Friedhelm Schwenker

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

Selective neural network ensembles in reinforcement learning: Taking the advantage of many agents

Friedhelm Schwenker, Stefan Faußer, 2015, Neurocomputing.

Solving Multi-class Pattern Recognition Problems with Tree-Structured Support Vector Machines

Friedhelm Schwenker, F. Schwenker, 2001, DAGM-Symposium.

Decision templates for the classification of bioacoustic time series

Günther Palm, Friedhelm Schwenker, Christian Dietrich, 2003, Inf. Fusion.

Automated Identification Method for Detection and Classification of Neotropical Bats

Günther Palm, Friedhelm Schwenker, Kirsten Jung, 2017 .

A Multiple Classifier System Approach for Facial Expressions in Image Sequences Utilizing GMM Supervectors

Friedhelm Schwenker, Martin Schels, F. Schwenker, 2010, 2010 20th International Conference on Pattern Recognition.

Semi‐Supervised Clustering in Functional Genomics

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2009 .

Preface of pattern recognition in human computer interaction

Friedhelm Schwenker, Louis-Philippe Morency, Stefan Scherer, 2015, Pattern Recognit. Lett..

Maximum Echo-State-Likelihood Networks for Emotion Recognition

Friedhelm Schwenker, Stefan Scherer, Edmondo Trentin, 2010, ANNPR.

Partially Supervised Learning

Friedhelm Schwenker, Edmondo Trentin, E. Trentin, 2011, Lecture Notes in Computer Science.

Algorithms for the visualization of large and multivariate data sets

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2001 .

Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition

Friedhelm Schwenker, Nadia Mana, Edmondo Trentin, 2012 .

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

Günther Palm, Friedhelm Schwenker, Nick Campbell, 2012, TIIS.

Multimodal fusion including camera photoplethysmography for pain recognition

Patrick Thiam, Friedhelm Schwenker, Mohammadreza Amirian, 2017, 2017 International Conference on Companion Technology (ICCT).

An Algorithm for Adaptive Clustering and Visualisation of Highdimensional Data Sets

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2000, Computational Intelligence in Data Mining.

Multimodal Laughter Detection in Natural Discourses

Günther Palm, Friedhelm Schwenker, Nick Campbell, 2009, Human Centered Robot Systems, Cognition, Interaction, Technology.

3-D visual object classification with hierarchical radial basis function networks

Friedhelm Schwenker, Hans A. Kestler, H. Kestler, 2001 .

Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts

Friedhelm Schwenker, Stefan Faußer, 2010, 2010 20th International Conference on Pattern Recognition.

Clustering large datasets with kernel methods

Friedhelm Schwenker, Stefan Faußer, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals

Markus Kächele, Friedhelm Schwenker, Mohammadreza Amirian, 2016, ANNPR.

A Hidden Markov Model Based Approach for Facial Expression Recognition in Image Sequences

Friedhelm Schwenker, Martin Schels, Miriam Schmidt, 2010, ANNPR.

Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition

Sascha Meudt, Markus Kächele, Friedhelm Schwenker, 2014, 2014 22nd International Conference on Pattern Recognition.

Fusion of Audio-visual Features using Hierarchical Classifier Systems for the Recognition of Affective States and the State of Depression

Sascha Meudt, Markus Kächele, Friedhelm Schwenker, 2014, ICPRAM.

Continuous Multimodal Human Affect Estimation using Echo State Networks

Patrick Thiam, Markus Kächele, Friedhelm Schwenker, 2016, AVEC@ACM Multimedia.

Fusion Architectures for Multimodal Cognitive Load Recognition

Sascha Meudt, Friedhelm Schwenker, Daniel Kindsvater, 2016, MPRSS.

Attention-Gated Reinforcement Learning in Neural Networks - A Unified View

Friedhelm Schwenker, Tobias Brosch, Heiko Neumann, 2013, ICANN.

Atlas - Annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios

Sascha Meudt, Friedhelm Schwenker, Lutz Bigalke, 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

Classification of Mammograms Using Texture and CNN Based Extracted Features

Friedhelm Schwenker, Mohammadreza Amirian, Dereje Yohannes, 2019, Journal of Biomimetics, Biomaterials and Biomedical Engineering.

A Hierarchical Neural Network Model for Pattern Recognition

Günther Palm, Friedhelm Schwenker, Steffen Simon, 1997 .

Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability

Friedhelm Schwenker, Mohammadreza Amirian, F. Schwenker, 2020, IEEE Access.

