22 citations · 37 across the 8 of their papers we have counts for
8 papers
Evaluating AI Group Fairness: a Fuzzy Logic Perspective
Emmanouil Krasanakis, Symeon Papadopoulos
Artificial intelligence systems often address fairness concerns by evaluating and mitigating measures of group discrimination, for example that indicate biases against certain gend…
Towards Standardizing AI Bias Exploration
Emmanouil Krasanakis, Symeon Papadopoulos
Creating fair AI systems is a complex problem that involves the assessment of context-dependent bias concerns. Existing research and programming libraries express specific concerns…
Graph Neural Network Surrogates of Fair Graph Filtering
Emmanouil Krasanakis, Symeon Papadopoulos
Graph filters that transform prior node values to posterior scores via edge propagation often support graph mining tasks affecting humans, such as recommendation and ranking. Thus,…
A Graph Diffusion Scheme for Decentralized Content Search based on Personalized PageRank
Nikolaos Giatsoglou, Emmanouil Krasanakis, Symeon Papadopoulos +1
Decentralization is emerging as a key feature of the future Internet. However, effective algorithms for search are missing from state-of-the-art decentralized technologies, such as…
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks
Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris
In this work, we aim to classify nodes of unstructured peer-to-peer networks with communication uncertainty, such as users of decentralized social networks. Graph Neural Networks (…
pygrank: A Python Package for Graph Node Ranking
Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris +1
We introduce pygrank, an open source Python package to define, run and evaluate node ranking algorithms. We provide object-oriented and extensively unit-tested algorithm components…
Prior Signal Editing for Graph Filter Posterior Fairness Constraints
Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris +1
Graph filters are an emerging paradigm that systematizes information propagation in graphs as transformation of prior node values, called graph signals, to posterior scores. In thi…
Bias in Data-driven AI Systems -- An Introductory Survey
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju +20
AI-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and any…