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Marina Paolanti
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2020 – today
- 2024
- [j34]Simona Tiribelli, Benedetta Giovanola, Rocco Pietrini
, Emanuele Frontoni, Marina Paolanti:
Embedding AI ethics into the design and use of computer vision technology for consumer's behaviour understanding. Comput. Vis. Image Underst. 248: 104142 (2024) - [j33]Emanuele Balloni
Comparative assessment of Neural Rendering methods for the 3D reconstruction of complex heritage sites in the inner areas of the Marche region - Italy. Digit. Appl. Archaeol. Cult. Heritage 35: 00371 (2024) - [j32]Roberto Pierdicca
DeepReality: An open source framework to develop AI-based augmented reality applications. Expert Syst. Appl. 249: 123530 (2024) - [j31]Emanuele Balloni
Social4Fashion: An intelligent expert system for forecasting fashion trends from social media contents. Expert Syst. Appl. 252: 124018 (2024) - [j30]Rocco Pietrini
Shelf Management: A deep learning-based system for shelf visual monitoring. Expert Syst. Appl. 255: 124635 (2024) - [j29]Marina Paolanti
GREEN PATH: an expert system for space planning and design by the generation of human trajectories. Multim. Tools Appl. 83(30): 74387-74411 (2024) - [j28]Luca Rossi
Generalizability and robustness evaluation of attribute-based zero-shot learning. Neural Networks 175: 106278 (2024) - [c40]Emanuele Balloni
Brain Visualizer: A Tool for EEG Data Processing and 3D Brain Activity Visualization. XR (2) 2024: 178-196 - [c39]Lorenzo Stacchio
X-NR: Towards An Extended Reality-Driven Human Evaluation Framework for Neural-Rendering. XR (1) 2024: 305-324 - 2023
- [j27]Marina Paolanti, Mariapaola Puggioni
Evaluating Learning Outcomes of Virtual Reality Applications in Education: A Proposal for Digital Cultural Heritage. ACM Journal on Computing and Cultural Heritage 16(2): 36:1-36:25 (2023) - [c38]Marina Paolanti, Francesca Matrone, Tiberio Uricchio, Benedetta Giovanola, Emanuele Frontoni, Andrea Maria Lingua, Roberto Pierdicca:
Artificial Intelligence for the analysis of Cultural Heritage point clouds. DH 2023 - [c37]Roberto Pierdicca, Tiberio Uricchio
Precision Archaeology: a computational approach to archeological risk assessment. DH 2023 - [c36]Ermanno Petrocchi
GeomEthics: Ethical Considerations About Using Artificial Intelligence in Geomatics. ICIAP Workshops (2) 2023: 282-293 - [c35]Andrea Felicetti
A Computer Vision-Based Water Level Monitoring System for Touchless and Sustainable Water Dispensing. ICIAP (1) 2023: 437-449 - 2022
- [j26]Marco Mameli
Deep Learning Approaches for Fashion Knowledge Extraction From Social Media: A Review. IEEE Access 10: 1545-1576 (2022) - [j25]Luca Spalazzi
An offline parallel architecture for forensic multimedia classification. Multim. Tools Appl. 81(16): 22715-22730 (2022) - [j24]Marina Paolanti
SeSAME: Re-identification-based ambient intelligence system for museum environment. Pattern Recognit. Lett. 161: 17-23 (2022) - [j23]Marco Mameli, Marina Paolanti
Social media analytics system for action inspection on social networks. Soc. Netw. Anal. Min. 12(1): 33 (2022) - [j22]Francesca Matrone
BubblEX: An Explainable Deep Learning Framework for Point-Cloud Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6571-6587 (2022) - [c34]Emanuele Frontoni, Marina Paolanti, Tracey P. Lauriault, Michael Stiber, Luciana Duranti, Muhammad Abdul-Mageed:
