| Audio self-supervised learning: A survey S Liu, A Mallol-Ragolta, E Parada-Cabaleiro, K Qian, X Jing, A Kathan, ... Patterns 3 (12), 2022 | 128 | 2022 |
| 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 | 62 | 2022 |
| The muse 2023 multimodal sentiment analysis challenge: Mimicked emotions, cross-cultural humour, and personalisation L Christ, S Amiriparian, A Baird, A Kathan, N Müller, S Klug, C Gagne, ... Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and …, 2023 | 36 | 2023 |
| Towards Multimodal Prediction of Spontaneous Humor: A Novel Dataset and First Results L Christ, S Amiriparian, A Kathan, N Müller, A König, BW Schuller IEEE Transactions on Affective Computing, 2024 | 25 | 2024 |
| Personalised depression forecasting using mobile sensor data and ecological momentary assessment A Kathan, M Harrer, L Küster, A Triantafyllopoulos, X He, M Milling, ... Frontiers in Digital Health 4, 1-15, 2022 | 25 | 2022 |
| A personalised approach to audiovisual humour recognition and its individual-level fairness A Kathan, S Amiriparian, L Christ, A Triantafyllopoulos, N Müller, A König, ... Proceedings of the 3rd International on Multimodal Sentiment Analysis …, 2022 | 17 | 2022 |
| The muse 2024 multimodal sentiment analysis challenge: Social perception and humor recognition S Amiriparian, L Christ, A Kathan, M Gerczuk, N Müller, S Klug, L Stappen, ... Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and …, 2024 | 12 | 2024 |
| Zero-shot personalization of speech foundation models for depressed mood monitoring M Gerczuk, A Triantafyllopoulos, S Amiriparian, A Kathan, J Bauer, ... Patterns 4 (11), 2023 | 9 | 2023 |
| Depression diagnosis and forecast based on mobile phone sensor data X He, A Triantafyllopoulos, A Kathan, M Milling, T Yan, ST Rajamani, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 9 | 2022 |
| Personalised deep learning for monitoring depressed mood from speech M Gerczuk, A Triantafyllopoulos, S Amiriparian, A Kathan, J Bauer, ... 2022 E-Health and Bioengineering Conference (EHB), 1-5, 2022 | 8 | 2022 |
| Computational charisma—A brick by brick blueprint for building charismatic artificial intelligence BW Schuller, S Amiriparian, A Batliner, A Gebhard, M Gerczuk, V Karas, ... Frontiers in Computer Science 5, 1135201, 2023 | 7 | 2023 |
| Noise robust recognition of depression status and treatment response from speech via unsupervised feature aggregation M Gerczuk, S Amiriparian, A Kathan, J Bauer, M Berking, BW Schuller 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 7 | 2023 |
| Exploring Meta Information for Audio-Based Zero-Shot Bird Classification A Gebhard, A Triantafyllopoulos, T Bez, L Christ, A Kathan, BW Schuller ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 5 | 2024 |
| HEAR4Health: a blueprint for making computer audition a staple of modern healthcare A Triantafyllopoulos, A Kathan, A Baird, L Christ, A Gebhard, M Gerczuk, ... Frontiers in Digital Health 5, 1196079, 2023 | 5 | 2023 |
| The effect of clinical intervention on the speech of individuals with PTSD: features and recognition performances A Kathan, A Triantafyllopoulos, S Amiriparian, S Milkus, A Gebhard, ... Proc. INTERSPEECH 2023, 4139-4143, 2023 | 5 | 2023 |
| Investigating individual-and group-level model adaptation for self-reported runner exertion prediction from biomechanics A Kathan, A Triantafyllopoulos, S Amiriparian, A Gebhard, S Ottl, ... 2022 E-Health and Bioengineering Conference (EHB), 1-4, 2022 | 5 | 2022 |
| Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting A Kathan, A Triantafyllopoulos, X He, M Milling, T Yan, ST Rajamani, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 5 | 2022 |
| Ecology & computer audition: Applications of audio technology to monitor organisms and environment BW Schuller, A Akman, Y Chang, H Coppock, A Gebhard, A Kathan, ... Heliyon 10 (1), 2024 | 4 | 2024 |
| Towards detecting and addressing corner cases in deep learning based medical image segmentation ST Rajamani, K Rajamani, A Venkateshvaran, A Triantafyllopoulos, ... IEEE Access, 2023 | 4 | 2023 |
| Towards heart rate categorisation from speech in outdoor running conditions A Gebhard, S Amiriparian, A Triantafyllopoulos, A Kathan, M Gerczuk, ... 2022 E-Health and Bioengineering Conference (EHB), 1-5, 2022 | 3 | 2022 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGE-mailová adresa ověřena na: tum.de
