5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Weakly-supervised anomaly detection for multimodal data distributions
Xu Tan, Junqi Chen, Sylwan Rahardja +2
Weakly-supervised anomaly detection can outperform existing unsupervised methods with the assistance of a very small number of labeled anomalies, which attracts increasing attentio…
eess.AS2024★ 5 cited
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift
Jisheng Bai, Mou Wang, Haohe Liu +11
Acoustic scene classification (ASC) is a crucial research problem in computational auditory scene analysis, and it aims to recognize the unique acoustic characteristics of an envir…
cs.LG2023★ 3 cited
Neighborhood Averaging for Improving Outlier Detectors
Jiawei Yang, Susanto Rahardja, Pasi Franti
We hypothesize that similar objects should have similar outlier scores. To our knowledge, all existing outlier detectors calculate the outlier score for each object independently r…