Klassifikation hochverstärkter EKG Signale durch RBF-Netzwerke. - Friedhelm Schwenker; Hans A. Kestler; M. Höher; Günther Palm (DAGM-Symposium, 1995)

Methoden zur Clusteranalyse und Visualisierung hochdimensionaler Datenmengen. - Friedhelm Schwenker; Günther Palm (DAGM-Symposium, 1995)

Iterative retrieval of sparsely coded associative memory patterns. - Friedhelm Schwenker; Friedrich T. Sommer; Günther Palm (Neural Networks, 1996)

Ein hierarchischer neuronaler Klassifikator für die Erkennung von Einzelzeichen in mathematischen Formeltexten. - Friedhelm Schwenker; Steffen Simon; Günther Palm (DAGM-Symposium, 1998)

Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter. - Axel Baune; Steffen Simon; Hans A. Kestler; Friedhelm Schwenker; Günther Palm (AMS, 1999)

Object classification with simple visual attention and a hierarchical neural network for subsymbolic-symbolic coupling. - Steffen Simon; Hans A. Kestler; Axel Baune; Friedhelm Schwenker; Günther Palm (CIRA, 1999)

A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling. - Hans A. Kestler; Steffen Simon; Axel Baune; Markus Hagenbuchner; Friedhelm Schwenker; Günther Palm (DAGM-Symposium, 1999)

Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro-symbolic Integration. - Hans A. Kestler; Steffen Simon; Axel Baune; Friedhelm Schwenker; Günther Palm (KI, 1999)

An Algorithm for Adaptive Clustering and Visualisation of Highdimensional Data Sets. - Friedhelm Schwenker; Hans A. Kestler; Günther Palm (Computational Intelligence in Data Mining, 2000)

Radial-basis-function networks: learning and applications. - Friedhelm Schwenker; Hans A. Kestler; Günther Palm (KES, 2000)

Hierarchical support vector machines for multi-class pattern recognition. - Friedhelm Schwenker (KES, 2000)

Concurrent Object Identification and Localization for a Mobile Robot. - Hans A. Kestler; Stefan Sablatnög; Steffen Simon; Stefan Enderle; Axel Baune; Gerhard K. Kraetzschmar; Friedhelm Schwenker; Günther Palm (Künstliche Intell., 2000)

3D object recognition for autonomous mobile robots utilizing support vector classifiers. - Friedhelm Schwenker; Hans A. Kestler; Steffen Simon; Günther Palm (CIRA, 2001)

Solving Multi-class Pattern Recognition Problems with Tree-Structured Support Vector Machines. - Friedhelm Schwenker (DAGM-Symposium, 2001)

Fusion Architectures for the Classification of Time Series. - Christian Dietrich 002; Friedhelm Schwenker; Günther Palm (ICANN, 2001)

Classification of Time Series Utilizing Temporal and Decision Fusion. - Christian Dietrich 002; Friedhelm Schwenker; Günther Palm (Multiple Classifier Systems, 2001)

Tree-Structured Support Vector Machines for Multi-class Pattern Recognition. - Friedhelm Schwenker; Günther Palm (Multiple Classifier Systems, 2001)

Three learning phases for radial-basis-function networks. - Friedhelm Schwenker; Hans A. Kestler; Günther Palm (Neural Networks, 2001)

Hierarchical Object Classification for Autonomous Mobile Robots. - Steffen Simon; Friedhelm Schwenker; Hans A. Kestler; Gerhard K. Kraetzschmar; Günther Palm (ICANN, 2002)

Multiple Classifier Systems for the Recognition of Orthoptera Songs. - Christian Dietrich 002; Friedhelm Schwenker; Günther Palm (DAGM-Symposium, 2003)

Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series. - Friedhelm Schwenker; Christian Dietrich 002; Hans A. Kestler; Klaus Riede; Günther Palm (Neurocomputing, 2003)

Decision templates for the classification of bioacoustic time series. - Christian Dietrich 002; Günther Palm; Friedhelm Schwenker (Inf. Fusion, 2003)

Classification of Bioacoustic Time Series by Training a Decision Fusion mapping. - Friedhelm Schwenker (ESANN, 2004)

Classification of bioacoustic time series based on the combination of global and local decisions. - Christian Dietrich 002; Günther Palm; Klaus Riede; Friedhelm Schwenker (Pattern Recognit., 2004)

Comparison of Multiclass SVM Decomposition Schemes for Visual Object Recognition. - Laine Kahsay; Friedhelm Schwenker; Günther Palm (DAGM-Symposium, 2005)

Incremental learning in hierarchical neural networks for object recognition. - Rebecca Fay; Friedhelm Schwenker; Günther Palm (ICINCO, 2005)

Using Dempster-Shafer Theory in MCF Systems to Reject Samples. - Christian Thiel 002; Friedhelm Schwenker; Günther Palm (Multiple Classifier Systems, 2005)

Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory. - Rebecca Fay; Friedhelm Schwenker; Christian Thiel 002; Günther Palm (ANNPR, 2006)

A Study of the Robustness of KNN Classifiers Trained Using Soft Labels. - Neamat El Gayar; Friedhelm Schwenker; Günther Palm (ANNPR, 2006)

On the Effects of Constraints in Semi-supervised Hierarchical Clustering. - Hans A. Kestler; Johann M. Kraus; Günther Palm; Friedhelm Schwenker (ANNPR, 2006)

Orientation Histograms for Face Recognition. - Friedhelm Schwenker; Andreas Sachs; Günther Palm; Hans A. Kestler (ANNPR, 2006)

Wizard-of-Oz Data Collection for Perception and Interaction in Multi-User Environments. - Petra-Maria Strauß; Holger Hoffmann; Wolfgang Minker; Heiko Neumann; Günther Palm; Stefan Scherer; Friedhelm Schwenker; Harald C. Traue; Welf Walter; Ulrich Weidenbacher (LREC, 2006)

Fuzzy-Input Fuzzy-Output One-Against-All Support Vector Machines. - Christian Thiel 002; Stefan Scherer; Friedhelm Schwenker (KES (3), 2007)

Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four. - Stefan Faußer; Friedhelm Schwenker (ANNPR, 2008)

Real-Time Emotion Recognition from Speech Using Echo State Networks. - Stefan Scherer; Mohamed Oubbati; Friedhelm Schwenker; Günther Palm (ANNPR, 2008)

Experiments with Supervised Fuzzy LVQ. - Christian Thiel 002; Britta Sonntag; Friedhelm Schwenker (ANNPR, 2008)

Learning to play Tetris applying reinforcement learning methods. - Alexander Groß 001; Jan Friedland; Friedhelm Schwenker (ESANN, 2008)

Multi-View Forests of Tree-Structured Radial Basis Function Networks Based on Dempster-Shafer Evidence Theory. - Mohamed Farouk Abdel Hady; Günther Palm; Friedhelm Schwenker (ESANN, 2008)

Detecting zebra crossings utilizing AdaBoost. - Ludwig Lausser; Friedhelm Schwenker; Günther Palm (ESANN, 2008)

Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training. - Mohamed Farouk Abdel Hady; Friedhelm Schwenker; Günther Palm (ICANN (1), 2008)

Co-training by Committee: A New Semi-supervised Learning Framework. - Mohamed Farouk Abdel Hady; Friedhelm Schwenker (ICDM Workshops, 2008)

Emotion Recognition from Speech: Stress Experiment. - Stefan Scherer; Hansjörg Hofmann; Malte Lampmann; Martin Pfeil; Steffen Rhinow; Friedhelm Schwenker; Günther Palm (LREC, 2008)

Real-Time Emotion Recognition Using Echo State Networks. - Stefan Scherer; Mohamed Oubbati; Friedhelm Schwenker; Günther Palm (PIT, 2008)

Comparison of Neural Classification Algorithms Applied to Land Cover Mapping. - Christian Thiel 002; Ferdinando Giacco; Friedhelm Schwenker; Günther Palm (WIRN, 2008)

Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees. - Mohamed Farouk Abdel Hady; Friedhelm Schwenker (Int. J. Softw. Informatics, 2008)

Emotion Recognition from Speech Using Multi-Classifier Systems and RBF-Ensembles. - Stefan Scherer; Friedhelm Schwenker; Günther Palm (Speech, Audio, Image and Biomedical Signal Processing using Neural Networks, 2008)

Classifier Fusion Applied to Facial Expression Recognition: An Experimental Comparison. - Martin Schels; Christian Thiel 002; Friedhelm Schwenker; Günther Palm (Human Centered Robot Systems, Cognition, Interaction, Technology, 2009)

Multimodal Laughter Detection in Natural Discourses. - Stefan Scherer; Friedhelm Schwenker; Nick Campbell 001; Günther Palm (Human Centered Robot Systems, Cognition, Interaction, Technology, 2009)

Multimodal real-time conversation analysis using a novel process engine. - Stefan Scherer; Volker Fritzsch; Friedhelm Schwenker (ACII, 2009)

Echo State networks and Neural network Ensembles to predict Sunspots activity. - Friedhelm Schwenker; Amr Labib (ESANN, 2009)

Semi-supervised Learning for Regression with Co-training by Committee. - Mohamed Farouk Abdel Hady; Friedhelm Schwenker; Günther Palm (ICANN (1), 2009)

The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech. - Friedhelm Schwenker; Stefan Scherer; Yasmine M. Magdi; Günther Palm (ICANN (1), 2009)

Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion. - Mohamed Farouk Abdel Hady; Friedhelm Schwenker (MCS, 2009)

Parallelized Kernel Patch Clustering. - Stefan Faußer; Friedhelm Schwenker (ANNPR, 2010)

