A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Three-Year Audit Of 42 Attacks Exposes Accountability Gap In Security Response 1,369 Killed, 12 Arrests, No Convictions As ...

Abstract: Data similarity (or distance) computation is a fundamental research topic which underpins many high-level applications based on similarity measures in machine learning and data mining.

Abstract: Automatic grading requires the adaption of the latest technologies. It has become essential especially when most of the courses became online courses (MOOCs). The objectives of the current ...