Tree-Structured Support Vector Machines for Multi-class Pattern Recognition

Günther Palm, Friedhelm Schwenker, G. Palm, 2001, Multiple Classifier Systems.

Exploring Deep Physiological Models for Nociceptive Pain Recognition

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

Survey of deep learning in breast cancer image analysis

Friedhelm Schwenker, Dereje Yohannes, Taye Girma Debelee, 2020, Evol. Syst..

Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System

Sascha Meudt, Günther Palm, Friedhelm Schwenker, 2017, Companion Technology.

A dataset of continuous affect annotations and physiological signals for emotion analysis

Friedhelm Schwenker, Claudio Castellini, Karan Sharma, 2018, Scientific Data.

On the discovery of events in EEG data utilizing information fusion

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2013, Comput. Stat..

On the Effects of Constraints in Semi-supervised Hierarchical Clustering

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2006, ANNPR.

Multi-classifier-Systems: Architectures, Algorithms and Applications

Patrick Thiam, Friedhelm Schwenker, Peter Bellmann, 2018 .

Concurrent Object Identification and Localization for a Mobile Robot

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2000, Künstliche Intell..

Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps

Friedhelm Schwenker, Mohammadreza Amirian, Thilo Stadelmann, 2018, ANNPR.

Ein hierarchischer neuronaler Klassifikator für die Erkennung von Einzelzeichen in mathematischen Formeltexten

Günther Palm, Friedhelm Schwenker, Steffen Simon, 1998, DAGM-Symposium.

Relating Simulation and Modeling of Neural Networks

Günther Palm, Friedhelm Schwenker, Delio Mugnolo, 2009 .

The Effect of Fuzzy Training Targets on Voice Quality Classification

Friedhelm Schwenker, John Kane, Christer Gobl, 2012, MPRSS.

Two to trust : AutoML for safe modelling and interpretable deep learning for robustness

Friedhelm Schwenker, Mohammadreza Amirian, Lukas Tuggener, 2020 .

Using speaker group dependent modelling to improve fusion of fragmentary classifier decisions

Friedhelm Schwenker, Ingo Siegert, Andreas Wendemuth, 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

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

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

Semi-supervised Learning

Friedhelm Schwenker, Mohamed Farouk Abdel Hady, F. Schwenker, 2013, Handbook on Neural Information Processing.

Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2003, Neurocomputing.

Analysis of support vectors helps to identify borderline patients in classification studies

Friedhelm Schwenker, Hans A. Kestler, 2002, Computers in Cardiology.

Data fusion for automated pain recognition

Markus Kächele, Friedhelm Schwenker, Ayoub Al-Hamadi, 2015, 2015 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth).

Echo State networks and Neural network Ensembles to predict Sunspots activity

Friedhelm Schwenker, Amr Labib, 2009, ESANN.

Incremental learning in hierarchical neural networks for object recognition

Günther Palm, Friedhelm Schwenker, Rebecca Fay, 2005, ICINCO.

Adaptive Clustering and Multidimensional Scaling of Large and Highdimensional Data Sets

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 1998 .

Multimodal real-time conversation analysis using a novel process engine

Friedhelm Schwenker, Stefan Scherer, Volker Fritzsch, 2009, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops.

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.

Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training

Günther Palm, Friedhelm Schwenker, Mohamed Farouk Abdel Hady, 2008, ICANN.

Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation

Markus Kächele, Günther Palm, Friedhelm Schwenker, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Artificial Neural Networks in Pattern Recognition

Friedhelm Schwenker, Ching Y. Suen, Neamat El Gayar, 2014, Lecture Notes in Computer Science.

Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion

Friedhelm Schwenker, Mohamed Farouk Abdel Hady, F. Schwenker, 2009, MCS.

Ensemble Methods for Reinforcement Learning with Function Approximation

Friedhelm Schwenker, Stefan Faußer, 2011, MCS.

Inferring Depression and Affect from Application Dependent Meta Knowledge

Markus Kächele, Friedhelm Schwenker, Martin Schels, 2014, AVEC '14.

Automatic emotion classification vs. human perception: Comparing machine performance to the human benchmark

Friedhelm Schwenker, Stefan Scherer, André Brechmann, 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

Three learning phases for radial-basis-function networks

Friedhelm Schwenker, Hans A. Kestler, GuÈnther Palm, 2001, Neural Networks.

The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech

Günther Palm, Friedhelm Schwenker, Stefan Scherer, 2009, ICANN.

Semi-Supervised Kernel Clustering with Sample-to-Cluster Weights

Friedhelm Schwenker, Stefan Faußer, 2011, PSL.

