1. Abeber, J., Mimilakis, S. I., Grafe, R., & Lukashevich, H. (2017). Acoustic Scene classification by combining autoencoder-based dimensionality reduction and convolutional neural networks. In IEEE proceedings of the detection and classification of acoustic scenes and events (DCASE2017).
2. Bisot, V., Serizel, R., Essid, S., & Richard, G. (2017). Nonnegative feature learning methods for acoustic scene classification. In IEEE proceedings of the detection and classification of acoustic scenes and events (DCASE 2017).
3. Bouguelia, M. R., Verikas, A., Nowaczyk, S., & Santosh, K. C. (2017). Agreeing to disagree: Active learning with noisy labels without crowdsourcing. International Journal of Machine Learning and Cybernetics, 9(8), 1307–1319.
4. Bugalho, M., Portelo, J., Trancoso, I., Pellegrini, T. S., & Abad, A. (2009). Detecting audio events for semantic video search. Interspeech, 2009, 1151–1154.
5. Cai, R., Lu, L., Hanjalic, A., Zhang, H. J., & Cai, L. H. (2006). A flexible framework for key audio effects detection and auditory context inference. IEEE Transactions on Audio, Speech, and Language Processing, 14(3), 1026–1039.