A Hidden Markov Model Based Approach for Facial Expression Recognition in Image Sequences. - Miriam Schmidt; Martin Schels; Friedhelm Schwenker (ANNPR, 2010)

Maximum Echo-State-Likelihood Networks for Emotion Recognition. - Edmondo Trentin; Stefan Scherer; Friedhelm Schwenker (ANNPR, 2010)

Fuzzification of Agglomerative Hierarchical Crisp Clustering Algorithms. - Mathias Bank; Friedhelm Schwenker (GfKl, 2010)

Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs. - Mohamed Farouk Abdel Hady; Martin Schels; Friedhelm Schwenker; Günther Palm (ICANN (2), 2010)

Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts. - Stefan Faußer; Friedhelm Schwenker (ICPR, 2010)

A Multiple Classifier System Approach for Facial Expressions in Image Sequences Utilizing GMM Supervectors. - Martin Schels; Friedhelm Schwenker (ICPR, 2010)

An Open Source Process Engine Framework for Realtime Pattern Recognition and Information Fusion Tasks. - Volker Fritzsch; Stefan Scherer; Friedhelm Schwenker (LREC, 2010)

Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition. - Mohamed Farouk Abdel Hady; Friedhelm Schwenker (MCS, 2010)

Multiple Classifier Systems for the Recogonition of Human Emotions. - Friedhelm Schwenker; Stefan Scherer; Miriam Schmidt; Martin Schels; Michael Glodek (MCS, 2010)

When classifier selection meets information theory: A unifying view. - Mohamed Farouk Abdel Hady; Friedhelm Schwenker; Günther Palm (SoCPaR, 2010)

Combining Committee-Based Semi-Supervised Learning and Active Learning. - Mohamed Farouk Abdel Hady; Friedhelm Schwenker (J. Comput. Sci. Technol., 2010)

Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training. - Mohamed Farouk Abdel Hady; Friedhelm Schwenker; Günther Palm (Neural Networks, 2010)

Multiple Classifier Systems for the Classification of Audio-Visual Emotional States. - Michael Glodek; Stephan Tschechne; Georg Layher; Martin Schels; Tobias Brosch; Stefan Scherer; Markus Kächele; Miriam Schmidt; Heiko Neumann; Günther Palm; Friedhelm Schwenker (ACII (2), 2011)

Training of multiple classifier systems utilizing partially labeled sequential data sets. - Martin Schels; Patrick Schillinger; Friedhelm Schwenker (ESANN, 2011)

Classification of Graph Sequences Utilizing the Eigenvalues of the Distance Matrices and Hidden Markov Models. - Miriam Schmidt; Friedhelm Schwenker (GbRPR, 2011)

Multimodal Emotion Classification in Naturalistic User Behavior. - Steffen Walter 001; Stefan Scherer; Martin Schels; Michael Glodek; David Hrabal; Miriam Schmidt; Ronald Böck; Kerstin Limbrecht; Harald C. Traue; Friedhelm Schwenker (HCI (3), 2011)

A Multi-objective Genetic Algorithm for Pruning Support Vector Machines. - Mohamed Farouk Abdel Hady; Wesam Herbawi; Michael Weber 001; Friedhelm Schwenker (ICTAI, 2011)

Conditioned Hidden Markov Model Fusion for Multimodal Classification. - Michael Glodek; Stefan Scherer; Friedhelm Schwenker (INTERSPEECH, 2011)

Ensemble Methods for Reinforcement Learning with Function Approximation. - Stefan Faußer; Friedhelm Schwenker (MCS, 2011)

Incorporating uncertainty in a layered HMM architecture for human activity recognition. - Michael Glodek; Lutz Bigalke; Martin Schels; Friedhelm Schwenker (J-HGBU@MM, 2011)

Studying Self- and Active-Training Methods for Multi-feature Set Emotion Recognition. - José Esparza; Stefan Scherer; Friedhelm Schwenker (PSL, 2011)

Semi-Supervised Kernel Clustering with Sample-to-Cluster Weights. - Stefan Faußer; Friedhelm Schwenker (PSL, 2011)

Classification of Emotional States in a Woz Scenario Exploiting Labeled and Unlabeled Bio-physiological Data. - Martin Schels; Markus Kächele; David Hrabal; Steffen Walter 001; Harald C. Traue; Friedhelm Schwenker (PSL, 2011)

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

On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognition. - Miriam Schmidt; Günther Palm; Friedhelm Schwenker (ANNPR, 2012)

Recognizing Human Activities Using a Layered Markov Architecture. - Michael Glodek; Georg Layher; Friedhelm Schwenker; Günther Palm (ICANN (1), 2012)

Multiple classifier combination using reject options and markov fusion networks. - Michael Glodek; Martin Schels; Günther Palm; Friedhelm Schwenker (ICMI, 2012)

Clustering large datasets with kernel methods. - Stefan Faußer; Friedhelm Schwenker (ICPR, 2012)

Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks. - Michael Glodek; Martin Schels; Günther Palm; Friedhelm Schwenker (ICPR, 2012)

Automatic emotion classification vs. human perception: Comparing machine performance to the human benchmark. - José Esparza; Stefan Scherer; André Brechmann; Friedhelm Schwenker (ISSPA, 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)

Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition. - Michael Glodek; Friedhelm Schwenker; Günther Palm (MLDM, 2012)

Fusion of Fragmentary Classifier Decisions for Affective State Recognition. - Gerald Krell; Michael Glodek; Axel Panning; Ingo Siegert; Bernd Michaelis; Andreas Wendemuth; Friedhelm Schwenker (MPRSS, 2012)

The Effect of Fuzzy Training Targets on Voice Quality Classification. - Stefan Scherer; John Kane 002; Christer Gobl; Friedhelm Schwenker (MPRSS, 2012)

Revisiting AVEC 2011 - An Information Fusion Architecture. - Martin Schels; Michael Glodek; Friedhelm Schwenker; Günther Palm (WIRN, 2012)

A generic framework for the inference of user states in human computer interaction. - Stefan Scherer; Michael Glodek; Georg Layher; Martin Schels; Miriam Schmidt; Tobias Brosch; Stephan Tschechne; Friedhelm Schwenker; Heiko Neumann; Günther Palm (J. Multimodal User Interfaces, 2012)

Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data. - Stefan Scherer; Michael Glodek; Friedhelm Schwenker; Nick Campbell 001; Günther Palm (ACM Trans. Interact. Intell. Syst., 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)

Using speaker group dependent modelling to improve fusion of fragmentary classifier decisions. - Ingo Siegert; Michael Glodek; Axel Panning; Gerald Krell; Friedhelm Schwenker; Ayoub Al-Hamadi; Andreas Wendemuth (CYBCONF, 2013)

Attention-Gated Reinforcement Learning in Neural Networks - A Unified View. - Tobias Brosch; Friedhelm Schwenker; Heiko Neumann (ICANN, 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)

Recognizing User Preferences Based on Layered Activity Recognition and First-Order Logic. - Michael Glodek; Thomas Geier; Susanne Biundo; Friedhelm Schwenker; Günther Palm (ICTAI, 2013)

Hidden Markov models with graph densities for action recognition. - Michael Glodek; Edmondo Trentin; Friedhelm Schwenker; Günther Palm (IJCNN, 2013)

Kalman Filter Based Classifier Fusion for Affective State Recognition. - Michael Glodek; Stephan Reuter; Martin Schels; Klaus Dietmayer; Friedhelm Schwenker (MCS, 2013)

Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition. - Markus Kächele; Friedhelm Schwenker (PSL, 2013)

Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces. - Michel Tokic; Friedhelm Schwenker; Günther Palm (PSL, 2013)

Ensemble Methods: Foundations and Algorithms [Book Review]. - Friedhelm Schwenker (IEEE Comput. Intell. Mag., 2013)

Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification. - Stefan Scherer; John Kane 002; Christer Gobl; Friedhelm Schwenker (Comput. Speech Lang., 2013)

Ensemble Gaussian mixture models for probability density estimation. - Michael Glodek; Martin Schels; Friedhelm Schwenker (Comput. Stat., 2013)

On the discovery of events in EEG data utilizing information fusion. - Martin Schels; Stefan Scherer; Michael Glodek; Hans A. Kestler; Günther Palm; Friedhelm Schwenker (Comput. Stat., 2013)

Semi-supervised Learning. - Mohamed Farouk Abdel Hady; Friedhelm Schwenker (Handbook on Neural Information Processing, 2013)

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

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)

A Reinforcement Learning Algorithm to Train a Tetris Playing Agent. - Patrick Thiam; Viktor Kessler; Friedhelm Schwenker (ANNPR, 2014)

Active Multi-Instance Multi-Label Learning. - Robert Retz; Friedhelm Schwenker (ECDA, 2014)

Selective Neural Network Ensembles in Reinforcement Learning. - Stefan Faußer; Friedhelm Schwenker (ESANN, 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)

Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition. - Markus Kächele; Friedhelm Schwenker (ICPR, 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)

Inferring Depression and Affect from Application Dependent Meta Knowledge. - Markus Kächele; Martin Schels; Friedhelm Schwenker (AVEC@MM, 2014)

uulmMAD - A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances. - Michael Glodek; Georg Layher; Felix Heilemann; Florian Gawrilowicz; Günther Palm; Friedhelm Schwenker; Heiko Neumann (MPRSS, 2014)

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

Monte Carlo Based Importance Estimation of Localized Feature Descriptors for the Recognition of Facial Expressions. - Markus Kächele; Günther Palm; Friedhelm Schwenker (MPRSS, 2014)

Spectral graph features for the classification of graphs and graph sequences. - Miriam Schmidt; Günther Palm; Friedhelm Schwenker (Comput. Stat., 2014)

