Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
In this paper we present a family of multi-objective hypergraph partitioning algorithms based on the multilevel paradigm, which are capable of producing solutions in which both th...
Many emerging scientific and industrial applications require transferring multiple Tbytes of data on a daily basis. Examples include pushing scientific data from particle accele...
Nikolaos Laoutaris, Georgios Smaragdakis, Pablo Ro...
Millions of research funding has been put down to develop - what I call - old forms - of reasoning that are characterized by strong focus on theoretical properties and strict adher...