… In this paper, we focus on the filter pruning to achieve model … The core of filter pruning lies
in the selection of filters, which … of filter evaluation functions, we empirically categorize filter …

… • We introduce Filter Skeleton (FS) to efficiently learn the shape of each filter and deeply …
On CIFAR-10, we evaluated our method on two popular network structures: VGG16 [42], …

… We propose criteria to identify cardiorenal syndrome subgroups likely to benefit from
decongestive or pulmonary hypertension‐specific therapies and suggest areas for future research. …

… have described the indirect criteria that would help identify a surrogate to LBB capture.
However, no study has systematically evaluated the diagnostic value of these criteria. In this study…

… Filter Methods Filter methods apply an evaluation criterion to assign a value to each feature,
… In other words, filter methods select the most relevant features based on a performance …

… In this paper, we have addressed the performance evaluation of EMO algorithms during
an optimization run. The main advantage of our proposed running metric is that it does not …

… and public health agencies for the initial evaluation of GFR, with … use initial and confirmatory
tests as needed to develop a final assessment of true GFR. We suggest that GFR evaluation …

… Much of this research has focused on evaluations with transparent criteria, but increasingly,
algorithmic evaluation systems are not transparent. Drawing on over three years of interviews…

… CT scan and X-ray tests could be utilised as a primary detection tool to evaluate the severity
… with the evaluation and comparison because of the multiple evaluation criteria and conflict …

… The main objective of this work is to analyse popular attribute selection techniques and
the impact of filter and wrapper approaches on the evaluation of the classification of chronic …