Michael Vötter

According to our database¹, Michael Vötter authored at least 10 papers between 2019 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

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Bibliography

2023

Pairwise Learning to Rank for Hit Song Prediction.

[BibT_eX]

[DOI]

Proceedings of the Datenbanksysteme für Business, 2023

2022

HSP Datasets: Insights on Song Popularity Prediction.

[BibT_eX]

[DOI]

Int. J. Semantic Comput., 2022

2021

Recognizing Song Mood and Theme: Clustering-based Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Novel Datasets for Evaluating Song Popularity Prediction Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Multimedia, 2021

2020

Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

2019

Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Hit Song Prediction: Leveraging Low- and High-Level Audio Features.

[BibT_eX]

[DOI]

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Autoencoders for Next-Track-Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, 2019

Language Models for Next-Track Music Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg, 2019

Michael Vötter

Timeline

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Bibliography

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