Element detection relying on information retrieval techniques applied to laser spectroscopy. - Giuseppe Amato 001; Stefano Legnaioli; Giulia Lorenzetti; Vincenzo Palleschi; Lorenzo Pardini; Fausto Rabitti (SISAP, 2011)

Determining the composition of bronze alloys by means of high-dimensional feature selection and Artificial Neural Networks. - Eleonora D'Andrea; Beatrice Lazzerini; Vincenzo Palleschi; Stefano Pagnotta (I2MTC, 2015)

Application of Graph Theory to the elaboration of personal genomic data for genealogical research. - Vincenzo Palleschi; Luca Pagani 002; Stefano Pagnotta; Giuseppe Amato 001; Sergio Tofanelli (PeerJ Prepr., 2015)

Combining Multiple Neural Networks to Predict Bronze Alloy Elemental Composition. - Eleonora D'Andrea; Beatrice Lazzerini; Vincenzo Palleschi (Advances in Neural Networks, 2016)

A New Infrared True-Color Approach for Visible-Infrared Multispectral Image Analysis. - Emanuela Grifoni; Beatrice Campanella; Stefano Legnaioli; Giulia Lorenzetti; Luciano Marras; Stefano Pagnotta; Vincenzo Palleschi; Francesco Poggialini; Emanuele Salerno; Anna Tonazzini (ACM Journal on Computing and Cultural Heritage, 2019)

Multispectral imaging to reveal ancient hieroglyphic text in an Egyptian Stele. - Alessia Spoladore; Tiziana Cavaleri; Stefano Legnaioli; Vincenzo Palleschi (CIST, 2021)

Rapid Identification of Beached Marine Plastics Pellets Using Laser-Induced Breakdown Spectroscopy: A Promising Tool for the Quantification of Coastal Pollution. - Roberta Giugliano; Bruno Cocciaro; Francesco Poggialini; Stefano Legnaioli; Vincenzo Palleschi; Marina Locritani; Silvia Merlino (Sensors, 2022)

Feasibility Study for the Development of a Low-Cost, Compact, and Fast Sensor for the Detection and Classification of Microplastics in the Marine Environment. - Bruno Cocciaro; Silvia Merlino; Marco Bianucci; Claudio Casani; Vincenzo Palleschi (Sensors, 2023)