Author

Yasumasa Tamura

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Open access Sep 2026

Domain-specific unsupervised pre-training for robust respiratory sound classification

This framework provides a potential scalable pathway for domains with critically limited annotated data using massive synthetic data without synthetic labels to train a lightweight classifier on limited clinical data.

Takehiro Hirasawa, Yasumasa Tamura, K. Shimizu et al. · Artificial Life and Robotics · 0 citations

Open access Jul 2026

Learning Fine-Grained Video Anomaly Detection from Normal Videos

Video anomaly detection (VAD) aims to identify abnormal events in videos. Due to the lack of high-quality training data with detailed annotations, current VAD methods can only produce video-level predictions. To remedy this, several methods attempt to synthesize pseudo video anomalies. However, these methods suffer fro...

Ruqin Wang, Yasumasa Tamura, Masahito Yamamoto · Italian National Conference... · 0 citations