Athanasios K. Tsakalidis

Bio: Athanasios K. Tsakalidis is an academic researcher from University of Patras. The author has contributed to research in topics: Web modeling & Web service. The author has an hindex of 30, co-authored 280 publications receiving 3440 citations. Previous affiliations of Athanasios K. Tsakalidis include Saarland University & Research Academic Computer Technology Institute.

An integrated e‐recruitment system for automated personality mining and applicant ranking

Abstract: Purpose – The purpose of this paper is to present a novel approach for recruiting and ranking job applicants in online recruitment systems, with the objective to automate applicant pre‐screening. An integrated, company‐oriented, e‐recruitment system was implemented based on the proposed scheme and its functionality was showcased and evaluated in a real‐world recruitment scenario.Design/methodology/approach – The proposed system implements automated candidate ranking, based on objective criteria that can be extracted from the applicant's LinkedIn profile. What is more, candidate personality traits are automatically extracted from his/her social presence using linguistic analysis. The applicant's rank is derived from individual selection criteria using analytical hierarchy process (AHP), while their relative significance (weight) is controlled by the recruiter.Findings – The proposed e‐recruitment system was deployed in a real‐world recruitment scenario, and its output was validated by expert recruiters. It...

Web Service Discovery Mechanisms: Looking for a Needle in a Haystack?

Abstract: The introduction of software development via Web Services has been the most significant web engineering paradigm, in the last years. The widely acknowledged importance of the Web Services’ concept lies in the fact that they provide a platform independent answer to the software component development question. Equally important are the mechanisms that allow for Web Service discovery, especially as the latter has turn to an arduous task. This paper reviews the latest methods, architectures, models and concerns that have arisen in the Web Service Dis-

Contemporary web service discovery mechanisms

Abstract: The introduction of software development via Web Services has been the most significant web engineering paradigm, in the last years. The widely acknowledged importance of the Web Services' concept lies in the fact that they provide a platform independent answer to the software component development question. Equally important are the mechanisms that allow for Web Service discovery, especially as the latter has turn to an arduous task. This paper critically presents the latest methods, architectures, models and concerns that have arisen in the Web Service Discovery area.

Pattern Recognition and Machine Learning

Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Random graphs

Abstract: We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.