| The interspeech 2020 computational paralinguistics challenge: Elderly emotion, breathing & masks BW Schuller, A Batliner, C Bergler, EM Messner, A Hamilton, ... | 114 | 2020 |
| The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates BW Schuller, A Batliner, C Bergler, C Mascolo, J Han, I Lefter, H Kaya, ... arXiv preprint arXiv:2102.13468, 2021 | 91 | 2021 |
| Sentiment Analysis and Topic Recognition in Video Transcriptions L Stappen, A Baird, E Cambria, BW Schuller IEEE Intelligent Systems 36 (2), 2021 | 72 | 2021 |
| Muse 2020 challenge and workshop: Multimodal sentiment analysis, emotion-target engagement and trustworthiness detection in real-life media: Emotional car reviews in-the-wild L Stappen, A Baird, G Rizos, P Tzirakis, X Du, F Hafner, L Schumann, ... Proceedings of the 1st International on Multimodal Sentiment Analysis in …, 2020 | 52* | 2020 |
| Cross-lingual zero-and few-shot hate speech detection utilising frozen transformer language models and AXEL L Stappen, F Brunn, B Schuller arXiv preprint arXiv:2004.13850, 2020 | 41 | 2020 |
| The MuSe 2021 multimodal sentiment analysis challenge: sentiment, emotion, physiological-emotion, and stress L Stappen, A Baird, L Christ, L Schumann, B Sertolli, EM Messner, ... Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 5-14, 2021 | 40 | 2021 |
| On classifying sepsis heterogeneity in the ICU: insight using machine learning ZM Ibrahim, H Wu, A Hamoud, L Stappen, RJB Dobson, A Agarossi Journal of the American Medical Informatics Association 27 (3), 437-443, 2020 | 35 | 2020 |
| The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements L Stappen, A Baird, L Schumann, B Schuller IEEE Transactions on Affective Computing (Early Access), 2021 | 32 | 2021 |
| A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews A Mallol-Ragolta, Z Zhao, L Stappen, N Cummins, B Schuller Proc. Interspeech 2019, 221-225, 2019 | 32 | 2019 |
| MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox L Stappen, L Schumann, B Sertolli, A Baird, B Weigell, E Cambria, ... Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 75-82, 2021 | 24 | 2021 |
| The muse 2022 multimodal sentiment analysis challenge: humor, emotional reactions, and stress L Christ, S Amiriparian, A Baird, P Tzirakis, A Kathan, N Müller, L Stappen, ... Proceedings of the 3rd International on Multimodal Sentiment Analysis …, 2022 | 16 | 2022 |
| Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks S Amiriparian, A Awad, M Gerczuk, L Stappen, A Baird, S Ottl, B Schuller 2019 International Joint Conference on Neural Networks (IJCNN 2019 …, 2019 | 16 | 2019 |
| X-aware: Context-aware human-environment attention fusion for driver gaze prediction in the wild L Stappen, G Rizos, B Schuller Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020 | 15 | 2020 |
| Context modelling using hierarchical attention networks for sentiment and self-assessed emotion detection in spoken narratives L Stappen, N Cummins, EM Meßner, H Baumeister, J Dineley, B Schuller ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 15 | 2019 |
| Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks S Amiriparian, M Gerczuk, S Ottl, L Stappen, A Baird, L Koebe, B Schuller EURASIP Journal on Audio, Speech, and Music Processing 2020, 1-11, 2020 | 14 | 2020 |
| Summary of muse 2020: Multimodal sentiment analysis, emotion-target engagement and trustworthiness detection in real-life media L Stappen, B Schuller, I Lefter, E Cambria, I Kompatsiaris Proceedings of the 28th ACM international conference on multimedia, 4769-4770, 2020 | 10 | 2020 |
| Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus L Stappen, G Rizos, M Hasan, T Hain, BW Schuller Proceedings INTERSPEECH. Shanghai, China: ISCA, 2020 | 10 | 2020 |
| From Speech to Facial Activity: Towards Cross-modal Sequence-to-Sequence Attention Networks L Stappen, V Karas, N Cummins, F Ringeval, K Scherer, B Schuller 21st IEEE International Workshop on Multimedia Signal Processing (MMSP 2019 …, 2019 | 10 | 2019 |
| An evaluation of speech-based recognition of emotional and physiological markers of stress A Baird, A Triantafyllopoulos, S Zänkert, S Ottl, L Christ, L Stappen, ... Frontiers in Computer Science, 107, 2021 | 9 | 2021 |
| Muse 2021 challenge: Multimodal emotion, sentiment, physiological-emotion, and stress detection L Stappen, EM Meßner, E Cambria, G Zhao, BW Schuller Proceedings of the 29th ACM International Conference on Multimedia, 5706-5707, 2021 | 8 | 2021 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGBestätigte E-Mail-Adresse bei imperial.ac.uk
