Marina Paolanti

发表

Learning-Based Screening of Endothelial Dysfunction From Photoplethysmographic Signals

Emanuele Frontoni, Sara Moccia, Chiara Calamanti, 2019, Electronics.

Robotic platform for deep change detection for rail safety and security

Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, 2017, 2017 European Conference on Mobile Robots (ECMR).

DEEP LEARNING FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUD

Roberto Pierdicca, Christian Morbidoni, Marina Paolanti, 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Accurate modeling of the microwave treatment in reverberating chamber. sanitation of agro food material

Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, 2015, 2015 IEEE 15th Mediterranean Microwave Symposium (MMS).

Exposure protocol setup for agro food treatment. Method and system for developing an application for heating in reverberation chamber

Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, 2015, 2015 IEEE 15th Mediterranean Microwave Symposium (MMS).

Deep understanding of shopper behaviours and interactions using RGB-D vision

Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, 2020, Machine Vision and Applications.

Automatic Classification for Anti Mixup Events in Advanced Manufacturing System

Roberto Pierdicca, Emanuele Frontoni, Adriano Mancini, 2015 .

Automatic Faults Detection of Photovoltaic Farms: solAIr, a Deep Learning-Based System for Thermal Images

Roberto Pierdicca, Primo Zingaretti, Marina Paolanti, 2020 .

Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation

Roberto Pierdicca, Fabio Remondino, Marina Paolanti, 2020, ISPRS Int. J. Geo Inf..

Visual and Textual Sentiment Analysis of Daily News Social Media Images by Deep Learning

Roberto Pierdicca, Emanuele Frontoni, Primo Zingaretti, 2019, ICIAP.

Digital interaction with 3D archaeological artefacts: evaluating user's behaviours at different representation scales

Roberto Pierdicca, Emanuele Frontoni, Paolo Clini, 2020, Digit. Appl. Archaeol. Cult. Heritage.

An Event Based Machine Learning Framework for Predictive Maintenance in Industry 4.0

Silvia Ceccacci, Maura Mengoni, Emanuele Frontoni, 2019 .

IoT and Engagement in the Ubiquitous Museum

Roberto Pierdicca, Marina Paolanti, Eva Savina Malinverni, 2019, Sensors.

Optimal production planning by reusing components

Emanuele Frontoni, Primo Zingaretti, Fabrizio Marinelli, 2016, 2016 24th Mediterranean Conference on Control and Automation (MED).

Evaluating Augmented and Virtual Reality in Education Through a User-Centered Comparative Study: SmartMarca Project

Roberto Pierdicca, Emanuele Frontoni, Marina Paolanti, 2020 .

A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing

Emanuele Frontoni, Luca Romeo, Adriano Mancini, 2020, IEEE Journal of Translational Engineering in Health and Medicine.

Design, Large-Scale Usage Testing, and Important Metrics for Augmented Reality Gaming Applications

Roberto Pierdicca, Emanuele Frontoni, Adriano Mancini, 2019, ACM Trans. Multim. Comput. Commun. Appl..

A Content Creation Tool for AR/VR Applications in Education: The ScoolAR Framework

Roberto Pierdicca, Emanuele Frontoni, Marina Paolanti, 2020, AVR.

Robotic retail surveying by deep learning visual and textual data

Emanuele Frontoni, Luca Romeo, Adriano Mancini, 2019, Robotics Auton. Syst..

User-Centered Predictive Model for Improving Cultural Heritage Augmented Reality Applications: An HMM-Based Approach for Eye-Tracking Data

Roberto Pierdicca, Emanuele Frontoni, Marina Paolanti, 2018, J. Imaging.

A sensor fusion approach for measuring emotional customer experience in an intelligent retail environment

Emanuele Frontoni, Luca Romeo, Lucio Ciabattoni, 2017, 2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin).

Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage

Roberto Pierdicca, Emanuele Frontoni, Christian Morbidoni, 2020, Remote. Sens..

Customer Experience: A Design Approach and Supporting Platform

Silvia Ceccacci, Maura Mengoni, Roberto Pierdicca, 2017, PRO-VE.