A New Multi-class Fuzzy Support Vector Machine Algorithm

Sascha Meudt, Markus Kächele, Friedhelm Schwenker, 2014, ANNPR.

Emotion Recognition from Speech

Günther Palm, Friedhelm Schwenker, Ingo Siegert, 2017, Companion Technology.

Sensor-Fusion in Neural Networks

Günther Palm, Friedhelm Schwenker, 2009 .

Kalman Filter Based Classifier Fusion for Affective State Recognition

Friedhelm Schwenker, Klaus C. J. Dietmayer, Stephan Reuter, 2013, MCS.

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Friedhelm Schwenker, Sefan Scherer, F. Schwenker, 2018, Lecture Notes in Computer Science.

Enhanced Autocorrelation in Real World Emotion Recognition

Sascha Meudt, Friedhelm Schwenker, F. Schwenker, 2014, ICMI.

Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012

Friedhelm Schwenker, Edmondo Trentin, Nadia Mana, 2012 .

A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling

Günther Palm, Friedhelm Schwenker, Markus Hagenbuchner, 1999, DAGM-Symposium.

Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain Intensity

Friedhelm Schwenker, Eugene Semenkin, Viktor Kessler, 2018, MPRSS.

Continuously Annotated Signals of Emotion

Friedhelm Schwenker, Alin Albu-Schaeffer, Egon L. van den Broek, 2019 .

Training of multiple classifier systems utilizing partially labelled sequences

Friedhelm Schwenker, Martin Schels, Patrick Schillinger, 2011 .

Adaptive confidence learning for the personalization of pain intensity estimation systems

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

Classification of Bioacoustic Time Series by Training a Decision Template Fusion Mapping

Friedhelm Schwenker, Christian Dietrich, Günther Palm, 2004 .

Artificial Neural Networks in Pattern Recognition: Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings (Lecture Notes in Computer Science)

Friedhelm Schwenker, Simone Marinai, 2006 .

Detection of Bat Acoustics Signals Using Voice Activity Detection Techniques with Random Forests Classification

Günther Palm, Friedhelm Schwenker, Adrián T. Ruiz, 2018, CIARP.

A functional data analysis approach for continuous 2-D emotion annotations

Friedhelm Schwenker, Egon L. van den Broek, Claudio Castellini, 2019, Web Intell..

Parallelized Kernel Patch Clustering

Friedhelm Schwenker, Stefan Faußer, 2010, ANNPR.

A novel segmentation technique for online handwritten Bangla words

Friedhelm Schwenker, Ram Sarkar, Kaushik Roy, 2020, Pattern Recognit. Lett..

Classification of Graph Sequences Utilizing the Eigenvalues of the Distance Matrices and Hidden Markov Models

Friedhelm Schwenker, Miriam Schmidt, 2011, GbRPR.

Associative Memory Networks and Sparse Similarity Preserving Codes

Günther Palm, Friedhelm Schwenker, Friedrich T. Sommer, 1994 .

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

Markus Kächele, Günther Palm, Friedhelm Schwenker, 2011, ACII.

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

Friedhelm Schwenker, Peter Bellmann, Tobias Ricken, 2020, ANNPR.

SMO Lattices for the Parallel Training of Support Vector Machines

Markus Kächele, Günther Palm, Friedhelm Schwenker, 2015, ESANN.

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

Friedhelm Schwenker, Michael Glodek, Susanne Biundo-Stephan, 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

Real-Time Emotion Recognition from Speech Using Echo State Networks

Günther Palm, Friedhelm Schwenker, Stefan Scherer, 2008, ANNPR.

Pattern classification and clustering: A review of partially supervised learning approaches

Friedhelm Schwenker, Edmondo Trentin, E. Trentin, 2014, Pattern Recognit. Lett..

Semi-supervised clustering of large data sets with kernel methods

Friedhelm Schwenker, Stefan Faußer, 2014, Pattern Recognit. Lett..

Inferring mental overload based on postural behavior and gestures

Sascha Meudt, Friedhelm Schwenker, Heinke Hihn, 2016, ERM4CT@ICMI.

Artificial Neural Networks in Pattern Recognition, 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010. Proceedings

Friedhelm Schwenker, Neamat El Gayar, 2010, ANNPR.

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

Patrick Thiam, Sascha Meudt, Günther Palm, 2017, Neural Processing Letters.

Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro-symbolic Integration

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 1999, KI.

Fusion Mappings for Multimodal Affect Recognition

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

Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes

Sascha Meudt, Friedhelm Schwenker, Dennis Held, 2016, MPRSS.

