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S. Bhulai

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#machine learning Open access Jan 2026

Linear probing enables Ship-Radiated Noise recognition with pretrained audio embeddings

This work conducts the first empirical comparative study of transfer learning for UATR, evaluating multiple pretrained audio models originating from diverse audio domains and shows that linear probing enables effective automatic UATR using pretrained audio models at low computational cost, significantly reducing the ne...

Hilde I. Hummel, S. Bhulai, Robert D. van der Mei et al. · 3 citations

Machine Learning with Applications

A hybrid approach that combines contextual embeddings from RoBERTa with handcrafted stylometric features to capture both high-level semantic patterns and low-level stylistic cues enables robust generalization across heterogeneous text types is adopted.

B. van Leeuwen, S. Bhulai, R. D. van der Mei · 0 citations

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