Edge Intelligence: Challenges and Opportunities of Near-Sensor Machine Learning Applications. - George Plastiras; Maria Terzi; Christos Kyrkou; Theocharis Theocharides (ASAP, 2018)

DroNet: Efficient convolutional neural network detector for real-time UAV applications. - Christos Kyrkou; George Plastiras; Theocharis Theocharides; Stylianos I. Venieris; Christos-Savvas Bouganis (DATE, 2018)

Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing. - George Plastiras; Christos Kyrkou; Theocharis Theocharides (ICDSC, 2018)

EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors. - George Plastiras; Christos Kyrkou; Theocharis Theocharides (ICDSC, 2019)

Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges. - Alberto Marchisio; Muhammad Abdullah Hanif; Faiq Khalid; George Plastiras; Christos Kyrkou; Theocharis Theocharides; Muhammad Shafique 001 (ISVLSI, 2019)

Towards an Embedded and Real-Time Joint Human-Machine Monitoring Framework: Dataset optimization Techniques for Anomaly Detection. - Rafaella Elia; George Plastiras; Theocharis Theocharides (VLSI-SoC, 2019)

Efficient Embedded Deep Neural-Network-based Object Detection Via Joint Quantization and Tiling. - George Plastiras; Shahid Siddiqui; Christos Kyrkou; Theocharis Theocharides (AICAS, 2020)

A real-world data collection framework for a fused dataset creation for joint human and remotely operated vehicle monitoring and anomalous command detection. - Rafaella Elia; George Plastiras; Eva Pettemeridou; Antonis Savva; Theocharis Theocharides (CAAI Trans. Intell. Technol., 2022)