Studying Self- and Active-Training Methods for Multi-feature Set Emotion Recognition

Friedhelm Schwenker, Stefan Scherer, José Esparza, 2011, PSL.

Object classification with simple visual attention and a hierarchical neural network for subsymbolic-symbolic coupling

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 1999, Proceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation. CIRA'99 (Cat. No.99EX375).

Boosting Ensembles of Weak Classifiers in High Dimensional Input Spaces

Friedhelm Schwenker, Ludwig Lausser, Hans A. Kestler, 2009 .

Partially supervised learning for pattern recognition

Friedhelm Schwenker, Edmondo Trentin, E. Trentin, 2014, Pattern Recognit. Lett..

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

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

Bio-Visual Fusion for Person-Independent Recognition of Pain Intensity

Markus Kächele, Friedhelm Schwenker, Ayoub Al-Hamadi, 2015, MCS.

Emotion Recognition in Speech with Deep Learning Architectures

Markus Kächele, Friedhelm Schwenker, Mehmet Erdal, 2016, ANNPR.

Recognizing Human Activities Using a Layered Markov Architecture

Günther Palm, Friedhelm Schwenker, Michael Glodek, 2012, ICANN.

Neural Network Ensembles in Reinforcement Learning

Friedhelm Schwenker, Stefan Faußer, 2013, Neural Processing Letters.

When classifier selection meets information theory: A unifying view

Günther Palm, Friedhelm Schwenker, Mohamed Farouk Abdel Hady, 2010, 2010 International Conference of Soft Computing and Pattern Recognition.

Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain

Sascha Meudt, Markus Kächele, Günther Palm, 2016, ANNPR.

Partially Supervised Learning

Friedhelm Schwenker, Zhi-Hua Zhou, Zhi-Hua Zhou, 2013, Lecture Notes in Computer Science.

Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech

Sascha Meudt, Markus Kächele, Friedhelm Schwenker, 2013, ICMI '13.

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

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

Ensemble Gaussian mixture models for probability density estimation

Friedhelm Schwenker, Martin Schels, Michael Glodek, 2012, Computational Statistics.

Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers

Sascha Meudt, Friedhelm Schwenker, Venkatesh Srinivasan, 2018, MPRSS.

Combining Deep and Hand-Crafted Features for Audio-Based Pain Intensity Classification

Patrick Thiam, Friedhelm Schwenker, 2018, MPRSS.

Fuzzy-Input Fuzzy-Output One-Against-All Support Vector Machines

Friedhelm Schwenker, Stefan Scherer, Christian Thiel, 2007, KES.

Visualizing Facial Expression Features of Pain and Emotion Data

Patrick Thiam, Friedhelm Schwenker, Jan Sellner, 2018, MPRSS.

Co-training by Committee: A New Semi-supervised Learning Framework

Friedhelm Schwenker, Mohamed Farouk Abdel Hady, F. Schwenker, 2008, 2008 IEEE International Conference on Data Mining Workshops.

A Multi-objective Genetic Algorithm for Pruning Support Vector Machines

Friedhelm Schwenker, Michael Weber, Wesam Herbawi, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

Methoden zur Clusteranalyse und Visualisierung hochdimensionaler Datenmengen

Günther Palm, Friedhelm Schwenker, G. Palm, 1995, DAGM-Symposium.

Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 1999, AMS.

ATLAS - Machine learning based annnotation of multimodal data recorded in human-computer interaction scenarios

Sascha Meudt, Friedhelm Schwenker, 2015, ISCT.

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

Günther Palm, Friedhelm Schwenker, Martin Schels, 2014, Journal on Multimodal User Interfaces.

Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction

Günther Palm, Friedhelm Schwenker, Mohammadreza Amirian, 2017, ICT4DA.

Decision templates for the classification of bioacoustic time series

Günther Palm, Friedhelm Schwenker, Christian Dietrich, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Evolutionary optimization of a wavelet classifier for the categorization of beat-to-beat variability signals

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2000 .

Selective Neural Network Ensembles in Reinforcement Learning

Friedhelm Schwenker, Stefan Faußer, 2014, ESANN.

Dropout Induced Noise for Co-Creative GAN Systems

Friedhelm Schwenker, Sabine Wieluch, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Person Identification based on Physiological Signals: Conditions and Risks

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

Feature Selection for Recognition of Online Handwritten Bangla Characters

Friedhelm Schwenker, Ram Sarkar, Kaushik Roy, 2019, Neural Processing Letters.

Multiple Classifier Systems for the Recogonition of Human Emotions

Friedhelm Schwenker, Stefan Scherer, Martin Schels, 2010, MCS.

