activity
20182022
most citedRobust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

117 citations · 240 across the 9 of their papers we have counts for

collaborators

11 papers

cs.RO20229 cited

Towards a Fully Autonomous UAV Controller for Moving Platform Detection and Landing

Michalis Piponidis, Panayiotis Aristodemou, Theocharis Theocharides

While Unmanned Aerial Vehicles (UAVs) are increasingly deployed in several missions, their inability of reliable and consistent autonomous landing poses a major setback for deployi…

cs.LG20221 cited

A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring

Dimitris Papatheodoulou, Pavlos Pavlou, Stelios G. Vrachimis +3

Numerous real-world problems from a diverse set of application areas exist that exhibit temporal dependencies. We focus on a specific type of time series classification which we re…

cs.RO2022

Quantitative and Qualitative Assessment of Indoor Exploration Algorithms for Autonomous UAVs

Adil Farooq, Christos Laoudias, Panayiotis S. Kolios +1

Indoor exploration is an important task in disaster relief, emergency response scenarios, and Search And Rescue (SAR) missions. Unmanned Aerial Vehicle (UAV) systems can aid first…

cs.CV20214 cited

DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder

Andreas Papachristodoulou, Christos Kyrkou, Theocharis Theocharides

Autonomous vehicles increasingly rely on cameras to provide the input for perception and scene understanding and the ability of these models to classify their environment and objec…

cs.CV2021

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…

cs.CR2021117 cited

Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

Muhammad Shafique, Mahum Naseer, Theocharis Theocharides +4

Machine Learning (ML) techniques have been rapidly adopted by smart Cyber-Physical Systems (CPS) and Internet-of-Things (IoT) due to their powerful decision-making capabilities. Ho…