Friedhelm Schwenker

Orcid: 0000-0001-5118-0812

Affiliations:
  • Universität Ulm, Germany


According to our database1, Friedhelm Schwenker authored at least 258 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning in Deep Radial Basis Function Networks.
Entropy, May, 2024

Enhanced performance prediction of ATL model transformations.
Perform. Evaluation, 2024

Interpretable Hybrid Multichannel Deep Learning Model for Heart Disease Classification Using 12-Lead ECG Signal.
IEEE Access, 2024

Predicting the Performance of ATL Model Transformations.
Proceedings of the Software Engineering 2024, Fachtagung des GI-Fachbereichs Softwaretechnik, Linz, Austria, February 26, 2024

A Note on Linear Time Series Prediction.
Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

PatternPortrait: Draw Me Like One of Your Scribbles.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2024

Towards Explainable Visual Vessel Recognition Using Fine-Grained Classification and Image Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Metaheuristic Optimization Based Deep Feature Selection for Oral Cancer Classification.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024

2023
ECG Synthesis via Diffusion-Based State Space Augmented Transformer.
Sensors, October, 2023

Data Set for Enhanced Performance Prediction of ATL Model Transformations.
Dataset, September, 2023

Data Set for Enhanced Performance Prediction of ATL Model Transformations.
Dataset, September, 2023

Weak Localization of Radiographic Manifestations in Pulmonary Tuberculosis from Chest X-ray: A Systematic Review.
Sensors, August, 2023

Pain Detection in Biophysiological Signals: Knowledge Transfer from Short-Term to Long-Term Stimuli Based on Distance-Specific Segment Selection.
Comput., April, 2023

A Novel Approach to Spectral Estimation and Moving Average Model Parameter Estimation.
IEEE Signal Process. Lett., 2023

Visual Static Hand Gesture Recognition Using Convolutional Neural Network.
Algorithms, 2023

Class-Variational Learning With Capsule Networks for Deep Entity-Subspace Clustering.
IEEE Access, 2023

Fake vs. Real Face Discrimination Using Convolutional Neural Networks.
Proceedings of the Pan-African Conference on Artificial Intelligence, 2023

Generating Synthetic Brain Tumor Data Using StyleGAN3 for Lower Class Enhancement.
Proceedings of the Pan-African Conference on Artificial Intelligence, 2023

Pain Recognition Differences between Female and Male Subjects: An Analysis based on the Physiological Signals of the X-ITE Pain Database.
Proceedings of the International Conference on Multimodal Interaction, 2023

Potential analysis of a Quantum RL controller in the context of autonomous driving.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Thermal Infrared Single Image Dehazing and Blind Image Quality Assessment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning.
Sensors, 2022

CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays.
Expert Syst. Appl., 2022

Learnability of the Boolean Innerproduct in Deep Neural Networks.
Entropy, 2022

Machine Learning in Cereal Crops Disease Detection: A Review.
Algorithms, 2022

Cyclic Nonlinear Correlation Analysis for Time Series.
IEEE Access, 2022

Machine Learning-Based Pain Intensity Estimation: Where Pattern Recognition Meets Chaos Theory - An Example Based on the BioVid Heat Pain Database.
IEEE Access, 2022

Singular Spectrum Analysis and Circulant Maximum Variance Frames.
Adv. Data Sci. Adapt. Anal., 2022

Structured Nonlinear Discriminant Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Lung Tumor Detection and Recognition Using Deep Convolutional Neural Networks.
Proceedings of the Pan-African Conference on Artificial Intelligence - First Conference, 2022

Using Generative Adversarial Networks for Single Image Super-Resolution.
Proceedings of the Pan-African Conference on Artificial Intelligence - First Conference, 2022

Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

Deep Learning Architectures for Pain Recognition Based on Physiological Signals.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Pain Detection in Biophysiological Signals: Transfer Learning from Short-Term to Long-Term Stimuli Based on Signal Segmentation.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021
Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database.
IEEE Trans. Affect. Comput., 2021

Computer Aided Breast Cancer Detection Using Ensembling of Texture and Statistical Image Features.
Sensors, 2021

Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study.
Sensors, 2021

A Survey of Brain Tumor Segmentation and Classification Algorithms.
J. Imaging, 2021

Enhanced Region Growing for Brain Tumor MR Image Segmentation.
J. Imaging, 2021

Automatic pectoral muscle removal in mammograms.
Evol. Syst., 2021

Comparison of short-term electrical load forecasting methods for different building types.
Energy Inform., 2021

