Edoardo Ragusa

Hardware-Aware Neural Architecture Search for Encrypted Traffic Classification on Resource-Constrained Devices

This paper presents a hardware-efficient deep neural network (DNN), optimized through hardware-aware neural architecture search (HW-NAS); the DNN supports the classification of session-level...

Container Localisation and Mass Estimation with an RGB-D Camera

In the research area of human-robot interactions, the automatic estimation of the mass of a container manipulated by a person leveraging only visual information is a challenging task. The main...

Affordance segmentation of hand-occluded containers from exocentric images

Visual affordance segmentation identifies the surfaces of an object an agent can interact with. Common challenges for the identification of affordances are the variety of the geometry and physical...

RepTC: Representation-Aware Optimization for Efficient Traffic Classification on Edge IoT Devices

Traffic classification (TC) is crucial to secure Internet of Things (IoT) networks, whose edge nodes often operate under privacy, bandwidth, and energy constraints. Yet, encrypted payloads and...

Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller

1-D Convolutional Neural Networks for Touch Modalities Classification

A pose-based hand image classification method retrainable on embedded target devices

An Affordance Detection Pipeline for Resource-Constrained Devices

A Pipelined Implementation of the $n$-mode Tensor-Matrix Multiplication

A Computationally Light Pruning Strategy for Single Layer Neural Networks based on Threshold Function

Data-Driven Video Grasping Classification for Low-Power Embedded System

Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization

Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication

Automatic Aging Prediction of High Voltage Apparatus Based on Differential Measurements

Tiny Neural Networks for Session-Level Traffic Classification

Video Grasping Classification Enhanced with Automatic Annotations

Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded Systems

Evaluating the Effect of Intrinsic Sensor Noise for Vibration Diagnostic in the Compressed Domain Using Convolutional Neural Networks