| Facing realism in spontaneous emotion recognition from speech: Feature enhancement by autoencoder with LSTM neural networks Z Zhang, F Ringeval, J Han, J Deng, E Marchi, B Schuller | 34 | 2016 |
| From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty J Han, Z Zhang, M Schmitt, M Pantic, B Schuller ACM Multimedia, 890-897, 2017 | 30 | 2017 |
| Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace H Sagha, J Deng, M Gavryukova, J Han, B Schuller 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 28 | 2016 |
| Strength modelling for real-world automatic continuous affect recognition from audiovisual signals J Han, Z Zhang, N Cummins, F Ringeval, B Schuller Image and Vision Computing 65, 76-86, 2017 | 24 | 2017 |
| The university of passau open emotion recognition system for the multimodal emotion challenge J Deng, N Cummins, J Han, X Xu, Z Ren, V Pandit, Z Zhang, B Schuller Chinese Conference on Pattern Recognition, 652-666, 2016 | 23 | 2016 |
| Prediction-based learning for continuous emotion recognition in speech J Han, Z Zhang, F Ringeval, B Schuller 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 22 | 2017 |
| Reconstruction-error-based learning for continuous emotion recognition in speech J Han, Z Zhang, F Ringeval, B Schuller 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 17 | 2017 |
| SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild J Kossaifi, R Walecki, Y Panagakis, J Shen, M Schmitt, F Ringeval, J Han, ... arXiv preprint arXiv:1901.02839, 2019 | 15 | 2019 |
| Leveraging Unlabelled Data for Emotion Recognition with Enhanced Collaborative Semi-Supervised Learning Z Zhang, J Han, J Deng, X Xu, F Ringeval, B Schuller IEEE Access 6, 22196-22209, 2018 | 13 | 2018 |
| Learning image-based representations for heart sound classification Z Ren, N Cummins, V Pandit, J Han, K Qian, B Schuller Proceedings of the 2018 International Conference on Digital Health, 143-147, 2018 | 11 | 2018 |
| Towards conditional adversarial training for predicting emotions from speech J Han, Z Zhang, Z Ren, F Ringeval, B Schuller Proc. IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 11 | 2018 |
| Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives J Han, Z Zhang, N Cummins, B Schuller IEEE Computational Intelligence Magazine, 2019 | 9 | 2019 |
| Learning audio sequence representations for acoustic event classification Z Zhang, D Liu, J Han, B Schuller arXiv preprint arXiv:1707.08729, 2017 | 9 | 2017 |
| ExPerio—Exploiting periodicity for opportunistic energy-efficient data transmission P Kindt, H Jing, N Peters, S Chakraborty 2015 IEEE Conference on Computer Communications (INFOCOM), 82-90, 2015 | 8 | 2015 |
| Dynamic Difficulty Awareness Training for Continuous Emotion Prediction Z Zhang, J Han, E Coutinho, B Schuller IEEE Transactions on Multimedia 20, 2018 | 6 | 2018 |
| Scaling Speech Enhancement in Unseen Environments with Noise Embeddings G Keren, J Han, B Schuller Proceedings The 5th International Workshop on Speech Processing in Everyday …, 2018 | 6 | 2018 |
| Towards intoxicated speech recognition Z Zhang, F Weninger, M Wöllmer, J Han, B Schuller 2017 International Joint Conference on Neural Networks (IJCNN), 1555-1559, 2017 | 4 | 2017 |
| Emotion Recognition in Speech with Latent Discriminative Representations Learning J Han, Z Zhang, G Keren, B Schuller Acta Acustica united with Acustica 104, 737-740, 2018 | 3 | 2018 |
| Exploring A New Method for Food Likability Rating Based on DT-CWT Theory Y Guo, J Han, Z Zhang, B Schuller, Y Ma Proc. International Conference on Multimodal Interaction (ICMI), 2018 | 3 | 2018 |
| Evolving Learning for Analysing Mood-Related Infant Vocalisation Z Zhang, J Han, K Qian, B Schuller Proc. INTERSPEECH, 142-146, 2018 | 3 | 2018 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