Median Filter Aided CNN Based Image Denoising: An Ensemble Approach.
Algorithms, 2021

Next-Generation Neural Networks: Capsule Networks With Routing-by-Agreement for Text Classification.
IEEE Access, 2021

Keynote: Machine learning and data analysis of multimodal affective and pain data.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Co-creative Drawing with One-Shot Generative Models.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2021

PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020
Two-Stream Attention Network for Pain Recognition from Video Sequences.
Sensors, 2020

The uulmMAC Database - A Multimodal Affective Corpus for Affective Computing in Human-Computer Interaction.
Sensors, 2020

A novel segmentation technique for online handwritten Bangla words.
Pattern Recognit. Lett., 2020

Deep Learning in Selected Cancers' Image Analysis - A Survey.
J. Imaging, 2020

Survey of deep learning in breast cancer image analysis.
Evol. Syst., 2020

StrokeCoder: Path-Based Image Generation from Single Examples using Transformers.
CoRR, 2020

Ordinal Classification: Working Definition and Detection of Ordinal Structures.
IEEE Access, 2020

Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability.
IEEE Access, 2020

Gray Level Image Contrast Enhancement Using Barnacles Mating Optimizer.
IEEE Access, 2020

Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Automated Pain Assessment: Is it Useful to Combine Person-Specific Data Samples?
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Dominant Channel Fusion Architectures - An Intelligent Late Fusion Approach.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signals.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Subject-independent Pain Recognition using Physiological Signals and Para-linguistic Vocalizations.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Person Identification based on Physiological Signals: Conditions and Risks.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Personalized k-fold Cross-Validation Analysis with Transfer from Phasic to Tonic Pain Recognition on X-ITE Pain Database.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Handwritten Digit String Recognition using Deep Autoencoder based Segmentation and ResNet based Recognition Approach.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fuzzy-Based Pseudo Segmentation Approach for Handwritten Word Recognition Using a Sequence to Sequence Model with Attention.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Using Meta Labels for the Training of Weighting Models in a Sample-Specific Late Fusion Classification Architecture.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Automatic Pain Intensity Recognition: Training Set Selection based on Outliers and Centroids.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Feature Extraction: A Time Window Analysis Based on the X-ITE Pain Database.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

2019
A functional data analysis approach for continuous 2-D emotion annotations.
Web Intell., 2019

Exploring Deep Physiological Models for Nociceptive Pain Recognition.
Sensors, 2019

Feature Selection for Recognition of Online Handwritten Bangla Characters.
Neural Process. Lett., 2019

Artificial Development by Reinforcement Learning Can Benefit From Multiple Motivations.
Frontiers Robotics AI, 2019

Evaluation of modified adaptive k-means segmentation algorithm.
Comput. Vis. Media, 2019

Dropout Induced Noise for Co-Creative GAN Systems.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Filter Method Ensemble with Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Deep Domain Adaptation for Facial Expression Analysis.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

Using a Quartile-based Data Transformation for Pain Intensity Classification based on the SenseEmotion Database.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

2018
Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition.
Neural Process. Lett., 2018

A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection.
Neural Process. Lett., 2018

A dataset of continuous affect annotations and physiological signals for emotion analysis.
CoRR, 2018

Combining Deep and Hand-Crafted Features for Audio-Based Pain Intensity Classification.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2018

Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2018

Visualizing Facial Expression Features of Pain and Emotion Data.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2018

Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain Intensity.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2018

Detection of Bat Acoustics Signals Using Voice Activity Detection Techniques with Random Forests Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

A k -Nearest Neighbor Based Algorithm for Multi-Instance Multi-Label Active Learning.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

Selecting Features from Foreign Classes.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017
Emotion Recognition from Speech.
Proceedings of the Companion Technology - A Paradigm Shift in Human-Technology Interaction, 2017

Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System.
Proceedings of the Companion Technology - A Paradigm Shift in Human-Technology Interaction, 2017

Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems.
Proceedings of the Companion Technology - A Paradigm Shift in Human-Technology Interaction, 2017

Adaptive confidence learning for the personalization of pain intensity estimation systems.
Evol. Syst., 2017

Multi-modal data fusion for pain intensity assessment and classification.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Pain recognition with camera photoplethysmography.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction.
Proceedings of the Information and Communication Technology for Development for Africa, 2017

Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Hierarchical Combination of Video Features for Personalised Pain Level Recognition.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Multimodal fusion including camera photoplethysmography for pain recognition.
Proceedings of the International Conference on Companion Technology, 2017