Comparison of Neural Classification Algorithms Applied to Land Cover Mapping

Günther Palm, Friedhelm Schwenker, Ferdinando Giacco, 2009, WIRN.

Pain recognition with camera photoplethysmography

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

Ensemble Methods: Foundations and Algorithms [Book Review]

Friedhelm Schwenker, F. Schwenker, 2013, IEEE Computational Intelligence Magazine.

Audio-Visual User Identification in HCI Scenarios

Sascha Meudt, Markus Kächele, Friedhelm Schwenker, 2014, MPRSS.

Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition

Friedhelm Schwenker, Neamat El Gayar, 2010 .

Multi-view forests based on Dempster-Shafer evidence theory: a new classifier ensemble method

Günther Palm, Friedhelm Schwenker, Mohamed Farouk Abdel Hady, 2008 .

Combining Committee-Based Semi-Supervised Learning and Active Learning

Friedhelm Schwenker, Mohamed Farouk Abdel Hady, F. Schwenker, 2010, Journal of Computer Science and Technology.

Multi-View Forests of Tree-Structured Radial Basis Function Networks Based on Dempster-Shafer Evidence Theory

Günther Palm, Friedhelm Schwenker, Mohamed Farouk Abdel Hady, 2008, ESANN.

Unsupervised and supervised learning in radial-basis-function networks

Friedhelm Schwenker, Hans A. Kestler, Güther Palm, 2001 .

Classifier Based Breast Cancer Segmentation

Friedhelm Schwenker, Dereje Yohannes, Taye Girma Debelee, 2020 .

Multiple Classifier Systems for the Recognition of Orthoptera Songs

Günther Palm, Friedhelm Schwenker, Christian Dietrich, 2003, DAGM-Symposium.

Automatic pectoral muscle removal in mammograms

Friedhelm Schwenker, Dereje Yohannes, Taye Girma Debelee, 2019, Evolving Systems.

Classification of Emotional States in a Woz Scenario Exploiting Labeled and Unlabeled Bio-physiological Data

Markus Kächele, Friedhelm Schwenker, Martin Schels, 2011, PSL.

Learning to play Tetris applying reinforcement learning methods

Friedhelm Schwenker, Alexander Groß, Jan Friedland, 2008, ESANN.

A Study of the Robustness of KNN Classifiers Trained Using Soft Labels

Günther Palm, Friedhelm Schwenker, Neamat El Gayar, 2006, ANNPR.

Classification of Time Series Utilizing Temporal and Decision Fusion

Günther Palm, Friedhelm Schwenker, Christian Dietrich, 2001, Multiple Classifier Systems.

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

Friedhelm Schwenker, Peter Bellmann, F. Schwenker, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Semi-supervised Learning for Regression with Co-training by Committee

Günther Palm, Friedhelm Schwenker, Mohamed Farouk Abdel Hady, 2009, ICANN.

Subject-independent Pain Recognition using Physiological Signals and Para-linguistic Vocalizations

Patrick Thiam, Friedhelm Schwenker, Viktor Kessler, 2020, ICPRAM.

Using Dempster-Shafer Theory in MCF Systems to Reject Samples

Günther Palm, Friedhelm Schwenker, Christian Thiel, 2005, Multiple Classifier Systems.

Radial-basis-function networks: learning and applications

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Friedhelm Schwenker, Louis-Philippe Morency, Stefan Scherer, 2014, Lecture Notes in Computer Science.

3D object recognition for autonomous mobile robots utilizing support vector classifiers

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2001, Proceedings 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Cat. No.01EX515).

Combining committee-based semi-supervised learning and active learning

Friedhelm Schwenker, Mohamed Farouk Abdel Hady, 2010 .

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

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

Learning Object Recognition in a NeuroBotic System

Friedhelm Schwenker, Ulrich Kaufmann, Rebecca Fay, 2004 .

Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs

Günther Palm, Friedhelm Schwenker, Martin Schels, 2010, ICANN.

Fusion Architectures for the Classification of Time Series

Günther Palm, Friedhelm Schwenker, Christian Dietrich, 2001, ICANN.

Multi-view video based tracking and audio-visual identification of persons in a human-computer-interaction scenario

Sascha Meudt, Friedhelm Schwenker, Martin Schels, 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

Multimodal Affect Classification Using Deep Neural Networks

Friedhelm Schwenker, F. Schwenker, 2018 .

Multiple classifier combination using reject options and markov fusion networks

Günther Palm, Friedhelm Schwenker, Martin Schels, 2012, ICMI '12.

