Visual and Textual Sentiment Analysis of Daily News Social Media Images by Deep Learning. - Andrea Felicetti; Massimo Martini; Marina Paolanti; Roberto Pierdicca; Emanuele Frontoni; Primo Zingaretti (ICIAP (1), 2019)

Semantic 3D Object Maps for Everyday Robotic Retail Inspection. - Marina Paolanti; Roberto Pierdicca; Massimo Martini; Francesco Di Stefano; Christian Morbidoni; Adriano Mancini; Eva Savina Malinverni; Emanuele Frontoni; Primo Zingaretti (ICIAP Workshops, 2019)

Crowd emotion detection to light up a smart Christmas tree. - Massimo Martini; Andrea Felicetti; Marco Mameli; Raffaele Vaira; Rocco Pietrini; Salvatore La Porta; Fabrizio Marconi; Isabella Lazzini (ISCT, 2019)

Robotic retail surveying by deep learning visual and textual data. - Marina Paolanti; Luca Romeo; Massimo Martini; Adriano Mancini; Emanuele Frontoni; Primo Zingaretti (Robotics Auton. Syst., 2019)

A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0. - Giulia Pazzaglia; Massimo Martini; Riccardo Rosati 002; Luca Romeo; Emanuele Frontoni (ICPR Workshops (4), 2020)

Open-World Person Re-Identification With RGBD Camera in Top-View Configuration for Retail Applications. - Massimo Martini; Marina Paolanti; Emanuele Frontoni (IEEE Access, 2020)

Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation. - Francesca Matrone; Eleonora Grilli; Massimo Martini; Marina Paolanti; Roberto Pierdicca; Fabio Remondino (ISPRS Int. J. Geo Inf., 2020)

Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage. - Roberto Pierdicca; Marina Paolanti; Francesca Matrone; Massimo Martini; Christian Morbidoni; Eva Savina Malinverni; Emanuele Frontoni; Andrea Maria Lingua (Remote. Sens., 2020)

SeSAME: Re-identification-based ambient intelligence system for museum environment. - Marina Paolanti; Roberto Pierdicca; Rocco Pietrini; Massimo Martini; Emanuele Frontoni (Pattern Recognit. Lett., 2022)

BubblEX: An Explainable Deep Learning Framework for Point-Cloud Classification. - Francesca Matrone; Marina Paolanti; Andrea Felicetti; Massimo Martini; Roberto Pierdicca (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Data augmentation strategy for generating realistic samples on defect segmentation task. - Massimo Martini; Riccardo Rosati 002; Luca Romeo; Adriano Mancini (ISM, 2023)