226 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of CyprusCY12 papers
- Aristotle University of ThessalonikiGR2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Politecnico di TorinoIT2 papers
- University of GlasgowGB2 papers
- Adam Mickiewicz University in PoznańPL1 paper
- Argonne National LaboratoryUS1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Asia Pacific Center for Theoretical PhysicsKR1 paper
- Athens University of Economics and BusinessGR1 paper
- Beijing Normal UniversityCN1 paper
- Brookhaven National LaboratoryUS1 paper
18 papers
Impact Assessment Card: Communicating Risks and Benefits of AI Uses
Edyta Bogucka, Marios Constantinides, Sanja Šćepanović +1
Communicating the risks and benefits of AI is important for regulation and public understanding. Yet current methods such as technical reports often exclude people without technica…
Adaptive Out-of-Control Point Pattern Detection in Sequential Random Finite Set Observations
Konstantinos Bourazas, Savvas Papaioannou, Panayiotis Kolios
In this work we introduce a novel adaptive anomaly detection framework specifically designed for monitoring sequential random finite set (RFS) observations. Our approach effectivel…
Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents
Despina Tomkou, George Fatouros, Andreas Andreou +6
This paper introduces a novel integration of Retrieval-Augmented Generation (RAG) enhanced Large Language Models (LLMs) with Extended Reality (XR) technologies to address knowledge…
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach
Georgios Tertytchny, Georgios L. Stavrinides, Maria K. Michael
To address the challenges of imbalanced multi-class datasets typically used for rare event detection in critical cyber-physical systems, we propose an optimal, efficient, and adapt…
Transformer-based Multivariate Time Series Anomaly Localization
Charalampos Shimillas, Kleanthis Malialis, Konstantinos Fokianos +1
With the growing complexity of Cyber-Physical Systems (CPS) and the integration of Internet of Things (IoT), the use of sensors for online monitoring generates large volume of mult…
Spatiotemporal Object Detection for Improved Aerial Vehicle Detection in Traffic Monitoring
Kristina Telegraph, Christos Kyrkou
This work presents advancements in multi-class vehicle detection using UAV cameras through the development of spatiotemporal object detection models. The study introduces a Spatio-…
Model Predictive Control For Multiple Castaway Tracking with an Autonomous Aerial Agent
Andreas Anastasiou, Savvas Papaioannou, Panayiotis Kolios +1
Over the past few years, a plethora of advancements in Unmanned Areal Vehicle (UAV) technology has paved the way for UAV-based search and rescue operations with transformative impa…
Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil Infrastructure
June Moh Goo, Xenios Milidonis, Alessandro Artusi +2
Detecting and segmenting cracks in infrastructure, such as roads and buildings, is crucial for safety and cost-effective maintenance. In spite of the potential of deep learning, th…
DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization
Jose Luis Ponton, Eduard Pujol, Andreas Aristidou +2
High-quality motion reconstruction that follows the user's movements can be achieved by high-end mocap systems with many sensors. However, obtaining such animation quality with few…
Artificial Intelligence in Everyday Life 2.0: Educating University Students from Different Majors
Maria Kasinidou, Styliani Kleanthous, Matteo Busso +3
With the surge in data-centric AI and its increasing capabilities, AI applications have become a part of our everyday lives. However, misunderstandings regarding their capabilities…
A Multi-task Learning Framework for Drone State Identification and Trajectory Prediction
Antreas Palamas, Nicolas Souli, Tania Panayiotou +2
The rise of unmanned aerial vehicle (UAV) operations, as well as the vulnerability of the UAVs' sensors, has led to the need for proper monitoring systems for detecting any abnorma…
(Un)fair devices: Moving beyond AI accuracy in personal sensing
Sofia Yfantidou, Marios Constantinides, Dimitris Spathis +3
Personal devices are omnipresent in our lives, seamlessly monitoring our activities, from smart rings tracking sleep patterns to smartwatches keeping an eye on missed heartbeats. T…
Precision Studies of QCD in the Low Energy Domain of the EIC
V. Burkert, L. Elouadrhiri, A. Afanasev +11
The manuscript focuses on the high impact science of the EIC with objective to identify a portion of the science program for QCD precision studies that requires or greatly benefits…
Pose Representations for Deep Skeletal Animation
Nefeli Andreou, Andreas Aristidou, Yiorgos Chrysanthou
Data-driven character animation techniques rely on the existence of a properly established model of motion, capable of describing its rich context. However, commonly used motion re…
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion
Christos Kyrkou, Theocharis Theocharides
Deep learning-based algorithms can provide state-of-the-art accuracy for remote sensing technologies such as unmanned aerial vehicles (UAVs)/drones, potentially enhancing their rem…
A Privacy-Preserving Architecture for the Protection of Adolescents in Online Social Networks
Markos Charalambous, Petros Papagiannis, Antonis Papasavva +8
Online social networks (OSN) constitute an integral part of people's every day social activity. Specifically, mainstream OSNs such as Twitter, YouTube, and Facebook are especially…
A Modular End-to-End Framework for Secure Firmware Updates on Embedded Systems
Solon Falas, Charalambos Konstantinou, Maria K. Michael
Firmware refers to device read-only resident code which includes microcode and macro-instruction -level routines. For Internet-of-Things (IoT) devices without an operating system,…
Formalizing and Implementing Distributed Ledger Objects
Antonio Fernández Anta, Chryssis Georgiou, Kishori Konwar +1
Despite the hype about blockchains and distributed ledgers, no formal abstraction of these objects has been proposed. To face this issue, in this paper we provide a proper formulat…