Automatic Analysis of Eye-Tracking Data for Augmented Reality Applications: A Prospective Outlook. - Simona Naspetti; Roberto Pierdicca; Serena Mandolesi; Marina Paolanti; Emanuele Frontoni; Raffaele Zanoli (AVR (2), 2016)

Optimal production planning by reusing components. - Emanuele Frontoni; Fabrizio Marinelli 001; Marina Paolanti; Roberto Rosetti; Primo Zingaretti (MED, 2016)

Person Re-identification Dataset with RGB-D Camera in a Top-View Configuration. - Daniele Liciotti; Marina Paolanti; Emanuele Frontoni; Adriano Mancini; Primo Zingaretti (VAAM/FFER@ICPR, 2016)

Mobile robot for retail surveying and inventory using visual and textual analysis of monocular pictures based on deep learning. - Marina Paolanti; Mirco Sturari; Adriano Mancini; Primo Zingaretti; Emanuele Frontoni (ECMR, 2017)

Robotic platform for deep change detection for rail safety and security. - Mirco Sturari; Marina Paolanti; Emanuele Frontoni; Adriano Mancini; Primo Zingaretti (ECMR, 2017)

A sensor fusion approach for measuring emotional customer experience in an intelligent retail environment. - Lucio Ciabattoni; Emanuele Frontoni; Daniele Liciotti; Marina Paolanti; Luca Romeo (ICCE-Berlin, 2017)

Design of an interoperable framework with domotic sensors network integration. - Emanuele Frontoni; Daniele Liciotti; Marina Paolanti; Rama Pollini; Primo Zingaretti (ICCE-Berlin, 2017)

People Detection and Tracking from an RGB-D Camera in Top-View Configuration: Review of Challenges and Applications. - Daniele Liciotti; Marina Paolanti; Emanuele Frontoni; Primo Zingaretti (ICIAP Workshops, 2017)

Visual and Textual Sentiment Analysis of Brand-Related Social Media Pictures Using Deep Convolutional Neural Networks. - Marina Paolanti; Carolin Kaiser; René Schallner; Emanuele Frontoni; Primo Zingaretti (ICIAP (1), 2017)

Customer Experience: A Design Approach and Supporting Platform. - Maura Mengoni; Emanuele Frontoni; Luca Giraldi; Silvia Ceccacci; Roberto Pierdicca; Marina Paolanti (PRO-VE, 2017)

Convolutional Networks for Semantic Heads Segmentation using Top-View Depth Data in Crowded Environment. - Daniele Liciotti; Marina Paolanti; Rocco Pietrini; Emanuele Frontoni; Primo Zingaretti (ICPR, 2018)

An Agent Based WCET Analysis for Top-View Person Re-Identification. - Marina Paolanti; Valerio Placidi; Michele Bernardini; Andrea Felicetti; Rocco Pietrini; Emanuele Frontoni (RTcMAS@IJCAI, 2018)

Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction. - Chiara Calamanti; Marina Paolanti; Luca Romeo; Michele Bernardini; Emanuele Frontoni (MESA, 2018)

Machine Learning approach for Predictive Maintenance in Industry 4.0. - Marina Paolanti; Luca Romeo; Andrea Felicetti; Adriano Mancini; Emanuele Frontoni; Jelena Loncarski (MESA, 2018)

CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment. - Rocco Pietrini; Daniele Liciotti; Marina Paolanti; Emanuele Frontoni; Primo Zingaretti (RRPR, 2018)

User-Centered Predictive Model for Improving Cultural Heritage Augmented Reality Applications: An HMM-Based Approach for Eye-Tracking Data. - Roberto Pierdicca; Marina Paolanti; Simona Naspetti; Serena Mandolesi; Raffaele Zanoli; Emanuele Frontoni (J. Imaging, 2018)

Modelling and Forecasting Customer Navigation in Intelligent Retail Environments. - Marina Paolanti; Daniele Liciotti; Rocco Pietrini; Adriano Mancini; Emanuele Frontoni (J. Intell. Robotic Syst., 2018)

Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection. - Marina Paolanti; Luca Romeo; Daniele Liciotti; Rocco Pietrini; Annalisa Cenci; Emanuele Frontoni; Primo Zingaretti (Sensors, 2018)

Measuring and Assessing Augmented Reality Potential for Educational Purposes: SmartMarca Project. - Emanuele Frontoni; Marina Paolanti; Mariapaola Puggioni; Roberto Pierdicca; Michele Sasso (AVR (2), 2019)

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)

An IoT Edge-Fog-Cloud Architecture for Vision Based Planogram Integrity. - Rocco Pietrini; Davide Manco; Marina Paolanti; Valerio Placidi; Emanuele Frontoni; Primo Zingaretti (ICDSC, 2019)

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)

Sharing health data among general practitioners: The Nu.Sa. project. - Emanuele Frontoni; Adriano Mancini; Marco Baldi; Marina Paolanti; Sara Moccia; Primo Zingaretti; Vincenzo Landro; Paolo Misericordia (Int. J. Medical Informatics, 2019)

Identifying the use of a park based on clusters of visitors' movements from mobile phone data. - Roberto Pierdicca; Marina Paolanti; Raffaele Vaira; Ernesto Marcheggiani; Eva Savina Malinverni; Emanuele Frontoni (J. Spatial Inf. Sci., 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)

IoT and Engagement in the Ubiquitous Museum. - Roberto Pierdicca; Manuel Marques-Pita; Marina Paolanti; Eva Savina Malinverni (Sensors, 2019)

Design, Large-Scale Usage Testing, and Important Metrics for Augmented Reality Gaming Applications. - Roberto Pierdicca; Emanuele Frontoni; Primo Zingaretti; Adriano Mancini; Jelena Loncarski; Marina Paolanti (ACM Trans. Multim. Comput. Commun. Appl., 2019)

AI4AR: An AI-Based Mobile Application for the Automatic Generation of AR Contents. - Roberto Pierdicca; Marina Paolanti; Emanuele Frontoni; Lorenzo Baraldi 001 (AVR (1), 2020)

A Content Creation Tool for AR/VR Applications in Education: The ScoolAR Framework. - Mariapaola Puggioni; Emanuele Frontoni; Marina Paolanti; Roberto Pierdicca; Eva Savina Malinverni; Michele Sasso (AVR (2), 2020)

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)

Data-Driven Knowledge Discovery in Retail: Evidences from the Vending Machine's Industry. - Luca Marinelli; Marina Paolanti; Lorenzo Nardi; Patrizia Gabellini; Emanuele Frontoni; Gian Luca Gregori (ICPR Workshops (2), 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)

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

Multidisciplinary Pattern Recognition applications: A review. - Marina Paolanti; Emanuele Frontoni (Comput. Sci. Rev., 2020)

Digital interaction with 3D archaeological artefacts: evaluating user's behaviours at different representation scales. - Ramona Quattrini; Roberto Pierdicca; Marina Paolanti; Paolo Clini; Romina Nespeca; Emanuele Frontoni (Digit. Appl. Archaeol. Cult. Heritage, 2020)

Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0. - Luca Romeo; Jelena Loncarski; Marina Paolanti; Gianluca Bocchini; Adriano Mancini; Emanuele Frontoni (Expert Syst. Appl., 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)

SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0. - Matteo Calabrese; Martin Cimmino; Francesca Fiume; Martina Manfrin; Luca Romeo; Silvia Ceccacci; Marina Paolanti; Giuseppe Toscano; Giovanni Ciandrini; Alberto Carrotta; Maura Mengoni; Emanuele Frontoni; et al. (Inf., 2020)

Learning from Synthetic Point Cloud Data for Historical Buildings Semantic Segmentation. - Christian Morbidoni; Roberto Pierdicca; Marina Paolanti; Ramona Quattrini; Raissa Mammoli (ACM Journal on Computing and Cultural Heritage, 2020)

Deep understanding of shopper behaviours and interactions using RGB-D vision. - Marina Paolanti; Rocco Pietrini; Adriano Mancini; Emanuele Frontoni; Primo Zingaretti (Mach. Vis. Appl., 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)

