Author

Katerina Potika

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Preprint Aug 2026

Concept Drift Detection and Adaptive Retraining of Malware Classification Models

This chapter analyzes two machine learning-based approaches to automated concept drift detection-a novel approach based on One-Class Support Vector Machines (OCSVM) and a previously-studied technique based on Minibatch K-Means (MK-Means), which achieve classification accuracy comparable to periodic retraining, while of...

C. Chungata, Martin Jurecek, Katerina Potika et al. · 0 citations

#graph neural networks Preprint Aug 2026

GATNextHop: A GAT for Shortest Path Routing with Cross-Topology Generalization

The GATNextHop model is proposed to determine whether a Graph Neural Network, namely the Graph Attention Network, can approximate shortest paths and generalize across topologies and compares the GNN against Dijkstra's algorithm to quantify trade-offs between learned and classical routing approaches.

Chia-Hong Chou, Katerina Potika · 0 citations

Conference Jul 2026

Fair Influence Maximization with Reverse Influence Sampling Boosted Multi-Objective Genetic Algorithm

Influence maximization (IM) selects a small set of seed users to maximize expected diffusion in a social network, typically under the Independent Cascade model. Optimizing only global spread can amplify pre-existing structural inequities: some groups (e.g., demographics, communities, or departments) may receive far les...

Akash Janardhan Srinivas, Petros Potikas, William B. Andreopoulos et al. · International Conference on... · 0 citations