output
20042026
most citedLearning from Nature to Improve the Heat Generation of Iron-Oxide Nanoparticles for Magnetic Hyperthermia Applications

533 citations

315 papers

cs.CR2026★ 1 cited

Hybrid Hierarchical Runtime Verification for Edge-IoT Security: Combining MonPoly and RTLola

Nikolaos Kekatos, Marinelio Chintri, Panagiotis Katsaros +5

Security monitoring of edge-IoT fleets faces three structural challenges. (i) A per-node monitor is cheap but cannot see attacks that coordinate across devices. (ii) A cloud monito…

cs.CR2026

Formal Runtime Verification for Tool-Using LLM Agents: An Offline Same-Benchmark Study on AgentDojo and STAC

Nikolaos Kekatos, Stylianos Basagiannis, Marinelio Chintri +5

Guardrails for tool-using LLM agents are usually application-specific rules, which makes multi-step, data-dependent safety policies hard to specify, audit and reuse. As a declarati…

cs.AI2026

Fuzzy Distribution Modeling for Synthetic Tabular Data Generation with Causality Preservation

Michael Vasilakakis, Dimitris K. Iakovidis

Synthetic tabular data generation provides an effective alternative for the training of machine learning models when real-world data is limited or inaccessible. However, the hetero…

cs.CV2026

Self-Supervised Perceptually Interpretable Monocular Depth Estimation

Zain Ul Abidin, George Dimas, Dimitris K. Iakovidis

Self-supervised monocular depth estimation (MDE) enables depth prediction from monocular images without requiring ground-truth supervision, making it attractive for large-scale and…

cs.CV2026

Multi-Resolution Feature Fusion U-Net for Magnetic Resonance Imaging Segmentation

Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitris K. Iakovidis

The segmentation of anatomical structures in medical images and particularly in MRI scans, is essential for clinical diagnosis and monitoring disease progression. While Deep Learni…

eess.SP2026★ 16 cited

Efficient Automatic Modulation Classification for Next-Generation Wireless Networks

To Truong An, Antonios Argyriou, Annisa Anggun Puspitasari +2

With the imminent development of sixth-generation (6G) networks, there will be a demand for high-accuracy, computationally-efficient, and low-inference time automatic modulation cl…