| The interspeech 2020 computational paralinguistics challenge: Elderly emotion, breathing & masks BW Schuller, A Batliner, C Bergler, EM Messner, A Hamilton, ... Proceedings INTERSPEECH. Shanghai, China: ISCA, 2020 | 38 | 2020 |
| 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 | 17* | 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 | 11 | 2019 |
| 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 | 9 | 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 | 7 | 2020 |
| Go-CaRD - Generic, Optical Car Part Recognition and Detection: Collection, Insights, and Applications L Stappen, X Du, V Karas, S Müller, BW Schuller arXiv preprint arXiv:2006.08521, 2020 | 6* | 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 | 5 | 2019 |
| 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 | 5 | 2019 |
| 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 | 1 | 2020 |
| 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 | 1 | 2019 |
| The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements L Stappen, A Baird, L Schumann, B Schuller arXiv preprint arXiv:2101.06053, 2021 | | 2021 |
| 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), 1-11, 2020 | | 2020 |
| 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 | | 2020 |
| MuSe 2020 Chairs' Welcome BW Schuller, I Lefter, E Cambria, IY Kompatsiaris, L Stappen MuSe 2020-Proceedings of the 1st International Multimodal Sentiment Analysis …, 2020 | | 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 | | 2020 |
| Attention-based Neural Networks for the Detection of Objective Linguistic Markers in Depressive Spoken and Written Language L Stappen, N Cummins, EM Rathner, A Mallol-Ragolta, H Baumeister, ... 16th International Pragmatics Conference (IPrA 2019), Hongkong, China, 2019 | | 2019 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
