A patent-pending innovation created and validated in Purdue University’s College of Engineering could strengthen ...

Results: We evaluated the performance of the models by comparing predicted sentiments (either positive or negative) with the labels judged by human evaluators in terms of the aforementioned 3 aspects.

Abstract: Multi-view multi-label classification is a crucial machine learning paradigm aimed at building robust multi-label predictors by integrating heterogeneous features from various sources while ...

If you want a straightforward document about the wine you’re about to drink, its label may not be that helpful. As we’ve discussed before with the opaque world of “reserve” and “grand reserve,” “grand ...

For those who want to play around with the first version, which remains some features, differ from the new version. You can check out the v1 branch. We aggregate all the above datasets to proceed ...

The bias problem in classification tasks and the different strategies used for bias mitigation. How these strategies are grouped into categories and a brief introduction of the most representative ...

The effective analysis methods for steady-state visual evoked potential (SSVEP) signals are critical in supporting an early diagnosis of glaucoma. Most efforts focused on adopting existing techniques ...