527 citations · 982 across the 6 of their papers we have counts for
7 papers
Unobtrusive Low Cost Pupil Size Measurements using Web cameras
Sergios Petridis, Theodoros Giannakopoulos, Costantine D. Spyropoulos
Unobtrusive every day health monitoring can be of important use for the elderly population. In particular, pupil size may be a valuable source of information, since, apart from pat…
Ellogon: A New Text Engineering Platform
Georgios Petasis, Vangelis Karkaletsis, Georgios Paliouras +2
This paper presents Ellogon, a multi-lingual, cross-platform, general-purpose text engineering environment. Ellogon was designed in order to aid both researchers in natural languag…
Stacking classifiers for anti-spam filtering of e-mail
G. Sakkis, I. Androutsopoulos, G. Paliouras +3
We evaluate empirically a scheme for combining classifiers, known as stacked generalization, in the context of anti-spam filtering, a novel cost-sensitive application of text categ…
Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach
Ion Androutsopoulos, Georgios Paliouras, Vangelis Karkaletsis +3
We investigate the performance of two machine learning algorithms in the context of anti-spam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a nee…
An Experimental Comparison of Naive Bayesian and Keyword-Based Anti-Spam Filtering with Personal E-mail Messages
Ion Androutsopoulos, John Koutsias, Konstantinos V. Chandrinos +1
The growing problem of unsolicited bulk e-mail, also known as "spam", has generated a need for reliable anti-spam e-mail filters. Filters of this type have so far been based mostly…
An evaluation of Naive Bayesian anti-spam filtering
Ion Androutsopoulos, John Koutsias, Konstantinos V. Chandrinos +2
It has recently been argued that a Naive Bayesian classifier can be used to filter unsolicited bulk e-mail ("spam"). We conduct a thorough evaluation of this proposal on a corpus t…