Therefore, we can see that FNNWV can not only achieve better results in class-imbalanced crowdsourcing but also be on par with the state-of-the-art label integration algorithms in class-balanced crowdsourcing. Table 6 Description of 13 class-balanced datasets Dataset #Attributes #Instances ...
College of Pharmacy and Integrated Research Institute for Drug Development, Dongguk University, Goyang, 10326, Korea Hyun Woo Kim Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4367, Belvaux, Luxembourg Todor Kondić & Emma L. Schymanski Department of Biochemistry and Organic ...
By using it, it is possible to have a fast diagnosis tool and also to better track the evolution of preterm placental microcalcifications; in principle, small microcalcifications that are difficult to identify in the unprocessed image. 4. Conclusions According to many studies from the literature,...
In the case of HB(p), the higher value is better, while in the case of DDI(d), NNI(d) and GDI(d), the lower value is better. It can be seen in Table 1 that the SM method did not perform well on this dataset, and it could not select a full-sized control group. This ...
If the data-point density in the overlap region exceeds a threshold value, the two data points are assigned to the same cluster. Thus, CNN clustering is a density-based clustering that yields a strict partitioning with outliers. We refer to the clusters from such a strict partitioning with ...