2016
Going Further in Affective Computing: How Emotion Recognition Can Improve Adaptive User Interaction.
Proceedings of the Toward Robotic Socially Believable Behaving Systems - Volume I, 2016

Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels.
IEEE J. Sel. Top. Signal Process., 2016

Revisiting the EmotiW challenge: how wild is it really?
J. Multimodal User Interfaces, 2016

The Influence of Annotation, Corpus Design, and Evaluation on the Outcome of Automatic Classification of Human Emotions.
Frontiers ICT, 2016

The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2016

Audio-Visual Recognition of Pain Intensity.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2016

Fusion Architectures for Multimodal Cognitive Load Recognition.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2016

Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2016

Continuous Multimodal Human Affect Estimation using Echo State Networks.
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016

Inferring mental overload based on postural behavior and gestures.
Proceedings of the 2nd workshop on Emotion Representations and Modelling for Companion Systems, 2016

Active Learning for Speech Event Detection in HCI.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

On Gestures and Postural Behavior as a Modality in Ensemble Methods.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

Emotion Recognition in Speech with Deep Learning Architectures.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015
Emotion recognition from speech signals via a probabilistic echo-state network.
Pattern Recognit. Lett., 2015

Preface of pattern recognition in human computer interaction.
Pattern Recognit. Lett., 2015

Neural Network Ensembles in Reinforcement Learning.
Neural Process. Lett., 2015

Fusion paradigms in cognitive technical systems for human-computer interaction.
Neurocomputing, 2015

Selective neural network ensembles in reinforcement learning: Taking the advantage of many agents.
Neurocomputing, 2015

Ensembles of Support Vector Data Description for Active Learning Based Annotation of Affective Corpora.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Fusion Mappings for Multimodal Affect Recognition.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Data fusion for automated pain recognition.
Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, 2015

Ensemble Methods for Continuous Affect Recognition: Multi-modality, Temporality, and Challenges.
Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, 2015

Bio-Visual Fusion for Person-Independent Recognition of Pain Intensity.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

Paradigms for the Construction and Annotation of Emotional Corpora for Real-world Human-Computer-Interaction.
Proceedings of the ICPRAM 2015, 2015

SMO Lattices for the Parallel Training of Support Vector Machines.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity.
Proceedings of the Engineering Applications of Neural Networks, 2015

ATLAS - Machine learning based annnotation of multimodal data recorded in human-computer interaction scenarios.
Proceedings of the 1st International Symposium on Companion-Technology (ISCT 2015), 2015

On the effects of continuous annotation tools and the human factor on the annotation outcome.
Proceedings of the 1st International Symposium on Companion-Technology (ISCT 2015), 2015

2014
Pattern classification and clustering: A review of partially supervised learning approaches.
Pattern Recognit. Lett., 2014

Partially supervised learning for pattern recognition.
Pattern Recognit. Lett., 2014

Semi-supervised clustering of large data sets with kernel methods.
Pattern Recognit. Lett., 2014

Using unlabeled data to improve classification of emotional states in human computer interaction.
J. Multimodal User Interfaces, 2014

Combination of sequential class distributions from multiple channels using Markov fusion networks.
J. Multimodal User Interfaces, 2014

Spectral graph features for the classification of graphs and graph sequences.
Comput. Stat., 2014

Monte Carlo Based Importance Estimation of Localized Feature Descriptors for the Recognition of Facial Expressions.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2014

Audio-Visual User Identification in HCI Scenarios.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2014

uulmMAD - A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2014

Inferring Depression and Affect from Application Dependent Meta Knowledge.
Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge, 2014

On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction.
Proceedings of the Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction, 2014

Fusion of Audio-visual Features using Hierarchical Classifier Systems for the Recognition of Affective States and the State of Depression.
Proceedings of the ICPRAM 2014, 2014

Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Detection of Emotional Events utilizing Support Vector Methods in an Active Learning HCI Scenario.
Proceedings of the 2014 workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems, 2014

Enhanced Autocorrelation in Real World Emotion Recognition.
Proceedings of the 16th International Conference on Multimodal Interaction, 2014

Selective Neural Network Ensembles in Reinforcement Learning.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Active Multi-Instance Multi-Label Learning.
Proceedings of the Analysis of Large and Complex Data, 2014

A Reinforcement Learning Algorithm to Train a Tetris Playing Agent.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

A New Multi-class Fuzzy Support Vector Machine Algorithm.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

