Georgios Vardakas

According to our database, Georgios Vardakas authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters.

Georgios Vardakas, Ioannis Papakostas, Aristidis Likas

Mach. Learn., April, 2026

UniForCE: The Unimodality Forest method for Clustering and Estimation of the number of clusters.

Georgios Vardakas, Argyris Kalogeratos, Aristidis Likas

Pattern Recognit., 2026

2025

Efficient error minimization in kernel k-means clustering.

Georgios Vardakas, Ioannis Papakostas, Aristidis Likas

Pattern Anal. Appl., June, 2025

How Much Does Cluster Fairness Cost? A Counterfactual-Based Approach.

Antonia Karra, Georgios Vardakas, Evaggelia Pitoura, Aristidis Likas

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Linkage Criteria for Agglomerative Clustering Based on Counterfactual Distances.

Georgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas

Proceedings of the 16th International Conference on Information, 2025

Counterfactual Explanations for k-Means and Gaussian Clustering.

Georgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Evaluating Clustering Quality in Centroid-Based Clustering Using Counterfactual Distances.

Georgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas

Proceedings of the Discovery Science - 28th International Conference, 2025

Generating Counterfactual Explanations for Clustering Models Based on Their Equivalence to Classification Models.

Antonia Karra, Georgios Vardakas, Evaggelia Pitoura, Aristidis Likas

Proceedings of the Artificial Intelligence Applications and Innovations, 2025

2024

Global k-means++: an effective relaxation of the global k-means clustering algorithm.

Georgios Vardakas, Aristidis Likas

Appl. Intell., October, 2024

Explainable dating of greek papyri images.

John Pavlopoulos, Maria Konstantinidou, Elpida Perdiki, Isabelle Marthot-Santaniello, Holger Essler, Georgios Vardakas, Aristidis Likas

Mach. Learn., September, 2024

Silhouette Aggregation: From Micro to Macro.

Georgios Vardakas, John Pavlopoulos, Aristidis Likas

CoRR, 2024

Revisiting Silhouette Aggregation.

John Pavlopoulos, Georgios Vardakas, Aristidis Likas

Proceedings of the Discovery Science - 27th International Conference, 2024

2023

Neural clustering based on implicit maximum likelihood.

Georgios Vardakas, Aristidis Likas

Neural Comput. Appl., October, 2023

Explaining the Chronological Attribution of Greek Papyri Images.

John Pavlopoulos, Maria Konstantinidou, Georgios Vardakas, Isabelle Marthot-Santaniello, Elpida Perdiki, Dimitris Koutsianos, Aristidis Likas, Holger Essler

Proceedings of the Discovery Science - 26th International Conference, 2023

2022

Implicit Maximum Likelihood Clustering.

Georgios Vardakas, Aristidis Likas

Proceedings of the Artificial Intelligence Applications and Innovations, 2022