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Found 5 papers, 2 papers with code
An Analysis of the Influence of Transfer Learning When Measuring the Tortuosity of Blood Vessels
The pre-trained CNNs can then be easily applied in downstream blood vessel characterization tasks such as the calculation of the length, tortuosity, or caliber of the blood vessels.
Revisiting Agglomerative Clustering
An important issue in clustering concerns the avoidance of false positives while searching for clusters.
Malleability of complex networks
In this work, we suggest the concept of malleability of a network, which is defined as the exponential of the entropy of the probabilities of each possible unfolding with respect to a given configuration.
Physics and Society Social and Information Networks
Clustering Algorithms: A Comparative Approach
We also found that the default configuration of the adopted implementations was not accurate.
Complex systems: features, similarity and connectivity
More specifically, the identification of the main areas to which the concepts frequently used in complex networks can be applied paves the way to adopting and applying a larger set of concepts and methods deriving from those respective areas.
