178 citations · 369 across the 22 of their papers we have counts for
3 papers · 1 filter
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification
Kleanthis Malialis, Jin Li, Christos G. Panayiotou +1
Data stream mining aims at extracting meaningful knowledge from continually evolving data streams, addressing the challenges posed by nonstationary environments, particularly, conc…
Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences
Jin Li, Kleanthis Malialis, Christos G. Panayiotou +1
In the contemporary digital landscape, the continuous generation of extensive streaming data across diverse domains has become pervasive. Yet, a significant portion of this data re…
Pandemic infection forecasting through compartmental model and learning-based approaches
Marianna Karapitta, Andreas Kasis, Charithea Stylianides +2
The emergence and spread of deadly pandemics has repeatedly occurred throughout history, causing widespread infections and loss of life. The rapid spread of pandemics have made gov…