Vasilis Gkolemis

According to our database, Vasilis Gkolemis authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An Extendable <i>Python</i> Implementation of Robust Optimization Monte Carlo.

Vasilis Gkolemis, Michael Gutmann, Henri Pesonen

J. Stat. Softw., 2024

Effector: A Python package for regional explanations.

Vasilis Gkolemis, Christos Diou, Eirini Ntoutsi, Theodore Dalamagas, Bernd Bischl, Julia Herbinger, Giuseppe Casalicchio

CoRR, 2024

Fast and Accurate Regional Effect Plots for Automated Tabular Data Analysis.

Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Bridging Data and AIOps for Future AI Advancements with Human-in-the-Loop. The AI-DAPT Concept.

Sotiris Koussouris, Theodore Dalamagas, Paulo Figueiras, George Pallis, Nefeli Bountouni, Vasilis Gkolemis, Kostas Perakis, Dimitris Bibikas, Carlos Agostinho

Proceedings of the IEEE International Conference on Engineering, 2024

2023

An Extendable Python Implementation of Robust Optimisation Monte Carlo.

Vasilis Gkolemis, Michael Gutmann, Henri Pesonen

CoRR, 2023

Regionally Additive Models: Explainable-by-Design Models Minimizing Feature Interactions.

Vasilis Gkolemis, Anargiros Tzerefos, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects.

Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

DALE: Differential Accumulated Local Effects for efficient and accurate global explanations.

Vasilis Gkolemis, Theodore Dalamagas, Christos Diou

Proceedings of the Asian Conference on Machine Learning, 2022