Patrick Thiam

发表

Digitalization of adverse event management in oncology to improve treatment outcome—A prospective study protocol

Silke D. Kühlwein, Angelika M. R. Kestler, H. Kestler, 2021, PloS one.

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

H. Kestler, F. Schwenker, Peter Bellmann, 2022, IEEE Access.

Majority-Class Aware Support Vector Domain Oversampling for Imbalanced Classification Problems

Patrick Thiam, Markus Kächele, Günther Palm, 2014, ANNPR.

Machine learning algorithms for the automated classification of contaminated maize at regulatory limits via infrared attenuated total reflection spectroscopy

R. Krska, B. Mizaikoff, F. Schwenker, 2019, World Mycotoxin Journal.

A Reinforcement Learning Algorithm to Train a Tetris Playing Agent

Patrick Thiam, Friedhelm Schwenker, Viktor Kessler, 2014, ANNPR.

Deep Domain Adaptation for Facial Expression Analysis

Patrick Thiam, Friedhelm Schwenker, Peter Bellmann, 2019, 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective

Daniel A. Braun, D. Braun, H. Kestler, 2021, Frontiers in Physiology.

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

Patrick Thiam, Friedhelm Schwenker, Elisabeth André, 2019, IEEE Transactions on Affective Computing.

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

Patrick Thiam, Friedhelm Schwenker, Peter Bellmann, 2020, ANNPR.

The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System

Patrick Thiam, Sascha Meudt, Friedhelm Schwenker, 2016, MPRSS.

Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels

Patrick Thiam, Markus Kächele, Günther Palm, 2016, IEEE Journal of Selected Topics in Signal Processing.

Multimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signals

Patrick Thiam, Friedhelm Schwenker, Hans A. Kestler, 2020, ICPRAM.

Exploring Deep Physiological Models for Nociceptive Pain Recognition

Patrick Thiam, Friedhelm Schwenker, Peter Bellmann, 2019, bioRxiv.

Adaptive confidence learning for the personalization of pain intensity estimation systems

Patrick Thiam, Markus Kächele, Günther Palm, 2017, Evol. Syst..

Predicting the Performance of ATL Model Transformations

Raffaela Groner, F. Schwenker, Peter Bellmann, 2023, ICPE.

Multi-classifier-Systems: Architectures, Algorithms and Applications

Patrick Thiam, Friedhelm Schwenker, Peter Bellmann, 2018 .

Two-Stream Attention Network for Pain Recognition from Video Sequences

Patrick Thiam, Friedhelm Schwenker, Hans A. Kestler, 2020, Sensors.

Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity

Patrick Thiam, Markus Kächele, Günther Palm, 2015, EANN.

A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection

G. Palm, F. Schwenker, S. Meudt, 2018, Neural Processing Letters.

Multi-modal data fusion for pain intensity assessment and classification

Patrick Thiam, Friedhelm Schwenker, F. Schwenker, 2017, 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA).

Adaptive confidence learning for the personalization of pain intensity estimation systems

P. Werner, Steffen Walter, F. Schwenker, 2016, Evolving Systems.

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

Patrick Thiam, Sascha Meudt, Markus Kächele, 2014, MA3HMI@INTERSPEECH.

Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images

H. Kestler, L. Lausser, C. Kloth, 2023, Frontiers in Artificial Intelligence.

Perspective on mHealth Concepts to Ensure Users’ Empowerment–From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment

Angelika M. R. Kestler, Silke D. Werle, H. Kestler, 2021, IEEE Access.

Person Identification based on Physiological Signals: Conditions and Risks

Patrick Thiam, Friedhelm Schwenker, Peter Bellmann, 2020, ICPRAM.

Fusion Mappings for Multimodal Affect Recognition

Patrick Thiam, Markus Kächele, Friedhelm Schwenker, 2015, 2015 IEEE Symposium Series on Computational Intelligence.