| The interspeech 2020 computational paralinguistics challenge: Elderly emotion, breathing & masks BW Schuller, A Batliner, C Bergler, EM Messner, A Hamilton, ... Proceedings of the Annual Conference of the International Speech …, 2020 | 55 | 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 | 26* | 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 | 16 | 2020 |
| 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 | 16 | 2020 |
| Sentiment Analysis and Topic Recognition in Video Transcriptions L Stappen, A Baird, E Cambria, BW Schuller IEEE Intelligent Systems 36 (2), 2021 | 15 | 2021 |
| 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 |
| 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 | 8 | 2019 |
| 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 | 7 | 2021 |
| 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 | 7 | 2021 |
| 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 | 6 | 2020 |
| Domain Adaptation with Joint Learning for Generic, Optical Car Part Recognition and Detection Systems (Go-CaRD) 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 | 6 | 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), 1-11, 2020 | 4 | 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 | 4 | 2019 |
| 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 | 3 | 2020 |
| Unsupervised Graph-based Topic Modeling from Video Transcriptions L Stappen, G Hagerer, BW Schuller, G Groh arXiv preprint arXiv:2105.01466, 2021 | 1 | 2021 |
| An Estimation of Online Video User Engagement from Features of Continuous Emotions L Stappen, A Baird, M Lienhart, A Bätz, B Schuller arXiv preprint arXiv:2105.01633, 2021 | 1 | 2021 |
| 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, ... arXiv preprint arXiv:2104.07123, 2021 | 1 | 2021 |
| 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 | 1 | 2020 |
| A Physiologically-adapted Gold Standard for Arousal During a Stress Induced Scenario A Baird, L Stappen, L Christ, L Schumann, EM Meßner, BW Schuller arXiv preprint arXiv:2107.12964, 2021 | | 2021 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGBestätigte E-Mail-Adresse bei imperial.ac.uk