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)

Immersive Insights: Virtual Tour Analytics System for Understanding Visitor Behavior. - Roberto Pierdicca; Michele Sasso; Flavio Tonetto; Francesca Bonelli; Andrea Felicetti; Marina Paolanti (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)

ScoolAR: An Educational Platform to Improve Students' Learning Through Virtual Reality. - Mariapaola Puggioni; Emanuele Frontoni; Marina Paolanti; Roberto Pierdicca (IEEE Access, 2021)

Tourism destination management using sentiment analysis and geo-location information: a deep learning approach. - Marina Paolanti; Adriano Mancini; Emanuele Frontoni; Andrea Felicetti; Luca Marinelli; Ernesto Marcheggiani; Roberto Pierdicca (J. Inf. Technol. Tour., 2021)

Human trajectory prediction and generation using LSTM models and GANs. - Luca Rossi 007; Marina Paolanti; Roberto Pierdicca; Emanuele Frontoni (Pattern Recognit., 2021)

Trusted Data Forever: Is AI the Answer? - Emanuele Frontoni; Marina Paolanti; Tracey P. Lauriault; Michael Stiber; Luciana Duranti; Muhammad Abdul-Mageed (EDBT/ICDT Workshops, 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)

PergaNet: A Deep Learning Framework for Automatic Appearance-Based Analysis of Ancient Parchment Collections. - Marina Paolanti; Rocco Pietrini; Laura Della Sciucca; Emanuele Balloni; Benedetto Luigi Compagnoni; Antonella Cesarini; Luca Fois; Pierluigi Feliciati; Emanuele Frontoni (ICIAP Workshops, 2022)

A Deep Learning-Based System for Product Recognition in Intelligent Retail Environment. - Rocco Pietrini; Luca Rossi 007; Adriano Mancini; Primo Zingaretti; Emanuele Frontoni; Marina Paolanti (ICIAP (2), 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)

An offline parallel architecture for forensic multimedia classification. - Luca Spalazzi; Marina Paolanti; Emanuele Frontoni (Multim. Tools Appl., 2022)

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

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)

Artificial Intelligence for the analysis of Cultural Heritage point clouds. - Marina Paolanti; Francesca Matrone; Tiberio Uricchio; Benedetta Giovanola; Emanuele Frontoni; Andrea Maria Lingua; Roberto Pierdicca (DH, 2023)

Precision Archaeology: a computational approach to archeological risk assessment. - Roberto Pierdicca; Tiberio Uricchio; Matteo Tadolti; Marina Paolanti; Emanuele Frontoni; Roberto Perna (DH, 2023)

A Computer Vision-Based Water Level Monitoring System for Touchless and Sustainable Water Dispensing. - Andrea Felicetti; Marina Paolanti; Rocco Pietrini; Adriano Mancini; Primo Zingaretti; Emanuele Frontoni (ICIAP (1), 2023)

GeomEthics: Ethical Considerations About Using Artificial Intelligence in Geomatics. - Ermanno Petrocchi; Simona Tiribelli; Marina Paolanti; Benedetta Giovanola; Emanuele Frontoni; Roberto Pierdicca (ICIAP Workshops (2), 2023)

Evaluating Learning Outcomes of Virtual Reality Applications in Education: A Proposal for Digital Cultural Heritage. - Marina Paolanti; Mariapaola Puggioni; Emanuele Frontoni; Lorella Giannandrea; Roberto Pierdicca (ACM Journal on Computing and Cultural Heritage, 2023)

Brain Visualizer: A Tool for EEG Data Processing and 3D Brain Activity Visualization. - Emanuele Balloni; Roberto Pierdicca; Marina Paolanti; Emiliano Santarnecchi (XR (2), 2024)

X-NR: Towards An Extended Reality-Driven Human Evaluation Framework for Neural-Rendering. - Lorenzo Stacchio; Emanuele Balloni; Lucrezia Gorgoglione; Marina Paolanti; Emanuele Frontoni; Roberto Pierdicca (XR (1), 2024)

