Search Results for author: Giorgos Giannopoulos

Found 6 papers, 1 papers with code

Placing multi-modal, and multi-lingual Data in the Humanities Domain on the Map: the Mythotopia Geo-tagged Corpus

no code implementations LREC 2022 Voula Giouli, Anna Vacalopoulou, Nikolaos Sidiropoulos, Christina Flouda, Athanasios Doupas, Giorgos Giannopoulos, Nikos Bikakis, Vassilis Kaffes, Gregory Stainhaouer

The paper gives an account of an infrastructure that will be integrated into a platform aimed at providing a multi-faceted experience to visitors of Northern Greece using mythology as a starting point.

Management

FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups

no code implementations29 Apr 2024 Giorgos Giannopoulos, Dimitris Sacharidis, Nikolas Theologitis, Loukas Kavouras, Ioannis Emiris

In this work we focus on the latter aspects; we propose an explainability method tailored to identifying potential bias in subgroups and visualizing the findings in a user friendly manner to end users.

Attribute Fairness

Auditing for Spatial Fairness

1 code implementation23 Feb 2023 Dimitris Sacharidis, Giorgos Giannopoulos, George Papastefanatos, Kostas Stefanidis

Similar to established notions of algorithmic fairness, we define spatial fairness as the statistical independence of outcomes from location.

Attribute Fairness

Data-driven soiling detection in PV modules

no code implementations30 Jan 2023 Alexandros Kalimeris, Ioannis Psarros, Giorgos Giannopoulos, Manolis Terrovitis, George Papastefanatos, Gregory Kotsis

We study the problem of estimating the soiling ratio in photo-voltaic (PV) modules, i. e., the ratio of the real power output to the power output that would be produced if solar panels were clean.

Time Series Time Series Analysis

Simplifying Impact Prediction for Scientific Articles

no code implementations30 Dec 2020 Thanasis Vergoulis, Ilias Kanellos, Giorgos Giannopoulos, Theodore Dalamagas

Moreover, most approaches rely on the existence of rich metadata for each article, a requirement that cannot be adequately fulfilled for a large number of them.

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