Trusted Data Forever: Is AI the Answer? EDBT/ICDT Workshops 2022 - [c33]Laura Della Sciucca, Emanuele Balloni
StyleTrendGAN: A Deep Learning Generative Framework for Fashion Bag Generation. ICIAP Workshops 2022: 191-202 - [c32]Michele Brocchini, Marco Mameli, Emanuele Balloni
MONstEr: A Deep Learning-Based System for the Automatic Generation of Gaming Assets. ICIAP Workshops (1) 2022: 280-290 - [c31]Marina Paolanti
PergaNet: A Deep Learning Framework for Automatic Appearance-Based Analysis of Ancient Parchment Collections. ICIAP Workshops 2022: 290-301 - [c30]Laura Della Sciucca, Marco Mameli, Emanuele Balloni
FakeNED: A Deep Learning Based-System for Fake News Detection from Social Media. ICIAP Workshops (1) 2022: 303-313 - [c29]Rocco Pietrini
A Deep Learning-Based System for Product Recognition in Intelligent Retail Environment. ICIAP (2) 2022: 371-382 - [i1]Emanuele Frontoni, Marina Paolanti, Tracey P. Lauriault, Michael Stiber, Luciana Duranti, Muhammad Abdul-Mageed:
Trusted Data Forever: Is AI the Answer? CoRR abs/2203.03712 (2022) - 2021
- [j21]Mariapaola Puggioni
ScoolAR: An Educational Platform to Improve Students' Learning Through Virtual Reality. IEEE Access 9: 21059-21070 (2021) - [j20]Marina Paolanti
Tourism destination management using sentiment analysis and geo-location information: a deep learning approach. J. Inf. Technol. Tour. 23(2): 241-264 (2021) - [j19]Luca Rossi, Marina Paolanti, Roberto Pierdicca, Emanuele Frontoni:
Human trajectory prediction and generation using LSTM models and GANs. Pattern Recognit. 120: 108136 (2021) - [c28]Roberto Pierdicca, Michele Sasso, Flavio Tonetto
Immersive Insights: Virtual Tour Analytics System for Understanding Visitor Behavior. AVR 2021: 135-155 - [c27]Marco Mameli, Marina Paolanti, Adriano Mancini, Emanuele Frontoni, Primo Zingaretti:
Detection and Classification of Defects in Plastic Components Using a Deep Learning Approach. IAS 2021: 713-722 - 2020
- [j18]Massimo Martini, Marina Paolanti
Open-World Person Re-Identification With RGBD Camera in Top-View Configuration for Retail Applications. IEEE Access 8: 67756-67765 (2020) - [j17]Marina Paolanti, Emanuele Frontoni:
Multidisciplinary Pattern Recognition applications: A review. Comput. Sci. Rev. 37: 100276 (2020) - [j16]Ramona Quattrini, Roberto Pierdicca, Marina Paolanti, Paolo Clini, Romina Nespeca
Digital interaction with 3D archaeological artefacts: evaluating user's behaviours at different representation scales. Digit. Appl. Archaeol. Cult. Heritage 18: 00148 (2020) - [j15]Luca Romeo
Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0. Expert Syst. Appl. 140 (2020) - [j14]Francesca Matrone
Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation. ISPRS Int. J. Geo Inf. 9(9): 535 (2020) - [j13]Matteo Calabrese, Martin Cimmino, Francesca Fiume
SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0. Inf. 11(4): 202 (2020) - [j12]Christian Morbidoni, Roberto Pierdicca, Marina Paolanti, Ramona Quattrini, Raissa Mammoli:
Learning from Synthetic Point Cloud Data for Historical Buildings Semantic Segmentation. ACM Journal on Computing and Cultural Heritage 13(4): 34:1-34:16 (2020) - [j11]Marina Paolanti
