Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Social media has become a major source of information for many applications. Numerous techniques have been proposed to analyze network structures and text contents. In this paper,...
This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
In this paper we introduce a novel approach for the thematic organization of bibliographic records that builds upon a semantic relatedness measure we have implemented for this tas...
George Tsatsaronis, Iraklis Varlamis, Sofia Stamou...