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2020 – today
- 2022
[c31]Rajat Mehta
, Markus Kächele, Didier Stricker, Naim Bajçinca:
Cluster-based Convolutional Baseline for Multi-Camera Vehicle Re-identification. ICIAP (2) 2022: 541-552- 2020
- [b1]Markus Kächele:
Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg 2020, ISBN 978-3-658-28673-6, pp. 1-187
2010 – 2019
- 2017
- [j6]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) - [c30]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 - [p1]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 - 2016
- [j5]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) - [j4]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) - [j3]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) - [c29]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 - [c28]Mehmet Erdal, Markus Kächele, Friedhelm Schwenker:
Emotion Recognition in Speech with Deep Learning Architectures. ANNPR 2016: 298-311 - [c27]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 - [c26]Thomas Bottesch, Thomas Bühler, Markus Kächele:
Speeding up k-means by approximating Euclidean distances via block vectors. ICML 2016: 2578-2586 - [c25]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 - 2015
- [c24]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 - [c23]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 - [c22]Markus Kächele, Günther Palm, Friedhelm Schwenker:
SMO Lattices for the Parallel Training of Support Vector Machines. ESANN 2015 - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]Markus Kächele, Martin Schels, Patrick Thiam, Friedhelm Schwenker:
Fusion Mappings for Multimodal Affect Recognition. SSCI 2015: 307-313 - [c16]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 - 2014
- [j2]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) - [c15]Markus Kächele, Patrick Thiam, Günther Palm, Friedhelm Schwenker:
Majority-Class Aware Support Vector Domain Oversampling for Imbalanced Classification Problems. ANNPR 2014: 83-92 - [c14]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 - [c13]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 - [c12]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 - [c11]Markus Kächele, Friedhelm Schwenker:
Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition. ICPR 2014: 4660-4665 - [c10]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 - [c9]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 - [c8]Markus Kächele, Martin Schels, Friedhelm Schwenker:
Inferring Depression and Affect from Application Dependent Meta Knowledge. AVEC@MM 2014: 41-48 - [c7]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 - [c6]Markus Kächele, Sascha Meudt, Andrej Schwarz, Friedhelm Schwenker:
Audio-Visual User Identification in HCI Scenarios. MPRSS 2014: 113-122 - 2013
- [j1]Martin Fuchs, Markus Kächele, Szymon Rusinkiewicz:
Design and Fabrication of Faceted Mirror Arrays for Light Field Capture. Comput. Graph. Forum 32(8): 246-257 (2013) - [c5]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 - [c4]Markus Kächele, Friedhelm Schwenker:
Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition. PSL 2013: 21-35 - 2012
- [c3]Martin Fuchs, Markus Kächele, Szymon Rusinkiewicz:
Design and Fabrication of Faceted Mirror Arrays for Light Field Capture. VMV 2012: 1-8 - 2011
- [c2]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 - [c1]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
Coauthor Index
aka: Guenther Palm
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