Deep understanding of shopper behaviours and interactions using RGB-D vision. Mach. Vis. Appl. 31(7): 66 (2020) - [j10]Roberto Pierdicca
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage. Remote. Sens. 12(6): 1005 (2020) - [j9]Roberto Pierdicca
A Visual Attentive Model for Discovering Patterns in Eye-Tracking Data - A Proposal in Cultural Heritage. Sensors 20(7): 2101 (2020) - [c26]Mariapaola Puggioni, Emanuele Frontoni, Marina Paolanti, Roberto Pierdicca, Eva Savina Malinverni, Michele Sasso:
A Content Creation Tool for AR/VR Applications in Education: The ScoolAR Framework. AVR (2) 2020: 205-219 - [c25]Roberto Pierdicca, Marina Paolanti, Emanuele Frontoni, Lorenzo Baraldi
AI4AR: An AI-Based Mobile Application for the Automatic Generation of AR Contents. AVR (1) 2020: 273-288 - [c24]Marina Paolanti, Marco Mameli, Emanuele Frontoni, Giorgia Gioacchini, Elisabetta Giorgini
Automatic Classification of Human Granulosa Cells in Assisted Reproductive Technology using vibrational spectroscopy imaging. ICPR 2020: 209-216 - [c23]Luca Marinelli, Marina Paolanti, Lorenzo Nardi, Patrizia Gabellini, Emanuele Frontoni, Gian Luca Gregori:
Data-Driven Knowledge Discovery in Retail: Evidences from the Vending Machine's Industry. ICPR Workshops (2) 2020: 508-520 - [c22]Giulia Pazzaglia, Marco Mameli, Luca Rossi, Marina Paolanti, Adriano Mancini, Primo Zingaretti, Emanuele Frontoni:
People Counting on Low Cost Embedded Hardware During the SARS-CoV-2 Pandemic. ICPR Workshops (2) 2020: 521-533 - [c21]Marco Mameli, Marina Paolanti, Nicola Conci
Weight Estimation from an RGB-D camera in top-view configuration. ICPR 2020: 7715-7722
2010 – 2019
- 2019
- [j8]Emanuele Frontoni, Adriano Mancini, Marco Baldi, Marina Paolanti, Sara Moccia
Sharing health data among general practitioners: The Nu.Sa. project. Int. J. Medical Informatics 129: 267-274 (2019) - [j7]Roberto Pierdicca, Marina Paolanti, Raffaele Vaira, Ernesto Marcheggiani
Identifying the use of a park based on clusters of visitors' movements from mobile phone data. J. Spatial Inf. Sci. 19: 29-52 (2019) - [j6]Marina Paolanti, Luca Romeo
Robotic retail surveying by deep learning visual and textual data. Robotics Auton. Syst. 118: 179-188 (2019) - [j5]Roberto Pierdicca
IoT and Engagement in the Ubiquitous Museum. Sensors 19(6): 1387 (2019) - [j4]Roberto Pierdicca
Design, Large-Scale Usage Testing, and Important Metrics for Augmented Reality Gaming Applications. ACM Trans. Multim. Comput. Commun. Appl. 15(2): 41:1-41:18 (2019) - [c20]Roberto Pierdicca, Marco Mameli
Automatic Generation of Point Cloud Synthetic Dataset for Historical Building Representation. AVR (1) 2019: 203-219 - [c19]Emanuele Frontoni, Marina Paolanti, Mariapaola Puggioni, Roberto Pierdicca, Michele Sasso:
Measuring and Assessing Augmented Reality Potential for Educational Purposes: SmartMarca Project. AVR (2) 2019: 319-334 - [c18]Rocco Pietrini
An IoT Edge-Fog-Cloud Architecture for Vision Based Planogram Integrity. ICDSC 2019: 6:1-6:5 - [c17]Marina Paolanti, Roberto Pierdicca, Massimo Martini, Francesco Di Stefano, Christian Morbidoni
Semantic 3D Object Maps for Everyday Robotic Retail Inspection. ICIAP Workshops 2019: 263-274 - [c16]Andrea Felicetti, Massimo Martini, Marina Paolanti, Roberto Pierdicca, Emanuele Frontoni, Primo Zingaretti:
Visual and Textual Sentiment Analysis of Daily News Social Media Images by Deep Learning. ICIAP (1) 2019: 477-487 - 2018
- [j3]Roberto Pierdicca
User-Centered Predictive Model for Improving Cultural Heritage Augmented Reality Applications: An HMM-Based Approach for Eye-Tracking Data. J. Imaging 4(8): 101 (2018) - [j2]Marina Paolanti
Modelling and Forecasting Customer Navigation in Intelligent Retail Environments. J. Intell. Robotic Syst. 91(2): 165-180 (2018) - [j1]Marina Paolanti
Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection. Sensors 18(10): 3471 (2018) - [c15]Daniele Liciotti, Marina Paolanti, Rocco Pietrini
Convolutional Networks for Semantic Heads Segmentation using Top-View Depth Data in Crowded Environment. ICPR 2018: 1384-1389 - [c14]Marina Paolanti, Valerio Placidi, Michele Bernardini, Andrea Felicetti, Rocco Pietrini, Emanuele Frontoni:
An Agent Based WCET Analysis for Top-View Person Re-Identification. RTcMAS@IJCAI 2018: 45-59 - [c13]Chiara Calamanti, Marina Paolanti, Luca Romeo
Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction. MESA 2018: 1-6 - [c12]Marina Paolanti, Luca Romeo
Machine Learning approach for Predictive Maintenance in Industry 4.0. MESA 2018: 1-6 - [c11]Rocco Pietrini
CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment. RRPR 2018: 85-88 - 2017
- [c10]Marina Paolanti, Mirco Sturari, Adriano Mancini
Mobile robot for retail surveying and inventory using visual and textual analysis of monocular pictures based on deep learning. ECMR 2017: 1-6 - [c9]Mirco Sturari, Marina Paolanti, Emanuele Frontoni
Robotic platform for deep change detection for rail safety and security. ECMR 2017: 1-6 - [c8]Emanuele Frontoni
Design of an interoperable framework with domotic sensors network integration. ICCE-Berlin 2017: 49-50 - [c7]Lucio Ciabattoni, Emanuele Frontoni
A sensor fusion approach for measuring emotional customer experience in an intelligent retail environment. ICCE-Berlin 2017: 67-68 - [c6]Daniele Liciotti, Marina Paolanti, Emanuele Frontoni
People Detection and Tracking from an RGB-D Camera in Top-View Configuration: Review of Challenges and Applications. ICIAP Workshops 2017: 207-218 - [c5]Marina Paolanti, Carolin Kaiser, René Schallner
Visual and Textual Sentiment Analysis of Brand-Related Social Media Pictures Using Deep Convolutional Neural Networks. ICIAP (1) 2017: 402-413 - [c4]Maura Mengoni
Customer Experience: A Design Approach and Supporting Platform. PRO-VE 2017: 287-298 - 2016
- [c3]Simona Naspetti
Automatic Analysis of Eye-Tracking Data for Augmented Reality Applications: A Prospective Outlook. AVR (2) 2016: 217-230 - [c2]Emanuele Frontoni
Optimal production planning by reusing components. MED 2016: 1272-1277 - [c1]Daniele Liciotti
Person Re-identification Dataset with RGB-D Camera in a Top-View Configuration. VAAM/FFER@ICPR 2016: 1-11
Coauthor Index
[j34] [j31] [j30] [j29] [c39] [j27] [c38] [c37] [c36] [c35] [j26] [j25] [j24] [j23] [c34] [c33] [c32] [c31] [c30] [c29] [i1] [j21] [j20] [j19] [c27] [j18] [j17] [j16] [j15] [j13] [j11] [j10] [j9] [c26] [c25] [c24] [c23] [c22] [c21] [j8] [j7] [j6] [j4] [c20] [c19] [c18] [c17] [c16] [j3] [j2] [j1] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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last updated on 2024-10-16 20:27 CEST by the dblp team
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