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ORCIDFriedhelm Schwenker
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- affiliation: Universität Ulm, Germany
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2020 – today
- 2024
[j70]Yehualashet Megersa Ayano
, Friedhelm Schwenker, Bisrat Derebssa Dufera, Taye Girma Debelee, Yitagesu Getachew Ejegu:
Interpretable Hybrid Multichannel Deep Learning Model for Heart Disease Classification Using 12-Lead ECG Signal. IEEE Access 12: 94055-94080 (2024)- [j69]Fabian Wurzberger, Friedhelm Schwenker:
Learning in Deep Radial Basis Function Networks. Entropy 26(5): 368 (2024) - [j68]Raffaela Groner, Peter Bellmann, Stefan Höppner, Patrick Thiam, Friedhelm Schwenker, Hans A. Kestler, Matthias Tichy:
Enhanced performance prediction of ATL model transformations. Perform. Evaluation 164: 102413 (2024) - [c177]Akash Halder, Sugata Laha, Saptarshi Bandyopadhyay, Friedhelm Schwenker, Ram Sarkar:
A Metaheuristic Optimization Based Deep Feature Selection for Oral Cancer Classification. ANNPR 2024: 132-143 - [c176]Heiko Karus, Friedhelm Schwenker, Michael Munz, Michael Teutsch:
Towards Explainable Visual Vessel Recognition Using Fine-Grained Classification and Image Retrieval. CVPR Workshops 2024: 82-92 - [c175]Sabine Wieluch, Friedhelm Schwenker:
PatternPortrait: Draw Me Like One of Your Scribbles. EvoMUSART 2024: 389-400 - [c174]Christopher M. A. Bonenberger, Markus Schneider, Wolfgang Ertel, Friedhelm Schwenker:
A Note on Linear Time Series Prediction. KI 2024: 30-44 - [c173]Raffaela Groner, Peter Bellmann, Stefan Höppner, Patrick Thiam, Friedhelm Schwenker, Matthias Tichy:
Predicting the Performance of ATL Model Transformations. Software Engineering 2024: 33-34 - [e17]Taye Girma Debelee, Achim Ibenthal, Friedhelm Schwenker, Yehualashet Megersa Ayano:
Pan-African Conference on Artificial Intelligence - Second Conference, PanAfriCon AI 2023, Addis Ababa, Ethiopia, October 5-6, 2023, Revised Selected Papers, Part I. Communications in Computer and Information Science 2068, Springer 2024, ISBN 978-3-031-57623-2 [contents] - [e16]Taye Girma Debelee, Achim Ibenthal, Friedhelm Schwenker, Yehualashet Megersa Ayano:
Pan-African Conference on Artificial Intelligence - Second Conference, PanAfriCon AI 2023, Addis Ababa, Ethiopia, October 5-6, 2023, Revised Selected Papers, Part II. Communications in Computer and Information Science 2069, Springer 2024, ISBN 978-3-031-57638-6 [contents] - [i8]Sabine Wieluch, Friedhelm Schwenker:
PatternPortrait: Draw Me Like One of Your Scribbles. CoRR abs/2401.13001 (2024) - 2023
- [j67]Nikolai A. K. Steur, Friedhelm Schwenker:
Class-Variational Learning With Capsule Networks for Deep Entity-Subspace Clustering. IEEE Access 11: 117368-117384 (2023) - [j66]Ahmed Eid, Friedhelm Schwenker:
Visual Static Hand Gesture Recognition Using Convolutional Neural Network. Algorithms 16(8): 361 (2023) - [j65]Tobias Ricken, Peter Bellmann, Steffen Walter, Friedhelm Schwenker:
Pain Detection in Biophysiological Signals: Knowledge Transfer from Short-Term to Long-Term Stimuli Based on Distance-Specific Segment Selection. Comput. 12(4): 71 (2023) - [j64]Degaga Wolde Feyisa, Yehualashet Megersa Ayano, Taye Girma Debelee, Friedhelm Schwenker:
Weak Localization of Radiographic Manifestations in Pulmonary Tuberculosis from Chest X-ray: A Systematic Review. Sensors 23(15): 6781 (2023) - [j63]Md Haider Zama, Friedhelm Schwenker:
ECG Synthesis via Diffusion-Based State Space Augmented Transformer. Sensors 23(19): 8328 (2023) - [j62]Christopher M. A. Bonenberger, Markus Schneider, Friedhelm Schwenker, Wolfgang Ertel:
A Novel Approach to Spectral Estimation and Moving Average Model Parameter Estimation. IEEE Signal Process. Lett. 30: 1367-1371 (2023) - [c172]Fabian Erlenbusch, Constanze Merkt, Bernardo de Oliveira, Alexander Gatter, Friedhelm Schwenker, Ulrich Klauck, Michael Teutsch:
Thermal Infrared Single Image Dehazing and Blind Image Quality Assessment. CVPR Workshops 2023: 459-469 - [c171]M. Lautaro Hickmann, Arne P. Raulf, Frank Köster, Friedhelm Schwenker, Hans-Martin Rieser:
Potential analysis of a Quantum RL controller in the context of autonomous driving. ESANN 2023 - [c170]Tobias B. Ricken, Peter Bellmann, Sascha Gruss, Hans A. Kestler, Steffen Walter, Friedhelm Schwenker:
Pain Recognition Differences between Female and Male Subjects: An Analysis based on the Physiological Signals of the X-ITE Pain Database. ICMI Companion 2023: 121-130 - [c169]Ahmed Abdalaziz, Friedhelm Schwenker:
Generating Synthetic Brain Tumor Data Using StyleGAN3 for Lower Class Enhancement. PanAfriCon AI (1) 2023: 73-87 - [c168]Khaled Eissa, Friedhelm Schwenker:
Fake vs. Real Face Discrimination Using Convolutional Neural Networks. PanAfriCon AI (2) 2023: 219-241 - [c167]Raffaela Groner, Peter Bellmann, Stefan Höppner, Patrick Thiam, Friedhelm Schwenker, Matthias Tichy:
Predicting the Performance of ATL Model Transformations. ICPE 2023: 77-89 - [e15]Taye Girma Debelee, Achim Ibenthal, Friedhelm Schwenker:
Pan-African Conference on Artificial Intelligence - First Conference, PanAfriCon AI 2022, Addis Ababa, Ethiopia, October 4-5, 2022, Revised Selected Papers. Communications in Computer and Information Science 1800, Springer 2023, ISBN 978-3-031-31326-4 [contents] - 2022
- [j61]Christopher M. A. Bonenberger, Wolfgang Ertel, Friedhelm Schwenker, Markus Schneider:
Singular Spectrum Analysis and Circulant Maximum Variance Frames. Adv. Data Sci. Adapt. Anal. 14(3&4): 2250008:1-2250008:27 (2022) - [j60]Peter Bellmann, Patrick Thiam, Hans A. Kestler, Friedhelm Schwenker:
Machine Learning-Based Pain Intensity Estimation: Where Pattern Recognition Meets Chaos Theory - An Example Based on the BioVid Heat Pain Database. IEEE Access 10: 102770-102777 (2022) - [j59]Christopher M. A. Bonenberger, Friedhelm Schwenker, Wolfgang Ertel, Markus Schneider:
Cyclic Nonlinear Correlation Analysis for Time Series. IEEE Access 10: 114223-114231 (2022) - [j58]Fraol Gelana Waldamichael, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano, Samuel Rahimeto Kebede:
Machine Learning in Cereal Crops Disease Detection: A Review. Algorithms 15(3): 75 (2022) - [j57]Mehmet Erdal, Friedhelm Schwenker:
Learnability of the Boolean Innerproduct in Deep Neural Networks. Entropy 24(8): 1117 (2022) - [j56]Subhrajit Dey, Rajdeep Bhattacharya, Samir Malakar, Friedhelm Schwenker, Ram Sarkar:
CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays. Expert Syst. Appl. 206: 117812 (2022) - [j55]Worku Gachena Negera, Friedhelm Schwenker, Taye Girma Debelee, Henock Mulugeta Melaku, Yehualashet Megeresa Ayano:
Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning. Sensors 22(24): 9837 (2022) - [c166]Patrick Thiam, Hans A. Kestler, Friedhelm Schwenker:
Deep Learning Architectures for Pain Recognition Based on Physiological Signals. ICPR Workshops (1) 2022: 349-358 - [c165]Tobias Ricken, Peter Bellmann, Steffen Walter, Friedhelm Schwenker:
Pain Detection in Biophysiological Signals: Transfer Learning from Short-Term to Long-Term Stimuli Based on Signal Segmentation. ICPR Workshops (1) 2022: 394-404 - [c164]Patrick Feifel, Benedikt Franke, Arne P. Raulf, Friedhelm Schwenker, Frank Bonarens, Frank Köster:
Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection. AISafety@IJCAI 2022 - [c163]Shehabeldin Solyman, Friedhelm Schwenker:
Lung Tumor Detection and Recognition Using Deep Convolutional Neural Networks. PanAfriCon AI 2022: 79-91 - [c162]Marwan Farag, Friedhelm Schwenker:
Using Generative Adversarial Networks for Single Image Super-Resolution. PanAfriCon AI 2022: 154-168 - [c161]Christopher M. A. Bonenberger, Wolfgang Ertel, Markus Schneider, Friedhelm Schwenker:
Structured Nonlinear Discriminant Analysis. ECML/PKDD (1) 2022: 38-54 - [i7]Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann:
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis. CoRR abs/2208.09408 (2022) - [i6]Mohammadreza Amirian, Friedhelm Schwenker:
Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability. CoRR abs/2208.11401 (2022) - [i5]Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann:
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps. CoRR abs/2208.11436 (2022) - 2021
- [j54]Nikolai A. K. Steur, Friedhelm Schwenker:
Next-Generation Neural Networks: Capsule Networks With Routing-by-Agreement for Text Classification. IEEE Access 9: 125269-125299 (2021) - [j53]Subhrajit Dey, Rajdeep Bhattacharya, Friedhelm Schwenker, Ram Sarkar:
Median Filter Aided CNN Based Image Denoising: An Ensemble Approach. Algorithms 14(4): 109 (2021) - [j52]Arne Groß, Antonia Lenders, Friedhelm Schwenker, Daniel A. Braun, David Fischer:
Comparison of short-term electrical load forecasting methods for different building types. Energy Inform. 4(S3) (2021) - [j51]Samuel Rahimeto, Taye Girma Debelee, Dereje Yohannes, Friedhelm Schwenker:
Automatic pectoral muscle removal in mammograms. Evol. Syst. 12(2): 519-526 (2021) - [j50]Erena Siyoum Biratu, Friedhelm Schwenker, Taye Girma Debelee, Samuel Rahimeto Kebede, Worku Gachena Negera, Hasset Tamirat Molla:
Enhanced Region Growing for Brain Tumor MR Image Segmentation. J. Imaging 7(2): 22 (2021) - [j49]Erena Siyoum Biratu, Friedhelm Schwenker, Yehualashet Megersa, Taye Girma Debelee:
A Survey of Brain Tumor Segmentation and Classification Algorithms. J. Imaging 7(9): 179 (2021) - [j48]Soumya Deep Roy, Soham Das, Devroop Kar, Friedhelm Schwenker, Ram Sarkar:
Computer Aided Breast Cancer Detection Using Ensembling of Texture and Statistical Image Features. Sensors 21(11): 3628 (2021) - [j47]Debadyuti Mukherjee, Koustav Dhar, Friedhelm Schwenker, Ram Sarkar:
Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study. Sensors 21(16): 5425 (2021) - [j46]Patrick Thiam, Viktor Kessler, Mohammadreza Amirian, Peter Bellmann, Georg Layher, Yan Zhang, Maria Velana, Sascha Gruss, Steffen Walter, Harald C. Traue, Daniel Schork, Jonghwa Kim, Elisabeth André, Heiko Neumann, Friedhelm Schwenker:
Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database. IEEE Trans. Affect. Comput. 12(3): 743-760 (2021) - [c160]Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann:
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis. CISP-BMEI 2021: 1-7 - [c159]Sabine Wieluch, Friedhelm Schwenker:
Co-creative Drawing with One-Shot Generative Models. EvoMUSART 2021: 475-489 - [c158]Peter Bellmann, Heinke Hihn, Daniel A. Braun, Friedhelm Schwenker:
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts. ICAART (2) 2021: 724-731 - [c157]Friedhelm Schwenker:
Keynote: Machine learning and data analysis of multimodal affective and pain data. PerCom Workshops 2021: 452 - 2020
- [j45]Mohammadreza Amirian, Friedhelm Schwenker:
Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability. IEEE Access 8: 123087-123097 (2020) - [j44]Peter Bellmann, Friedhelm Schwenker:
Ordinal Classification: Working Definition and Detection of Ordinal Structures. IEEE Access 8: 164380-164391 (2020) - [j43]Shameem Ahmed, Kushal Kanti Ghosh, Suman Kumar Bera, Friedhelm Schwenker, Ram Sarkar:
Gray Level Image Contrast Enhancement Using Barnacles Mating Optimizer. IEEE Access 8: 169196-169214 (2020) - [j42]Taye Girma Debelee, Friedhelm Schwenker, Achim Ibenthal, Dereje Yohannes:
Survey of deep learning in breast cancer image analysis. Evol. Syst. 11(1): 143-163 (2020) - [j41]Taye Girma Debelee, Samuel Rahimeto Kebede, Friedhelm Schwenker, Zemene Matewos Shewarega:
Deep Learning in Selected Cancers' Image Analysis - A Survey. J. Imaging 6(11): 121 (2020) - [j40]Shibaprasad Sen, Shubham Chowdhury, Mridul Mitra, Friedhelm Schwenker, Ram Sarkar, Kaushik Roy:
A novel segmentation technique for online handwritten Bangla words. Pattern Recognit. Lett. 139: 26-33 (2020) - [j39]Patrick Thiam, Hans A. Kestler, Friedhelm Schwenker:
Two-Stream Attention Network for Pain Recognition from Video Sequences. Sensors 20(3): 839 (2020) - [j38]Dilana Hazer-Rau, Sascha Meudt, Andreas Daucher, Jennifer Spohrs, Holger Hoffmann, Friedhelm Schwenker, Harald C. Traue:
The uulmMAC Database - A Multimodal Affective Corpus for Affective Computing in Human-Computer Interaction. Sensors 20(8): 2308 (2020) - [c156]Tobias Ricken, Adrian Steinert, Peter Bellmann, Steffen Walter, Friedhelm Schwenker:
Feature Extraction: A Time Window Analysis Based on the X-ITE Pain Database. ANNPR 2020: 138-148 - [c155]Peter Bellmann, Patrick Thiam, Friedhelm Schwenker:
Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario. ANNPR 2020: 149-161 - [c154]Jasmin Dalferth, Sven Winkelmann, Friedhelm Schwenker:
Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools. ANNPR 2020: 223-234 - [c153]Peter Bellmann, Patrick Thiam, Friedhelm Schwenker:
Automatic Pain Intensity Recognition: Training Set Selection based on Outliers and Centroids. ESANN 2020: 649-654 - [c152]Rajdeep Bhattacharya, Samir Malakar, Friedhelm Schwenker, Ram Sarkar:
Fuzzy-Based Pseudo Segmentation Approach for Handwritten Word Recognition Using a Sequence to Sequence Model with Attention. ICPR Workshops (2) 2020: 582-596 - [c151]Peter Bellmann, Ludwig Lausser, Hans A. Kestler, Friedhelm Schwenker:
Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario. ICPR Workshops (6) 2020: 773-787 - [c150]Youssef Wally, Yara Samaha, Ziad Yasser, Steffen Walter, Friedhelm Schwenker:
Personalized k-fold Cross-Validation Analysis with Transfer from Phasic to Tonic Pain Recognition on X-ITE Pain Database. ICPR Workshops (6) 2020: 788-802 - [c149]Peter Bellmann, Patrick Thiam, Friedhelm Schwenker:
Using Meta Labels for the Training of Weighting Models in a Sample-Specific Late Fusion Classification Architecture. ICPR 2020: 2604-2611 - [c148]Anuran Chakraborty, Rajonya De, Samir Malakar, Friedhelm Schwenker, Ram Sarkar:
Handwritten Digit String Recognition using Deep Autoencoder based Segmentation and ResNet based Recognition Approach. ICPR 2020: 7737-7742 - [c147]Nadeen Shoukry, Omar Elkilany, Patrick Thiam, Viktor Kessler, Friedhelm Schwenker:
Subject-independent Pain Recognition using Physiological Signals and Para-linguistic Vocalizations. ICPRAM 2020: 142-150 - [c146]Patrick Thiam, Hans A. Kestler, Friedhelm Schwenker:
Multimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signals. ICPRAM 2020: 289-296 - [c145]Peter Bellmann, Patrick Thiam, Friedhelm Schwenker:
Person Identification based on Physiological Signals: Conditions and Risks. ICPRAM 2020: 373-380 - [c144]Peter Bellmann, Patrick Thiam, Friedhelm Schwenker:
Dominant Channel Fusion Architectures - An Intelligent Late Fusion Approach. IJCNN 2020: 1-8 - [c143]Peter Bellmann, Friedhelm Schwenker:
Automated Pain Assessment: Is it Useful to Combine Person-Specific Data Samples? SSCI 2020: 1588-1593 - [c142]Peter Bellmann, Ludwig Lausser, Hans A. Kestler, Friedhelm Schwenker:
Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades. S+SSPR 2020: 55-64 - [c141]Mohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann:
Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness. TAILOR 2020: 268-275 - [i4]Sabine Wieluch, Friedhelm Schwenker:
StrokeCoder: Path-Based Image Generation from Single Examples using Transformers. CoRR abs/2003.11958 (2020) - [i3]Peter Bellmann, Heinke Hihn, Daniel A. Braun, Friedhelm Schwenker:
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts. CoRR abs/2011.14764 (2020)
2010 – 2019
- 2019
- [j37]Taye Girma Debelee, Friedhelm Schwenker, Samuel Rahimeto, Dereje Yohannes:
Evaluation of modified adaptive k-means segmentation algorithm. Comput. Vis. Media 5(4): 347-361 (2019) - [j36]Günther Palm, Friedhelm Schwenker:
Artificial Development by Reinforcement Learning Can Benefit From Multiple Motivations. Frontiers Robotics AI 6: 6 (2019) - [j35]Shibaprasad Sen, Mridul Mitra, Ankan Bhattacharyya, Ram Sarkar, Friedhelm Schwenker, Kaushik Roy:
Feature Selection for Recognition of Online Handwritten Bangla Characters. Neural Process. Lett. 50(3): 2281-2304 (2019) - [j34]Patrick Thiam, Peter Bellmann, Hans A. Kestler, Friedhelm Schwenker:
Exploring Deep Physiological Models for Nociceptive Pain Recognition. Sensors 19(20): 4503 (2019) - [j33]Karan Sharma, Marius Wagner, Claudio Castellini, Egon L. van den Broek, Freek Stulp, Friedhelm Schwenker:
A functional data analysis approach for continuous 2-D emotion annotations. Web Intell. 17(1): 41-52 (2019) - [c140]Peter Bellmann, Patrick Thiam, Friedhelm Schwenker:
Using a Quartile-based Data Transformation for Pain Intensity Classification based on the SenseEmotion Database. ACII Workshops 2019: 310-316 - [c139]Nikolai Kalischek, Patrick Thiam, Peter Bellmann, Friedhelm Schwenker:
Deep Domain Adaptation for Facial Expression Analysis. ACII Workshops 2019: 317-323 - [c138]Anuran Chakraborty, Rajonya De, Agneet Chatterjee, Friedhelm Schwenker, Ram Sarkar:
Filter Method Ensemble with Neural Networks. ICANN (2) 2019: 755-765 - [c137]Sabine Wieluch, Friedhelm Schwenker:
Dropout Induced Noise for Co-Creative GAN Systems. ICCV Workshops 2019: 3137-3140 - [e14]Friedhelm Schwenker, Stefan Scherer:
Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction - 5th IAPR TC 9 Workshop, MPRSS 2018, Beijing, China, August 20, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11377, Springer 2019, ISBN 978-3-030-20983-4 [contents] - [i2]Sabine Wieluch, Friedhelm Schwenker:
Dropout Induced Noise for Co-Creative GAN Systems. CoRR abs/1909.04474 (2019) - 2018
- [j32]Edmondo Trentin, Friedhelm Schwenker, Neamat El Gayar, Hazem M. Abbas:
Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition. Neural Process. Lett. 48(2): 643-648 (2018) - [j31]Patrick Thiam, Sascha Meudt, Günther Palm, Friedhelm Schwenker:
A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection. Neural Process. Lett. 48(2): 709-732 (2018) - [c136]Ludwig Lausser, Robin Szekely, Viktor Kessler, Friedhelm Schwenker, Hans A. Kestler:
Selecting Features from Foreign Classes. ANNPR 2018: 66-77 - [c135]Adrián T. Ruiz, Patrick Thiam, Friedhelm Schwenker, Günther Palm:
A k -Nearest Neighbor Based Algorithm for Multi-Instance Multi-Label Active Learning. ANNPR 2018: 139-151 - [c134]Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann:
Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps. ANNPR 2018: 346-358 - [c133]Adrián T. Ruiz, Julian Equihua, Santiago Martínez, Everardo Robredo, Günther Palm, Friedhelm Schwenker:
Detection of Bat Acoustics Signals Using Voice Activity Detection Techniques with Random Forests Classification. CIARP 2018: 253-261 - [c132]Patrick Thiam, Friedhelm Schwenker:
Combining Deep and Hand-Crafted Features for Audio-Based Pain Intensity Classification. MPRSS 2018: 49-58 - [c131]Venkatesh Srinivasan, Sascha Meudt, Friedhelm Schwenker:
Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers. MPRSS 2018: 59-70 - [c130]Danila Mamontov, Iana Polonskaia, Alina Skorokhod, Eugene Semenkin, Viktor Kessler, Friedhelm Schwenker:
Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain Intensity. MPRSS 2018: 84-100 - [c129]Jan Sellner, Patrick Thiam, Friedhelm Schwenker:
Visualizing Facial Expression Features of Pain and Emotion Data. MPRSS 2018: 101-115 - [e13]Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin:
Artificial Neural Networks in Pattern Recognition - 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19-21, 2018, Proceedings. Lecture Notes in Computer Science 11081, Springer 2018, ISBN 978-3-319-99977-7 [contents] - [i1]Karan Sharma, Claudio Castellini, Egon L. van den Broek, Alin Albu-Schäffer, Friedhelm Schwenker:
A dataset of continuous affect annotations and physiological signals for emotion analysis. CoRR abs/1812.02782 (2018) - 2017
