Abstract—In two recent contributions [1], [2], we have provided a comparative analysis of various optimization algorithms, which can be used for atomic location estimation, and s...
Stefano Tennina, Marco Di Renzo, Fabio Graziosi, F...
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
Background: Semantic similarity measures are useful to assess the physiological relevance of protein-protein interactions (PPIs). They quantify similarity between proteins based o...
We propose a new security class, called plaintext-simulatability, defined over the public-key encryption schemes. The notion of plaintext simulatability (denoted PS) is similar to ...
The need to understand and manage provenance arises in almost every scientific application. In many cases, information about provenance constitutes the proof of correctness of re...