Majority-Class Aware Support Vector Domain Oversampling for Imbalanced Classification Problems.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

2013
Semi-supervised Learning.
Proceedings of the Handbook on Neural Information Processing, 2013

On the discovery of events in EEG data utilizing information fusion.
Comput. Stat., 2013

Ensemble Gaussian mixture models for probability density estimation.
Comput. Stat., 2013

Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification.
Comput. Speech Lang., 2013

Ensemble Methods: Foundations and Algorithms [Book Review].
IEEE Comput. Intell. Mag., 2013

Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces.
Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013

Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition.
Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013

Kalman Filter Based Classifier Fusion for Affective State Recognition.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Hidden Markov models with graph densities for action recognition.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Recognizing User Preferences Based on Layered Activity Recognition and First-Order Logic.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech.
Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Attention-Gated Reinforcement Learning in Neural Networks - A Unified View.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Using speaker group dependent modelling to improve fusion of fragmentary classifier decisions.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

Multi-view video based tracking and audio-visual identification of persons in a human-computer-interaction scenario.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

2012
Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data.
ACM Trans. Interact. Intell. Syst., 2012

A generic framework for the inference of user states in human computer interaction.
J. Multimodal User Interfaces, 2012

Revisiting AVEC 2011 - An Information Fusion Architecture.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

The Effect of Fuzzy Training Targets on Voice Quality Classification.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2012

Fusion of Fragmentary Classifier Decisions for Affective State Recognition.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2012

Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Atlas - Annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios.
Proceedings of the 11th International Conference on Information Science, 2012

Automatic emotion classification vs. human perception: Comparing machine performance to the human benchmark.
Proceedings of the 11th International Conference on Information Science, 2012

Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Clustering large datasets with kernel methods.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multiple classifier combination using reject options and markov fusion networks.
Proceedings of the International Conference on Multimodal Interaction, 2012

Recognizing Human Activities Using a Layered Markov Architecture.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognition.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2012

On Instance Selection in Audio Based Emotion Recognition.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2012

2011
Classification of Emotional States in a Woz Scenario Exploiting Labeled and Unlabeled Bio-physiological Data.
Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011

Semi-Supervised Kernel Clustering with Sample-to-Cluster Weights.
Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011

Studying Self- and Active-Training Methods for Multi-feature Set Emotion Recognition.
Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011

Incorporating uncertainty in a layered HMM architecture for human activity recognition.
Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding, 2011

Ensemble Methods for Reinforcement Learning with Function Approximation.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Conditioned Hidden Markov Model Fusion for Multimodal Classification.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

A Multi-objective Genetic Algorithm for Pruning Support Vector Machines.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Multimodal Emotion Classification in Naturalistic User Behavior.
Proceedings of the Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments, 2011

Classification of Graph Sequences Utilizing the Eigenvalues of the Distance Matrices and Hidden Markov Models.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

Training of multiple classifier systems utilizing partially labeled sequential data sets.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Multiple Classifier Systems for the Classification of Audio-Visual Emotional States.
Proceedings of the Affective Computing and Intelligent Interaction, 2011

2010
Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training.
Neural Networks, 2010

Combining Committee-Based Semi-Supervised Learning and Active Learning.
J. Comput. Sci. Technol., 2010

When classifier selection meets information theory: A unifying view.
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

Multiple Classifier Systems for the Recogonition of Human Emotions.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

An Open Source Process Engine Framework for Realtime Pattern Recognition and Information Fusion Tasks.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

A Multiple Classifier System Approach for Facial Expressions in Image Sequences Utilizing GMM Supervectors.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs.
Proceedings of the Artificial Neural Networks, 2010

Fuzzification of Agglomerative Hierarchical Crisp Clustering Algorithms.
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

Maximum Echo-State-Likelihood Networks for Emotion Recognition.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

A Hidden Markov Model Based Approach for Facial Expression Recognition in Image Sequences.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

Parallelized Kernel Patch Clustering.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

2009
Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech.
Proceedings of the Artificial Neural Networks, 2009

Semi-supervised Learning for Regression with Co-training by Committee.
Proceedings of the Artificial Neural Networks, 2009

Echo State networks and Neural network Ensembles to predict Sunspots activity.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Multimodal real-time conversation analysis using a novel process engine.
Proceedings of the Affective Computing and Intelligent Interaction, 2009

Multimodal Laughter Detection in Natural Discourses.
Proceedings of the Human Centered Robot Systems, Cognition, Interaction, Technology, 2009

