| End-to-end multimodal emotion recognition using deep neural networks P Tzirakis, G Trigeorgis, MA Nicolaou, BW Schuller, S Zafeiriou IEEE Journal of selected topics in signal processing 11 (8), 1301-1309, 2017 | 545 | 2017 |
| Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond D Kollias, P Tzirakis, MA Nicolaou, A Papaioannou, G Zhao, B Schuller, ... International Journal of Computer Vision 127 (6-7), 907-929, 2019 | 326 | 2019 |
| End-to-end speech emotion recognition using deep neural networks P Tzirakis, J Zhang, BW Schuller 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 231 | 2018 |
| The interspeech 2017 computational paralinguistics challenge: Addressee, cold & snoring B Schuller, S Steidl, A Batliner, E Bergelson, J Krajewski, C Janott, ... Computational Paralinguistics Challenge (ComParE), Interspeech 2017, 3442-3446, 2017 | 171 | 2017 |
| The INTERSPEECH 2018 computational paralinguistics challenge: atypical and self-assessed affect, crying and heart beats B Schuller, S Steidl, A Batliner, PB Marschik, H Baumeister, F Dong, ... | 138 | 2018 |
| 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 | 107 | 2021 |
| End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study H Coppock, A Gaskell, P Tzirakis, A Baird, L Jones, B Schuller BMJ innovations 7 (2), 2021 | 91 | 2021 |
| End-to-end multimodal affect recognition in real-world environments P Tzirakis, J Chen, S Zafeiriou, B Schuller Information Fusion 68, 46-53, 2021 | 55 | 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 E Stappen, L., Baird, A., Rizos, G., Tzirakis, P., Du, X., Hafner, F ... 1st International Multimodal Sentiment Analysis in Real-life Media Challenge …, 2020 | 54* | 2020 |
| End2You--The Imperial Toolkit for Multimodal Profiling by End-to-End Learning P Tzirakis, S Zafeiriou, BW Schuller arXiv preprint arXiv:1802.01115, 2018 | 49 | 2018 |
| Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh AG Özbay, A Hamzehloo, S Laizet, P Tzirakis, G Rizos, B Schuller Data-Centric Engineering 2, e6, 2021 | 40* | 2021 |
| T3C: improving a decision tree classification algorithm’s interval splits on continuous attributes P Tzirakis, C Tjortjis Advances in Data Analysis and Classification 11 (2), 353-370, 2017 | 35 | 2017 |
| Abaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges D Kollias, P Tzirakis, A Baird, A Cowen, S Zafeiriou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 29 | 2023 |
| 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 | 28 | 2022 |
| Evaluating data mining algorithms using molecular dynamics trajectories VA Tatsis, C Tjortjis, P Tzirakis International journal of data mining and bioinformatics 8 (2), 169-187, 2013 | 25 | 2013 |
| Multi-channel speech enhancement using graph neural networks P Tzirakis, A Kumar, J Donley ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 21 | 2021 |
| Real-world automatic continuous affect recognition from audiovisual signals P Tzirakis, S Zafeiriou, B Schuller Multimodal Behavior Analysis in the Wild, 387-406, 2019 | 20 | 2019 |
| Synthesising 3D facial motion from" In-the-Wild" speech P Tzirakis, A Papaioannou, A Lattas, M Tarasiou, B Schuller, S Zafeiriou 15th IEEE International Conference on Automatic Face and Gesture Recognition …, 2020 | 17 | 2020 |
| Speech emotion recognition using semantic information P Tzirakis, A Nguyen, S Zafeiriou, BW Schuller ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 16 | 2021 |
| Evaluating the covid-19 identification resnet (cider) on the interspeech covid-19 from audio challenges A Akman, H Coppock, A Gaskell, P Tzirakis, L Jones, BW Schuller Frontiers in Digital Health 4, 2022 | 15 | 2022 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
