Peter Bellmann

PhD thesis, 2024

Enhanced performance prediction of ATL model transformations.

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[DOI]

Perform. Evaluation, 2024

Predicting the Performance of ATL Model Transformations.

[BibT_eX]

[DOI]

Proceedings of the Software Engineering 2024, Fachtagung des GI-Fachbereichs Softwaretechnik, Linz, Austria, February 26, 2024

2023

Data Set for Enhanced Performance Prediction of ATL Model Transformations.

[BibT_eX]

[DOI]

Dataset, September, 2023

Data Set for Enhanced Performance Prediction of ATL Model Transformations.

[BibT_eX]

[DOI]

Dataset, September, 2023

Pain Detection in Biophysiological Signals: Knowledge Transfer from Short-Term to Long-Term Stimuli Based on Distance-Specific Segment Selection.

[BibT_eX]

[DOI]

Comput., April, 2023

Pain Recognition Differences between Female and Male Subjects: An Analysis based on the Physiological Signals of the X-ITE Pain Database.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Multimodal Interaction, 2023

2022

Machine Learning-Based Pain Intensity Estimation: Where Pattern Recognition Meets Chaos Theory - An Example Based on the BioVid Heat Pain Database.

[BibT_eX]

[DOI]

IEEE Access, 2022

Pain Detection in Biophysiological Signals: Transfer Learning from Short-Term to Long-Term Stimuli Based on Signal Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2021

Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

Ordinal Classification: Working Definition and Detection of Ordinal Structures.

[BibT_eX]

[DOI]

IEEE Access, 2020

Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Automated Pain Assessment: Is it Useful to Combine Person-Specific Data Samples?

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Dominant Channel Fusion Architectures - An Intelligent Late Fusion Approach.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Person Identification based on Physiological Signals: Conditions and Risks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Using Meta Labels for the Training of Weighting Models in a Sample-Specific Late Fusion Classification Architecture.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Automatic Pain Intensity Recognition: Training Set Selection based on Outliers and Centroids.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Feature Extraction: A Time Window Analysis Based on the X-ITE Pain Database.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

2019

Exploring Deep Physiological Models for Nociceptive Pain Recognition.

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[DOI]

Sensors, 2019

Deep Domain Adaptation for Facial Expression Analysis.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

Using a Quartile-based Data Transformation for Pain Intensity Classification based on the SenseEmotion Database.

[BibT_eX]

[DOI]