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Friedhelm 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] - [d3]Raffaela Groner
, Peter Bellmann
, Stefan Höppner
, Patrick Thiam
, Friedhelm Schwenker
, Hans A. Kestler
, Matthias Tichy
:
Data Set for Enhanced Performance Prediction of ATL Model Transformations. Version 2. Zenodo, 2023 [all versions] - [d2]Raffaela Groner
, Peter Bellmann
, Stefan Höppner
, Patrick Thiam
, Friedhelm Schwenker
, Matthias Tichy
:
Data Set for Enhanced Performance Prediction of ATL Model Transformations. Version 1. Zenodo, 2023 [all versions] - [d1]Raffaela Groner
, Peter Bellmann
, Stefan Höppner
, Patrick Thiam
, Friedhelm Schwenker
, Hans A. Kestler
, Matthias Tichy
:
Data Set for Predicting the Performance of ATL Model Transformations Based on Generated Models. Zenodo, 2023 - 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]