DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. - Vasilis Gkolemis; Theodore Dalamagas 001; Christos Diou (ACML, 2022)

RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects. - Vasilis Gkolemis; Theodore Dalamagas 001; Eirini Ntoutsi; Christos Diou (ECAI, 2023)

Regionally Additive Models: Explainable-by-Design Models Minimizing Feature Interactions. - Vasilis Gkolemis; Anargiros Tzerefos; Theodore Dalamagas 001; Eirini Ntoutsi; Christos Diou (PKDD/ECML Workshops (2), 2023)

An Extendable Python Implementation of Robust Optimisation Monte Carlo. - Vasilis Gkolemis; Michael Gutmann; Henri Pesonen (CoRR, 2023)

Bridging Data and AIOps for Future AI Advancements with Human-in-the-Loop. The AI-DAPT Concept. - Sotiris Koussouris; Theodore Dalamagas 001; Paulo Figueiras; George Pallis 001; Nefeli Bountouni; Vasilis Gkolemis; Kostas Perakis; Dimitris Bibikas; Carlos Agostinho (ICE/ITMC, 2024)

Fast and Accurate Regional Effect Plots for Automated Tabular Data Analysis. - Vasilis Gkolemis; Theodore Dalamagas 001; Eirini Ntoutsi; Christos Diou (VLDB Workshops, 2024)

Effector: A Python package for regional explanations. - Vasilis Gkolemis; Christos Diou; Eirini Ntoutsi; Theodore Dalamagas 001; Bernd Bischl; Julia Herbinger; Giuseppe Casalicchio (CoRR, 2024)

An Extendable Python Implementation of Robust Optimization Monte Carlo. - Vasilis Gkolemis; Michael Gutmann; Henri Pesonen (J. Stat. Softw., 2024)