4 citations · 11 across the 22 of their papers we have counts for
5 papers · 1 filter
Learning Diachronic Representations of Ancient Greek Letterforms
John Pavlopoulos, Spyros Barbakos, Lavinia Ferretti +7
Learning representations that remain robust across centuries of variation in handwriting is a key challenge in diachronic representation learning. Taking one of the longest continu…
Composite Silhouette: A Subsampling-based Aggregation Strategy
Aggelos Semoglou, Aristidis Likas, John Pavlopoulos
Determining the number of clusters is a central challenge in unsupervised learning, where ground-truth labels are unavailable. The Silhouette coefficient is a widely used internal…
CAKE: Confidence in Assignments via K-partition Ensembles
Aggelos Semoglou, John Pavlopoulos
Clustering is widely used for unsupervised structure discovery, yet it offers limited insight into how reliable each individual assignment is. Diagnostics, such as convergence beha…
Silhouette-Driven Instance-Weighted -means
Aggelos Semoglou, Aristidis Likas, John Pavlopoulos
Clustering is a fundamental unsupervised learning task with applications across a wide range of domains. Popular algorithms such as -means are efficient and widely used, but can…
Revisiting Silhouette Aggregation
John Pavlopoulos, Georgios Vardakas, Aristidis Likas
Silhouette coefficient is an established internal clustering evaluation measure that produces a score per data point, assessing the quality of its clustering assignment. To assess…