Classifier Fusion Applied to Facial Expression Recognition: An Experimental Comparison.
Proceedings of the Human Centered Robot Systems, Cognition, Interaction, Technology, 2009

2008
Emotion Recognition from Speech Using Multi-Classifier Systems and RBF-Ensembles.
Proceedings of the Speech, 2008

Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees.
Int. J. Softw. Informatics, 2008

Comparison of Neural Classification Algorithms Applied to Land Cover Mapping.
Proceedings of the New Directions in Neural Networks, 2008

Real-Time Emotion Recognition Using Echo State Networks.
Proceedings of the Perception in Multimodal Dialogue Systems, 2008

Emotion Recognition from Speech: Stress Experiment.
Proceedings of the International Conference on Language Resources and Evaluation, 2008

Co-training by Committee: A New Semi-supervised Learning Framework.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training.
Proceedings of the Artificial Neural Networks, 2008

Detecting zebra crossings utilizing AdaBoost.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Multi-View Forests of Tree-Structured Radial Basis Function Networks Based on Dempster-Shafer Evidence Theory.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Learning to play Tetris applying reinforcement learning methods.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Experiments with Supervised Fuzzy LVQ.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

Real-Time Emotion Recognition from Speech Using Echo State Networks.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007
Fuzzy-Input Fuzzy-Output One-Against-All Support Vector Machines.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006
Wizard-of-Oz Data Collection for Perception and Interaction in Multi-User Environments.
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006

Orientation Histograms for Face Recognition.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

On the Effects of Constraints in Semi-supervised Hierarchical Clustering.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

A Study of the Robustness of KNN Classifiers Trained Using Soft Labels.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

2005
Using Dempster-Shafer Theory in MCF Systems to Reject Samples.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Incremental learning in hierarchical neural networks for object recognition.
Proceedings of the ICINCO 2005, 2005

Comparison of Multiclass SVM Decomposition Schemes for Visual Object Recognition.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2004
Classification of bioacoustic time series based on the combination of global and local decisions.
Pattern Recognit., 2004

Classification of Bioacoustic Time Series by Training a Decision Fusion mapping.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
Decision templates for the classification of bioacoustic time series.
Inf. Fusion, 2003

Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series.
Neurocomputing, 2003

Multiple Classifier Systems for the Recognition of Orthoptera Songs.
Proceedings of the Pattern Recognition, 2003

2002
Hierarchical Object Classification for Autonomous Mobile Robots.
Proceedings of the Artificial Neural Networks, 2002

2001
Three learning phases for radial-basis-function networks.
Neural Networks, 2001

Tree-Structured Support Vector Machines for Multi-class Pattern Recognition.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Classification of Time Series Utilizing Temporal and Decision Fusion.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Fusion Architectures for the Classification of Time Series.
Proceedings of the Artificial Neural Networks, 2001

Solving Multi-class Pattern Recognition Problems with Tree-Structured Support Vector Machines.
Proceedings of the Pattern Recognition, 2001

3D object recognition for autonomous mobile robots utilizing support vector classifiers.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Integrating Intelligent Machines with Humans for a Better Tomorrow, 2001

2000
Concurrent Object Identification and Localization for a Mobile Robot.
Künstliche Intell., 2000

Hierarchical support vector machines for multi-class pattern recognition.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Radial-basis-function networks: learning and applications.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

An Algorithm for Adaptive Clustering and Visualisation of Highdimensional Data Sets.
Proceedings of the Computational Intelligence in Data Mining, 2000

1999
Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro-symbolic Integration.
Proceedings of the KI-99: Advances in Artificial Intelligence, 1999

A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling.
Proceedings of the Mustererkennung 1999, 1999

Object classification with simple visual attention and a hierarchical neural network for subsymbolic-symbolic coupling.
Proceedings of the Proceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, 1999

Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter.
Proceedings of the Autonome Mobile Systeme 1999, 1999

1998
Ein hierarchischer neuronaler Klassifikator für die Erkennung von Einzelzeichen in mathematischen Formeltexten.
Proceedings of the Mustererkennung 1998, 20. DAGM-Symposium, Stuttgart, 29. September, 1998

1996
Iterative retrieval of sparsely coded associative memory patterns.
Neural Networks, 1996

1995
Methoden zur Clusteranalyse und Visualisierung hochdimensionaler Datenmengen.
Proceedings of the Mustererkennung 1995, 1995

Klassifikation hochverstärkter EKG Signale durch RBF-Netzwerke.
Proceedings of the Mustererkennung 1995, 1995


  Loading...