activity
20202026
most citedBlockchain-based Recommender Systems: Applications, Challenges and Future Opportunities

102 citations · 248 across the 22 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.CV2024★ 2 cited

Applications of Knowledge Distillation in Remote Sensing: A Survey

Yassine Himeur, Nour Aburaed, Omar Elharrouss +4

With the ever-growing complexity of models in the field of remote sensing (RS), there is an increasing demand for solutions that balance model accuracy with computational efficienc…

cs.CL2024

Entity Extraction from High-Level Corruption Schemes via Large Language Models

Panagiotis Koletsis, Panagiotis-Konstantinos Gemos, Christos Chronis +3

The rise of financial crime that has been observed in recent years has created an increasing concern around the topic and many people, organizations and governments are more and mo…

cs.CR2024

Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment

Artemis Stefanidou, Jorgen Cani, Thomas Papadopoulos +4

Over the recent years, the protection of the so-called `soft-targets', i.e. locations easily accessible by the general public with relatively low, though, security measures, has em…

cs.MA2024

Multi-robot maze exploration using an efficient cost-utility method

Manousos Linardakis, Iraklis Varlamis, Georgios Th. Papadopoulos

In the field of modern robotics, robots are proving to be useful in tackling high-risk situations, such as navigating hazardous environments like burning buildings, earthquake-stri…

cs.MA2024★ 1 cited

Distributed maze exploration using multiple agents and optimal goal assignment

Manousos Linardakis, Iraklis Varlamis, Georgios Th. Papadopoulos

Robotic exploration has long captivated researchers aiming to map complex environments efficiently. Techniques such as potential fields and frontier exploration have traditionally…

cs.LG2024★ 1 cited

Sampling Strategies for Mitigating Bias in Face Synthesis Methods

Emmanouil Maragkoudakis, Symeon Papadopoulos, Iraklis Varlamis +1

Synthetically generated images can be used to create media content or to complement datasets for training image analysis models. Several methods have recently been proposed for the…

cs.LG2024

Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study

Christos Sardianos, Chrysostomos Symvoulidis, Matthias Schlögl +2

The developing field of enhanced diagnostic techniques in the diagnosis of infectious diseases, constitutes a crucial domain in modern healthcare. By utilizing Gas Chromatography-I…