Combination of sequential class distributions from multiple channels using Markov fusion networks. - Michael Glodek; Martin Schels; Friedhelm Schwenker; Günther Palm (J. Multimodal User Interfaces, 2014)

Using unlabeled data to improve classification of emotional states in human computer interaction. - Martin Schels; Markus Kächele; Michael Glodek; David Hrabal; Steffen Walter 001; Friedhelm Schwenker (J. Multimodal User Interfaces, 2014)

Semi-supervised clustering of large data sets with kernel methods. - Stefan Faußer; Friedhelm Schwenker (Pattern Recognit. Lett., 2014)

Partially supervised learning for pattern recognition. - Friedhelm Schwenker; Edmondo Trentin (Pattern Recognit. Lett., 2014)

Pattern classification and clustering: A review of partially supervised learning approaches. - Friedhelm Schwenker; Edmondo Trentin (Pattern Recognit. Lett., 2014)

On the effects of continuous annotation tools and the human factor on the annotation outcome. - Viktor Kessler; Martin Schels; Markus Kächele; Guenther Palm; Friedhelm Schwenker (ISCT, 2015)

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

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)

SMO Lattices for the Parallel Training of Support Vector Machines. - Markus Kächele; Günther Palm; Friedhelm Schwenker (ESANN, 2015)

Paradigms for the Construction and Annotation of Emotional Corpora for Real-world Human-Computer-Interaction. - Markus Kächele; Stefanie Rukavina; Günther Palm; Friedhelm Schwenker; Martin Schels (ICPRAM (1), 2015)

Bio-Visual Fusion for Person-Independent Recognition of Pain Intensity. - Markus Kächele; Philipp Werner; Ayoub Al-Hamadi; Günther Palm; Steffen Walter 001; Friedhelm Schwenker (MCS, 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)

Data fusion for automated pain recognition. - Steffen Walter 001; Sascha Gruss; Harald C. Traue; Philipp Werner; Ayoub Al-Hamadi; Markus Kächele; Friedhelm Schwenker; Adriano de Oliveira Andrade; Gustavo Moreira (PervasiveHealth, 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)

Selective neural network ensembles in reinforcement learning: Taking the advantage of many agents. - Stefan Faußer; Friedhelm Schwenker (Neurocomputing, 2015)

Fusion paradigms in cognitive technical systems for human-computer interaction. - Michael Glodek; Frank Honold; Thomas Geier; Gerald Krell; Florian Nothdurft; Stephan Reuter; Felix Schüssel; Thilo Hörnle; Klaus Dietmayer; Wolfgang Minker; Susanne Biundo; Michael Weber 001; et al. (Neurocomputing, 2015)

Neural Network Ensembles in Reinforcement Learning. - Stefan Faußer; Friedhelm Schwenker (Neural Process. Lett., 2015)

Preface of pattern recognition in human computer interaction. - Friedhelm Schwenker; Stefan Scherer; Louis-Philippe Morency (Pattern Recognit. Lett., 2015)

Emotion recognition from speech signals via a probabilistic echo-state network. - Edmondo Trentin; Stefan Scherer; Friedhelm Schwenker (Pattern Recognit. Lett., 2015)

Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals. - Mohammadreza Amirian; Markus Kächele; Friedhelm Schwenker (ANNPR, 2016)

Emotion Recognition in Speech with Deep Learning Architectures. - Mehmet Erdal; Markus Kächele; Friedhelm Schwenker (ANNPR, 2016)

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)

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

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)

The Influence of Annotation, Corpus Design, and Evaluation on the Outcome of Automatic Classification of Human Emotions. - Markus Kächele; Martin Schels; Friedhelm Schwenker (Frontiers ICT, 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)

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)

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 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)

Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation. - Mohammadreza Amirian; Markus Kächele; Günther Palm; Friedhelm Schwenker (FG, 2017)

Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction. - Taye Girma Debelee; Mohammadreza Amirian; Achim Ibenthal; Günther Palm; Friedhelm Schwenker (ICT4DA, 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)

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)

Emotion Recognition from Speech. - Andreas Wendemuth; Bogdan Vlasenko; Ingo Siegert; Ronald Böck; Friedhelm Schwenker; Günther Palm (Companion Technology, 2017)

Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps. - Mohammadreza Amirian; Friedhelm Schwenker; Thilo Stadelmann (ANNPR, 2018)

Selecting Features from Foreign Classes. - Ludwig Lausser; Robin Szekely; Viktor Kessler; Friedhelm Schwenker; Hans A. Kestler (ANNPR, 2018)

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

Detection of Bat Acoustics Signals Using Voice Activity Detection Techniques with Random Forests Classification. - Adrián T. Ruiz; Julian Equihua; Santiago Martínez; Everardo Robredo; Günther Palm; Friedhelm Schwenker (CIARP, 2018)

Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain Intensity. - Danila Mamontov; Iana Polonskaia; Alina Skorokhod; Eugene Semenkin; Viktor Kessler; Friedhelm Schwenker (MPRSS, 2018)

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

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

Combining Deep and Hand-Crafted Features for Audio-Based Pain Intensity Classification. - Patrick Thiam; Friedhelm Schwenker (MPRSS, 2018)

A dataset of continuous affect annotations and physiological signals for emotion analysis. - Karan Sharma; Claudio Castellini; Egon L. van den Broek; Alin Albu-Schäffer; Friedhelm Schwenker (CoRR, 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)

Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition. - Edmondo Trentin; Friedhelm Schwenker; Neamat El Gayar; Hazem M. Abbas (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)

Filter Method Ensemble with Neural Networks. - Anuran Chakraborty; Rajonya De; Agneet Chatterjee; Friedhelm Schwenker; Ram Sarkar (ICANN (2), 2019)

Dropout Induced Noise for Co-Creative GAN Systems. - Sabine Wieluch; Friedhelm Schwenker (ICCV Workshops, 2019)

Evaluation of modified adaptive k-means segmentation algorithm. - Taye Girma Debelee; Friedhelm Schwenker; Samuel Rahimeto; Dereje Yohannes (Comput. Vis. Media, 2019)

Artificial Development by Reinforcement Learning Can Benefit From Multiple Motivations. - Günther Palm; Friedhelm Schwenker (Frontiers Robotics AI, 2019)

Feature Selection for Recognition of Online Handwritten Bangla Characters. - Shibaprasad Sen; Mridul Mitra; Ankan Bhattacharyya; Ram Sarkar; Friedhelm Schwenker; Kaushik Roy 004 (Neural Process. Lett., 2019)

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

A functional data analysis approach for continuous 2-D emotion annotations. - Karan Sharma; Marius Wagner; Claudio Castellini; Egon L. van den Broek; Freek Stulp; Friedhelm Schwenker (Web Intell., 2019)

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

Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools. - Jasmin Dalferth; Sven Winkelmann; Friedhelm Schwenker (ANNPR, 2020)

Feature Extraction: A Time Window Analysis Based on the X-ITE Pain Database. - Tobias Ricken; Adrian Steinert; Peter Bellmann; Steffen Walter 001; Friedhelm Schwenker (ANNPR, 2020)

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

Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario. - Peter Bellmann; Ludwig Lausser; Hans A. Kestler; Friedhelm Schwenker (ICPR Workshops (6), 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)

Fuzzy-Based Pseudo Segmentation Approach for Handwritten Word Recognition Using a Sequence to Sequence Model with Attention. - Rajdeep Bhattacharya; Samir Malakar; Friedhelm Schwenker; Ram Sarkar (ICPR Workshops (2), 2020)

Handwritten Digit String Recognition using Deep Autoencoder based Segmentation and ResNet based Recognition Approach. - Anuran Chakraborty; Rajonya De; Samir Malakar; Friedhelm Schwenker; Ram Sarkar (ICPR, 2020)

Personalized k-fold Cross-Validation Analysis with Transfer from Phasic to Tonic Pain Recognition on X-ITE Pain Database. - Youssef Wally; Yara Samaha; Ziad Yasser; Steffen Walter 001; Friedhelm Schwenker (ICPR Workshops (6), 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)

Automated Pain Assessment: Is it Useful to Combine Person-Specific Data Samples? - Peter Bellmann; Friedhelm Schwenker (SSCI, 2020)

Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades. - Peter Bellmann; Ludwig Lausser; Hans A. Kestler; Friedhelm Schwenker (S+SSPR, 2020)

Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness. - Mohammadreza Amirian; Lukas Tuggener; Ricardo Chavarriaga; Yvan Putra Satyawan; Frank-Peter Schilling; Friedhelm Schwenker; Thilo Stadelmann (TAILOR, 2020)

Gray Level Image Contrast Enhancement Using Barnacles Mating Optimizer. - Shameem Ahmed; Kushal Kanti Ghosh; Suman Kumar Bera; Friedhelm Schwenker; Ram Sarkar (IEEE Access, 2020)

Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability. - Mohammadreza Amirian; Friedhelm Schwenker (IEEE Access, 2020)

Ordinal Classification: Working Definition and Detection of Ordinal Structures. - Peter Bellmann; Friedhelm Schwenker (IEEE Access, 2020)

StrokeCoder: Path-Based Image Generation from Single Examples using Transformers. - Sabine Wieluch; Friedhelm Schwenker (CoRR, 2020)

Survey of deep learning in breast cancer image analysis. - Taye Girma Debelee; Friedhelm Schwenker; Achim Ibenthal; Dereje Yohannes (Evol. Syst., 2020)

Deep Learning in Selected Cancers' Image Analysis - A Survey. - Taye Girma Debelee; Samuel Rahimeto Kebede; Friedhelm Schwenker; Zemene Matewos Shewarega (J. Imaging, 2020)

