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Institution

University of the Aegean

EducationMytilene, Greece
About: University of the Aegean is a education organization based out in Mytilene, Greece. It is known for research contribution in the topics: Population & Context (language use). The organization has 2818 authors who have published 8100 publications receiving 179275 citations. The organization is also known as: UAEG.


Papers
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Journal ArticleDOI
TL;DR: In this article, a step-by-step optimization of an extraction process was carried out, with the aim of establishing an eco-friendly methodology for polyphenol recovery from two endemic Cretan Artemisia species.

57 citations

Journal ArticleDOI
TL;DR: The most efficient presentation methods, regarding user persuasion and satisfaction, proved to be the "structured overview” and the “text and video” interfaces, while a strong positive correlation was also found between user satisfaction and persuasion in all experimental conditions.
Abstract: The explosive growth of Internet applications and content, during the last decade, has revealed an increasing need for information filtering and recommendation. Most research in the area of recommendation systems has focused on designing and implementing efficient algorithms that provide accurate recommendations. However, the selection of appropriate recommendation content and the presentation of information are equally important in creating successful recommender applications. This paper addresses issues related to the presentation of recommendations in the movies domain. The current work reviews previous research approaches and popular recommender systems, and focuses on user persuasion and satisfaction. In our experiments, we compare different presentation methods in terms of recommendations' organization in a list (i.e. top N-items list and structured overview) and recommendation modality (i.e. simple text, combination of text and image, and combination of text and video). The most efficient presentation methods, regarding user persuasion and satisfaction, proved to be the "structured overview" and the "text and video" interfaces, while a strong positive correlation was also found between user satisfaction and persuasion in all experimental conditions.

57 citations

Journal ArticleDOI
TL;DR: A means of identifying the high-level features that contribute to source code authorship identification using as a tool the SCAP method and the results show that, for these programs, comments, layout features and package-related naming influence classification accuracy whereas user-defined naming does not appear to influence accuracy.

57 citations

Journal ArticleDOI
TL;DR: The paper describes thoroughly the CSR method, provides experimental results over an extended version of benchmarking series of both artificially created and real world cases, and discusses the potential of the method.

57 citations

Book ChapterDOI
01 Jan 2004
TL;DR: In this paper, the authors present a set of tools and techniques used to achieve the goal of authorship identification, a review of the research efforts in the area and a new taxonomy on source code authorship analysis.
Abstract: Cybercrime has increased in severity and frequency in the recent years and because of this, it has become a major concern for companies, universities and organizations. The anonymity offered by the Internet has made the task of tracing criminal identity difficult. One study field that has contributed in tracing criminals is authorship analysis on e-mails, messages and programs. This paper contains a study on source code authorship analysis. The aim of the research efforts in this area is to identify the author of a particular piece of code by examining its programming style characteristics. Borrowing extensively from the existing fields of linguistics and software metrics, this field attempts to investigate various aspects of computer program authorship. Source code authorship analysis could be implemented in cases of cyber attacks, plagiarism and computer fraud. In this paper we present the set of tools and techniques used to achieve the goal of authorship identification, a review of the research efforts in the area and a new taxonomy on source code authorship analysis.

57 citations


Authors

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202345
202292
2021479
2020493
2019543
2018447