Implicit Maximum Likelihood Clustering. - Georgios Vardakas; Aristidis Likas (AIAI (2), 2022)

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 (DS, 2023)

UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters. - Georgios Vardakas; Argyris Kalogeratos; Aristidis Likas (CoRR, 2023)

Neural clustering based on implicit maximum likelihood. - Georgios Vardakas; Aristidis Likas (Neural Comput. Appl., 2023)

Revisiting Silhouette Aggregation. - John Pavlopoulos; Georgios Vardakas; Aristidis Likas (DS (1), 2024)

Silhouette Aggregation: From Micro to Macro. - Georgios Vardakas; John Pavlopoulos; Aristidis Likas (CoRR, 2024)

Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters. - Georgios Vardakas; Ioannis Papakostas; Aristidis Likas (CoRR, 2024)

Explainable dating of greek papyri images. - John Pavlopoulos; Maria Konstantinidou; Elpida Perdiki; Isabelle Marthot-Santaniello; Holger Essler; Georgios Vardakas; Aristidis Likas (Mach. Learn., 2024)

Global k-means++: an effective relaxation of the global k-means clustering algorithm. - Georgios Vardakas; Aristidis Likas (Appl. Intell., 2024)

Generating Counterfactual Explanations for Clustering Models Based on Their Equivalence to Classification Models. - Antonia Karra; Georgios Vardakas; Evaggelia Pitoura; Aristidis Likas (AIAI (1), 2025)

Counterfactual Explanations for k-means and Gaussian Clustering. - Georgios Vardakas; Antonia Karra; Evaggelia Pitoura; Aristidis Likas (CoRR, 2025)

Efficient error minimization in kernel k-means clustering. - Georgios Vardakas; Ioannis Papakostas; Aristidis Likas (Pattern Anal. Appl., 2025)