A Data-Centric Module for Neural Rendering. - Emanuele Balloni; Lorenzo Stacchio; Lucrezia Gorgoglione; Marina Paolanti; Roberto Pierdicca; Adriano Mancini; Emanuele Frontoni; Primo Zingaretti (>ECCV Workshops (6), 2024)

Deep Armocromia: A Novel Dataset for Face Seasonal Color Analysis and Classification. - Lorenzo Stacchio; Marina Paolanti; Francesca Spigarelli; Emanuele Frontoni (ECCV Workshops (1), 2024)

XRAI-Ethics: Towards a Robust Ethical Analysis Framework for Extended Artificial Intelligence. - Lorenzo Stacchio; Roberto Pierdicca; Marina Paolanti; Primo Zingaretti; Emanuele Frontoni; Benedetta Giovanola; Simona Tiribelli (ISMAR-Adjunct, 2024)

Embedding AI ethics into the design and use of computer vision technology for consumer's behaviour understanding. - Simona Tiribelli; Benedetta Giovanola; Rocco Pietrini; Emanuele Frontoni; Marina Paolanti (Comput. Vis. Image Underst., 2024)

Comparative assessment of Neural Rendering methods for the 3D reconstruction of complex heritage sites in the inner areas of the Marche region - Italy. - Emanuele Balloni; David Ceka; Roberto Pierdicca; Marina Paolanti; Adriano Mancini; Primo Zingaretti (Digit. Appl. Archaeol. Cult. Heritage, 2024)

Social4Fashion: An intelligent expert system for forecasting fashion trends from social media contents. - Emanuele Balloni; Rocco Pietrini; Matteo Fabiani; Emanuele Frontoni; Adriano Mancini; Marina Paolanti (Expert Syst. Appl., 2024)

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)

Shelf Management: A deep learning-based system for shelf visual monitoring. - Rocco Pietrini; Marina Paolanti; Adriano Mancini; Emanuele Frontoni; Primo Zingaretti (Expert Syst. Appl., 2024)

Generalizability and robustness evaluation of attribute-based zero-shot learning. - Luca Rossi 007; Maria Chiara Fiorentino; Adriano Mancini; Marina Paolanti; Riccardo Rosati 002; Primo Zingaretti (Neural Networks, 2024)

Ethical Framework to Assess and Quantify the Trustworthiness of Artificial Intelligence Techniques: Application Case in Remote Sensing. - Marina Paolanti; Simona Tiribelli; Benedetta Giovanola; Adriano Mancini; Emanuele Frontoni; Roberto Pierdicca (Remote. Sens., 2024)

GREEN PATH: an expert system for space planning and design by the generation of human trajectories. - Marina Paolanti; Davide Manco; Rocco Pietrini; Emanuele Frontoni (Multim. Tools Appl., 2024)

Enhancing explainability of deep learning models for point cloud analysis: a focus on semantic segmentation. - Francesca Matrone; Marina Paolanti; Emanuele Frontoni; Roberto Pierdicca (Int. J. Digit. Earth, 2024)

Made-In: An immersive human-in-the-loop analytics platform for enhancing creative processes in fashion. - Emanuele Balloni; Rocco Pietrini; Michele Sasso; Emanuele Frontoni; Marina Paolanti (Comput. Vis. Image Underst., 2025)

A Neural Rendering system for fashion design process. - Emanuele Balloni; Lorenzo Stacchio; Adriano Mancini; Emanuele Frontoni; Primo Zingaretti; Marina Paolanti (Eng. Appl. Artif. Intell., 2025)

Editorial: Artificial intelligence: the new frontier in digital humanities. - Emanuele Frontoni; Marina Paolanti; Lucia Migliorelli; Rocco Pietrini; Stavros Asimakopoulos (Frontiers Comput. Sci., 2025)

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)

MineVRA: Exploring the Role of Generative AI-Driven Content Development in XR Environments through a Context-Aware Approach. - Lorenzo Stacchio; Emanuele Balloni; Emanuele Frontoni; Marina Paolanti; Primo Zingaretti; Roberto Pierdicca (IEEE Trans. Vis. Comput. Graph., 2025)