patrick Thiam; Friedhelm Schwenker; Hans A. Kestler; Matthias Tichy (Zenodo, 2023)

Data Set for Enhanced Performance Prediction of ATL Model Transformations. - Raffaela Groner; Peter Bellmann; Stefan Höppner; Patrick Thiam; Friedhelm Schwenker; Matthias Tichy (Zenodo, 2023)

Data Set for Predicting the Performance of ATL Model Transformations Based on Generated Models. - Raffaela Groner; Peter Bellmann; Stefan Höppner; Patrick Thiam; Friedhelm Schwenker; Hans A. Kestler; Matthias Tichy (Zenodo, 2023)

Predicting the Performance of ATL Model Transformations. - Raffaela Groner; Peter Bellmann; Stefan Höppner; Patrick Thiam; Friedhelm Schwenker; Matthias Tichy (Software Engineering, 2024)

Enhanced performance prediction of ATL model transformations. - Raffaela Groner; Peter Bellmann; Stefan Höppner; Patrick Thiam; Friedhelm Schwenker; Hans A. Kestler; Matthias Tichy (Perform. Evaluation, 2024)