- [j30]Markus Kächele, Mohammadreza Amirian, Patrick Thiam, Philipp Werner, Steffen Walter, Günther Palm, Friedhelm Schwenker:
Adaptive confidence learning for the personalization of pain intensity estimation systems. Evol. Syst. 8(1): 71-83 (2017) - [c128]Viktor Kessler, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker:
Multimodal fusion including camera photoplethysmography for pain recognition. ICCT 2017: 1-4 - [c127]Patrick Thiam, Viktor Kessler, Friedhelm Schwenker:
Hierarchical Combination of Video Features for Personalised Pain Level Recognition. ESANN 2017 - [c126]Mohammadreza Amirian, Markus Kächele, Günther Palm, Friedhelm Schwenker:
Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation. FG 2017: 854-859 - [c125]Taye Girma Debelee, Mohammadreza Amirian, Achim Ibenthal, Günther Palm, Friedhelm Schwenker:
Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction. ICT4DA 2017: 89-98 - [c124]Viktor Kessler, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker:
Pain recognition with camera photoplethysmography. IPTA 2017: 1-5 - [c123]Patrick Thiam, Friedhelm Schwenker:
Multi-modal data fusion for pain intensity assessment and classification. IPTA 2017: 1-6 - [p9]Friedhelm Schwenker, Ronald Böck, Martin Schels, Sascha Meudt, Ingo Siegert, Michael Glodek, Markus Kächele, Miriam Schmidt-Wack, Patrick Thiam, Andreas Wendemuth, Gerald Krell:
Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems. Companion Technology 2017: 387-408 - [p8]Andreas Wendemuth, Bogdan Vlasenko, Ingo Siegert, Ronald Böck, Friedhelm Schwenker, Günther Palm:
Emotion Recognition from Speech. Companion Technology 2017: 409-428 - [p7]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, Günther Palm, Friedhelm Schwenker, Andreas Wendemuth:
Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System. Companion Technology 2017: 493-500 - [e12]Friedhelm Schwenker, Stefan Scherer:
Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction - 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10183, Springer 2017, ISBN 978-3-319-59258-9 [contents] - 2016
- [j29]Markus Kächele, Martin Schels, Friedhelm Schwenker:
The Influence of Annotation, Corpus Design, and Evaluation on the Outcome of Automatic Classification of Human Emotions. Frontiers ICT 3: 27 (2016) - [j28]Markus Kächele, Martin Schels, Sascha Meudt, Günther Palm, Friedhelm Schwenker:
Revisiting the EmotiW challenge: how wild is it really? J. Multimodal User Interfaces 10(2): 151-162 (2016) - [j27]Markus Kächele, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker, Günther Palm:
Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels. IEEE J. Sel. Top. Signal Process. 10(5): 854-864 (2016) - [c122]Mohammadreza Amirian, Markus Kächele, Friedhelm Schwenker:
Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals. ANNPR 2016: 269-284 - [c121]Patrick Thiam, Sascha Meudt, Friedhelm Schwenker, Günther Palm:
Active Learning for Speech Event Detection in HCI. ANNPR 2016: 285-297 - [c120]Mehmet Erdal, Markus Kächele, Friedhelm Schwenker:
Emotion Recognition in Speech with Deep Learning Architectures. ANNPR 2016: 298-311 - [c119]Heinke Hihn, Sascha Meudt, Friedhelm Schwenker:
On Gestures and Postural Behavior as a Modality in Ensemble Methods. ANNPR 2016: 312-323 - [c118]Viktor Kessler, Markus Kächele, Sascha Meudt, Friedhelm Schwenker, Günther Palm:
Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain. ANNPR 2016: 324-334 - [c117]Heinke Hihn, Sascha Meudt, Friedhelm Schwenker:
Inferring mental overload based on postural behavior and gestures. ERM4CT@ICMI 2016: 3:1-3:4 - [c116]Mohammadreza Amirian, Markus Kächele, Patrick Thiam, Viktor Kessler, Friedhelm Schwenker:
Continuous Multimodal Human Affect Estimation using Echo State Networks. AVEC@ACM Multimedia 2016: 67-74 - [c115]Dennis Held, Sascha Meudt, Friedhelm Schwenker:
Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes. MPRSS 2016: 12-23 - [c114]Daniel Kindsvater, Sascha Meudt, Friedhelm Schwenker:
Fusion Architectures for Multimodal Cognitive Load Recognition. MPRSS 2016: 36-47 - [c113]Patrick Thiam, Viktor Kessler, Steffen Walter, Günther Palm, Friedhelm Schwenker:
Audio-Visual Recognition of Pain Intensity. MPRSS 2016: 110-126 - [c112]Maria Velana, Sascha Gruss, Georg Layher, Patrick Thiam, Yan Zhang, Daniel Schork, Viktor Kessler, Sascha Meudt, Heiko Neumann, Jonghwa Kim, Friedhelm Schwenker, Elisabeth André, Harald C. Traue, Steffen Walter:
The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System. MPRSS 2016: 127-139 - [p6]Sascha Meudt, Miriam Schmidt-Wack, Frank Honold, Felix Schüssel, Michael Weber, Friedhelm Schwenker, Günther Palm:
Going Further in Affective Computing: How Emotion Recognition Can Improve Adaptive User Interaction. Toward Robotic Socially Believable Behaving Systems (I) 2016: 73-103 - [e11]Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin:
Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings. Lecture Notes in Computer Science 9896, Springer 2016, ISBN 978-3-319-46181-6 [contents] - 2015
- [j26]Michael Glodek, Frank Honold, Thomas Geier, Gerald Krell, Florian Nothdurft, Stephan Reuter, Felix Schüssel, Thilo Hörnle, Klaus Dietmayer, Wolfgang Minker, Susanne Biundo, Michael Weber, Günther Palm, Friedhelm Schwenker:
Fusion paradigms in cognitive technical systems for human-computer interaction. Neurocomputing 161: 17-37 (2015) - [j25]Stefan Faußer, Friedhelm Schwenker:
Selective neural network ensembles in reinforcement learning: Taking the advantage of many agents. Neurocomputing 169: 350-357 (2015) - [j24]Stefan Faußer, Friedhelm Schwenker:
Neural Network Ensembles in Reinforcement Learning. Neural Process. Lett. 41(1): 55-69 (2015) - [j23]Friedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency:
Preface of pattern recognition in human computer interaction. Pattern Recognit. Lett. 66: 1-3 (2015) - [j22]Edmondo Trentin, Stefan Scherer, Friedhelm Schwenker:
Emotion recognition from speech signals via a probabilistic echo-state network. Pattern Recognit. Lett. 66: 4-12 (2015) - [c111]Viktor Kessler, Martin Schels, Markus Kächele, Guenther Palm, Friedhelm Schwenker:
On the effects of continuous annotation tools and the human factor on the annotation outcome. ISCT 2015: 174-180 - [c110]Sascha Meudt, Friedhelm Schwenker:
ATLAS - Machine learning based annnotation of multimodal data recorded in human-computer interaction scenarios. ISCT 2015: 181-186 - [c109]Markus Kächele, Patrick Thiam, Mohammadreza Amirian, Philipp Werner, Steffen Walter, Friedhelm Schwenker, Günther Palm:
Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity. EANN 2015: 275-285 - [c108]Markus Kächele, Günther Palm, Friedhelm Schwenker:
SMO Lattices for the Parallel Training of Support Vector Machines. ESANN 2015 - [c107]Markus Kächele, Stefanie Rukavina, Günther Palm, Friedhelm Schwenker, Martin Schels:
Paradigms for the Construction and Annotation of Emotional Corpora for Real-world Human-Computer-Interaction. ICPRAM (1) 2015: 367-373 - [c106]Markus Kächele, Philipp Werner, Ayoub Al-Hamadi, Günther Palm, Steffen Walter, Friedhelm Schwenker:
Bio-Visual Fusion for Person-Independent Recognition of Pain Intensity. MCS 2015: 220-230 - [c105]Markus Kächele, Patrick Thiam, Günther Palm, Friedhelm Schwenker, Martin Schels:
Ensemble Methods for Continuous Affect Recognition: Multi-modality, Temporality, and Challenges. AVEC@ACM Multimedia 2015: 9-16 - [c104]Steffen Walter, Sascha Gruss, Harald C. Traue, Philipp Werner, Ayoub Al-Hamadi, Markus Kächele, Friedhelm Schwenker, Adriano de Oliveira Andrade, Gustavo Moreira:
Data fusion for automated pain recognition. PervasiveHealth 2015: 261-264 - [c103]Markus Kächele, Martin Schels, Patrick Thiam, Friedhelm Schwenker:
Fusion Mappings for Multimodal Affect Recognition. SSCI 2015: 307-313 - [c102]Patrick Thiam, Markus Kächele, Friedhelm Schwenker, Guenther Palm:
Ensembles of Support Vector Data Description for Active Learning Based Annotation of Affective Corpora. SSCI 2015: 1801-1807 - [e10]Friedhelm Schwenker, Fabio Roli, Josef Kittler:
Multiple Classifier Systems - 12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015, Proceedings. Lecture Notes in Computer Science 9132, Springer 2015, ISBN 978-3-319-20247-1 [contents] - [e9]Friedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency:
Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction - Third IAPR TC3 Workshop, MPRSS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8869, Springer 2015, ISBN 978-3-319-14898-4 [contents] - 2014
- [j21]Miriam Schmidt, Günther Palm, Friedhelm Schwenker:
Spectral graph features for the classification of graphs and graph sequences. Comput. Stat. 29(1): 65-80 (2014) - [j20]Martin Schels, Markus Kächele, Michael Glodek, David Hrabal, Steffen Walter, Friedhelm Schwenker:
Using unlabeled data to improve classification of emotional states in human computer interaction. J. Multimodal User Interfaces 8(1): 5-16 (2014) - [j19]Michael Glodek, Martin Schels, Friedhelm Schwenker, Günther Palm:
Combination of sequential class distributions from multiple channels using Markov fusion networks. J. Multimodal User Interfaces 8(3): 257-272 (2014) - [j18]Friedhelm Schwenker, Edmondo Trentin:
Partially supervised learning for pattern recognition. Pattern Recognit. Lett. 37: 1-3 (2014) - [j17]Friedhelm Schwenker, Edmondo Trentin:
Pattern classification and clustering: A review of partially supervised learning approaches. Pattern Recognit. Lett. 37: 4-14 (2014) - [j16]Stefan Faußer, Friedhelm Schwenker:
Semi-supervised clustering of large data sets with kernel methods. Pattern Recognit. Lett. 37: 78-84 (2014) - [c101]Markus Kächele, Patrick Thiam, Günther Palm, Friedhelm Schwenker:
Majority-Class Aware Support Vector Domain Oversampling for Imbalanced Classification Problems. ANNPR 2014: 83-92 - [c100]Friedhelm Schwenker, Markus Frey, Michael Glodek, Markus Kächele, Sascha Meudt, Martin Schels, Miriam Schmidt:
A New Multi-class Fuzzy Support Vector Machine Algorithm. ANNPR 2014: 153-164 - [c99]Patrick Thiam, Viktor Kessler, Friedhelm Schwenker:
A Reinforcement Learning Algorithm to Train a Tetris Playing Agent. ANNPR 2014: 165-170 - [c98]Robert Retz, Friedhelm Schwenker:
Active Multi-Instance Multi-Label Learning. ECDA 2014: 91-101 - [c97]Stefan Faußer, Friedhelm Schwenker:
Selective Neural Network Ensembles in Reinforcement Learning. ESANN 2014 - [c96]Patrick Thiam, Sascha Meudt, Markus Kächele, Günther Palm, Friedhelm Schwenker:
Detection of Emotional Events utilizing Support Vector Methods in an Active Learning HCI Scenario. ERM4HCI@ICMI 2014: 31-36 - [c95]Sascha Meudt, Friedhelm Schwenker:
Enhanced Autocorrelation in Real World Emotion Recognition. ICMI 2014: 502-507 - [c94]Markus Kächele, Dimitri Zharkov, Sascha Meudt, Friedhelm Schwenker:
Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition. ICPR 2014: 803-808 - [c93]Markus Kächele, Friedhelm Schwenker:
Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition. ICPR 2014: 4660-4665 - [c92]Markus Kächele, Michael Glodek, Dimitri Zharkov, Sascha Meudt, Friedhelm Schwenker:
Fusion of Audio-visual Features using Hierarchical Classifier Systems for the Recognition of Affective States and the State of Depression. ICPRAM 2014: 671-678 - [c91]Markus Kächele, Martin Schels, Sascha Meudt, Viktor Kessler, Michael Glodek, Patrick Thiam, Stephan Tschechne, Günther Palm, Friedhelm Schwenker:
On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction. MA3HMI@INTERSPEECH 2014: 35-44 - [c90]Markus Kächele, Martin Schels, Friedhelm Schwenker:
Inferring Depression and Affect from Application Dependent Meta Knowledge. AVEC@MM 2014: 41-48 - [c89]Markus Kächele, Günther Palm, Friedhelm Schwenker:
Monte Carlo Based Importance Estimation of Localized Feature Descriptors for the Recognition of Facial Expressions. MPRSS 2014: 34-42 - [c88]Michael Glodek, Georg Layher, Felix Heilemann, Florian Gawrilowicz, Günther Palm, Friedhelm Schwenker, Heiko Neumann:
uulmMAD - A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances. MPRSS 2014: 77-91 - [c87]Markus Kächele, Sascha Meudt, Andrej Schwarz, Friedhelm Schwenker:
Audio-Visual User Identification in HCI Scenarios. MPRSS 2014: 113-122 - [e8]Neamat El Gayar, Friedhelm Schwenker, Cheng Suen:
Artificial Neural Networks in Pattern Recognition - 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014. Proceedings. Lecture Notes in Computer Science 8774, Springer 2014, ISBN 978-3-319-11655-6 [contents] - 2013
- [j15]Friedhelm Schwenker:
Ensemble Methods: Foundations and Algorithms [Book Review]. IEEE Comput. Intell. Mag. 8(1): 77-79 (2013) - [j14]Stefan Scherer, John Kane, Christer Gobl, Friedhelm Schwenker:
Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification. Comput. Speech Lang. 27(1): 263-287 (2013) - [j13]Martin Schels, Stefan Scherer, Michael Glodek, Hans A. Kestler, Günther Palm, Friedhelm Schwenker:
On the discovery of events in EEG data utilizing information fusion. Comput. Stat. 28(1): 5-18 (2013) - [j12]Michael Glodek, Martin Schels, Friedhelm Schwenker:
Ensemble Gaussian mixture models for probability density estimation. Comput. Stat. 28(1): 127-138 (2013) - [c86]Sascha Meudt, Michael Glodek, Martin Schels, Friedhelm Schwenker:
Multi-view video based tracking and audio-visual identification of persons in a human-computer-interaction scenario. CYBCONF 2013: 116-121 - [c85]Ingo Siegert, Michael Glodek, Axel Panning, Gerald Krell, Friedhelm Schwenker, Ayoub Al-Hamadi, Andreas Wendemuth:
Using speaker group dependent modelling to improve fusion of fragmentary classifier decisions. CYBCONF 2013: 132-137 - [c84]Tobias Brosch, Friedhelm Schwenker, Heiko Neumann:
Attention-Gated Reinforcement Learning in Neural Networks - A Unified View. ICANN 2013: 272-279 - [c83]Sascha Meudt, Dimitri Zharkov, Markus Kächele, Friedhelm Schwenker:
Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech. ICMI 2013: 551-556 - [c82]Michael Glodek, Thomas Geier, Susanne Biundo, Friedhelm Schwenker, Günther Palm:
Recognizing User Preferences Based on Layered Activity Recognition and First-Order Logic. ICTAI 2013: 648-653 - [c81]Michael Glodek, Edmondo Trentin, Friedhelm Schwenker, Günther Palm:
Hidden Markov models with graph densities for action recognition. IJCNN 2013: 1-6 - [c80]Michael Glodek, Stephan Reuter, Martin Schels, Klaus Dietmayer, Friedhelm Schwenker:
Kalman Filter Based Classifier Fusion for Affective State Recognition. MCS 2013: 85-94 - [c79]Markus Kächele, Friedhelm Schwenker:
Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition. PSL 2013: 21-35 - [c78]Michel Tokic, Friedhelm Schwenker, Günther Palm:
Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces. PSL 2013: 68-79 - [p5]Mohamed Farouk Abdel Hady, Friedhelm Schwenker:
Semi-supervised Learning. Handbook on Neural Information Processing 2013: 215-239 - [e7]Friedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency:
Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction - First IAPR TC3 Workshop, MPRSS 2012, Tsukuba, Japan, November 11, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7742, Springer 2013, ISBN 978-3-642-37080-9 [contents] - [e6]Zhi-Hua Zhou, Friedhelm Schwenker:
Partially Supervised Learning - Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013 Revised Selected Papers. Lecture Notes in Computer Science 8183, Springer 2013, ISBN 978-3-642-40704-8 [contents] - 2012
- [j11]Stefan Scherer, Michael Glodek, Georg Layher, Martin Schels, Miriam Schmidt, Tobias Brosch, Stephan Tschechne, Friedhelm Schwenker, Heiko Neumann, Günther Palm:
A generic framework for the inference of user states in human computer interaction. J. Multimodal User Interfaces 6(3-4): 117-141 (2012) - [j10]Stefan Scherer, Michael Glodek, Friedhelm Schwenker, Nick Campbell, Günther Palm:
Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data. ACM Trans. Interact. Intell. Syst. 2(1): 4:1-4:31 (2012) - [c77]Miriam Schmidt, Günther Palm, Friedhelm Schwenker:
On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognition. ANNPR 2012: 104-114 - [c76]Sascha Meudt, Friedhelm Schwenker:
On Instance Selection in Audio Based Emotion Recognition. ANNPR 2012: 186-192 - [c75]Michael Glodek, Georg Layher, Friedhelm Schwenker, Günther Palm:
Recognizing Human Activities Using a Layered Markov Architecture. ICANN (1) 2012: 677-684 - [c74]Michael Glodek, Martin Schels, Günther Palm, Friedhelm Schwenker:
Multiple classifier combination using reject options and markov fusion networks. ICMI 2012: 465-472 - [c73]Stefan Faußer, Friedhelm Schwenker:
Clustering large datasets with kernel methods. ICPR 2012: 501-504 - [c72]Michael Glodek, Martin Schels, Günther Palm, Friedhelm Schwenker:
Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks. ICPR 2012: 1084-1087 - [c71]José Esparza, Stefan Scherer, André Brechmann, Friedhelm Schwenker:
Automatic emotion classification vs. human perception: Comparing machine performance to the human benchmark. ISSPA 2012: 1253-1258 - [c70]Sascha Meudt, Lutz Bigalke, Friedhelm Schwenker:
Atlas - Annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios. ISSPA 2012: 1309-1312 - [c69]Michael Glodek, Friedhelm Schwenker, Günther Palm:
Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition. MLDM 2012: 394-404 - [c68]Stefan Scherer, John Kane, Christer Gobl, Friedhelm Schwenker:
The Effect of Fuzzy Training Targets on Voice Quality Classification. MPRSS 2012: 43-51 - [c67]Gerald Krell, Michael Glodek, Axel Panning, Ingo Siegert, Bernd Michaelis, Andreas Wendemuth, Friedhelm Schwenker:
Fusion of Fragmentary Classifier Decisions for Affective State Recognition. MPRSS 2012: 116-130 - [c66]Martin Schels, Michael Glodek, Friedhelm Schwenker, Günther Palm:
Revisiting AVEC 2011 - An Information Fusion Architecture. WIRN 2012: 385-393 - [e5]Nadia Mana, Friedhelm Schwenker, Edmondo Trentin:
Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings. Lecture Notes in Computer Science 7477, Springer 2012, ISBN 978-3-642-33211-1 [contents] - [e4]Friedhelm Schwenker, Edmondo Trentin:
Partially Supervised Learning - First IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7081, Springer 2012, ISBN 978-3-642-28257-7 [contents] - 2011
- [c65]Michael Glodek, Stephan Tschechne, Georg Layher, Martin Schels, Tobias Brosch, Stefan Scherer, Markus Kächele, Miriam Schmidt, Heiko Neumann, Günther Palm, Friedhelm Schwenker:
Multiple Classifier Systems for the Classification of Audio-Visual Emotional States. ACII (2) 2011: 359-368 - [c64]Martin Schels, Patrick Schillinger, Friedhelm Schwenker:
Training of multiple classifier systems utilizing partially labeled sequential data sets. ESANN 2011 - [c63]Miriam Schmidt, Friedhelm Schwenker:
Classification of Graph Sequences Utilizing the Eigenvalues of the Distance Matrices and Hidden Markov Models. GbRPR 2011: 325-334 - [c62]Steffen Walter, Stefan Scherer, Martin Schels, Michael Glodek, David Hrabal, Miriam Schmidt, Ronald Böck, Kerstin Limbrecht, Harald C. Traue, Friedhelm Schwenker:
Multimodal Emotion Classification in Naturalistic User Behavior. HCI (3) 2011: 603-611 - [c61]Mohamed Farouk Abdel Hady, Wesam Herbawi, Michael Weber, Friedhelm Schwenker:
A Multi-objective Genetic Algorithm for Pruning Support Vector Machines. ICTAI 2011: 269-275 - [c60]Michael Glodek, Stefan Scherer, Friedhelm Schwenker:
Conditioned Hidden Markov Model Fusion for Multimodal Classification. INTERSPEECH 2011: 2269-2272 - [c59]Stefan Faußer, Friedhelm Schwenker:
Ensemble Methods for Reinforcement Learning with Function Approximation. MCS 2011: 56-65 - [c58]Michael Glodek, Lutz Bigalke, Martin Schels, Friedhelm Schwenker:
Incorporating uncertainty in a layered HMM architecture for human activity recognition. J-HGBU@MM 2011: 33-34 - [c57]José Esparza, Stefan Scherer, Friedhelm Schwenker:
