A technique for automatically reprogramming an embedded Linux system. - Gianluca Valentino; Saviour Zammit (EUROCON, 2011)

Automatic Threshold Selection for BLM Signals during LHC Collimator Beam-Based Alignment. - Gianluca Valentino; Ralph Assmann; Roderik Bruce; Stefano Redaelli; Nicholas Sammut (EMS, 2012)

Image mosaicing of tunnel wall images using high level features. - Leanne Attard; Carl James Debono; Gianluca Valentino; Mario Di Castro (ISPA, 2017)

Collision Avoidance System for the RP Survey and Visual Inspection Train in the CERN Large Hadron Collider. - Leander Grech; Gianluca Valentino; Mario Di Castro; Carlos Veiga Almagro (CASE, 2018)

A comprehensive virtual reality system for tunnel surface documentation and structural health monitoring. - Leanne Attard; Carl James Debono; Gianluca Valentino; Mario Di Castro; John Andrew Osborne; Luigi Scibile; Manuel Ferre (IST, 2018)

An RGB-D video-based wire detection tool to aid robotic arms during machine alignment measurement. - Leanne Attard; Carl James Debono; Gianluca Valentino; Mario Di Castro; Maria Laura Baiguera Tambutti (IST, 2018)

Automatic Crack Detection using Mask R-CNN. - Leanne Attard; Carl James Debono; Gianluca Valentino; Mario Di Castro; Alessandro Masi; Luigi Scibile (ISPA, 2019)

Automated segmentation of microtomography imaging of Egyptian mummies. - Marc Tanti; Camille Berruyer; Paul Tafforeau; Adrian Muscat; Reuben A. Farrugia; Kenneth Scerri; Gianluca Valentino; V. Armando Solé; Johann A. Briffa (CoRR, 2021)

Beam Measurements and Machine Learning at the CERN Large Hadron Collider. - Pasquale Arpaia; Gabriella Azzopardi; Frédéric Blanc; Xavier Buffat; Loic Coyle; Elena Fol; Francesco Giordano; Massimo Giovannozzi; Tatiana Pieloni; Roberto Prevete; Stefano Redaelli; Belen Salvachua; et al. (IEEE Instrum. Meas. Mag., 2021)

Machine Learning Applied to the Analysis of Nonlinear Beam Dynamics Simulations for the CERN Large Hadron Collider and Its Luminosity Upgrade. - Massimo Giovannozzi; Ewen Maclean; Carlo Emilio Montanari; Gianluca Valentino; Frederik Florentinus Van der Veken (Inf., 2021)

A Machine Learning Approach for the Tune Estimation in the LHC. - Leander Grech; Gianluca Valentino; Diogo Alves (Inf., 2021)

Vision-Based Tunnel Lining Health Monitoring via Bi-Temporal Image Comparison and Decision-Level Fusion of Change Maps. - Leanne Attard; Carl James Debono; Gianluca Valentino; Mario Di Castro (Sensors, 2021)

Optically Enhanced Super-Resolution of Sea Surface Temperature Using Deep Learning. - David T. Lloyd; Aaron Abela; Reuben A. Farrugia; Anthony Galea; Gianluca Valentino (IEEE Trans. Geosci. Remote. Sens., 2022)

Multitemporal and Multispectral Data Fusion for Super-Resolution of Sentinel-2 Images. - Tomasz Tarasiewicz; Jakub Nalepa; Reuben A. Farrugia; Gianluca Valentino; Mang Chen; Johann A. Briffa; Michal Kawulok (IEEE Trans. Geosci. Remote. Sens., 2023)

Evaluating Characteristics of an Active Coastal Spreading Area Combining Geophysical Data with Satellite, Aerial, and Unmanned Aerial Vehicles Images. - Emanuele Colica; Luciano Galone; Sebastiano D'Amico; Adam Gauci; Roberto Iannucci; Salvatore Martino; Davide Pistillo; Peter Iregbeyen; Gianluca Valentino (Remote. Sens., 2023)

A novel fault detection method for rotating machinery based on self-supervised contrastive representations. - Zhe Yang 014; Yunwei Huang; Faisal Nazeer; Yanyang Zi; Gianluca Valentino; Chuan Li 003; Jianyu Long; Huiyu Huang (Comput. Ind., 2023)