Training of multiple classifier systems utilizing partially labeled sequential data sets

Friedhelm Schwenker, Martin Schels, Patrick Schillinger, 2011, ESANN.

Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition

Friedhelm Schwenker, Simone Marinai, Lionel Prevost, 2008 .

Conditioned Hidden Markov Model Fusion for Multimodal Classification

Friedhelm Schwenker, Stefan Scherer, Michael Glodek, 2011, INTERSPEECH.

Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings

Friedhelm Schwenker, Simone Marinai, 2006, ANNPR.

Filter Method Ensemble with Neural Networks

Friedhelm Schwenker, Ram Sarkar, Agneet Chatterjee, 2019, ICANN.

Ship classification based on trajectory data with machine-learning methods

Friedhelm Schwenker, Camilla Mohrdieck, Paul Kraus, 2018, 2018 19th International Radar Symposium (IRS).

Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition

Markus Kächele, Friedhelm Schwenker, F. Schwenker, 2013, PSL.

On Instance Selection in Audio Based Emotion Recognition

Sascha Meudt, Friedhelm Schwenker, F. Schwenker, 2012, ANNPR.

Iterative retrieval of sparsely coded associative memory patterns

Günther Palm, Friedhelm Schwenker, Friedrich T. Sommer, 1996, Neural Networks.

On Gestures and Postural Behavior as a Modality in Ensemble Methods

Sascha Meudt, Friedhelm Schwenker, Heinke Hihn, 2016, ANNPR.

Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four

Friedhelm Schwenker, Stefan Faußer, 2008, ANNPR.

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

Günther Palm, Friedhelm Schwenker, Martin Schels, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

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

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

Active Learning for Speech Event Detection in HCI

Patrick Thiam, Sascha Meudt, Günther Palm, 2016, ANNPR.

Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification

Friedhelm Schwenker, John Kane, Christer Gobl, 2013, Comput. Speech Lang..

Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools

Friedhelm Schwenker, Jasmin Dalferth, Sven Winkelmann, 2020, ANNPR.

The uulmMAC Database—A Multimodal Affective Corpus for Affective Computing in Human-Computer Interaction

Sascha Meudt, Friedhelm Schwenker, Holger Hoffmann, 2020, Sensors.

StrokeCoder: Path-Based Image Generation from Single Examples using Transformers pdf

Friedhelm Schwenker, Sabine Wieluch, 2020, ArXiv.

Detecting zebra crossings utilizing AdaBoost

Günther Palm, Friedhelm Schwenker, Ludwig Lausser, 2008, ESANN.

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.

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).

Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, ANNPR 2008, Paris, France, July 2-4, 2008, Proceedings

Friedhelm Schwenker, Simone Marinai, Lionel Prevost, 2008, ANNPR.

Classification of Bioacoustic Time Series by Training a Decision Fusion mapping

Friedhelm Schwenker, 2004, ESANN.

On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognition

Günther Palm, Friedhelm Schwenker, Miriam Schmidt, 2012, ANNPR.

Hierarchical Object Classification for Autonomous Mobile Robots

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2002, ICANN.

Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition

Friedhelm Schwenker, Mohamed Farouk Abdel Hady, 2010, MCS.

Deep Learning in Selected Cancers’ Image Analysis—A Survey

Friedhelm Schwenker, Taye Girma Debelee, Samuel Rahimeto Kebede, 2020, J. Imaging.

Fusion of Fragmentary Classifier Decisions for Affective State Recognition

Friedhelm Schwenker, Ingo Siegert, Andreas Wendemuth, 2012, MPRSS.

Two-Stream Attention Network for Pain Recognition from Video Sequences

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

Selecting Features from Foreign Classes

Friedhelm Schwenker, Ludwig Lausser, Hans A. Kestler, 2018, ANNPR.

Revisiting the EmotiW challenge: how wild is it really?

Sascha Meudt, Markus Kächele, Günther Palm, 2015, Journal on Multimodal User Interfaces.

Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces

Günther Palm, Friedhelm Schwenker, Michel Tokic, 2013, PSL.

Gray Level Image Contrast Enhancement Using Barnacles Mating Optimizer

Friedhelm Schwenker, Shameem Ahmed, Ram Sarkar, 2020, IEEE Access.

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

Markus Kächele, Friedhelm Schwenker, Martin Schels, 2013, Journal on Multimodal User Interfaces.

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).

Proceedings of the 7th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition

Friedhelm Schwenker, Edmondo Trentin, Hm Abbas, 2016 .

Multiple Classifier Systems : 12th International Workshop, MCS 2015, Gunzburg, Germany, June 29 - July 1, 2015, Proceedings

Friedhelm Schwenker, Josef Kittler, Fabio Roli, 2015 .

Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory

Günther Palm, Friedhelm Schwenker, Christian Thiel, 2006, ANNPR.

Dominant Channel Fusion Architectures - An Intelligent Late Fusion Approach

Patrick Thiam, Friedhelm Schwenker, Peter Bellmann, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Fuzzification of Agglomerative Hierarchical Crisp Clustering Algorithms

Friedhelm Schwenker, Mathias Bank, 2010, GfKl.

Audio-Visual Recognition of Pain Intensity

Patrick Thiam, Günther Palm, Friedhelm Schwenker, 2016, MPRSS.

Proceedings of the First international conference on Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Friedhelm Schwenker, Louis-Philippe Morency, Stefan Scherer, 2012 .

Emotion recognition from speech signals via a probabilistic echo-state network

Friedhelm Schwenker, Stefan Scherer, Edmondo Trentin, 2015, Pattern Recognit. Lett..

Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition

Friedhelm Schwenker, Hazem M. Abbas, Edmondo Trentin, 2018, Neural Processing Letters.

Ordinal Classification: Working Definition and Detection of Ordinal Structures

Friedhelm Schwenker, Peter Bellmann, 2020, IEEE Access.

Evaluation of modified adaptive k-means segmentation algorithm

Friedhelm Schwenker, Dereje Yohannes, Taye Girma Debelee, 2019, Computational Visual Media.

Emotion recognition in human computer interaction using multiple classifier systems

Friedhelm Schwenker, 2015 .

Ensemble Methods for Continuous Affect Recognition: Multi-modality, Temporality, and Challenges

Patrick Thiam, Markus Kächele, Günther Palm, 2015, AVEC@ACM Multimedia.

Orientation Histograms for Face Recognition

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2006, ANNPR.

Monte Carlo Based Importance Estimation of Localized Feature Descriptors for the Recognition of Facial Expressions

Markus Kächele, Günther Palm, Friedhelm Schwenker, 2014, MPRSS.

Incorporating uncertainty in a layered HMM architecture for human activity recognition

Friedhelm Schwenker, Martin Schels, Michael Glodek, 2011, J-HGBU '11.

Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition

Markus Kächele, Friedhelm Schwenker, F. Schwenker, 2014, 2014 22nd International Conference on Pattern Recognition.

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

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

Classification of bioacoustic time series based on the combination of global and local decisions

Friedhelm Schwenker, Klaus Riede, Christian Dietrich, 2004, Pattern Recognit..

Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training

Günther Palm, Friedhelm Schwenker, Mohamed Farouk Abdel Hady, 2010, Neural Networks.

Active Multi-Instance Multi-Label Learning

Friedhelm Schwenker, Robert Retz, 2014, ECDA.

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

Friedhelm Schwenker, Peter Bellmann, Daniel Braun, 2020, ArXiv.

Fusion paradigms in cognitive technical systems for human-computer interaction

Friedhelm Schwenker, Klaus C. J. Dietmayer, Wolfgang Minker, 2015, Neurocomputing.

Hierarchical support vector machines for multi-class pattern recognition

Friedhelm Schwenker, F. Schwenker, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition

Friedhelm Schwenker, Simone Marinai, S. Marinai, 2006 .

Proceedings of the First IAPR TC3 conference on Partially Supervised Learning

Friedhelm Schwenker, Edmondo Trentin, 2011 .

Real-Time Emotion Recognition Using Echo State Networks

Günther Palm, Friedhelm Schwenker, Stefan Scherer, 2008, PIT.

Experiments with Supervised Fuzzy LVQ

Friedhelm Schwenker, Christian Thiel, Britta Sonntag, 2008, ANNPR.

Multimodal Emotion Classification in Naturalistic User Behavior

Friedhelm Schwenker, Stefan Scherer, Martin Schels, 2011, HCI.

Classification of bioacoustic time series utilizing pulse detection, time and frequency features and data fusion

Günther Palm, Friedhelm Schwenker, Klaus Riede, 2005 .

Classifier Fusion Applied to Facial Expression Recognition: An Experimental Comparison

Günther Palm, Friedhelm Schwenker, Martin Schels, 2009, Human Centered Robot Systems, Cognition, Interaction, Technology.

A Reinforcement Learning Algorithm to Train a Tetris Playing Agent

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

Comparison of Multiclass SVM Decomposition Schemes for Visual Object Recognition

Günther Palm, Friedhelm Schwenker, Laine Kahsay, 2005, DAGM-Symposium.

