| Hit Song Prediction: Leveraging Low-and High-Level Audio Features. E Zangerle, M Vötter, R Huber, YH Yang ISMIR, 319-326, 2019 | 7 | 2019 |
| Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks M Mayerl, M Vötter, HT Hung, BY Chen, YH Yang, E Zangerle Working Notes Proceedings of the MediaEval 2019 Workshop, ceur-ws. org 12, 2019 | 1 | 2019 |
| Comparing Lyrics Features for Genre Recognition M Mayerl, M Vötter, M Moosleitner, E Zangerle Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), 73-77, 2020 | | 2020 |
| MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach HT Hung, YH Chen, M Mayerl, MVE Zangerle, YH Yang | | 2019 |
| Autoencoders for Next-Track-Recommendation. M Vötter, E Zangerle, M Mayerl, G Specht Grundlagen von Datenbanken, 20-25, 2019 | | 2019 |
| Language Models for Next-Track Music Recommendation. M Mayerl, M Vötter, E Zangerle, G Specht Grundlagen von Datenbanken, 15-19, 2019 | | 2019 |
Eva ZangerleUniversity of InnsbruckBestätigte E-Mail-Adresse bei uibk.ac.at
