activity
20162026
most citedGLANCE: Global Actions in a Nutshell for Counterfactual Explainability

3 citations · 6 across the 7 of their papers we have counts for

collaborators

9 papers

cs.LG2026

Interpretability-by-Design with Accurate Locally Additive Models and Conditional Feature Effects

Vasilis Gkolemis, Loukas Kavouras, Dimitrios Kyriakopoulos +5

Generalized additive models (GAMs) offer interpretability through independent univariate feature effects but underfit when interactions are present in data. GAMs add selected p…

cs.LG2024★ 3 cited

GLANCE: Global Actions in a Nutshell for Counterfactual Explainability

Loukas Kavouras, Eleni Psaroudaki, Konstantinos Tsopelas +9

The widespread deployment of machine learning systems in critical real-world decision-making applications has highlighted the urgent need for counterfactual explainability methods…

cs.CY2024

Fairness in AI: challenges in bridging the gap between algorithms and law

Giorgos Giannopoulos, Maria Psalla, Loukas Kavouras +4

In this paper we examine algorithmic fairness from the perspective of law aiming to identify best practices and strategies for the specification and adoption of fairness definition…

cs.LG2024

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

Giorgos Giannopoulos, Dimitris Sacharidis, Nikolas Theologitis +2

Fairness is steadily becoming a crucial requirement of Machine Learning (ML) systems. A particularly important notion is subgroup fairness, i.e., fairness in subgroups of individua…

cs.LG2023★ 3 cited

Fairness Aware Counterfactuals for Subgroups

Loukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos +6

In this work, we present Fairness Aware Counterfactuals for Subgroups (FACTS), a framework for auditing subgroup fairness through counterfactual explanations. We start with revisit…

cs.DC2021

SCHeMa: Scheduling Scientific Containers on a Cluster of Heterogeneous Machines

Thanasis Vergoulis, Konstantinos Zagganas, Loukas Kavouras +3

In the era of data-driven science, conducting computational experiments that involve analysing large datasets using heterogeneous computational clusters, is part of the everyday ro…

cs.DS2020

The Online Min-Sum Set Cover Problem

Dimitris Fotakis, Loukas Kavouras, Grigorios Koumoutsos +2

We consider the online Min-Sum Set Cover (MSSC), a natural and intriguing generalization of the classical list update problem. In Online MSSC, the algorithm maintains a permutation…

cs.DS2019

Reallocating Multiple Facilities on the Line

Dimitris Fotakis, Loukas Kavouras, Panagiotis Kostopanagiotis +3

We study the multistage -facility reallocation problem on the real line, where we maintain facility locations over stages, based on the stage-dependent locations of …

cs.CG2016

High-dimensional approximate -nets

Georgia Avarikioti, Ioannis Z. Emiris, Loukas Kavouras +1

The construction of -nets offers a powerful tool in computational and metric geometry. We focus on high-dimensional spaces and present a new randomized algorithm which efficient…