Publications by authors named "Yongxian Xin"
Electroencephalogram (EEG) emotion recognition plays a vital role in affective computing. A limitation of the EEG emotion recognition task is that the features of multiple domains are rarely included in the analysis simultaneously because of the lack of an effective feature organization form. This paper proposes a video-level feature organization method to effectively organize the temporal, frequency and spatial domain features.
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- Mass spectrometry helps scientists quickly and accurately analyze complex samples, which is super important for diagnosing diseases.
- A new method called MSFS improves mass spectrometry data by reducing noise and making the information clearer.
- This research showed that the new method works really well, especially in classifying data for specific health conditions like heart disease and cancer, achieving very high accuracy rates.