Convolutional Networks for Semantic Heads Segmentation using Top-View Depth Data in Crowded Environment

Emanuele Frontoni, Primo Zingaretti, Marina Paolanti, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Sharing health data among general practitioners: The Nu.Sa. project

Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, 2019, Int. J. Medical Informatics.

Fall detection for elderly-people monitoring using learned features and recurrent neural networks

Emanuele Frontoni, Sara Moccia, Lucia Migliorelli, 2020, Experimental Results.

DEEP CONVOLUTIONAL NEURAL NETWORKS FOR SENTIMENT ANALYSIS OF CULTURAL HERITAGE

Roberto Pierdicca, Emanuele Frontoni, Primo Zingaretti, 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection

Emanuele Frontoni, Luca Romeo, Primo Zingaretti, 2018, Sensors.

A business application of RTLS technology in Intelligent Retail Environment: Defining the shopper's preferred path and its segmentation

Emanuele Frontoni, Marina Paolanti, Valerio Placidi, 2019, Journal of Retailing and Consumer Services.

People Detection and Tracking from an RGB-D Camera in Top-View Configuration: Review of Challenges and Applications

Emanuele Frontoni, Primo Zingaretti, Marina Paolanti, 2017, ICIAP Workshops.

Automatic Mosaic Digitalization: a Deep Learning approach to tessera segmentation

Roberto Pierdicca, Primo Zingaretti, Marina Paolanti, 2018, 2018 Metrology for Archaeology and Cultural Heritage (MetroArchaeo).

Machine Learning approach for Predictive Maintenance in Industry 4.0

Emanuele Frontoni, Luca Romeo, Adriano Mancini, 2018, 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA).

Multidisciplinary Pattern Recognition applications: A review

Emanuele Frontoni, Marina Paolanti, E. Frontoni, 2020, Comput. Sci. Rev..

Image enhancement comparison to improve underwater cultural heritage survey

S. Chiappini, Marina Paolanti, E S Malinverni, 2020, IOP Conference Series: Materials Science and Engineering.

Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction

Emanuele Frontoni, Luca Romeo, Chiara Calamanti, 2018, 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA).

Modelling and Forecasting Customer Navigation in Intelligent Retail Environments

Emanuele Frontoni, Adriano Mancini, Marina Paolanti, 2018, J. Intell. Robotic Syst..

An IoT Edge-Fog-Cloud Architecture for Vision Based Planogram Integrity

Emanuele Frontoni, Primo Zingaretti, Marina Paolanti, 2019, ICDSC.

Open-World Person Re-Identification With RGBD Camera in Top-View Configuration for Retail Applications

Emanuele Frontoni, Marina Paolanti, Massimo Martini, 2020, IEEE Access.

Automatic Analysis of Eye-Tracking Data for Augmented Reality Applications: A Prospective Outlook

Roberto Pierdicca, Emanuele Frontoni, Marina Paolanti, 2016, AVR.

Person Re-identification Dataset with RGB-D Camera in a Top-View Configuration

Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, 2016, VAAM/FFER@ICPR.

Semantic 3D Object Maps for Everyday Robotic Retail Inspection

Roberto Pierdicca, Emanuele Frontoni, Adriano Mancini, 2019, ICIAP Workshops.

People Counting in Crowded Environment and Re-identification

Emanuele Frontoni, Marina Paolanti, Rocco Pietrini, 2019, RGB-D Image Analysis and Processing.

An Innovative Design Support System for Industry 4.0 Based on Machine Learning Approaches

Emanuele Frontoni, Luca Romeo, Marina Paolanti, 2018, 2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA).

Visual and Textual Sentiment Analysis of Brand-Related Social Media Pictures Using Deep Convolutional Neural Networks

Emanuele Frontoni, Primo Zingaretti, Marina Paolanti, 2017, ICIAP.

Learning from Synthetic Point Cloud Data for Historical Buildings Semantic Segmentation

Ramona Quattrini, Roberto Pierdicca, Christian Morbidoni, 2020, ACM Journal on Computing and Cultural Heritage.

AI4AR: An AI-Based Mobile Application for the Automatic Generation of AR Contents

Roberto Pierdicca, Emanuele Frontoni, Marina Paolanti, 2020, AVR.