Studying Self- and Active-Training Methods for Multi-feature Set Emotion Recognition. PSL 2011: 19-31 - [c56]Stefan Faußer, Friedhelm Schwenker:
Semi-Supervised Kernel Clustering with Sample-to-Cluster Weights. PSL 2011: 72-81 - [c55]Martin Schels, Markus Kächele, David Hrabal, Steffen Walter, Harald C. Traue, Friedhelm Schwenker:
Classification of Emotional States in a Woz Scenario Exploiting Labeled and Unlabeled Bio-physiological Data. PSL 2011: 138-147 - 2010
- [j9]Mohamed Farouk Abdel Hady, Friedhelm Schwenker:
Combining Committee-Based Semi-Supervised Learning and Active Learning. J. Comput. Sci. Technol. 25(4): 681-698 (2010) - [j8]Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm:
Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training. Neural Networks 23(4): 497-509 (2010) - [c54]Edmondo Trentin, Stefan Scherer, Friedhelm Schwenker:
Maximum Echo-State-Likelihood Networks for Emotion Recognition. ANNPR 2010: 60-71 - [c53]Stefan Faußer, Friedhelm Schwenker:
Parallelized Kernel Patch Clustering. ANNPR 2010: 131-140 - [c52]Miriam Schmidt, Martin Schels, Friedhelm Schwenker:
A Hidden Markov Model Based Approach for Facial Expression Recognition in Image Sequences. ANNPR 2010: 149-160 - [c51]Mathias Bank, Friedhelm Schwenker:
Fuzzification of Agglomerative Hierarchical Crisp Clustering Algorithms. GfKl 2010: 3-11 - [c50]Mohamed Farouk Abdel Hady, Martin Schels, Friedhelm Schwenker, Günther Palm:
Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs. ICANN (2) 2010: 70-75 - [c49]Stefan Faußer, Friedhelm Schwenker:
Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts. ICPR 2010: 2925-2928 - [c48]Martin Schels, Friedhelm Schwenker:
A Multiple Classifier System Approach for Facial Expressions in Image Sequences Utilizing GMM Supervectors. ICPR 2010: 4251-4254 - [c47]Volker Fritzsch, Stefan Scherer, Friedhelm Schwenker:
An Open Source Process Engine Framework for Realtime Pattern Recognition and Information Fusion Tasks. LREC 2010 - [c46]Mohamed Farouk Abdel Hady, Friedhelm Schwenker:
Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition. MCS 2010: 225-234 - [c45]Friedhelm Schwenker, Stefan Scherer, Miriam Schmidt, Martin Schels, Michael Glodek:
Multiple Classifier Systems for the Recogonition of Human Emotions. MCS 2010: 315-324 - [c44]Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm:
When classifier selection meets information theory: A unifying view. SoCPaR 2010: 314-319 - [e3]Friedhelm Schwenker, Neamat El Gayar:
Artificial Neural Networks in Pattern Recognition, 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010. Proceedings. Lecture Notes in Computer Science 5998, Springer 2010, ISBN 978-3-642-12158-6 [contents]
2000 – 2009
- 2009
- [c43]Stefan Scherer, Volker Fritzsch, Friedhelm Schwenker:
Multimodal real-time conversation analysis using a novel process engine. ACII 2009: 1-2 - [c42]Friedhelm Schwenker, Amr Labib:
Echo State networks and Neural network Ensembles to predict Sunspots activity. ESANN 2009 - [c41]Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm:
Semi-supervised Learning for Regression with Co-training by Committee. ICANN (1) 2009: 121-130 - [c40]Friedhelm Schwenker, Stefan Scherer, Yasmine M. Magdi, Günther Palm:
The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech. ICANN (1) 2009: 894-903 - [c39]Mohamed Farouk Abdel Hady, Friedhelm Schwenker:
Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion. MCS 2009: 92-101 - [p4]Stefan Scherer, Friedhelm Schwenker, Nick Campbell, Günther Palm:
Multimodal Laughter Detection in Natural Discourses. Human Centered Robot Systems, Cognition, Interaction, Technology 2009: 111-120 - [p3]Martin Schels, Christian Thiel, Friedhelm Schwenker, Günther Palm:
Classifier Fusion Applied to Facial Expression Recognition: An Experimental Comparison. Human Centered Robot Systems, Cognition, Interaction, Technology 2009: 121-129 - 2008
- [j7]Mohamed Farouk Abdel Hady, Friedhelm Schwenker:
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees. Int. J. Softw. Informatics 2(2): 95-124 (2008) - [c38]Stefan Faußer, Friedhelm Schwenker:
Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four. ANNPR 2008: 90-100 - [c37]Christian Thiel, Britta Sonntag, Friedhelm Schwenker:
Experiments with Supervised Fuzzy LVQ. ANNPR 2008: 125-132 - [c36]Stefan Scherer, Mohamed Oubbati, Friedhelm Schwenker, Günther Palm:
Real-Time Emotion Recognition from Speech Using Echo State Networks. ANNPR 2008: 205-216 - [c35]Alexander Groß, Jan Friedland, Friedhelm Schwenker:
Learning to play Tetris applying reinforcement learning methods. ESANN 2008: 131-136 - [c34]Mohamed Farouk Abdel Hady, Günther Palm, Friedhelm Schwenker:
Multi-View Forests of Tree-Structured Radial Basis Function Networks Based on Dempster-Shafer Evidence Theory. ESANN 2008: 307-312 - [c33]Ludwig Lausser, Friedhelm Schwenker, Günther Palm:
Detecting zebra crossings utilizing AdaBoost. ESANN 2008: 535-540 - [c32]Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm:
Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training. ICANN (1) 2008: 79-88 - [c31]Mohamed Farouk Abdel Hady, Friedhelm Schwenker:
Co-training by Committee: A New Semi-supervised Learning Framework. ICDM Workshops 2008: 563-572 - [c30]Stefan Scherer, Hansjörg Hofmann, Malte Lampmann, Martin Pfeil, Steffen Rhinow, Friedhelm Schwenker, Günther Palm:
Emotion Recognition from Speech: Stress Experiment. LREC 2008 - [c29]Stefan Scherer, Mohamed Oubbati, Friedhelm Schwenker, Günther Palm:
Real-Time Emotion Recognition Using Echo State Networks. PIT 2008: 200-204 - [c28]Christian Thiel, Ferdinando Giacco, Friedhelm Schwenker, Günther Palm:
Comparison of Neural Classification Algorithms Applied to Land Cover Mapping. WIRN 2008: 254-263 - [p2]Stefan Scherer, Friedhelm Schwenker, Günther Palm:
Emotion Recognition from Speech Using Multi-Classifier Systems and RBF-Ensembles. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks 2008: 49-70 - [e2]Lionel Prevost, Simone Marinai, Friedhelm Schwenker:
Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, ANNPR 2008, Paris, France, July 2-4, 2008, Proceedings. Lecture Notes in Computer Science 5064, Springer 2008, ISBN 978-3-540-69938-5 [contents] - 2007
- [c27]Christian Thiel, Stefan Scherer, Friedhelm Schwenker:
Fuzzy-Input Fuzzy-Output One-Against-All Support Vector Machines. KES (3) 2007: 156-165 - 2006
- [c26]Hans A. Kestler, Johann M. Kraus, Günther Palm, Friedhelm Schwenker:
On the Effects of Constraints in Semi-supervised Hierarchical Clustering. ANNPR 2006: 57-66 - [c25]Neamat El Gayar, Friedhelm Schwenker, Günther Palm:
A Study of the Robustness of KNN Classifiers Trained Using Soft Labels. ANNPR 2006: 67-80 - [c24]Rebecca Fay, Friedhelm Schwenker, Christian Thiel, Günther Palm:
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory. ANNPR 2006: 198-209 - [c23]Friedhelm Schwenker, Andreas Sachs, Günther Palm, Hans A. Kestler:
Orientation Histograms for Face Recognition. ANNPR 2006: 253-259 - [c22]Petra-Maria Strauß, Holger Hoffmann, Wolfgang Minker, Heiko Neumann, Günther Palm, Stefan Scherer, Friedhelm Schwenker, Harald C. Traue, Welf Walter, Ulrich Weidenbacher:
Wizard-of-Oz Data Collection for Perception and Interaction in Multi-User Environments. LREC 2006: 2014-2017 - [e1]Friedhelm Schwenker, Simone Marinai:
Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings. Lecture Notes in Computer Science 4087, Springer 2006, ISBN 3-540-37951-7 [contents] - 2005
- [c21]Laine Kahsay, Friedhelm Schwenker, Günther Palm:
Comparison of Multiclass SVM Decomposition Schemes for Visual Object Recognition. DAGM-Symposium 2005: 334-341 - [c20]Rebecca Fay, Friedhelm Schwenker, Günther Palm:
Incremental learning in hierarchical neural networks for object recognition. ICINCO 2005: 298-303 - [c19]Christian Thiel, Friedhelm Schwenker, Günther Palm:
Using Dempster-Shafer Theory in MCF Systems to Reject Samples. Multiple Classifier Systems 2005: 118-127 - 2004
- [j6]Christian Dietrich, Günther Palm, Klaus Riede, Friedhelm Schwenker:
Classification of bioacoustic time series based on the combination of global and local decisions. Pattern Recognit. 37(12): 2293-2305 (2004) - [c18]Friedhelm Schwenker:
Classification of Bioacoustic Time Series by Training a Decision Fusion mapping. ESANN 2004: 555-560 - 2003
- [j5]Friedhelm Schwenker, Christian Dietrich, Hans A. Kestler, Klaus Riede, Günther Palm:
Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series. Neurocomputing 51: 265-275 (2003) - [j4]Christian Dietrich, Günther Palm, Friedhelm Schwenker:
Decision templates for the classification of bioacoustic time series. Inf. Fusion 4(2): 101-109 (2003) - [c17]Christian Dietrich, Friedhelm Schwenker, Günther Palm:
Multiple Classifier Systems for the Recognition of Orthoptera Songs. DAGM-Symposium 2003: 474-481 - 2002
- [c16]Steffen Simon, Friedhelm Schwenker, Hans A. Kestler, Gerhard K. Kraetzschmar, Günther Palm:
Hierarchical Object Classification for Autonomous Mobile Robots. ICANN 2002: 831-836 - [c15]Christian Dietrich, Friedhelm Schwenker, Günther Palm:
Decision templates for the classification of bioacoustic time series. NNSP 2002: 159-168 - 2001
- [j3]Friedhelm Schwenker, Hans A. Kestler, Günther Palm:
Three learning phases for radial-basis-function networks. Neural Networks 14(4-5): 439-458 (2001) - [c14]Friedhelm Schwenker, Hans A. Kestler, Steffen Simon, Günther Palm:
3D object recognition for autonomous mobile robots utilizing support vector classifiers. CIRA 2001: 344-349 - [c13]Friedhelm Schwenker:
Solving Multi-class Pattern Recognition Problems with Tree-Structured Support Vector Machines. DAGM-Symposium 2001: 283-290 - [c12]Christian Dietrich, Friedhelm Schwenker, Günther Palm:
Fusion Architectures for the Classification of Time Series. ICANN 2001: 749-758 - [c11]Christian Dietrich, Friedhelm Schwenker, Günther Palm:
Classification of Time Series Utilizing Temporal and Decision Fusion. Multiple Classifier Systems 2001: 378-387 - [c10]Friedhelm Schwenker, Günther Palm:
Tree-Structured Support Vector Machines for Multi-class Pattern Recognition. Multiple Classifier Systems 2001: 409-417 - 2000
- [j2]Hans A. Kestler, Stefan Sablatnög, Steffen Simon, Stefan Enderle, Axel Baune, Gerhard K. Kraetzschmar, Friedhelm Schwenker, Günther Palm:
Concurrent Object Identification and Localization for a Mobile Robot. Künstliche Intell. 14(4): 23-29 (2000) - [c9]Friedhelm Schwenker, Hans A. Kestler, Günther Palm:
Radial-basis-function networks: learning and applications. KES 2000: 33-43 - [c8]Friedhelm Schwenker:
Hierarchical support vector machines for multi-class pattern recognition. KES 2000: 561-565 - [p1]Friedhelm Schwenker, Hans A. Kestler, Günther Palm:
An Algorithm for Adaptive Clustering and Visualisation of Highdimensional Data Sets. Computational Intelligence in Data Mining 2000: 127-140
1990 – 1999
- 1999
- [c7]Axel Baune, Steffen Simon, Hans A. Kestler, Friedhelm Schwenker, Günther Palm:
Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter. AMS 1999: 254-261 - [c6]Steffen Simon, Hans A. Kestler, Axel Baune, Friedhelm Schwenker, Günther Palm:
Object classification with simple visual attention and a hierarchical neural network for subsymbolic-symbolic coupling. CIRA 1999: 244-249 - [c5]Hans A. Kestler, Steffen Simon, Axel Baune, Markus Hagenbuchner, Friedhelm Schwenker, Günther Palm:
A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling. DAGM-Symposium 1999: 27-35 - [c4]Hans A. Kestler, Steffen Simon, Axel Baune, Friedhelm Schwenker, Günther Palm:
Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro-symbolic Integration. KI 1999: 267-279 - 1998
- [c3]Friedhelm Schwenker, Steffen Simon, Günther Palm:
Ein hierarchischer neuronaler Klassifikator für die Erkennung von Einzelzeichen in mathematischen Formeltexten. DAGM-Symposium 1998: 410-417 - 1996
- [j1]Friedhelm Schwenker, Friedrich T. Sommer, Günther Palm:
Iterative retrieval of sparsely coded associative memory patterns. Neural Networks 9(3): 445-455 (1996) - 1995
- [c2]Friedhelm Schwenker, Hans A. Kestler, M. Höher, Günther Palm:
Klassifikation hochverstärkter EKG Signale durch RBF-Netzwerke. DAGM-Symposium 1995: 387-394 - [c1]Friedhelm Schwenker, Günther Palm:
Methoden zur Clusteranalyse und Visualisierung hochdimensionaler Datenmengen. DAGM-Symposium 1995: 546-553
Coauthor Index
Günther Palm
aka: Guenther Palm
aka: Guenther Palm
[j36] [j31] [c135] [c133] [j30] [c126] [c125] [p8] [p7] [j28] [j27] [c121] [c118] [c113] [p6] [j26] [c111] [c109] [c108] [c107] [c106] [c105] [c102] [j21] [j19] [c101] [c96] [c91] [c89] [c88] [j13] [c82] [c81] [c78] [j11] [j10] [c77] [c75] [c74] [c72] [c69] [c66] [c65] [j8] [c50] [c44] [c41] [c40] [p4] [p3] [c36] [c34] [c33] [c32] [c30] [c29] [c28] [p2] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j6] [j5] [j4] [c17] [c16] [c15] [j3] [c14] [c12] [c11] [c10] [j2] [c9] [p1] [c7] [c6] [c5] [c4] [c3] [j1] [c2] [c1]
Miriam Schmidt
aka: Miriam Schmidt-Wack
aka: Miriam Schmidt-Wack
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