Proceedings of the 6th IAPR TC 3 International Workshop on Artificial Neural Networks in Pattern Recognition - Volume 8774

Friedhelm Schwenker, Neamat El Gayar, Cheng Suen, 2014, ANNPR 2014.

Emotion Recognition from Speech Using Multi-Classifier Systems and RBF-Ensembles

Günther Palm, Friedhelm Schwenker, Stefan Scherer, 2008, Speech, Audio, Image and Biomedical Signal Processing using Neural Networks.

The Influence of Annotation, Corpus Design, and Evaluation on the Outcome of Automatic Classification of Human Emotions

Markus Kächele, Friedhelm Schwenker, Martin Schels, 2016, Front. ICT.

A generic framework for the inference of user states in human computer interaction

Günther Palm, Friedhelm Schwenker, Tobias Brosch, 2012, Journal on Multimodal User Interfaces.

Ensembles of Support Vector Data Description for Active Learning Based Annotation of Affective Corpora

Patrick Thiam, Markus Kächele, Günther Palm, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Klassifikation hochverstärkter EKG Signale durch RBF-Netzwerke

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 1995, DAGM-Symposium.

Multi-Modal Classifier-Fusion for the Recognition of Emotions

Sascha Meudt, Günther Palm, Friedhelm Schwenker, 2013 .

On Semi-Supervised Clustering

Friedhelm Schwenker, Edmondo Trentin, Marco Bongini, 2015 .

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

Günther Palm, Friedhelm Schwenker, Heiko Neumann, 2014, MPRSS.

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

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

Hierarchical Combination of Video Features for Personalised Pain Level Recognition

Patrick Thiam, Friedhelm Schwenker, Viktor Kessler, 2017, ESANN.

An Open Source Process Engine Framework for Realtime Pattern Recognition and Information Fusion Tasks

Friedhelm Schwenker, Stefan Scherer, Volker Fritzsch, 2010, LREC.

Prediction of COVID-19 from Chest CT Images Using an Ensemble of Deep Learning Models

Friedhelm Schwenker, Ram Sarkar, Shreya Biswas, 2021, Applied Sciences.

Handwritten Digit String Recognition using Deep Autoencoder based Segmentation and ResNet based Recognition Approach

Friedhelm Schwenker, Samir Malakar, Ram Sarkar, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Next-Generation Neural Networks: Capsule Networks With Routing-by-Agreement for Text Classification

Friedhelm Schwenker, Nikolai A. K. Steur, 2021, IEEE Access.

A Survey of Brain Tumor Segmentation and Classification Algorithms

Friedhelm Schwenker, Taye Girma Debelee, Yehualashet Megersa, 2021, J. Imaging.

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

Patrick Thiam, Friedhelm Schwenker, Peter Bellmann, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

PrepNet : a convolutional auto-encoder to homogenize CT scans for cross-dataset medical image analysis

Friedhelm Schwenker, Mohammadreza Amirian, Thilo Stadelmann, 2021 .

Co-creative Drawing with One-Shot Generative Models

Friedhelm Schwenker, Sabine Wieluch, 2021, EvoMUSART.

Median Filter Aided CNN Based Image Denoising: An Ensemble Approach

Friedhelm Schwenker, Ram Sarkar, Subhrajit Dey, 2021, Algorithms.

Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study

Friedhelm Schwenker, Ram Sarkar, Debadyuti Mukherjee, 2021, Sensors.

Enhanced Region Growing for Brain Tumor MR Image Segmentation

Friedhelm Schwenker, Taye Girma Debelee, Samuel Rahimeto Kebede, 2021, J. Imaging.

Computer Aided Breast Cancer Detection Using Ensembling of Texture and Statistical Image Features

Friedhelm Schwenker, Ram Sarkar, Devroop Kar, 2021, Sensors.

Keynote: Machine learning and data analysis of multimodal affective and pain data

Friedhelm Schwenker, 2021, PerCom Workshops.

RBF network classification of ECGs as a potential marker for sudden cardiac death

Friedhelm Schwenker, Hans A. Kestler, H. Kestler, 2001 .

Initialisation of Radial Basis Function Networks UsingClassi cation

Friedhelm Schwenker, Christian Dietrich, 2000 .

A Framework for Emotions and Dispositions in Man-Companion Interaction

Friedhelm Schwenker, Michael Kotzyba, Stefan Scherer, 2013 .

Hidden Markov models with graph densities for action recognition

Günther Palm, Friedhelm Schwenker, Michael Glodek, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Partially Supervised Learning: Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers

Friedhelm Schwenker, Zhi-Hua Zhou, 2013 .