Development of an automatic procedure to mechanically characterize soft tissue materials

Emanuele Frontoni, Marina Paolanti, Bernardo Innocenti, 2016, 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA).

Mo.Se.: Mosaic image segmentation based on deep cascading learning

Roberto Pierdicca, Primo Zingaretti, Marina Paolanti, 2021 .

An Agent Based WCET Analysis for Top-View Person Re-Identification

Emanuele Frontoni, Marina Paolanti, Michele Bernardini, 2018, RTcMAS@IJCAI.

SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0

Silvia Ceccacci, Maura Mengoni, Emanuele Frontoni, 2020, Inf..

A Visual Attentive Model for Discovering Patterns in Eye-Tracking Data—A Proposal in Cultural Heritage

Ramona Quattrini, Roberto Pierdicca, Emanuele Frontoni, 2020, Sensors.

DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS

Roberto Pierdicca, Primo Zingaretti, Marina Paolanti, 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Automatic Generation of Point Cloud Synthetic Dataset for Historical Building Representation

Roberto Pierdicca, Emanuele Frontoni, Marina Paolanti, 2019, AVR.

Measuring and Assessing Augmented Reality Potential for Educational Purposes: SmartMarca Project

Roberto Pierdicca, Emanuele Frontoni, Marina Paolanti, 2019, AVR.

Identifying the use of a park based on clusters of visitors' movements from mobile phone data

Roberto Pierdicca, Emanuele Frontoni, Marina Paolanti, 2019, J. Spatial Inf. Sci..

Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0

Emanuele Frontoni, Luca Romeo, Adriano Mancini, 2020, Expert Syst. Appl..

Mobile robot for retail surveying and inventory using visual and textual analysis of monocular pictures based on deep learning

Emanuele Frontoni, Adriano Mancini, Primo Zingaretti, 2017, 2017 European Conference on Mobile Robots (ECMR).

CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment

Emanuele Frontoni, Primo Zingaretti, Marina Paolanti, 2018, RRPR.

Design of an interoperable framework with domotic sensors network integration

Emanuele Frontoni, Primo Zingaretti, Marina Paolanti, 2017, 2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin).

Deep Learning Approaches for Fashion Knowledge Extraction From Social Media: A Review

Emanuele Frontoni, Primo Zingaretti, Marina Paolanti, 2022, IEEE Access.

GENERATIVE NETWORKS FOR POINT CLOUD GENERATION IN CULTURAL HERITAGE DOMAIN

Ramona Quattrini, Roberto Pierdicca, Emanuele Frontoni, 2021 .

An offline parallel architecture for forensic multimedia classification

Emanuele Frontoni, Luca Spalazzi, Marina Paolanti, 2021, Multimedia Tools and Applications.

Immersive Insights: Virtual Tour Analytics System for Understanding Visitor Behavior

Roberto Pierdicca, Marina Paolanti, Andrea Felicetti, 2021, AVR.

Weight Estimation from an RGB-D camera in top-view configuration

Emanuele Frontoni, Nicola Conci, Primo Zingaretti, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Automatic Classification of Human Granulosa Cells in Assisted Reproductive Technology using vibrational spectroscopy imaging

Emanuele Frontoni, Marina Paolanti, Marco Mameli, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Measuring and evaluating visitors' behaviors inside museums: the Co.ME. project

Roberto Pierdicca, Adriano Mancini, Marina Paolanti, 2021 .

Human trajectory prediction and generation using LSTM models and GANs

Roberto Pierdicca, Emanuele Frontoni, Marina Paolanti, 2021, Pattern Recognit..

Tourism destination management using sentiment analysis and geo-location information: a deep learning approach

Roberto Pierdicca, Emanuele Frontoni, Adriano Mancini, 2021, J. Inf. Technol. Tour..

eTourism: ICT and its role for tourism management

Roberto Pierdicca, Emanuele Frontoni, Marina Paolanti, 2019, Journal of Hospitality and Tourism Technology.

Accurate Modeling of the Microwave Treatment of Works of Art

Roberto Pierdicca, Emanuele Frontoni, Marina Paolanti, 2019, Sustainability.