Technical University of Munich
Chair of Data Processing
Arcisstraße 21
80333 München
Tel.: +49 (0)89 289 23607
Fax.: +49 (0)89 289 23600
E-Mail: marisa.ripoll@tum.de
Room: Z940
Contact
If you have questions about seminars or courses, refer to the following addresses:
- Computer Vision: cv.ldv@xcit.tum.de
- Seminar Machine Intelligence: smi.ldv@xcit.tum.de
- Brain, Mind and Cognition: bmc.ldv@xcit.tum.de
Publications
P. Paukner, M. Ripoll, D. Sabir, D. O. Erdoğan, L. Sacchetto and K. Diepold, "Classifying Music-Induced Emotion Using Multi-Modal Ensembles of EEG and Audio Feature Models," ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025, pp. 1-5, doi: 10.1109/ICASSP49660.2025.10888818.
Ripoll, M., Andres, M. N., Sohrabpour, A., Dinh, C., Diepold, K., & Khan, S. (2025). Signals of decline: Machine learning driven biomarkers for Alzheimer’s disease. NeurIPS 2025 Workshop on Learning from Time Series for Health.
Ripoll, M. L., Hassan, F., Attieh, J., Collell, G., & Bouchekif, A. (2022). Multi-Lingual Contextual Hate Speech Detection Using Transformer-Based Ensembles. In Forum for Information Retrieval Evaluation (Working Notes)(FIRE). CEUR-WS. org.
Hagerer, G., Szabo, D., Koch, A., Dominguez, M. L. R., Widmer, C., Wich, M., ... & Groh, G. (2021). End-to-end annotator bias approximation on crowdsourced single-label sentiment analysis. Proceedings of the 4th International Conference on Natural Language and Speech Processing (ICNLSP 2021)