226 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of CyprusCY25 papers
- Imperial College LondonGB8 papers
- University of TriesteIT6 papers
- Tel Aviv UniversityIL3 papers
- University of GlasgowGB3 papers
- University of PisaIT3 papers
- RMIT UniversityAU2 papers
- Athens Information TechnologyGR1 paper
- CentraleSupélecFR1 paper
- Cyprus Research and Innovation Center (Cyprus)CY1 paper
- Cyprus University of TechnologyCY1 paper
- Czech Technical University in PragueCZ1 paper
26 papers
Data augmentation on-the-fly and active learning in data stream classification
Kleanthis Malialis, Dimitris Papatheodoulou, Stylianos Filippou +2
There is an emerging need for predictive models to be trained on-the-fly, since in numerous machine learning applications data are arriving in an online fashion. A critical challen…
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification
Kleanthis Malialis, Manuel Roveri, Cesare Alippi +2
In real-world applications, the process generating the data might suffer from nonstationary effects (e.g., due to seasonality, faults affecting sensors or actuators, and changes in…
Survey on Machine Learning for Traffic-Driven Service Provisioning in Optical Networks
Tania Panayiotou, Maria Michalopoulou, Georgios Ellinas
The unprecedented growth of the global Internet traffic, coupled with the large spatio-temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are…
Modeling Soft-Failure Evolution for Triggering Timely Repair with Low QoT Margins
Sadananda Behera, Tania Panayiotou, Georgios Ellinas
In this work, the capabilities of an encoder-decoder learning framework are leveraged to predict soft-failure evolution over a long future horizon. This enables the triggering of t…
SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities
Koorosh Aslansefat, Panagiota Nikolaou, Martin Walker +9
The use of Unmanned Arial Vehicles (UAVs) offers many advantages across a variety of applications. However, safety assurance is a key barrier to widespread usage, especially given…
Periodic and Event-Triggering for Joint Capacity Maximization and Safe Intersection Crossing
Christian Vitale, Panayiotis Kolios, Georgios Ellinas
Intersection crossing represents a bottleneck for transportation systems and Connected Autonomous Vehicles (CAVs) may be the groundbreaking solution to the problem. This work propo…
Adaptive Frequency Band Selection for Accurate and Fast Positioning utilizing SOPs
Nicolas Souli, Panayiotis Kolios, Georgios Ellinas
Signals of opportunity (SOPs) are a promising technique that can be used for relative positioning in areas where global navigation satellite system (GNSS) information is unreliable…
An Autonomous Drone System with Jamming and Relative Positioning Capabilities
Nicolas Souli, Panayiotis Kolios, Georgios Ellinas
As the number of unauthorized operations of Unmanned Aerial Vehicles (UAVs) is rising, the implementation of a versatile counter-drone system is becoming a necessity. In this work,…
A Convex Optimal Control Framework for Autonomous Vehicle Intersection Crossing
Xiao Pan, Boli Chen, Stelios Timotheou +1
Cooperative vehicle management emerges as a promising solution to improve road traffic safety and efficiency. This paper addresses the speed planning problem for connected and auto…
Scheduling Aerial Vehicles in an Urban Air Mobility Scheme
Emmanouil S. Rigas, Panayiotis Kolios, Georgios Ellinas
Highly populated cities face several challenges, one of them being the intense traffic congestion. In recent years, the concept of Urban Air Mobility has been put forward by large…
On node ranking in graphs
Ekaterina Dudkina, Michelangelo Bin, Jane Breen +9
The ranking of nodes in a network according to their ``importance'' is a classic problem that has attracted the interest of different scientific communities in the last decades. Th…
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 Distributed Methodology for Approximate Uniform Global Minimum Sharing
Michelangelo Bin, Thomas Parisini
The paper deals with the distributed minimum sharing problem: a set of decision-makers compute the minimum of some local quantities of interest in a distributed and decentralized w…
Kemeny-based testing for COVID-19
Serife Yilmaz, Ekaterina Dudkina, Michelangelo Bin +6
Testing, tracking and tracing abilities have been identified as pivotal in helping countries to safely reopen activities after the first wave of the COVID-19 virus. Contact tracing…
YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart Camera Applications
Christos Kyrkou
Deep Learning-based object detectors can enhance the capabilities of smart camera systems in a wide spectrum of machine vision applications including video surveillance, autonomous…
Towards Distributed Accommodation of Covert Attacks in Interconnected Systems
Angelo Barboni, Thomas Parisini
The problem of mitigating maliciously injected signals in interconnected systems is dealt with in this paper. We consider the class of covert attacks, as they are stealthy and cann…
Fair Resource Allocation in Optical Networks under Tidal Traffic
Tania Panayiotou, Georgios Ellinas
We propose an alpha-fair routing and spectrum allocation (RSA) framework for reconfigurable elastic optical networks under modeled tidal traffic, that is based on the maximization…
Network Coding-based Routing and Spectrum Allocation in Elastic Optical Networks for Enhanced Physical Layer Security
Giannis Savva, Konstantinos Manousakis, Georgios Ellinas
In this work, an eavesdropping-aware routing and spectrum allocation approach is proposed utilizing network coding (NC) in elastic optical networks (EONs). To provide physical laye…
Relative Positioning of Autonomous Systems using Signals of Opportunity
Nicolas Souli, Panayiotis Kolios, Georgios Ellinas
For reliable operation, next generation autonomous agents will need enhanced situational perception as well as precise navigation capabilities. The global navigation satellite syst…
Post-Lockdown Abatement of COVID-19 by Fast Periodic Switching
M. Bin, P. Cheung, E. Crisostomi +8
COVID-19 abatement strategies have risks and uncertainties which could lead to repeating waves of infection. We show -- as proof of concept grounded on rigorous mathematical eviden…
Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks
Tania Panayiotou, Giannis Savva, Ioannis Tomkos +1
Dynamic network slicing has emerged as a promising and fundamental framework for meeting 5G's diverse use cases. As machine learning (ML) is expected to play a pivotal role in the…
Queue-based Resampling for Online Class Imbalance Learning
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
Online class imbalance learning constitutes a new problem and an emerging research topic that focusses on the challenges of online learning under class imbalance and concept drift.…
DroNet: Efficient convolutional neural network detector for real-time UAV applications
Christos Kyrkou, George Plastiras, Stylianos Venieris +2
Unmanned Aerial Vehicles (drones) are emerging as a promising technology for both environmental and infrastructure monitoring, with broad use in a plethora of applications. Many su…
Tensor-based Nonlinear Classifier for High-Order Data Analysis
Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis +2
In this paper we propose a tensor-based nonlinear model for high-order data classification. The advantages of the proposed scheme are that (i) it significantly reduces the number o…