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Gerhard Johann Hagerer
Gerhard Johann Hagerer
Research Group Social Computing, Techische Universität München
Verified email at mytum.de - Homepage
Title
Cited by
Cited by
Year
An image-based deep spectrum feature representation for the recognition of emotional speech
N Cummins, S Amiriparian, GJ Hagerer, A Batliner, S Steidl, BW Schuller
Proceedings of the 25th ACM international conference on Multimedia, 478-484, 2017
1712017
Enhancing lstm rnn-based speech overlap detection by artificially mixed data
GJ Hagerer, V Pandit, F Eyben, B Schuller
Audio Engineering Society Conference: 2017 AES International Conference on …, 2017
292017
The news media and its audience: Agenda setting on organic food in the United States and Germany
H Danner, GJ Hagerer, Y Pan, G Groh
Journal of Cleaner Production 354, 131503, 2022
212022
Real-Time Tracking of Speakers' Emotions, States, and Traits on Mobile Platforms.
E Marchi, F Eyben, GJ Hagerer, BW Schuller
INTERSPEECH, 1182-1183, 2016
212016
"Did you laugh enough today?" - Deep Neural Networks for Mobile and Wearable Laughter Trackers.
GJ Hagerer, N Cummins, F Eyben, BW Schuller
INTERSPEECH, 2044-2045, 2017
132017
An evaluation of progressive neural networks for transfer learning in natural language processing
A Moeed, GJ Hagerer, S Dugar, S Gupta, M Ghosh, H Danner, O Mitevski, ...
Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020
92020
Augmenting affect from speech with generative music
GJ Hagerer, M Lux, S Ehrlich, G Cheng
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human …, 2015
72015
Investigating annotator bias in abusive language datasets
M Wich, C Widmer, GJ Hagerer, G Groh
Proceedings of the International Conference on Recent Advances in Natural …, 2021
62021
VoicePlay—An affective sports game operated by speech emotion recognition based on the component process model
GJ Hagerer, F Eyben, D Schuller, KR Scherer, B Schuller
2017 Seventh International Conference on Affective Computing and Intelligent …, 2017
62017
Automatic multi-lingual arousal detection from voice applied to real product testing applications
F Eyben, M Unfried, GJ Hagerer, B Schuller
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
62017
A case study and qualitative analysis of simple cross-lingual opinion mining
GJ Hagerer, WS Leung, Q Liu, H Danner, G Groh
arXiv preprint arXiv:2111.02259, 2021
42021
End-to-end annotator bias approximation on crowdsourced single-label sentiment analysis
GJ Hagerer, D Szabo, A Koch, MLR Dominguez, C Widmer, M Wich, ...
arXiv preprint arXiv:2111.02326, 2021
42021
GraphTMT: unsupervised graph-based topic modeling from video transcripts
J Thies, L Stappen, G Hagerer, BW Schuller, G Groh
2021 IEEE Seventh International Conference on Multimedia Big Data (BigMM), 1-8, 2021
32021
An Analysis of Programming Course Evaluations Before and After the Introduction of an Autograder
GJ Hagerer, L Lahesoo, M Anschütz, S Krusche, G Groh
2021 19th International Conference on Information Technology Based Higher …, 2021
32021
Unsupervised Graph-based Topic Modeling from Video Transcriptions
L Stappen, GJ Hagerer, BW Schuller, G Groh
arXiv preprint arXiv:2105.01466, 2021
32021
Jarnal Home Page-Java Notetaker and PDF Annotator
DK Levine, G Teege, GJ Hagerer, QE Toolbars
Project website: http://www. dklevine. com/general/software/tc1000/jarnal. htm, 2007
32007
Robust laughter detection for wearable wellbeing sensing
GJ Hagerer, N Cummins, F Eyben, B Schuller
Proceedings of the 2018 International Conference on Digital Health, 156-157, 2018
22018
SocialVisTUM: An interactive visualization toolkit for correlated neural topic models on social media opinion mining
GJ Hagerer, M Kirchhoff, H Danner, R Pesch, M Ghosh, A Roy, J Zhao, ...
arXiv preprint arXiv:2110.10575, 2021
12021
Combining content analysis and neural networks to analyze discussion topics in online comments about organic food
H Danner, GJ Hagerer, F Kasischke, G Groh
Editorial Universitat Politècnica de València, 2020
12020
Evaluation metrics for headline generation using deep pre-trained embeddings
A Moeed, Y An, GJ Hagerer, G Groh
Proceedings of The 12th Language Resources and Evaluation Conference, 1796-1802, 2020
12020
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