Melanie B. Sigl successfully presented the paper ‘Towards Learning to Rank Deep-Learning Models for Multivariate Time-Series Transfer Learning’ at the ACM SIGMOD DEEM 2025. The paper was written together with Prof. Dr. Klaus Meyer-Wegener.
The paper presents a novel approach designed to guide deep-learning model selection by leveraging dataset characteristics in multivariate time-series data. The aim is to identify the most suitable DL model for positive transfer learning.
In addition to the presentation Melanie B. Sigl also presented a poster at the conference
The paper is available online at: https://doi.org/10.1145/3735654.3735938