201966 · Image Synthesis with a Single (Robust) Classifier. We show that the basic classification framework alone can be used to tackle some of the most challenging tasks in image synthesis. In contrast to other state-of-the-art approaches, the toolkit we develop is rather minimal: it uses a single, off-the-shelf classifier for all these tasks.
view more202035 · A single threshold can be selected and the classifiers’ performance at that point compared, or the overall performance can be compared by considering the AUC. Most published reports compare AUCs in absolute terms: “ Classifier 1 has an AUC of 0.85, and classifier 2 has an AUC of 0.79, so classifier 1 is clearly better “.
view more20201125 · While intrinsic molecular subtypes provide important biological classification of breast cancer, the subtype assignment of individuals is influenced by assay technology and study cohort composition. We sought to develop a platform-independent absolute single-sample subtype classifier based on a mini …
view moreDeep learning methods are increasingly being applied to raw electroencephalography (EEG) data. Relative to traditional machine learning methods, deep learning methods can increase model performance through automated feature extraction. Nevertheless, they are also less explainable. Existing raw EEG explainability methods identify relative feature importance …
view more2024520 · What factors should be considered when determining whether to use multiple binary classifiers or a single multiclass classifier? For example, I'm building a model that does hand gesture classific...
view moreBased on over 30 years' experiences in design, production and service of crushing and s
GET QUOTE