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Giannis Tzimas

Researcher at University of Peloponnese

Publications -  115
Citations -  1373

Giannis Tzimas is an academic researcher from University of Peloponnese. The author has contributed to research in topics: Web application & Design pattern. The author has an hindex of 16, co-authored 107 publications receiving 1192 citations. Previous affiliations of Giannis Tzimas include Research Academic Computer Technology Institute & University of Patras.

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Journal ArticleDOI

Updates of the HbVar database of human hemoglobin variants and thalassemia mutations

TL;DR: These updates significantly enriched the database content and querying potential, enhanced the database profile and data quality and broadened the inter-relation of HbVar with other databases, which should increase the already high impact of this resource to the globin and genetic database community.
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An integrated e‐recruitment system for automated personality mining and applicant ranking

TL;DR: In this paper, the authors present an approach for recruiting and ranking job applicants in online recruitment systems, with the objective to automate applicant pre-screening and personality traits extracted from candidate's social presence using linguistic analysis.
Proceedings Article

Application of Machine Learning Algorithms to an online Recruitment System

TL;DR: The proposed system extracts a set of objective criteria from the applicants' LinkedIn profile, and infers their personality characteristics using linguistic analysis on their blog posts, and can be trusted for the automation of applicant ranking and personality mining.
Journal ArticleDOI

On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV

TL;DR: A novel approach for evaluating job applicants in online recruitment systems, using machine learning algorithms to solve the candidate ranking problem and performing semantic matching techniques, which was found to perform consistently compared to human recruiters and can be trusted for the automation of applicant ranking and personality mining.