Automatic Generation of Point Cloud Synthetic Dataset for Historical Building Representation. - Roberto Pierdicca; Marco Mameli; Eva Savina Malinverni; Marina Paolanti; Emanuele Frontoni (AVR (1), 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)

Assisted Ventilation Control Based on Phase and Frequency Estimation of Respiratory Drift. - Laura D'Orsi; Marco Mameli; Alessandro Borri; Andrea De Gaetano (SMC, 2019)

Weight Estimation from an RGB-D camera in top-view configuration. - Marco Mameli; Marina Paolanti; Nicola Conci; Filippo Tessaro; Emanuele Frontoni; Primo Zingaretti (ICPR, 2020)

Automatic Classification of Human Granulosa Cells in Assisted Reproductive Technology using vibrational spectroscopy imaging. - Marina Paolanti; Marco Mameli; Emanuele Frontoni; Giorgia Gioacchini; Elisabetta Giorgini; Valentina Notarstefano; Carlotta Zacà; Oliana Carnevali; Andrea Bonarini (ICPR, 2020)

People Counting on Low Cost Embedded Hardware During the SARS-CoV-2 Pandemic. - Giulia Pazzaglia; Marco Mameli; Luca Rossi 007; Marina Paolanti; Adriano Mancini; Primo Zingaretti; Emanuele Frontoni (ICPR Workshops (2), 2020)

A Visual Attentive Model for Discovering Patterns in Eye-Tracking Data - A Proposal in Cultural Heritage. - Roberto Pierdicca; Marina Paolanti; Ramona Quattrini; Marco Mameli; Emanuele Frontoni (Sensors, 2020)

Overcoming the Limits of a Neural Network for Character-Scene Interactions. - Marco Mameli; Dario De Carolis; Emanuele Frontoni; Primo Zingaretti (AVR, 2021)

Detection and Classification of Defects in Plastic Components Using a Deep Learning Approach. - Marco Mameli; Marina Paolanti; Adriano Mancini; Emanuele Frontoni; Primo Zingaretti (IAS, 2021)

Can AI Replace Conventional Markerless Tracking? A Comparative Performance Study for Mobile Augmented Reality Based on Artificial Intelligence. - Roberto Pierdicca; Flavio Tonetto; Marco Mameli; Riccardo Rosati 002; Primo Zingaretti (XR (2), 2022)

MONstEr: A Deep Learning-Based System for the Automatic Generation of Gaming Assets. - Michele Brocchini; Marco Mameli; Emanuele Balloni; Laura Della Sciucca; Luca Rossi 007; Marina Paolanti; Emanuele Frontoni; Primo Zingaretti (ICIAP Workshops (1), 2022)

StyleTrendGAN: A Deep Learning Generative Framework for Fashion Bag Generation. - Laura Della Sciucca; Emanuele Balloni; Marco Mameli; Emanuele Frontoni; Primo Zingaretti; Marina Paolanti (ICIAP Workshops, 2022)

FakeNED: A Deep Learning Based-System for Fake News Detection from Social Media. - Laura Della Sciucca; Marco Mameli; Emanuele Balloni; Luca Rossi 007; Emanuele Frontoni; Primo Zingaretti; Marina Paolanti (ICIAP Workshops (1), 2022)

Deep Learning Approaches for Fashion Knowledge Extraction From Social Media: A Review. - Marco Mameli; Marina Paolanti; Rocco Pietrini; Giulia Pazzaglia; Emanuele Frontoni; Primo Zingaretti (IEEE Access, 2022)

Social media analytics system for action inspection on social networks. - Marco Mameli; Marina Paolanti; Christian Morbidoni; Emanuele Frontoni; Antonio Teti (Soc. Netw. Anal. Min., 2022)

Deep Reinforced Navigation of Agents in 2D Platform Video Games. - Emanuele Balloni; Marco Mameli; Adriano Mancini; Primo Zingaretti (CGI (3), 2023)

Investigation on the Encoder-Decoder Application for Mesh Generation. - Marco Mameli; Emanuele Balloni; Adriano Mancini; Emanuele Frontoni; Primo Zingaretti (CGI, 2023)

DeepReality: An open source framework to develop AI-based augmented reality applications. - Roberto Pierdicca; Flavio Tonetto; Marina Paolanti; Marco Mameli; Riccardo Rosati 002; Primo Zingaretti (Expert Syst. Appl., 2024)

RenderGAN: Enhancing Real-time Rendering Efficiency with Deep Learning. - Marco Mameli; Marina Paolanti; Adriano Mancini; Primo Zingaretti; Roberto Pierdicca (ACM Trans. Multim. Comput. Commun. Appl., 2025)