A novel segmentation technique for online handwritten Bangla words. - Shibaprasad Sen; Shubham Chowdhury; Mridul Mitra; Friedhelm Schwenker; Ram Sarkar; Kaushik Roy 004 (Pattern Recognit. Lett., 2020)

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)

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

PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis. - Mohammadreza Amirian; Javier A. Montoya-Zegarra; Jonathan Gruss; Yves D. Stebler; Ahmet Selman Bozkir; Marco Calandri; Friedhelm Schwenker; Thilo Stadelmann (CISP-BMEI, 2021)

Co-creative Drawing with One-Shot Generative Models. - Sabine Wieluch; Friedhelm Schwenker (EvoMUSART, 2021)

Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts. - Peter Bellmann; Heinke Hihn; Daniel A. Braun 001; Friedhelm Schwenker (ICAART (2), 2021)

Keynote: Machine learning and data analysis of multimodal affective and pain data. - Friedhelm Schwenker (PerCom Workshops, 2021)

Next-Generation Neural Networks: Capsule Networks With Routing-by-Agreement for Text Classification. - Nikolai A. K. Steur; Friedhelm Schwenker (IEEE Access, 2021)

Median Filter Aided CNN Based Image Denoising: An Ensemble Approach. - Subhrajit Dey; Rajdeep Bhattacharya; Friedhelm Schwenker; Ram Sarkar (Algorithms, 2021)

Comparison of short-term electrical load forecasting methods for different building types. - Arne Groß; Antonia Lenders; Friedhelm Schwenker; Daniel A. Braun 001; David Fischer (Energy Inform., 2021)

Automatic pectoral muscle removal in mammograms. - Samuel Rahimeto; Taye Girma Debelee; Dereje Yohannes; Friedhelm Schwenker (Evol. Syst., 2021)

Enhanced Region Growing for Brain Tumor MR Image Segmentation. - Erena Siyoum Biratu; Friedhelm Schwenker; Taye Girma Debelee; Samuel Rahimeto Kebede; Worku Gachena Negera; Hasset Tamirat Molla (J. Imaging, 2021)

A Survey of Brain Tumor Segmentation and Classification Algorithms. - Erena Siyoum Biratu; Friedhelm Schwenker; Yehualashet Megersa; Taye Girma Debelee (J. Imaging, 2021)

Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study. - Debadyuti Mukherjee; Koustav Dhar; Friedhelm Schwenker; Ram Sarkar (Sensors, 2021)

Computer Aided Breast Cancer Detection Using Ensembling of Texture and Statistical Image Features. - Soumya Deep Roy; Soham Das 003; Devroop Kar; Friedhelm Schwenker; Ram Sarkar (Sensors, 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)

Pain Detection in Biophysiological Signals: Transfer Learning from Short-Term to Long-Term Stimuli Based on Signal Segmentation. - Tobias Ricken; Peter Bellmann; Steffen Walter 001; Friedhelm Schwenker (ICPR Workshops (1), 2022)

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

Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection. - Patrick Feifel; Benedikt Franke; Arne P. Raulf; Friedhelm Schwenker; Frank Bonarens; Frank Köster (AISafety@IJCAI, 2022)

Using Generative Adversarial Networks for Single Image Super-Resolution. - Marwan Farag; Friedhelm Schwenker (PanAfriCon AI, 2022)

Lung Tumor Detection and Recognition Using Deep Convolutional Neural Networks. - Shehabeldin Solyman; Friedhelm Schwenker (PanAfriCon AI, 2022)

Structured Nonlinear Discriminant Analysis. - Christopher M. A. Bonenberger; Wolfgang Ertel; Markus Schneider 005; Friedhelm Schwenker (ECML/PKDD (1), 2022)

Singular Spectrum Analysis and Circulant Maximum Variance Frames. - Christopher M. A. Bonenberger; Wolfgang Ertel; Friedhelm Schwenker; Markus Schneider 005 (Adv. Data Sci. Adapt. Anal., 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)

Cyclic Nonlinear Correlation Analysis for Time Series. - Christopher M. A. Bonenberger; Friedhelm Schwenker; Wolfgang Ertel; Markus Schneider 005 (IEEE Access, 2022)

Machine Learning in Cereal Crops Disease Detection: A Review. - Fraol Gelana Waldamichael; Taye Girma Debelee; Friedhelm Schwenker; Yehualashet Megersa Ayano; Samuel Rahimeto Kebede (Algorithms, 2022)

Learnability of the Boolean Innerproduct in Deep Neural Networks. - Mehmet Erdal; Friedhelm Schwenker (Entropy, 2022)

CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays. - Subhrajit Dey; Rajdeep Bhattacharya; Samir Malakar; Friedhelm Schwenker; Ram Sarkar (Expert Syst. Appl., 2022)

Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning. - Worku Gachena Negera; Friedhelm Schwenker; Taye Girma Debelee; Henock Mulugeta Melaku; Yehualashet Megeresa Ayano (Sensors, 2022)

Thermal Infrared Single Image Dehazing and Blind Image Quality Assessment. - Fabian Erlenbusch; Constanze Merkt; Bernardo de Oliveira; Alexander Gatter; Friedhelm Schwenker; Ulrich Klauck; Michael Teutsch (CVPR Workshops, 2023)

Potential analysis of a Quantum RL controller in the context of autonomous driving. - M. Lautaro Hickmann; Arne P. Raulf; Frank Köster; Friedhelm Schwenker; Hans-Martin Rieser (ESANN, 2023)

Pain Recognition Differences between Female and Male Subjects: An Analysis based on the Physiological Signals of the X-ITE Pain Database. - Tobias B. Ricken; Peter Bellmann; Sascha Gruss; Hans A. Kestler; Steffen Walter 001; Friedhelm Schwenker (ICMI Companion, 2023)

Generating Synthetic Brain Tumor Data Using StyleGAN3 for Lower Class Enhancement. - Ahmed Abdalaziz; Friedhelm Schwenker (PanAfriCon AI (1), 2023)

Fake vs. Real Face Discrimination Using Convolutional Neural Networks. - Khaled Eissa; Friedhelm Schwenker (PanAfriCon AI (2), 2023)

Class-Variational Learning With Capsule Networks for Deep Entity-Subspace Clustering. - Nikolai A. K. Steur; Friedhelm Schwenker (IEEE Access, 2023)

Visual Static Hand Gesture Recognition Using Convolutional Neural Network. - Ahmed Eid; Friedhelm Schwenker (Algorithms, 2023)

A Novel Approach to Spectral Estimation and Moving Average Model Parameter Estimation. - Christopher M. A. Bonenberger; Markus Schneider 005; Friedhelm Schwenker; Wolfgang Ertel (IEEE Signal Process. Lett., 2023)

Pain Detection in Biophysiological Signals: Knowledge Transfer from Short-Term to Long-Term Stimuli Based on Distance-Specific Segment Selection. - Tobias Ricken; Peter Bellmann; Steffen Walter 001; Friedhelm Schwenker (Comput., 2023)

Weak Localization of Radiographic Manifestations in Pulmonary Tuberculosis from Chest X-ray: A Systematic Review. - Degaga Wolde Feyisa; Yehualashet Megersa Ayano; Taye Girma Debelee; Friedhelm Schwenker (Sensors, 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)

ECG Synthesis via Diffusion-Based State Space Augmented Transformer. - Md Haider Zama; Friedhelm Schwenker (Sensors, 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)

A Metaheuristic Optimization Based Deep Feature Selection for Oral Cancer Classification. - Akash Halder; Sugata Laha; Saptarshi Bandyopadhyay; Friedhelm Schwenker; Ram Sarkar (ANNPR, 2024)

Towards Explainable Visual Vessel Recognition Using Fine-Grained Classification and Image Retrieval. - Heiko Karus; Friedhelm Schwenker; Michael Munz 001; Michael Teutsch (CVPR Workshops, 2024)

PatternPortrait: Draw Me Like One of Your Scribbles. - Sabine Wieluch; Friedhelm Schwenker (EvoMUSART, 2024)

ModMix: Data Augmentation for Multimodal Pain Detection. - Mehmet Erdal; Sascha Gruss; Steffen Walter 001; Friedhelm Schwenker (ICPR (Workshops and Challenges, 5), 2024)

A Note on Linear Time Series Prediction. - Christopher M. A. Bonenberger; Markus Schneider 005; Wolfgang Ertel; Friedhelm Schwenker (KI, 2024)

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

Interpretable Hybrid Multichannel Deep Learning Model for Heart Disease Classification Using 12-Lead ECG Signal. - Yehualashet Megersa Ayano; Friedhelm Schwenker; Bisrat Derebssa Dufera; Taye Girma Debelee; Yitagesu Getachew Ejegu (IEEE Access, 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)

Learning in Deep Radial Basis Function Networks. - Fabian Wurzberger; Friedhelm Schwenker (Entropy, 2024)

EEG-Based Hybrid Emotion Recognition Model with Statistical-Wavelet Features and Modality-Agnostic Loss. - Asfak Ali; Jotiraditya Banerjee; Debam Saha; Akash Dutta; Friedhelm Schwenker; Ram Sarkar (EANN (1), 2025)

TEMPO: Timestep Explanations for Modeling Preferences in Online Preference-Based RL. - Jakob Karlaus; Friedhelm Schwenker (IEEE Access, 2025)

SAWL-Net: A Statistical Attentions and Wavelet Aided Lightweight Network for Classification of Cancers in Histopathological Images. - Surya Majumder; Aishik Paul; Friedhelm Schwenker; Ram Sarkar (IEEE Trans. Artif. Intell., 2025)