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Konstantinos Tserpes

Researcher at National and Kapodistrian University of Athens

Publications -  114
Citations -  1622

Konstantinos Tserpes is an academic researcher from National and Kapodistrian University of Athens. The author has contributed to research in topics: Grid & Cloud computing. The author has an hindex of 19, co-authored 114 publications receiving 1255 citations. Previous affiliations of Konstantinos Tserpes include Harokopio University & National Technical University of Athens.

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Journal ArticleDOI

Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions

TL;DR: This work reviews the various facets of large-scale social recommender systems, summarizing the challenges and interesting problems and discussing some of the solutions.
Journal ArticleDOI

Efficient task replication and management for adaptive fault tolerance in mobile Grid environments

TL;DR: An efficient scheme based on task replication, which utilizes the Weibull reliability function for the grid resources so as to estimate the number of replicas that are going to be scheduled in order to guarantee a specific fault tolerance level for the Grid environment is presented.
Proceedings ArticleDOI

Content vs. context for sentiment analysis: a comparative analysis over microblogs

TL;DR: This work introduces a method that relies on two orthogonal, but complementary sources of evidence: content-based features captured by n-gram graphs and context-based ones captured by polarity ratio, guaranteeing high effectiveness and robustness in the settings the authors are considering.
Posted ContentDOI

COVID-19 detection from chest X-Ray images using Deep Learning and Convolutional Neural Networks

TL;DR: Several state-of-the-art pre-trained convolutional neural networks were evaluated as of their ability to detect infected patients from chest X-Ray images and demonstrate that the classification performance can reach an accuracy of 95% for the best two models.
Journal ArticleDOI

An innovative workflow mapping mechanism for Grids in the frame of Quality of Service

TL;DR: A novel algorithm is presented which allows the mapping of workflow processes to Grid provided services assuring at the same time end-to-end provision of QoS based on user-defined parameters and preferences.